diff --git "a/Query/sql/v3/grounding/inventories/m6_inventory_v3.json" "b/Query/sql/v3/grounding/inventories/m6_inventory_v3.json" new file mode 100644--- /dev/null +++ "b/Query/sql/v3/grounding/inventories/m6_inventory_v3.json" @@ -0,0 +1,16257 @@ +{ + "dataset_id": "m6", + "inventory_version": "subitem_workload_v3", + "planner_kind": "cli", + "line_version": "v3", + "planner_usage_summary": { + "planner_kind": "cli", + "model": "gpt-5.4", + "calls": 1, + "input_tokens": 26804, + "cached_input_tokens": 19840, + "output_tokens": 167, + "total_tokens": 26971, + "cost_usd": 0.0, + "usage_source": "ai_cli_json_usage", + "command": "codex exec --disable plugins --sandbox read-only --cd \"D:\\dpan\\Uni\\Project\\HKUNAISS\\SQLagent\" -m gpt-5.4 --json -", + "request_timeout_seconds": 420, + "invoke_retries": 2, + "by_module": { + "select_templates_cli": { + "calls": 1, + "input_tokens": 26804, + "cached_input_tokens": 19840, + "output_tokens": 167, + "total_tokens": 26971, + "cost_usd": 0.0 + } + } + }, + "role_profile_summary": { + "dataset_id": "m6", + "row_count": 12330, + "target_column": "VisitorType", + "groupable_cols": [ + "Administrative", + "Informational", + "SpecialDay", + "Month", + "OperatingSystems", + "Browser", + "Region", + "TrafficType" + ], + "numeric_cols": [ + "Administrative", + "Administrative_Duration", + "Informational", + "Informational_Duration", + "ProductRelated", + "ProductRelated_Duration", + "BounceRates", + "ExitRates" + ], + "low_card_cols": [ + "SpecialDay", + "OperatingSystems", + "VisitorType", + "Weekend", + "Revenue" + ], + "high_card_cols": [ + "Administrative", + "Administrative_Duration", + "Informational_Duration", + "ProductRelated", + "ProductRelated_Duration", + "BounceRates", + "ExitRates", + "PageValues" + ], + "temporal_cols": [], + "missing_cols": [], + "filterable_cols": [ + "Administrative", + "Administrative_Duration", + "Informational", + "Informational_Duration", + "ProductRelated", + "ProductRelated_Duration", + "BounceRates", + "ExitRates" + ], + "condition_cols": [ + "SpecialDay", + "OperatingSystems", + "VisitorType", + "Weekend", + "Revenue" + ] + }, + "selected_template_count": 15, + "selected_agent_template_count": 12, + "selected_deterministic_template_count": 3, + "problem_count": 262, + "agent_problem_count": 207, + "deterministic_problem_count": 55, + "coverage_policy": { + "agent_template_families": [ + "subgroup_structure", + "conditional_dependency_structure", + "tail_rarity_structure" + ], + "agent_selected_template_min": 10, + "agent_selected_template_target": 12, + "agent_problem_count_per_template_min": 4, + "agent_problem_count_per_template_max": 12, + "agent_sql_variants_per_problem": "1-2", + "agent_dataset_subitem_min_sql": 5, + "deterministic_policy": "enumerate_all_applicable" + }, + "selected_agent_templates": [ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "source_workload_id": "clickbench_hits", + "primary_family": "subgroup_structure", + "secondary_family": null, + "intent": "Count rows by a single subgroup dimension to capture baseline subgroup mass.", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q08" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q08" + } + ], + "status": "ready", + "notes": "Closest to dashboard-style subgroup mass queries; deliberately keeps only one group axis for broad portability.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "subgroup_size_stability" + ], + "allowed_variant_roles": [ + "count_distribution" + ], + "default_facet_ids": [ + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 1, + "planned_problem_count": 8, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "source_workload_id": "clickbench_hits", + "primary_family": "subgroup_structure", + "secondary_family": "conditional_dependency_structure", + "intent": "Rank subgroups by support within a filtered slice.", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "predicate_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "predicate_col:filterable", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q13" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q13" + } + ], + "status": "ready", + "notes": "A cleaner heavy-hitter slice than the existing two-dimensional filtered count template.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "predicate_col" + ], + "supported_canonical_subitem_ids": [ + "subgroup_size_stability" + ], + "allowed_variant_roles": [ + "count_distribution", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 2, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "subgroup_structure", + "secondary_family": null, + "intent": "Compare mean numeric outcomes across subgroups.", + "sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0012" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0012" + } + ], + "status": "ready", + "notes": "One of the most reusable regression-style templates among the public insurance SQL repository exemplars.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "collapsed_target_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_conditional_contrast", + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 3, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "source_workload_id": "tpcds_qualification", + "primary_family": "subgroup_structure", + "secondary_family": "conditional_dependency_structure", + "intent": "Rank subgroups by total numeric measure under a filter.", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "predicate_col:filterable", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://raw.githubusercontent.com/cwida/tpcds-result-reproduction/master/query_qualification/03.sql", + "title": "query_qualification/03.sql · tpcds-result-reproduction", + "source_query_id": "TPC-DS Q3" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/cwida/tpcds-result-reproduction/master/query_qualification/03.sql", + "title": "query_qualification/03.sql · tpcds-result-reproduction", + "source_query_id": "TPC-DS Q3" + } + ], + "status": "ready", + "notes": "A pragmatic single-table reduction of a common sales-ranking pattern.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "ranked_signal_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_conditional_contrast", + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 4, + "planned_problem_count": 11, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "source_workload_id": "h2o_db_benchmark", + "primary_family": "subgroup_structure", + "secondary_family": "tail_rarity_structure", + "intent": "Compare robust center and spread of a numeric measure across a two-way subgroup grid.", + "sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "group_col_2:groupable_distinct_from_group_col", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://raw.githubusercontent.com/h2oai/db-benchmark/master/duckdb/groupby-duckdb.R", + "title": "duckdb/groupby-duckdb.R · h2oai/db-benchmark", + "source_query_id": "H2O groupby q6" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/h2oai/db-benchmark/master/duckdb/groupby-duckdb.R", + "title": "duckdb/groupby-duckdb.R · h2oai/db-benchmark", + "source_query_id": "H2O groupby q6" + } + ], + "status": "ready", + "notes": "Kept in the core registry as an optional analytics template. It is dialect-sensitive because ordered-set percentile support varies across SQL engines.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Uses ordered-set percentile and standard-deviation aggregates. Keep it optional unless the downstream SQL engine supports PERCENTILE_CONT/QUANTILE_CONT-style syntax.", + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "collapsed_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_conditional_contrast", + "subgroup_distribution_shift" + ], + "gate_priority": "support", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 5, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Estimate the proportion of rows meeting a low-cardinality condition within each subgroup.", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0016" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0016" + } + ], + "status": "ready", + "notes": "Strong analytics template for subgroup-conditional proportions with broad portability.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity", + "direction_consistency" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "focused_target_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 6, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "source_workload_id": "car_evaluation_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Measure how a categorical target rate changes across a pair of subgroup axes.", + "sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "group_col_2:groupable_distinct_from_group_col", + "target_col:categorical_or_binary", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql", + "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL", + "source_query_id": "c2_sql_0007" + }, + "provenance_sources": [ + { + "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql", + "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL", + "source_query_id": "c2_sql_0007" + } + ], + "status": "ready", + "notes": "Strong fit for classification-style single-table datasets; partial on regression tasks.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity", + "direction_consistency" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "ranked_signal_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 7, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "source_workload_id": "tpcds_qualification", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Measure each item's contribution within a parent subgroup using a windowed share-of-total.", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "item_col:groupable_or_high_cardinality", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://raw.githubusercontent.com/cwida/tpcds-result-reproduction/master/query_qualification/98.sql", + "title": "query_qualification/98.sql · tpcds-result-reproduction", + "source_query_id": "TPC-DS Q98" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/cwida/tpcds-result-reproduction/master/query_qualification/98.sql", + "title": "query_qualification/98.sql · tpcds-result-reproduction", + "source_query_id": "TPC-DS Q98" + } + ], + "status": "ready", + "notes": "One of the strongest workload-grounded window templates retained in v1.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "focused_target_view" + ], + "default_facet_ids": [ + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 8, + "planned_problem_count": 11, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "source_workload_id": "clickhouse_aggregate_docs", + "primary_family": "conditional_dependency_structure", + "secondary_family": "tail_rarity_structure", + "intent": "Report subgroup percentile points only for rows satisfying a low-cardinality condition.", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "required_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf", + "title": "quantilesTimingIf | ClickHouse Docs", + "source_query_id": "ClickHouse quantilesTimingIf example" + }, + "provenance_sources": [ + { + "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf", + "title": "quantilesTimingIf | ClickHouse Docs", + "source_query_id": "ClickHouse quantilesTimingIf example" + } + ], + "status": "ready", + "notes": "Kept optional because it is highly valuable for observability-style tails but more dialect-sensitive than the rest of the core library.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Uses percentile syntax plus conditional aggregation/filter semantics. Keep it optional unless the downstream engine supports ordered-set percentiles and FILTER/If-style conditioning.", + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "slice_level_consistency", + "direction_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "conditional_interaction_hotspots" + ], + "gate_priority": "support", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 9, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "source_workload_id": "bigquery_approx_aggregate_docs", + "primary_family": "tail_rarity_structure", + "secondary_family": "subgroup_structure", + "intent": "Report a percentile point such as p95 or p99 for each subgroup instead of returning the raw tail rows.", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions", + "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation", + "source_query_id": "BigQuery APPROX_QUANTILES example" + }, + "provenance_sources": [ + { + "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions", + "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation", + "source_query_id": "BigQuery APPROX_QUANTILES example" + }, + { + "url": "https://trino.io/docs/current/functions/aggregate.html", + "title": "Aggregate functions — Trino Documentation", + "source_query_id": "Trino approx_percentile" + }, + { + "url": "https://docs.snowflake.com/en/sql-reference/functions/percentile_cont", + "title": "PERCENTILE_CONT | Snowflake Documentation", + "source_query_id": "Snowflake PERCENTILE_CONT grouped example" + }, + { + "url": "https://clickhouse.com/docs/sql-reference/aggregate-functions/reference/quantile", + "title": "quantile | ClickHouse Docs", + "source_query_id": "ClickHouse quantile example" + }, + { + "url": "https://druid.apache.org/docs/latest/querying/sql-functions/", + "title": "All Druid SQL functions | Apache Druid", + "source_query_id": "Druid APPROX_QUANTILE_DS example" + }, + { + "url": "https://docs.pinot.apache.org/functions/aggregation/percentile", + "title": "percentile | Apache Pinot Docs", + "source_query_id": "Pinot percentile example" + } + ], + "status": "ready", + "notes": "Canonical percentile-point family added so the library can represent p95/p99 style tail monitoring without returning full quantile slices.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Represents a canonical percentile-point family, but concrete SQL differs across engines (for example PERCENTILE_CONT, APPROX_QUANTILES, approx_percentile, or quantile-style syntax).", + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "tail_concentration_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "rare_target_concentration" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 10, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "source_workload_id": "subitem_workload_v2", + "primary_family": "tail_rarity_structure", + "secondary_family": null, + "intent": "New v2 agent template for classification-style tail concentration coverage.", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_agent_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_target_rate_extremes_v2" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_target_rate_extremes_v2" + } + ], + "status": "ready", + "notes": "New v2 agent template for classification-style tail concentration coverage.", + "materialization_bucket": "v2_agent", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "tail_concentration_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "rare_target_concentration" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v2", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 11, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "source_workload_id": "subitem_workload_v2", + "primary_family": "tail_rarity_structure", + "secondary_family": null, + "intent": "New v2 agent template for sparse pairwise tail slices.", + "sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "group_col_2" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_agent_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_pairwise_sparse_slice_v2" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_pairwise_sparse_slice_v2" + } + ], + "status": "ready", + "notes": "New v2 agent template for sparse pairwise tail slices.", + "materialization_bucket": "v2_agent", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2" + ], + "supported_canonical_subitem_ids": [ + "tail_set_consistency", + "tail_mass_similarity" + ], + "allowed_variant_roles": [ + "rare_extreme_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "low_support_extremes", + "tail_ranked_signal" + ], + "gate_priority": "support", + "source_catalog": "template_library_v2", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 12, + "planned_problem_count": 7, + "sql_variant_policy": "1-2" + } + ], + "selected_deterministic_templates": [ + { + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_distinct_share_profile" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_distinct_share_profile" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "support_rank_profile_consistency" + ], + "allowed_variant_roles": [ + "ranked_signal_view" + ], + "default_facet_ids": [ + "value_imbalance_profile", + "support_concentration" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + }, + { + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_support_rank_profile" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_support_rank_profile" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "support_rank_profile_consistency" + ], + "allowed_variant_roles": [ + "count_distribution" + ], + "default_facet_ids": [ + "value_imbalance_profile", + "support_concentration" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + }, + { + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "required_roles": [ + "key_col", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_high_card_response_stability" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_high_card_response_stability" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "key_col", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "high_cardinality_response_stability" + ], + "allowed_variant_roles": [ + "focused_target_view" + ], + "default_facet_ids": [ + "target_cardinality_cross_section" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + } + ], + "selected_templates": [ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "source_workload_id": "clickbench_hits", + "primary_family": "subgroup_structure", + "secondary_family": null, + "intent": "Count rows by a single subgroup dimension to capture baseline subgroup mass.", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q08" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q08" + } + ], + "status": "ready", + "notes": "Closest to dashboard-style subgroup mass queries; deliberately keeps only one group axis for broad portability.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "subgroup_size_stability" + ], + "allowed_variant_roles": [ + "count_distribution" + ], + "default_facet_ids": [ + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 1, + "planned_problem_count": 8, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "source_workload_id": "clickbench_hits", + "primary_family": "subgroup_structure", + "secondary_family": "conditional_dependency_structure", + "intent": "Rank subgroups by support within a filtered slice.", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "predicate_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "predicate_col:filterable", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q13" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/ClickHouse/ClickBench/main/clickhouse/queries.sql", + "title": "clickhouse/queries.sql · ClickBench", + "source_query_id": "ClickBench Q13" + } + ], + "status": "ready", + "notes": "A cleaner heavy-hitter slice than the existing two-dimensional filtered count template.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "predicate_col" + ], + "supported_canonical_subitem_ids": [ + "subgroup_size_stability" + ], + "allowed_variant_roles": [ + "count_distribution", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 2, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "subgroup_structure", + "secondary_family": null, + "intent": "Compare mean numeric outcomes across subgroups.", + "sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0012" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0012" + } + ], + "status": "ready", + "notes": "One of the most reusable regression-style templates among the public insurance SQL repository exemplars.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "collapsed_target_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_conditional_contrast", + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 3, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "source_workload_id": "tpcds_qualification", + "primary_family": "subgroup_structure", + "secondary_family": "conditional_dependency_structure", + "intent": "Rank subgroups by total numeric measure under a filter.", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "predicate_col:filterable", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://raw.githubusercontent.com/cwida/tpcds-result-reproduction/master/query_qualification/03.sql", + "title": "query_qualification/03.sql · tpcds-result-reproduction", + "source_query_id": "TPC-DS Q3" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/cwida/tpcds-result-reproduction/master/query_qualification/03.sql", + "title": "query_qualification/03.sql · tpcds-result-reproduction", + "source_query_id": "TPC-DS Q3" + } + ], + "status": "ready", + "notes": "A pragmatic single-table reduction of a common sales-ranking pattern.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "ranked_signal_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_conditional_contrast", + "subgroup_distribution_shift" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 4, + "planned_problem_count": 11, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "source_workload_id": "h2o_db_benchmark", + "primary_family": "subgroup_structure", + "secondary_family": "tail_rarity_structure", + "intent": "Compare robust center and spread of a numeric measure across a two-way subgroup grid.", + "sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "group_col_2:groupable_distinct_from_group_col", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://raw.githubusercontent.com/h2oai/db-benchmark/master/duckdb/groupby-duckdb.R", + "title": "duckdb/groupby-duckdb.R · h2oai/db-benchmark", + "source_query_id": "H2O groupby q6" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/h2oai/db-benchmark/master/duckdb/groupby-duckdb.R", + "title": "duckdb/groupby-duckdb.R · h2oai/db-benchmark", + "source_query_id": "H2O groupby q6" + } + ], + "status": "ready", + "notes": "Kept in the core registry as an optional analytics template. It is dialect-sensitive because ordered-set percentile support varies across SQL engines.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Uses ordered-set percentile and standard-deviation aggregates. Keep it optional unless the downstream SQL engine supports PERCENTILE_CONT/QUANTILE_CONT-style syntax.", + "family_id": "subgroup_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "internal_profile_stability" + ], + "allowed_variant_roles": [ + "collapsed_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "subgroup_rank_order", + "subgroup_conditional_contrast", + "subgroup_distribution_shift" + ], + "gate_priority": "support", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 5, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "source_workload_id": "insurance_cost_project_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Estimate the proportion of rows meeting a low-cardinality condition within each subgroup.", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0016" + }, + "provenance_sources": [ + { + "url": "https://github.com/arka420/Insurance-Cost-Project-Using-SQL/blob/main/Insurance%20cost%20%20SQL%20analysis.sql", + "title": "Insurance cost SQL analysis.sql · Insurance-Cost-Project-Using-SQL", + "source_query_id": "m4_sql_0016" + } + ], + "status": "ready", + "notes": "Strong analytics template for subgroup-conditional proportions with broad portability.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity", + "direction_consistency" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "focused_target_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 6, + "planned_problem_count": 9, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "source_workload_id": "car_evaluation_sql_repo", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Measure how a categorical target rate changes across a pair of subgroup axes.", + "sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "group_col_2:groupable_distinct_from_group_col", + "target_col:categorical_or_binary", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql", + "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL", + "source_query_id": "c2_sql_0007" + }, + "provenance_sources": [ + { + "url": "https://github.com/nehanawar025/Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL/blob/main/Answers.sql", + "title": "Answers.sql · Exploratory-Analysis-of-Car-Evaluation-Dataset-with-SQL", + "source_query_id": "c2_sql_0007" + } + ], + "status": "ready", + "notes": "Strong fit for classification-style single-table datasets; partial on regression tasks.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity", + "direction_consistency" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "ranked_signal_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 7, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "source_workload_id": "tpcds_qualification", + "primary_family": "conditional_dependency_structure", + "secondary_family": "subgroup_structure", + "intent": "Measure each item's contribution within a parent subgroup using a windowed share-of-total.", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "item_col:groupable_or_high_cardinality", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "partial", + "provenance": { + "url": "https://raw.githubusercontent.com/cwida/tpcds-result-reproduction/master/query_qualification/98.sql", + "title": "query_qualification/98.sql · tpcds-result-reproduction", + "source_query_id": "TPC-DS Q98" + }, + "provenance_sources": [ + { + "url": "https://raw.githubusercontent.com/cwida/tpcds-result-reproduction/master/query_qualification/98.sql", + "title": "query_qualification/98.sql · tpcds-result-reproduction", + "source_query_id": "TPC-DS Q98" + } + ], + "status": "ready", + "notes": "One of the strongest workload-grounded window templates retained in v1.", + "materialization_bucket": "core", + "activation_tier": "core", + "dialect_sensitive": false, + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "dependency_strength_similarity" + ], + "allowed_variant_roles": [ + "within_group_proportion", + "focused_target_view" + ], + "default_facet_ids": [ + "pairwise_conditional_dependency" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 8, + "planned_problem_count": 11, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "source_workload_id": "clickhouse_aggregate_docs", + "primary_family": "conditional_dependency_structure", + "secondary_family": "tail_rarity_structure", + "intent": "Report subgroup percentile points only for rows satisfying a low-cardinality condition.", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "required_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "condition_col:binary_or_low_cardinality_preferred", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf", + "title": "quantilesTimingIf | ClickHouse Docs", + "source_query_id": "ClickHouse quantilesTimingIf example" + }, + "provenance_sources": [ + { + "url": "https://clickhouse.com/docs/examples/aggregate-function-combinators/quantilesTimingIf", + "title": "quantilesTimingIf | ClickHouse Docs", + "source_query_id": "ClickHouse quantilesTimingIf example" + } + ], + "status": "ready", + "notes": "Kept optional because it is highly valuable for observability-style tails but more dialect-sensitive than the rest of the core library.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Uses percentile syntax plus conditional aggregation/filter semantics. Keep it optional unless the downstream engine supports ordered-set percentiles and FILTER/If-style conditioning.", + "family_id": "conditional_dependency_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "supported_canonical_subitem_ids": [ + "slice_level_consistency", + "direction_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "conditional_rate_shift", + "conditional_interaction_hotspots" + ], + "gate_priority": "support", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 9, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "source_workload_id": "bigquery_approx_aggregate_docs", + "primary_family": "tail_rarity_structure", + "secondary_family": "subgroup_structure", + "intent": "Report a percentile point such as p95 or p99 for each subgroup instead of returning the raw tail rows.", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ], + "optional_roles": [], + "constraints": [ + "group_col:groupable", + "measure_col:numeric", + "single_table_only" + ], + "single_table_portable": "yes", + "provenance": { + "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions", + "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation", + "source_query_id": "BigQuery APPROX_QUANTILES example" + }, + "provenance_sources": [ + { + "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions", + "title": "Approximate aggregate functions | BigQuery | Google Cloud Documentation", + "source_query_id": "BigQuery APPROX_QUANTILES example" + }, + { + "url": "https://trino.io/docs/current/functions/aggregate.html", + "title": "Aggregate functions — Trino Documentation", + "source_query_id": "Trino approx_percentile" + }, + { + "url": "https://docs.snowflake.com/en/sql-reference/functions/percentile_cont", + "title": "PERCENTILE_CONT | Snowflake Documentation", + "source_query_id": "Snowflake PERCENTILE_CONT grouped example" + }, + { + "url": "https://clickhouse.com/docs/sql-reference/aggregate-functions/reference/quantile", + "title": "quantile | ClickHouse Docs", + "source_query_id": "ClickHouse quantile example" + }, + { + "url": "https://druid.apache.org/docs/latest/querying/sql-functions/", + "title": "All Druid SQL functions | Apache Druid", + "source_query_id": "Druid APPROX_QUANTILE_DS example" + }, + { + "url": "https://docs.pinot.apache.org/functions/aggregation/percentile", + "title": "percentile | Apache Pinot Docs", + "source_query_id": "Pinot percentile example" + } + ], + "status": "ready", + "notes": "Canonical percentile-point family added so the library can represent p95/p99 style tail monitoring without returning full quantile slices.", + "materialization_bucket": "core", + "activation_tier": "optional", + "dialect_sensitive": true, + "dialect_notes": "Represents a canonical percentile-point family, but concrete SQL differs across engines (for example PERCENTILE_CONT, APPROX_QUANTILES, approx_percentile, or quantile-style syntax).", + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "measure_col" + ], + "supported_canonical_subitem_ids": [ + "tail_concentration_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "rare_target_concentration" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v1", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 10, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "source_workload_id": "subitem_workload_v2", + "primary_family": "tail_rarity_structure", + "secondary_family": null, + "intent": "New v2 agent template for classification-style tail concentration coverage.", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_agent_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_target_rate_extremes_v2" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_target_rate_extremes_v2" + } + ], + "status": "ready", + "notes": "New v2 agent template for classification-style tail concentration coverage.", + "materialization_bucket": "v2_agent", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "tail_concentration_consistency" + ], + "allowed_variant_roles": [ + "focused_target_view", + "ranked_signal_view" + ], + "default_facet_ids": [ + "rare_target_concentration" + ], + "gate_priority": "primary", + "source_catalog": "template_library_v2", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 11, + "planned_problem_count": 10, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "source_workload_id": "subitem_workload_v2", + "primary_family": "tail_rarity_structure", + "secondary_family": null, + "intent": "New v2 agent template for sparse pairwise tail slices.", + "sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "group_col_2" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_agent_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_pairwise_sparse_slice_v2" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_tail_pairwise_sparse_slice_v2" + } + ], + "status": "ready", + "notes": "New v2 agent template for sparse pairwise tail slices.", + "materialization_bucket": "v2_agent", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "tail_rarity_structure", + "realization_mode": "agent", + "binding_roles": [ + "group_col", + "group_col_2" + ], + "supported_canonical_subitem_ids": [ + "tail_set_consistency", + "tail_mass_similarity" + ], + "allowed_variant_roles": [ + "rare_extreme_view", + "filtered_stable_view" + ], + "default_facet_ids": [ + "low_support_extremes", + "tail_ranked_signal" + ], + "gate_priority": "support", + "source_catalog": "template_library_v2", + "extended_family": false, + "selection_mode": "cli", + "selected_template_rank": 12, + "planned_problem_count": 7, + "sql_variant_policy": "1-2" + }, + { + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_distinct_share_profile" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_distinct_share_profile" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "support_rank_profile_consistency" + ], + "allowed_variant_roles": [ + "ranked_signal_view" + ], + "default_facet_ids": [ + "value_imbalance_profile", + "support_concentration" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + }, + { + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "required_roles": [ + "group_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_support_rank_profile" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_support_rank_profile" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "group_col" + ], + "supported_canonical_subitem_ids": [ + "support_rank_profile_consistency" + ], + "allowed_variant_roles": [ + "count_distribution" + ], + "default_facet_ids": [ + "value_imbalance_profile", + "support_concentration" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + }, + { + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "source_workload_id": "subitem_workload_v2", + "primary_family": "cardinality_structure", + "secondary_family": null, + "intent": "New deterministic template for v2.", + "sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "required_roles": [ + "key_col", + "target_col" + ], + "optional_roles": [], + "constraints": [ + "single_table_only", + "v2_deterministic_template" + ], + "single_table_portable": "yes", + "provenance": { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_high_card_response_stability" + }, + "provenance_sources": [ + { + "url": "local://subitem_workload_v2", + "title": "Locally authored v2 template", + "source_query_id": "tpl_cardinality_high_card_response_stability" + } + ], + "status": "ready", + "notes": "New deterministic template for v2.", + "materialization_bucket": "v2_deterministic", + "activation_tier": "v2", + "dialect_sensitive": false, + "family_id": "cardinality_structure", + "realization_mode": "deterministic", + "binding_roles": [ + "key_col", + "target_col" + ], + "supported_canonical_subitem_ids": [ + "high_cardinality_response_stability" + ], + "allowed_variant_roles": [ + "focused_target_view" + ], + "default_facet_ids": [ + "target_cardinality_cross_section" + ], + "gate_priority": "deterministic", + "source_catalog": "template_library_v2", + "extended_family": true + } + ], + "items": [ + { + "query_record_id": "v2q_m6_b0c9bb83175dcf10", + "problem_id": "v2p_m6_da40372a99968b08", + "dataset_id": "m6", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Administrative.", + "bindings": { + "group_col": "Administrative", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=0" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_ce6038ce08dbbe56", + "problem_id": "v2p_m6_d853c21c49d8d83f", + "dataset_id": "m6", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Informational.", + "bindings": { + "group_col": "Informational", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=1" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_05eaeadd12b991fe", + "problem_id": "v2p_m6_78e190229d1a0ff8", + "dataset_id": "m6", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=SpecialDay.", + "bindings": { + "group_col": "SpecialDay", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=2" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_d968bee780c655a6", + "problem_id": "v2p_m6_3bd25a1c66c01498", + "dataset_id": "m6", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Month.", + "bindings": { + "group_col": "Month", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=3" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_5561485ad0f17072", + "problem_id": "v2p_m6_e8e2b6a070b87b84", + "dataset_id": "m6", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=OperatingSystems.", + "bindings": { + "group_col": "OperatingSystems", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=4" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_4818c05571a529ff", + "problem_id": "v2p_m6_5e6a52aa4493b4b6", + "dataset_id": "m6", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Browser.", + "bindings": { + "group_col": "Browser", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=5" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_2806bc7fa42c597c", + "problem_id": "v2p_m6_b6e4e64df54eb764", + "dataset_id": "m6", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Region.", + "bindings": { + "group_col": "Region", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=6" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_46171246e6628155", + "problem_id": "v2p_m6_a197f7795ac727b9", + "dataset_id": "m6", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=TrafficType.", + "bindings": { + "group_col": "TrafficType", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=7" + ], + "template_selection_mode": "cli", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_3c2ca273505f0bd3", + "problem_id": "v2p_m6_3f51577fdd54ed44", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Informational.", + "bindings": { + "group_col": "Informational", + "predicate_col": "Browser", + "predicate_op": ">=", + "predicate_value": 2.0, + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=12" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_869158cf99943dd6", + "problem_id": "v2p_m6_aae4d72100dd4455", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=Informational.", + "bindings": { + "group_col": "Informational", + "predicate_col": "Weekend", + "predicate_op": "=", + "predicate_value": "FALSE", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=12" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_aaf8de53e0549e97", + "problem_id": "v2p_m6_1ce09cd04903f0ba", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=SpecialDay.", + "bindings": { + "group_col": "SpecialDay", + "predicate_col": "Region", + "predicate_op": ">=", + "predicate_value": 4.0, + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=13" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_29b92ffc1678d823", + "problem_id": "v2p_m6_8343b4b9f74ba05c", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=SpecialDay.", + "bindings": { + "group_col": "SpecialDay", + "predicate_col": "Revenue", + "predicate_op": "=", + "predicate_value": "TRUE", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=13" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_0e52e38c28158986", + "problem_id": "v2p_m6_a5dba95598294c66", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Month.", + "bindings": { + "group_col": "Month", + "predicate_col": "TrafficType", + "predicate_op": ">=", + "predicate_value": 4.0, + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=14" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_68b1f45995058369", + "problem_id": "v2p_m6_cb1647eea316f2d6", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=Month.", + "bindings": { + "group_col": "Month", + "predicate_col": "Administrative", + "predicate_op": ">=", + "predicate_value": 4.0, + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=14" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_cafd895ebf4b1941", + "problem_id": "v2p_m6_1c5ea081cbeda4f3", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=OperatingSystems.", + "bindings": { + "group_col": "OperatingSystems", + "predicate_col": "VisitorType", + "predicate_op": "=", + "predicate_value": "Returning_Visitor", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=15" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_dbe6cd1a4424ab08", + "problem_id": "v2p_m6_c4d8744c0a9879b4", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=OperatingSystems.", + "bindings": { + "group_col": "OperatingSystems", + "predicate_col": "Administrative_Duration", + "predicate_op": ">=", + "predicate_value": 93.25625, + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=15" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ee842331cca06258", + "problem_id": "v2p_m6_80184d19c3955012", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Browser.", + "bindings": { + "group_col": "Browser", + "predicate_col": "Weekend", + "predicate_op": "=", + "predicate_value": "FALSE", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=16" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_029df8a9b3e40d26", + "problem_id": "v2p_m6_9ace3edbfe290945", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=Browser.", + "bindings": { + "group_col": "Browser", + "predicate_col": "Informational", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=16" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_c0bbd512dea12315", + "problem_id": "v2p_m6_a0e484195061a0d3", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=Region.", + "bindings": { + "group_col": "Region", + "predicate_col": "Revenue", + "predicate_op": "=", + "predicate_value": "TRUE", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=17" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_2041cad5f268048b", + "problem_id": "v2p_m6_de05cad96dfddf74", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Region.", + "bindings": { + "group_col": "Region", + "predicate_col": "Informational_Duration", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=17" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_8a316c8d88d18711", + "problem_id": "v2p_m6_85580cdb3241ec3b", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=TrafficType.", + "bindings": { + "group_col": "TrafficType", + "predicate_col": "Administrative", + "predicate_op": ">=", + "predicate_value": 4.0, + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=18" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_a0fc9af34a1bcbdb", + "problem_id": "v2p_m6_935bcff07682cb12", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=TrafficType.", + "bindings": { + "group_col": "TrafficType", + "predicate_col": "ProductRelated", + "predicate_op": ">=", + "predicate_value": 38.0, + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=18" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4cdd227feb7910c6", + "problem_id": "v2p_m6_a306470c41e0048b", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=VisitorType.", + "bindings": { + "group_col": "VisitorType", + "predicate_col": "Administrative_Duration", + "predicate_op": ">=", + "predicate_value": 93.25625, + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=19" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_813ee2043ff77cb3", + "problem_id": "v2p_m6_6175b02c8cde910b", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=VisitorType.", + "bindings": { + "group_col": "VisitorType", + "predicate_col": "ProductRelated_Duration", + "predicate_op": ">=", + "predicate_value": 1464.157214, + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=19" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_cc85f30112f0ebd2", + "problem_id": "v2p_m6_817c6486b24325f2", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Weekend.", + "bindings": { + "group_col": "Weekend", + "predicate_col": "Informational", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=20" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_636e4eb3e088848f", + "problem_id": "v2p_m6_5ee619242d610515", + "dataset_id": "m6", + "template_id": "tpl_clickbench_filtered_topk_group_count", + "template_name": "Filtered Top-k Group Count", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=Weekend.", + "bindings": { + "group_col": "Weekend", + "predicate_col": "BounceRates", + "predicate_op": ">=", + "predicate_value": 0.016813, + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=20" + ], + "template_selection_mode": "cli", + "selected_template_rank": 2, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_415b13bcd14a3a6e", + "problem_id": "v2p_m6_dcb9bb0fd8985aee", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=SpecialDay, measure_col=OperatingSystems.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "OperatingSystems", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=24" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_488f5931e0e18d1d", + "problem_id": "v2p_m6_09220846aa9364d3", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=SpecialDay, measure_col=OperatingSystems.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "OperatingSystems", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=24" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_d69e596d4f63103c", + "problem_id": "v2p_m6_158a77779b77a3a6", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Month, measure_col=Browser.", + "bindings": { + "group_col": "Month", + "measure_col": "Browser", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=25" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ebdb37383c3e4bc4", + "problem_id": "v2p_m6_70a47da24d5d33b5", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Month, measure_col=Browser.", + "bindings": { + "group_col": "Month", + "measure_col": "Browser", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=25" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_71cd477a24a6a8af", + "problem_id": "v2p_m6_e7d549b566850f0d", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=OperatingSystems, measure_col=Region.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "Region", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=26" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_594806513ad16cbe", + "problem_id": "v2p_m6_c3f2a0149da5592b", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=OperatingSystems, measure_col=Region.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "Region", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=26" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_e228b56749be52ef", + "problem_id": "v2p_m6_7388f9f8b4db57f5", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Browser, measure_col=TrafficType.", + "bindings": { + "group_col": "Browser", + "measure_col": "TrafficType", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=27" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_e4a73b6c2f1e6c81", + "problem_id": "v2p_m6_9235696859e1797c", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Browser, measure_col=TrafficType.", + "bindings": { + "group_col": "Browser", + "measure_col": "TrafficType", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=27" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_51f8de1006984e16", + "problem_id": "v2p_m6_51b4eeba88511138", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region, measure_col=Administrative.", + "bindings": { + "group_col": "Region", + "measure_col": "Administrative", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=28" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_db0b575e2653826e", + "problem_id": "v2p_m6_f73047f9e2bf4d0b", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region, measure_col=Administrative.", + "bindings": { + "group_col": "Region", + "measure_col": "Administrative", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=28" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_0843c280aed7c3b7", + "problem_id": "v2p_m6_b58b0df76581eb38", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=TrafficType, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative_Duration", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=29" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_54eeca54ae1aa0e3", + "problem_id": "v2p_m6_0879aad2772a0b78", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=TrafficType, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative_Duration", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 56.4, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=29" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ca8914c786b69bae", + "problem_id": "v2p_m6_96d6b0946fa5c74b", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=VisitorType, measure_col=Informational.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Informational", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=30" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b5898724d820e606", + "problem_id": "v2p_m6_5b6815071477950d", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=VisitorType, measure_col=Informational.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Informational", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=30" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_e2297daf4c6c9dd4", + "problem_id": "v2p_m6_91dfcd3dd5c40f18", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Weekend, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Weekend", + "measure_col": "Informational_Duration", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=31" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b5cb753f5bc620f2", + "problem_id": "v2p_m6_df19480f650109e9", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Weekend, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Weekend", + "measure_col": "Informational_Duration", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=31" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ec899e93252dde66", + "problem_id": "v2p_m6_c530a2b61fc44046", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Revenue, measure_col=ProductRelated.", + "bindings": { + "group_col": "Revenue", + "measure_col": "ProductRelated", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=32" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5db8e4b81b66b49a", + "problem_id": "v2p_m6_57d6bbb6ed8b6219", + "dataset_id": "m6", + "template_id": "tpl_m4_group_avg_numeric", + "template_name": "Grouped Numeric Mean", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Mean to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Revenue, measure_col=ProductRelated.", + "bindings": { + "group_col": "Revenue", + "measure_col": "ProductRelated", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, AVG({measure_col}) AS avg_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=32" + ], + "template_selection_mode": "cli", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4db44f54900154fc", + "problem_id": "v2p_m6_329a253cf69668b9", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=Month, measure_col=PageValues.", + "bindings": { + "group_col": "Month", + "measure_col": "PageValues", + "predicate_col": "Administrative", + "predicate_op": ">=", + "predicate_value": 4.0, + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=36" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_887d5982158adf90", + "problem_id": "v2p_m6_a5964cb42f5cacb7", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Month, measure_col=PageValues.", + "bindings": { + "group_col": "Month", + "measure_col": "PageValues", + "predicate_col": "ProductRelated", + "predicate_op": ">=", + "predicate_value": 38.0, + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=36" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_cd3e14207e162df9", + "problem_id": "v2p_m6_dbcdde3e5d2aed19", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=OperatingSystems, measure_col=SpecialDay.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "SpecialDay", + "predicate_col": "Administrative_Duration", + "predicate_op": ">=", + "predicate_value": 93.25625, + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=37" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_f266d58cc2bb46b0", + "problem_id": "v2p_m6_a98b683b5700e596", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=OperatingSystems, measure_col=SpecialDay.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "SpecialDay", + "predicate_col": "ProductRelated_Duration", + "predicate_op": ">=", + "predicate_value": 1464.157214, + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=37" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_99341bf990fbd5f5", + "problem_id": "v2p_m6_eeedc1304985ca78", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=Browser, measure_col=OperatingSystems.", + "bindings": { + "group_col": "Browser", + "measure_col": "OperatingSystems", + "predicate_col": "Informational", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=38" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_763a1d82971ee235", + "problem_id": "v2p_m6_ff9366e92f5e79cb", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Browser, measure_col=OperatingSystems.", + "bindings": { + "group_col": "Browser", + "measure_col": "OperatingSystems", + "predicate_col": "BounceRates", + "predicate_op": ">=", + "predicate_value": 0.016813, + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=38" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_0a973a1797eab450", + "problem_id": "v2p_m6_2905a2def9e7f48f", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Region, measure_col=Browser.", + "bindings": { + "group_col": "Region", + "measure_col": "Browser", + "predicate_col": "Informational_Duration", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=39" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_1063ddad1bd6cc72", + "problem_id": "v2p_m6_4e498c273d781228", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=Region, measure_col=Browser.", + "bindings": { + "group_col": "Region", + "measure_col": "Browser", + "predicate_col": "ExitRates", + "predicate_op": ">=", + "predicate_value": 0.05, + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=39" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_0305b33e766fc38a", + "problem_id": "v2p_m6_de9d79014045f724", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=TrafficType, measure_col=Region.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Region", + "predicate_col": "ProductRelated", + "predicate_op": ">=", + "predicate_value": 38.0, + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=40" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_1e276e7404dd493d", + "problem_id": "v2p_m6_64a1dac53ad0cdcd", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=TrafficType, measure_col=Region.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Region", + "predicate_col": "PageValues", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=40" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_bce00fdd84256d1e", + "problem_id": "v2p_m6_2f2d433f5c81adb5", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=VisitorType, measure_col=TrafficType.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "TrafficType", + "predicate_col": "ProductRelated_Duration", + "predicate_op": ">=", + "predicate_value": 1464.157214, + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=41" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_82ea2041ff6c2af9", + "problem_id": "v2p_m6_60c42108035a7c4e", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=VisitorType, measure_col=TrafficType.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "TrafficType", + "predicate_col": "SpecialDay", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=41" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_9a0b3e95b1d9e203", + "problem_id": "v2p_m6_b65a7619fab4d7a0", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=Weekend, measure_col=Administrative.", + "bindings": { + "group_col": "Weekend", + "measure_col": "Administrative", + "predicate_col": "BounceRates", + "predicate_op": ">=", + "predicate_value": 0.016813, + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=42" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_d7f3c25edad4a6c8", + "problem_id": "v2p_m6_44a24989eb70e474", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Weekend, measure_col=Administrative.", + "bindings": { + "group_col": "Weekend", + "measure_col": "Administrative", + "predicate_col": "Month", + "predicate_op": "=", + "predicate_value": "Aug", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=42" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_18a8db0aa89ea9ad", + "problem_id": "v2p_m6_b0c0e7e59b2882a7", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Revenue, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "Revenue", + "measure_col": "Administrative_Duration", + "predicate_col": "ExitRates", + "predicate_op": ">=", + "predicate_value": 0.05, + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=43" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_9829a856525c11a8", + "problem_id": "v2p_m6_48a2734e483481a8", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=Revenue, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "Revenue", + "measure_col": "Administrative_Duration", + "predicate_col": "OperatingSystems", + "predicate_op": ">=", + "predicate_value": 3.0, + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 56.4, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=43" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4d62bc2db6d46746", + "problem_id": "v2p_m6_dab16781bbcd2e95", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=Administrative, measure_col=Informational.", + "bindings": { + "group_col": "Administrative", + "measure_col": "Informational", + "predicate_col": "PageValues", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=44" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_7832a62d58a74fb1", + "problem_id": "v2p_m6_41791e253300c308", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Administrative, measure_col=Informational.", + "bindings": { + "group_col": "Administrative", + "measure_col": "Informational", + "predicate_col": "Browser", + "predicate_op": ">=", + "predicate_value": 2.0, + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=44" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_f656ee1397d71929", + "problem_id": "v2p_m6_b31e81a2c43ab543", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Informational, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Informational", + "measure_col": "Informational_Duration", + "predicate_col": "SpecialDay", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=45" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_045400b2a728bf96", + "problem_id": "v2p_m6_db35f8609f9f3320", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=Informational, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Informational", + "measure_col": "Informational_Duration", + "predicate_col": "Region", + "predicate_op": ">=", + "predicate_value": 4.0, + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=45" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b02c7ee03a2f0ae8", + "problem_id": "v2p_m6_11c5ad9c68931bc6", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=SpecialDay, measure_col=ProductRelated.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "ProductRelated", + "predicate_col": "Month", + "predicate_op": "=", + "predicate_value": "Aug", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=11", + "sql_variant_index=1/2", + "binding_index=46" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_a1c4b71b70747d6a", + "problem_id": "v2p_m6_01c93bd4ba41d7c8", + "dataset_id": "m6", + "template_id": "tpl_tpcds_topk_group_sum", + "template_name": "Top-k Group Sum with Filter", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Top-k Group Sum with Filter to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=SpecialDay, measure_col=ProductRelated.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "ProductRelated", + "predicate_col": "TrafficType", + "predicate_op": ">=", + "predicate_value": 4.0, + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=11", + "sql_variant_index=2/2", + "binding_index=46" + ], + "template_selection_mode": "cli", + "selected_template_rank": 4, + "problem_index_within_template": 11, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_96f9c23dee5af0f4", + "problem_id": "v2p_m6_71b9ddfe1e46a639", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region, group_col_2=Revenue, measure_col=BounceRates.", + "bindings": { + "group_col": "Region", + "group_col_2": "Revenue", + "measure_col": "BounceRates", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=48" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_1727d4179f75968f", + "problem_id": "v2p_m6_cc428c661bb94482", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Region, group_col_2=Revenue, measure_col=BounceRates.", + "bindings": { + "group_col": "Region", + "group_col_2": "Revenue", + "measure_col": "BounceRates", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=48" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_37240321134b5acd", + "problem_id": "v2p_m6_8632f074ac2e5060", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=TrafficType, group_col_2=VisitorType, measure_col=ExitRates.", + "bindings": { + "group_col": "TrafficType", + "group_col_2": "VisitorType", + "measure_col": "ExitRates", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=49" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_0803610147281bc6", + "problem_id": "v2p_m6_6a59be0209f816ef", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=TrafficType, group_col_2=Weekend, measure_col=PageValues.", + "bindings": { + "group_col": "TrafficType", + "group_col_2": "Weekend", + "measure_col": "PageValues", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=50" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4b959801fee546ad", + "problem_id": "v2p_m6_4e68a3168b033602", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=TrafficType, group_col_2=Weekend, measure_col=PageValues.", + "bindings": { + "group_col": "TrafficType", + "group_col_2": "Weekend", + "measure_col": "PageValues", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=50" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_2c805e47143940e6", + "problem_id": "v2p_m6_e69274913f336062", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=TrafficType, group_col_2=Revenue, measure_col=SpecialDay.", + "bindings": { + "group_col": "TrafficType", + "group_col_2": "Revenue", + "measure_col": "SpecialDay", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=51" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_3858ddbe4ca2f72d", + "problem_id": "v2p_m6_a2cdd3b7cf3cd66e", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=VisitorType, group_col_2=Weekend, measure_col=OperatingSystems.", + "bindings": { + "group_col": "VisitorType", + "group_col_2": "Weekend", + "measure_col": "OperatingSystems", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=52" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ac1577386dfa2749", + "problem_id": "v2p_m6_690ce1618192eb3a", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=VisitorType, group_col_2=Weekend, measure_col=OperatingSystems.", + "bindings": { + "group_col": "VisitorType", + "group_col_2": "Weekend", + "measure_col": "OperatingSystems", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=52" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_6fe04b31b24a9a5f", + "problem_id": "v2p_m6_11556ad0300abba8", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=VisitorType, group_col_2=Revenue, measure_col=Browser.", + "bindings": { + "group_col": "VisitorType", + "group_col_2": "Revenue", + "measure_col": "Browser", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=53" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_30961430cfa67e37", + "problem_id": "v2p_m6_35693da94fc3c8dd", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Weekend, group_col_2=Revenue, measure_col=Region.", + "bindings": { + "group_col": "Weekend", + "group_col_2": "Revenue", + "measure_col": "Region", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=54" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ab9163a194bf44e0", + "problem_id": "v2p_m6_9ca99d229d77c8c4", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Weekend, group_col_2=Revenue, measure_col=Region.", + "bindings": { + "group_col": "Weekend", + "group_col_2": "Revenue", + "measure_col": "Region", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=54" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_0843f13e0aa628ed", + "problem_id": "v2p_m6_e07db97fc6fbc203", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Administrative, group_col_2=Informational, measure_col=TrafficType.", + "bindings": { + "group_col": "Administrative", + "group_col_2": "Informational", + "measure_col": "TrafficType", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=55" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_53c56c08fa704bb7", + "problem_id": "v2p_m6_dc5dd60bd09017c0", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Administrative, group_col_2=SpecialDay, measure_col=Administrative.", + "bindings": { + "group_col": "Administrative", + "group_col_2": "SpecialDay", + "measure_col": "Administrative", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=56" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_0fecf06c9f1e667b", + "problem_id": "v2p_m6_db032db37e6d6b8d", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Administrative, group_col_2=SpecialDay, measure_col=Administrative.", + "bindings": { + "group_col": "Administrative", + "group_col_2": "SpecialDay", + "measure_col": "Administrative", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=56" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5f4c5663ea038e35", + "problem_id": "v2p_m6_ea9d9ec950db8f14", + "dataset_id": "m6", + "template_id": "tpl_h2o_two_dimensional_robust_summary", + "template_name": "Two-Dimensional Robust Summary", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Two-Dimensional Robust Summary to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=Administrative, group_col_2=Month, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "Administrative", + "group_col_2": "Month", + "measure_col": "Administrative_Duration", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {measure_col}) AS median_measure,\n STDDEV({measure_col}) AS measure_stddev\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY median_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/1", + "binding_index=57" + ], + "template_selection_mode": "cli", + "selected_template_rank": 5, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_8c4ba584b152a24a", + "problem_id": "v2p_m6_59a461d4d8b18112", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Browser, condition_col=SpecialDay.", + "bindings": { + "group_col": "Browser", + "condition_col": "SpecialDay", + "condition_value": "0", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=60" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_393e42a5a41a4430", + "problem_id": "v2p_m6_e1d6a7dfe26cdbce", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Browser, condition_col=SpecialDay.", + "bindings": { + "group_col": "Browser", + "condition_col": "SpecialDay", + "condition_value": "0.6", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=60" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_65187ccbb330def3", + "problem_id": "v2p_m6_56638b832ed23de3", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Region, condition_col=OperatingSystems.", + "bindings": { + "group_col": "Region", + "condition_col": "OperatingSystems", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=61" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4ff46e148cd4ad6f", + "problem_id": "v2p_m6_7623eb0ea4e5d532", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Region, condition_col=OperatingSystems.", + "bindings": { + "group_col": "Region", + "condition_col": "OperatingSystems", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=61" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_6a1ce1a4198c2f33", + "problem_id": "v2p_m6_87704ac60da91c78", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=TrafficType, condition_col=VisitorType.", + "bindings": { + "group_col": "TrafficType", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=62" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b55f8f407248322e", + "problem_id": "v2p_m6_761e5c94caf74cb6", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=TrafficType, condition_col=VisitorType.", + "bindings": { + "group_col": "TrafficType", + "condition_col": "VisitorType", + "condition_value": "New_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=62" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_c551dae0cf3635aa", + "problem_id": "v2p_m6_e80d9749cc87f69a", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=VisitorType, condition_col=Weekend.", + "bindings": { + "group_col": "VisitorType", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=63" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_c3be9d0723656627", + "problem_id": "v2p_m6_22082f0dfac8e3a7", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=VisitorType, condition_col=Weekend.", + "bindings": { + "group_col": "VisitorType", + "condition_col": "Weekend", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=63" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_639a7949b8ef9772", + "problem_id": "v2p_m6_3aef1d241c591143", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Weekend, condition_col=Revenue.", + "bindings": { + "group_col": "Weekend", + "condition_col": "Revenue", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=64" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_8ecad60e1adf06cd", + "problem_id": "v2p_m6_5cb51610225e4f87", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Weekend, condition_col=Revenue.", + "bindings": { + "group_col": "Weekend", + "condition_col": "Revenue", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=64" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_cab58bafc06df73e", + "problem_id": "v2p_m6_b160e18989a771c4", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Revenue, condition_col=SpecialDay.", + "bindings": { + "group_col": "Revenue", + "condition_col": "SpecialDay", + "condition_value": "0", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=65" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_62ed2296e5df13c5", + "problem_id": "v2p_m6_090d1d2d801d624b", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Revenue, condition_col=SpecialDay.", + "bindings": { + "group_col": "Revenue", + "condition_col": "SpecialDay", + "condition_value": "0.6", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=65" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ad380fa5ff4087f6", + "problem_id": "v2p_m6_673d3c77f0612a9f", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Administrative, condition_col=OperatingSystems.", + "bindings": { + "group_col": "Administrative", + "condition_col": "OperatingSystems", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=66" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4dee555af2e7d075", + "problem_id": "v2p_m6_34fa5df7d0239dcc", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Administrative, condition_col=OperatingSystems.", + "bindings": { + "group_col": "Administrative", + "condition_col": "OperatingSystems", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=66" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_bfa81eac360310de", + "problem_id": "v2p_m6_6a844d398e6d2ae8", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Informational, condition_col=VisitorType.", + "bindings": { + "group_col": "Informational", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=67" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_7dd761464cfbe7a8", + "problem_id": "v2p_m6_dfd23a0590a0971e", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Informational, condition_col=VisitorType.", + "bindings": { + "group_col": "Informational", + "condition_col": "VisitorType", + "condition_value": "New_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=67" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_d53fb7c9f4377491", + "problem_id": "v2p_m6_01bd4474581f9691", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=SpecialDay, condition_col=Weekend.", + "bindings": { + "group_col": "SpecialDay", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=68" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_c847301479f5eec7", + "problem_id": "v2p_m6_eb5713872a549c42", + "dataset_id": "m6", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=SpecialDay, condition_col=Weekend.", + "bindings": { + "group_col": "SpecialDay", + "condition_col": "Weekend", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=68" + ], + "template_selection_mode": "cli", + "selected_template_rank": 6, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_1e5ab1057cbf0768", + "problem_id": "v2p_m6_30e88a5c8901488d", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Informational, group_col_2=Weekend, target_col=VisitorType.", + "bindings": { + "group_col": "Informational", + "group_col_2": "Weekend", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=72" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_f6b9cefbf353d2d9", + "problem_id": "v2p_m6_fcf5973f1b269fbf", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=Informational, group_col_2=Weekend, target_col=VisitorType.", + "bindings": { + "group_col": "Informational", + "group_col_2": "Weekend", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=72" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_3e73578ba04f4ff1", + "problem_id": "v2p_m6_cdcaa2259117d421", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Informational, group_col_2=Revenue, target_col=VisitorType.", + "bindings": { + "group_col": "Informational", + "group_col_2": "Revenue", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=73" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_deb5442f9ec304db", + "problem_id": "v2p_m6_c5b24466071104e5", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Informational, group_col_2=Revenue, target_col=VisitorType.", + "bindings": { + "group_col": "Informational", + "group_col_2": "Revenue", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=73" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_59464de496a62ed0", + "problem_id": "v2p_m6_9cb4167f2e5d3eda", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=SpecialDay, group_col_2=Month, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Month", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=74" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_d6368566264e77a9", + "problem_id": "v2p_m6_677645db9fee562b", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=SpecialDay, group_col_2=Month, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Month", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=74" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4fed933d7edf240d", + "problem_id": "v2p_m6_cb75f069b40dcdd1", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=SpecialDay, group_col_2=OperatingSystems, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "OperatingSystems", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=75" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5a54663550f0e71f", + "problem_id": "v2p_m6_25c94d70d0d7929e", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=SpecialDay, group_col_2=OperatingSystems, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "OperatingSystems", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=75" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_3a77b24d5bb40809", + "problem_id": "v2p_m6_6e7052ec7857232a", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=SpecialDay, group_col_2=Browser, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Browser", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=76" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_93b079229c5b3cff", + "problem_id": "v2p_m6_82fe97fa40869024", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=SpecialDay, group_col_2=Browser, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Browser", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=76" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_52f038d7d58d0b65", + "problem_id": "v2p_m6_a4b9dea07ec4896e", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=SpecialDay, group_col_2=Region, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Region", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=77" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5b1f0f2b6310e203", + "problem_id": "v2p_m6_7f7aac27bb2092ba", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=SpecialDay, group_col_2=Region, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Region", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=77" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_97f3b9eb4884839b", + "problem_id": "v2p_m6_566e322b71d1c647", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=SpecialDay, group_col_2=TrafficType, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "TrafficType", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=78" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_da561253943da8bf", + "problem_id": "v2p_m6_ba66dedda22bfccf", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=SpecialDay, group_col_2=TrafficType, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "TrafficType", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=78" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_c860bd03fd295ce7", + "problem_id": "v2p_m6_da004c8be33f2b5c", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=SpecialDay, group_col_2=VisitorType, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "VisitorType", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=79" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4675e7b111504cf5", + "problem_id": "v2p_m6_7e0d520b6732951b", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=SpecialDay, group_col_2=VisitorType, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "VisitorType", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=79" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_222c46cc601b1097", + "problem_id": "v2p_m6_2b30a3c700fbabdf", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=SpecialDay, group_col_2=Weekend, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Weekend", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=80" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_fa727137a04eb879", + "problem_id": "v2p_m6_a8bf76e445630b8f", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe dependency_strength_similarity with semantic role ranked_signal_view. Focus on group_col=SpecialDay, group_col_2=Weekend, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Weekend", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_93c3d8c420a90f0f", + "problem_id": "v2p_m6_ca4951b30df0819f", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=SpecialDay, group_col_2=Revenue, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Revenue", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=81" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_cc620e69cdd44419", + "problem_id": "v2p_m6_b4531563523acc6e", + "dataset_id": "m6", + "template_id": "tpl_c2_two_dim_target_rate", + "template_name": "Two-Axis Target Rate Surface", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Two-Axis Target Rate Surface to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=SpecialDay, group_col_2=Revenue, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Revenue", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2},\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS target_rate\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY target_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=81" + ], + "template_selection_mode": "cli", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_560b176dc981351c", + "problem_id": "v2p_m6_9f38161b120d744d", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=TrafficType, measure_col=Administrative.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative", + "item_col": "ProductRelated_Duration", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=84" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_149c6a1400ab15e5", + "problem_id": "v2p_m6_2349d6ad16a3d776", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=TrafficType, measure_col=Administrative.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative", + "item_col": "ProductRelated_Duration", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=84" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_8060dc8e9c73e4ab", + "problem_id": "v2p_m6_86690a8a85635588", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=VisitorType, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Administrative_Duration", + "item_col": "BounceRates", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=85" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5af32932037e40e0", + "problem_id": "v2p_m6_e0199a09d6faaaf7", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=VisitorType, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Administrative_Duration", + "item_col": "BounceRates", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 56.4, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=85" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_08a269ab41b823b6", + "problem_id": "v2p_m6_1a1b771ce403577b", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Weekend, measure_col=Informational.", + "bindings": { + "group_col": "Weekend", + "measure_col": "Informational", + "item_col": "ExitRates", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=86" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b57fa8c90ee8606d", + "problem_id": "v2p_m6_05b3716566185b10", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Weekend, measure_col=Informational.", + "bindings": { + "group_col": "Weekend", + "measure_col": "Informational", + "item_col": "ExitRates", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=86" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_326f79906192af37", + "problem_id": "v2p_m6_5071af9deba48b2f", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Revenue, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Revenue", + "measure_col": "Informational_Duration", + "item_col": "PageValues", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=87" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_889766262e92555b", + "problem_id": "v2p_m6_ba3733c72e9c8171", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Revenue, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Revenue", + "measure_col": "Informational_Duration", + "item_col": "PageValues", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=87" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_cc438c44b1f24931", + "problem_id": "v2p_m6_b2d56fbb77cd31a6", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Administrative, measure_col=ProductRelated.", + "bindings": { + "group_col": "Administrative", + "measure_col": "ProductRelated", + "item_col": "TrafficType", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=88" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_480f8e7159965245", + "problem_id": "v2p_m6_f5b424408bc7fb93", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Administrative, measure_col=ProductRelated.", + "bindings": { + "group_col": "Administrative", + "measure_col": "ProductRelated", + "item_col": "TrafficType", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=88" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_9aeecc055be01fbb", + "problem_id": "v2p_m6_a4a0addb7fcfef0b", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Informational, measure_col=ProductRelated_Duration.", + "bindings": { + "group_col": "Informational", + "measure_col": "ProductRelated_Duration", + "item_col": "Administrative", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=89" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_dabd316ea31566ea", + "problem_id": "v2p_m6_6692ff1dd6d5d920", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Informational, measure_col=ProductRelated_Duration.", + "bindings": { + "group_col": "Informational", + "measure_col": "ProductRelated_Duration", + "item_col": "Administrative", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1059.697712, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=89" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_d3dfd72c8d1afb40", + "problem_id": "v2p_m6_875947f4150833b3", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=SpecialDay, measure_col=BounceRates.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "BounceRates", + "item_col": "Administrative_Duration", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=90" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_45a0714064ffa5fb", + "problem_id": "v2p_m6_5ffe35bc5cb14dc3", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=SpecialDay, measure_col=BounceRates.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "BounceRates", + "item_col": "Administrative_Duration", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=90" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ff0071ff8ad98603", + "problem_id": "v2p_m6_81ea233ab2ae6c2b", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Month, measure_col=ExitRates.", + "bindings": { + "group_col": "Month", + "measure_col": "ExitRates", + "item_col": "Informational_Duration", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=91" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_959ce3ed3e3d3cb9", + "problem_id": "v2p_m6_d30a9e6f1c45b95a", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Month, measure_col=ExitRates.", + "bindings": { + "group_col": "Month", + "measure_col": "ExitRates", + "item_col": "Informational_Duration", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=91" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b5f70f0d9d5dddcf", + "problem_id": "v2p_m6_41b2e20152f2640f", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=OperatingSystems, measure_col=PageValues.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "PageValues", + "item_col": "ProductRelated", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_919b3bc26a0e7f1e", + "problem_id": "v2p_m6_e015ac348a0f56bd", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=OperatingSystems, measure_col=PageValues.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "PageValues", + "item_col": "ProductRelated", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=92" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_2600600bfd9e5cad", + "problem_id": "v2p_m6_59171a0785e0da4f", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Browser, measure_col=SpecialDay.", + "bindings": { + "group_col": "Browser", + "measure_col": "SpecialDay", + "item_col": "ProductRelated_Duration", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=93" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_beb16af28e6b7cab", + "problem_id": "v2p_m6_46bd59baf2796acc", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Browser, measure_col=SpecialDay.", + "bindings": { + "group_col": "Browser", + "measure_col": "SpecialDay", + "item_col": "ProductRelated_Duration", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=93" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_f05818a705ee0f21", + "problem_id": "v2p_m6_47810f3620ca5134", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Region, measure_col=OperatingSystems.", + "bindings": { + "group_col": "Region", + "measure_col": "OperatingSystems", + "item_col": "BounceRates", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=11", + "sql_variant_index=1/2", + "binding_index=94" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_f87e9d02717a0c54", + "problem_id": "v2p_m6_6c6af852e414db0a", + "dataset_id": "m6", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Region, measure_col=OperatingSystems.", + "bindings": { + "group_col": "Region", + "measure_col": "OperatingSystems", + "item_col": "BounceRates", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=cli", + "problem_index_within_template=11", + "sql_variant_index=2/2", + "binding_index=94" + ], + "template_selection_mode": "cli", + "selected_template_rank": 8, + "problem_index_within_template": 11, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_64e93369dae0efb0", + "problem_id": "v2p_m6_3a6dbc648526ebaf", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=VisitorType, measure_col=Region, condition_col=OperatingSystems.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Region", + "condition_col": "OperatingSystems", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=96" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_79c6bbe4f8fa53f4", + "problem_id": "v2p_m6_aae840f725483529", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=VisitorType, measure_col=Region, condition_col=OperatingSystems.", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Region", + "condition_col": "OperatingSystems", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=96" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4bc678f546bf9c78", + "problem_id": "v2p_m6_0b58dd40ae56f831", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Weekend, measure_col=TrafficType, condition_col=VisitorType.", + "bindings": { + "group_col": "Weekend", + "measure_col": "TrafficType", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=97" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_6b12eabf67a3b84f", + "problem_id": "v2p_m6_a76e6686324c2e62", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=Revenue, measure_col=Administrative, condition_col=Weekend.", + "bindings": { + "group_col": "Revenue", + "measure_col": "Administrative", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=98" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_14d61d20fa015a7e", + "problem_id": "v2p_m6_2b34b62b7f3ad39c", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Revenue, measure_col=Administrative, condition_col=Weekend.", + "bindings": { + "group_col": "Revenue", + "measure_col": "Administrative", + "condition_col": "Weekend", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=98" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_d1172893b416db7b", + "problem_id": "v2p_m6_c79c42f216ff1bb7", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Administrative, measure_col=Administrative_Duration, condition_col=Revenue.", + "bindings": { + "group_col": "Administrative", + "measure_col": "Administrative_Duration", + "condition_col": "Revenue", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=99" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_c48c6e08b2aa1754", + "problem_id": "v2p_m6_54b702d631ea497c", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=Informational, measure_col=Informational, condition_col=SpecialDay.", + "bindings": { + "group_col": "Informational", + "measure_col": "Informational", + "condition_col": "SpecialDay", + "condition_value": "0", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=100" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_bf871b6ed8a5bc39", + "problem_id": "v2p_m6_353f7487c6887445", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Informational, measure_col=Informational, condition_col=SpecialDay.", + "bindings": { + "group_col": "Informational", + "measure_col": "Informational", + "condition_col": "SpecialDay", + "condition_value": "0.6", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=100" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_eb98865e093e2e41", + "problem_id": "v2p_m6_e4a6b1ca299a394f", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=SpecialDay, measure_col=Informational_Duration, condition_col=OperatingSystems.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "Informational_Duration", + "condition_col": "OperatingSystems", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=101" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_49a5e3d25b1b4fc2", + "problem_id": "v2p_m6_11cb4bedb84ea928", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=Month, measure_col=ProductRelated, condition_col=VisitorType.", + "bindings": { + "group_col": "Month", + "measure_col": "ProductRelated", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=102" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5cf1eae64033577b", + "problem_id": "v2p_m6_a9212cec4a5dd3de", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Month, measure_col=ProductRelated, condition_col=VisitorType.", + "bindings": { + "group_col": "Month", + "measure_col": "ProductRelated", + "condition_col": "VisitorType", + "condition_value": "New_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=102" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_98fdc261ccc77dda", + "problem_id": "v2p_m6_c62d3e42967ac0b9", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=OperatingSystems, measure_col=ProductRelated_Duration, condition_col=Weekend.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "ProductRelated_Duration", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=103" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_fbecc80f8092203b", + "problem_id": "v2p_m6_5c402562dd2a7dc6", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role focused_target_view. Focus on group_col=Browser, measure_col=BounceRates, condition_col=Revenue.", + "bindings": { + "group_col": "Browser", + "measure_col": "BounceRates", + "condition_col": "Revenue", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=104" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_6250b3a069449aa4", + "problem_id": "v2p_m6_7f88fab29f119a26", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Browser, measure_col=BounceRates, condition_col=Revenue.", + "bindings": { + "group_col": "Browser", + "measure_col": "BounceRates", + "condition_col": "Revenue", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=104" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_2e3c4cc0d0e3f1ba", + "problem_id": "v2p_m6_7a5419d8b7f6deca", + "dataset_id": "m6", + "template_id": "tpl_conditional_group_quantiles", + "template_name": "Conditional Group Quantiles", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Conditional Group Quantiles to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Region, measure_col=ExitRates, condition_col=SpecialDay.", + "bindings": { + "group_col": "Region", + "measure_col": "ExitRates", + "condition_col": "SpecialDay", + "condition_value": "0", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col})\n FILTER (WHERE {condition_col} = {condition_value}) AS conditional_percentile\nFROM {table}\nGROUP BY {group_col}\nORDER BY conditional_percentile DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/1", + "binding_index=105" + ], + "template_selection_mode": "cli", + "selected_template_rank": 9, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_3166e771e222ec83", + "problem_id": "v2p_m6_18bf1b553c823e9b", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Weekend, measure_col=OperatingSystems.", + "bindings": { + "group_col": "Weekend", + "measure_col": "OperatingSystems", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=108" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_742e679701504cca", + "problem_id": "v2p_m6_2fbb03692045cdb2", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Weekend, measure_col=OperatingSystems.", + "bindings": { + "group_col": "Weekend", + "measure_col": "OperatingSystems", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=108" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_bbbc0bf1bc79c1ca", + "problem_id": "v2p_m6_b9924e885215b038", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Revenue, measure_col=Browser.", + "bindings": { + "group_col": "Revenue", + "measure_col": "Browser", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=109" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_8351c0bb8a32dbe7", + "problem_id": "v2p_m6_6a98a4701fcef3e0", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Revenue, measure_col=Browser.", + "bindings": { + "group_col": "Revenue", + "measure_col": "Browser", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=109" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_07efa40d6968989a", + "problem_id": "v2p_m6_24190cc777ce3ddf", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Administrative, measure_col=Region.", + "bindings": { + "group_col": "Administrative", + "measure_col": "Region", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=110" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_2a7e4cd93e4efb9a", + "problem_id": "v2p_m6_606284727f960b11", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Administrative, measure_col=Region.", + "bindings": { + "group_col": "Administrative", + "measure_col": "Region", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=110" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_8d4d69a765c8fbf0", + "problem_id": "v2p_m6_8e27b813ad7f10d2", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Informational, measure_col=TrafficType.", + "bindings": { + "group_col": "Informational", + "measure_col": "TrafficType", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=111" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b98e0dbfa5759031", + "problem_id": "v2p_m6_dfc8fc581ea59219", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Informational, measure_col=TrafficType.", + "bindings": { + "group_col": "Informational", + "measure_col": "TrafficType", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=111" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ad2cebbe86760812", + "problem_id": "v2p_m6_aee7596a4499ebcf", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=SpecialDay, measure_col=Administrative.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "Administrative", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=112" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_e3799fd354f6ba91", + "problem_id": "v2p_m6_e50066bb03d2eb4c", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=SpecialDay, measure_col=Administrative.", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "Administrative", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=112" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_3e739fa890ba0ccb", + "problem_id": "v2p_m6_a2396649df7859d9", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Month, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "Month", + "measure_col": "Administrative_Duration", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=113" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_38a51ec5e727aa52", + "problem_id": "v2p_m6_89d96f6348a97e28", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Month, measure_col=Administrative_Duration.", + "bindings": { + "group_col": "Month", + "measure_col": "Administrative_Duration", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 56.4, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=113" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_cb9c3d0f5a87625b", + "problem_id": "v2p_m6_47422736c2db0c97", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=OperatingSystems, measure_col=Informational.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "Informational", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=114" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_fe1803d76a671e9e", + "problem_id": "v2p_m6_c4ad3e319454e96c", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=OperatingSystems, measure_col=Informational.", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "Informational", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=114" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4507c548f5351fd3", + "problem_id": "v2p_m6_b79f82de078a58b8", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Browser, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Browser", + "measure_col": "Informational_Duration", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=115" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4ad1b18ffc3dc882", + "problem_id": "v2p_m6_bcfec7d40ddbe1c3", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Browser, measure_col=Informational_Duration.", + "bindings": { + "group_col": "Browser", + "measure_col": "Informational_Duration", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=115" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_45e9498c5806517d", + "problem_id": "v2p_m6_5067f566dc93c556", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Region, measure_col=ProductRelated.", + "bindings": { + "group_col": "Region", + "measure_col": "ProductRelated", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=116" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5f2549bc929c295c", + "problem_id": "v2p_m6_7e8d69d54a9cd354", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Region, measure_col=ProductRelated.", + "bindings": { + "group_col": "Region", + "measure_col": "ProductRelated", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=116" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_953de3cfed2ac8cb", + "problem_id": "v2p_m6_d0fcfa8dd6c81826", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=TrafficType, measure_col=ProductRelated_Duration.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "ProductRelated_Duration", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=117" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_fcb7c18574677898", + "problem_id": "v2p_m6_c38545f1afc24e8a", + "dataset_id": "m6", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=TrafficType, measure_col=ProductRelated_Duration.", + "bindings": { + "group_col": "TrafficType", + "measure_col": "ProductRelated_Duration", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1059.697712, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=117" + ], + "template_selection_mode": "cli", + "selected_template_rank": 10, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_ac4574d2f1bc5f89", + "problem_id": "v2p_m6_1b3ec8b1601337fb", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Revenue, target_col=VisitorType.", + "bindings": { + "group_col": "Revenue", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_f6327e34307eaaae", + "problem_id": "v2p_m6_5c15ce25708d36cd", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Revenue, target_col=VisitorType.", + "bindings": { + "group_col": "Revenue", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=120" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_24d5d68cdeec5154", + "problem_id": "v2p_m6_d8cc0b1e0c4de1f2", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Administrative, target_col=VisitorType.", + "bindings": { + "group_col": "Administrative", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=121" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5925714cbb825fc3", + "problem_id": "v2p_m6_10a263661d56a061", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Administrative, target_col=VisitorType.", + "bindings": { + "group_col": "Administrative", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=121" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_a1986e03cd7b14e8", + "problem_id": "v2p_m6_7ac425fb6f4e0b9c", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Informational, target_col=VisitorType.", + "bindings": { + "group_col": "Informational", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=122" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b730d69b05dfde9f", + "problem_id": "v2p_m6_8e34263815f1c617", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Informational, target_col=VisitorType.", + "bindings": { + "group_col": "Informational", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=122" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_7a5da5128f515649", + "problem_id": "v2p_m6_7c08dff621d23925", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=SpecialDay, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=123" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_e50235e9eb994e09", + "problem_id": "v2p_m6_545b7a3307090509", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=SpecialDay, target_col=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_e68c0087ab05185c", + "problem_id": "v2p_m6_16363122619ff6ec", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Month, target_col=VisitorType.", + "bindings": { + "group_col": "Month", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_bf3b6aa0118c14d9", + "problem_id": "v2p_m6_50e7cf0944d6ed82", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Month, target_col=VisitorType.", + "bindings": { + "group_col": "Month", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=124" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_c4ad03b4d635a5ff", + "problem_id": "v2p_m6_6aefe5708e559952", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=OperatingSystems, target_col=VisitorType.", + "bindings": { + "group_col": "OperatingSystems", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=125" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_2bf6084a20382c34", + "problem_id": "v2p_m6_8c86e2c3324331cc", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=OperatingSystems, target_col=VisitorType.", + "bindings": { + "group_col": "OperatingSystems", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=125" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_f3c339297761dd1a", + "problem_id": "v2p_m6_5db70890e2936ac1", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Browser, target_col=VisitorType.", + "bindings": { + "group_col": "Browser", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=126" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_d126fcd554f22c91", + "problem_id": "v2p_m6_111c981f2710309c", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Browser, target_col=VisitorType.", + "bindings": { + "group_col": "Browser", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=126" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_183c5c1f0f65fb25", + "problem_id": "v2p_m6_1095717cc9227e17", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Region, target_col=VisitorType.", + "bindings": { + "group_col": "Region", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=127" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_714ee3dcf8b8d756", + "problem_id": "v2p_m6_b9381c24f2f21037", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Region, target_col=VisitorType.", + "bindings": { + "group_col": "Region", + "target_col": "VisitorType", + "target_value": "New_Visitor", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=127" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5af058b22fd6e324", + "problem_id": "v2p_m6_47340cba5b348442", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=TrafficType, target_col=VisitorType.", + "bindings": { + "group_col": "TrafficType", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=128" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_95b7b835246f4a2f", + "problem_id": "v2p_m6_6e15bf484fd20df9", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=TrafficType, target_col=VisitorType.", + "bindings": { + "group_col": "TrafficType", + "target_col": "VisitorType", + "target_value": "Other", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=128" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_1285f5d53d42fd70", + "problem_id": "v2p_m6_56d355ada3b4ff2f", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=VisitorType, target_col=VisitorType.", + "bindings": { + "group_col": "VisitorType", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=129" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_c4932a020df55cc6", + "problem_id": "v2p_m6_df6ca11f62462d55", + "dataset_id": "m6", + "template_id": "tpl_tail_target_rate_extremes_v2", + "template_name": "Tail Target-Rate Extremes", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=VisitorType, target_col=VisitorType.", + "bindings": { + "group_col": "VisitorType", + "target_col": "VisitorType", + "target_value": "Returning_Visitor", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "target_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support,\n AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=cli", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=129" + ], + "template_selection_mode": "cli", + "selected_template_rank": 11, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_0ff593d0dd8ce383", + "problem_id": "v2p_m6_0369332a6f6a2f02", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=SpecialDay, group_col_2=Region.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Region", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_761bca496462b231", + "problem_id": "v2p_m6_6522275cfa7164bf", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=SpecialDay, group_col_2=Region.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Region", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=132" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_5fc5f95a6a90d300", + "problem_id": "v2p_m6_638c174a6f5dbb20", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=SpecialDay, group_col_2=TrafficType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "TrafficType", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=cli", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=133" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_dd2bbb161ecf2d79", + "problem_id": "v2p_m6_84ed67c4855224af", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=SpecialDay, group_col_2=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "VisitorType", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=134" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_76cc5f983435cb67", + "problem_id": "v2p_m6_c698a60ee8517da5", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=SpecialDay, group_col_2=VisitorType.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "VisitorType", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=134" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_c78e061f163cd78c", + "problem_id": "v2p_m6_8943b19f99e2412f", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=SpecialDay, group_col_2=Weekend.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Weekend", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=cli", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=135" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_8d8003197b4db653", + "problem_id": "v2p_m6_3897018247a3e7b7", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=SpecialDay, group_col_2=Revenue.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Revenue", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=136" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_4d79ce898010877b", + "problem_id": "v2p_m6_6272bac49e64a8df", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=SpecialDay, group_col_2=Revenue.", + "bindings": { + "group_col": "SpecialDay", + "group_col_2": "Revenue", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=136" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b59006990bed950c", + "problem_id": "v2p_m6_ef7191d283f4c2c8", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Month, group_col_2=OperatingSystems.", + "bindings": { + "group_col": "Month", + "group_col_2": "OperatingSystems", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=cli", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=137" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_9070e8c97a71a326", + "problem_id": "v2p_m6_b90a156a26f16e15", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Month, group_col_2=Browser.", + "bindings": { + "group_col": "Month", + "group_col_2": "Browser", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=138" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_b7ed5940f2b1d537", + "problem_id": "v2p_m6_1c0842457c8bdd13", + "dataset_id": "m6", + "template_id": "tpl_tail_pairwise_sparse_slice_v2", + "template_name": "Pairwise Sparse Slice Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "support", + "extended_family": false, + "question": "Use template Pairwise Sparse Slice Count to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=Month, group_col_2=Browser.", + "bindings": { + "group_col": "Month", + "group_col_2": "Browser", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n {group_col_2},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=cli", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=138" + ], + "template_selection_mode": "cli", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + { + "query_record_id": "v2q_m6_706ef6f080226cb0", + "problem_id": "v2p_m6_3972922b8cf23159", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Administrative.", + "bindings": { + "group_col": "Administrative" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_f8756f75d7cab5d8", + "problem_id": "v2p_m6_fe977419579edceb", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Informational.", + "bindings": { + "group_col": "Informational" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_4caf65683d76240b", + "problem_id": "v2p_m6_51a120766efcdd48", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=SpecialDay.", + "bindings": { + "group_col": "SpecialDay" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_178a3380b2a112b1", + "problem_id": "v2p_m6_b75fb84ddb04d707", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Month.", + "bindings": { + "group_col": "Month" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_26b9809d672410d9", + "problem_id": "v2p_m6_5f7deb0240e06e3d", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=OperatingSystems.", + "bindings": { + "group_col": "OperatingSystems" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_0317b333b6951106", + "problem_id": "v2p_m6_ac6c40c3b6be6cb6", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Browser.", + "bindings": { + "group_col": "Browser" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_e1b462790426716a", + "problem_id": "v2p_m6_3d008b507e5565e1", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Region.", + "bindings": { + "group_col": "Region" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_9e72f4aeb54952c9", + "problem_id": "v2p_m6_26d48ebe82ea561e", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=TrafficType.", + "bindings": { + "group_col": "TrafficType" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_98e11186cd02f76c", + "problem_id": "v2p_m6_5f63b8eef8d5a2fd", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=VisitorType.", + "bindings": { + "group_col": "VisitorType" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_c547ea935f651684", + "problem_id": "v2p_m6_482f2554d473f05c", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Weekend.", + "bindings": { + "group_col": "Weekend" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_de8bfd7c2fff85cf", + "problem_id": "v2p_m6_9fbc63273389395c", + "dataset_id": "m6", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Revenue.", + "bindings": { + "group_col": "Revenue" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_eed2af41297c3d25", + "problem_id": "v2p_m6_e584d234385bc456", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Administrative.", + "bindings": { + "group_col": "Administrative" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_98309a01a25338ef", + "problem_id": "v2p_m6_344cba76d309ed70", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Informational.", + "bindings": { + "group_col": "Informational" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_375084e33665fffb", + "problem_id": "v2p_m6_33601f9f46e5b513", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=SpecialDay.", + "bindings": { + "group_col": "SpecialDay" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_34c29a853c966785", + "problem_id": "v2p_m6_5c821a4c0d82604d", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Month.", + "bindings": { + "group_col": "Month" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_c6d46eaedb7e3107", + "problem_id": "v2p_m6_8ec41ad44a1e2031", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=OperatingSystems.", + "bindings": { + "group_col": "OperatingSystems" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_dd0eff8871612354", + "problem_id": "v2p_m6_c62f738cae200137", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Browser.", + "bindings": { + "group_col": "Browser" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_ff3e139a48c76481", + "problem_id": "v2p_m6_fc39e5e9e0d8ddf5", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Region.", + "bindings": { + "group_col": "Region" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_b1b4da085eda8031", + "problem_id": "v2p_m6_c22bf5e7d4a717c2", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=TrafficType.", + "bindings": { + "group_col": "TrafficType" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_4c2830dcf60b7312", + "problem_id": "v2p_m6_ae38e49528f53cbe", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=VisitorType.", + "bindings": { + "group_col": "VisitorType" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_769c5636d17bbbad", + "problem_id": "v2p_m6_18b019a81a776b7e", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Weekend.", + "bindings": { + "group_col": "Weekend" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_3327645704fe32f3", + "problem_id": "v2p_m6_5b51d5c0d78292d1", + "dataset_id": "m6", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Revenue.", + "bindings": { + "group_col": "Revenue" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_f757ee1ce697ba69", + "problem_id": "v2p_m6_3a9953afb19caeaa", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative_Duration, key_col=Administrative.", + "bindings": { + "key_col": "Administrative", + "measure_col": "Administrative_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_22b963b2f693ee0e", + "problem_id": "v2p_m6_494a1b30d6a30dcd", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational, key_col=Administrative.", + "bindings": { + "key_col": "Administrative", + "measure_col": "Informational", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_d1febc15bf8694bf", + "problem_id": "v2p_m6_0041d11e0e4847ef", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational_Duration, key_col=Administrative.", + "bindings": { + "key_col": "Administrative", + "measure_col": "Informational_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_201082669a2ff6ef", + "problem_id": "v2p_m6_30e717179762d3e1", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative, key_col=Administrative_Duration.", + "bindings": { + "key_col": "Administrative_Duration", + "measure_col": "Administrative", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_9db47cd60578fbb3", + "problem_id": "v2p_m6_618ffc4e4dbedd3e", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational, key_col=Administrative_Duration.", + "bindings": { + "key_col": "Administrative_Duration", + "measure_col": "Informational", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_b856610292c22fe1", + "problem_id": "v2p_m6_7186f2213a3c5861", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational_Duration, key_col=Administrative_Duration.", + "bindings": { + "key_col": "Administrative_Duration", + "measure_col": "Informational_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_9317f5990c6460e4", + "problem_id": "v2p_m6_27d7af892a0feb8c", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative, key_col=Informational_Duration.", + "bindings": { + "key_col": "Informational_Duration", + "measure_col": "Administrative", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_d8826611dd096837", + "problem_id": "v2p_m6_074d6d6a74377a09", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative_Duration, key_col=Informational_Duration.", + "bindings": { + "key_col": "Informational_Duration", + "measure_col": "Administrative_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_979a339a80ac5e6c", + "problem_id": "v2p_m6_89e4c300aa7c5e80", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational, key_col=Informational_Duration.", + "bindings": { + "key_col": "Informational_Duration", + "measure_col": "Informational", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_a133cdad28eceb62", + "problem_id": "v2p_m6_6a5043b0f1fc8de4", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative, key_col=ProductRelated.", + "bindings": { + "key_col": "ProductRelated", + "measure_col": "Administrative", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_0b21f44582a2d198", + "problem_id": "v2p_m6_97f9df93508aa1b2", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative_Duration, key_col=ProductRelated.", + "bindings": { + "key_col": "ProductRelated", + "measure_col": "Administrative_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_f84841405bbd5f18", + "problem_id": "v2p_m6_3483c70e740f28be", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational, key_col=ProductRelated.", + "bindings": { + "key_col": "ProductRelated", + "measure_col": "Informational", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_d14c5116b5189e3a", + "problem_id": "v2p_m6_e84980cb80563c1a", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational_Duration, key_col=ProductRelated.", + "bindings": { + "key_col": "ProductRelated", + "measure_col": "Informational_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=13", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 13, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_cc83b220e7f78514", + "problem_id": "v2p_m6_1c994cd4027da2e7", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative, key_col=ProductRelated_Duration.", + "bindings": { + "key_col": "ProductRelated_Duration", + "measure_col": "Administrative", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=14", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 14, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_e24aef71db45b658", + "problem_id": "v2p_m6_cef010b60dc364af", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative_Duration, key_col=ProductRelated_Duration.", + "bindings": { + "key_col": "ProductRelated_Duration", + "measure_col": "Administrative_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=15", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 15, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_50a3a7e96e0a5e1a", + "problem_id": "v2p_m6_6fcefd55fa526c77", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational, key_col=ProductRelated_Duration.", + "bindings": { + "key_col": "ProductRelated_Duration", + "measure_col": "Informational", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=16", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 16, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_36515cbdb32410ca", + "problem_id": "v2p_m6_15fcd4b69767cf89", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational_Duration, key_col=ProductRelated_Duration.", + "bindings": { + "key_col": "ProductRelated_Duration", + "measure_col": "Informational_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=17", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 17, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_797e62764e4b5bca", + "problem_id": "v2p_m6_88c74754dcb03878", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative, key_col=BounceRates.", + "bindings": { + "key_col": "BounceRates", + "measure_col": "Administrative", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=18", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 18, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_bf58e3d882f6dbe8", + "problem_id": "v2p_m6_16689e388ea9c7ce", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative_Duration, key_col=BounceRates.", + "bindings": { + "key_col": "BounceRates", + "measure_col": "Administrative_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=19", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 19, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_2938a8ebae42c790", + "problem_id": "v2p_m6_cf883d0685f0b153", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational, key_col=BounceRates.", + "bindings": { + "key_col": "BounceRates", + "measure_col": "Informational", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=20", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 20, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_827f75d4311b478b", + "problem_id": "v2p_m6_7a8b61825f3ed840", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational_Duration, key_col=BounceRates.", + "bindings": { + "key_col": "BounceRates", + "measure_col": "Informational_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=21", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 21, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_940fdbe034ff5be2", + "problem_id": "v2p_m6_9f626e0928ddf28b", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative, key_col=ExitRates.", + "bindings": { + "key_col": "ExitRates", + "measure_col": "Administrative", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=22", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 22, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_9c0f42979fa5027e", + "problem_id": "v2p_m6_cad63caafb3af439", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative_Duration, key_col=ExitRates.", + "bindings": { + "key_col": "ExitRates", + "measure_col": "Administrative_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=23", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 23, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_20dd92299942c7a8", + "problem_id": "v2p_m6_8af40284ffbeda6f", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational, key_col=ExitRates.", + "bindings": { + "key_col": "ExitRates", + "measure_col": "Informational", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=24", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 24, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_288bed2539e30e8d", + "problem_id": "v2p_m6_9584ab561168408e", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational_Duration, key_col=ExitRates.", + "bindings": { + "key_col": "ExitRates", + "measure_col": "Informational_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=25", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 25, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_9d99ea7321324987", + "problem_id": "v2p_m6_836f16c893b2aec1", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative, key_col=PageValues.", + "bindings": { + "key_col": "PageValues", + "measure_col": "Administrative", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=26", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 26, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_cebb501944d9ac4c", + "problem_id": "v2p_m6_802df7880ca5241a", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative_Duration, key_col=PageValues.", + "bindings": { + "key_col": "PageValues", + "measure_col": "Administrative_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=27", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 27, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_08c8fe3766ab5b10", + "problem_id": "v2p_m6_3c9bafd4ba338709", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational, key_col=PageValues.", + "bindings": { + "key_col": "PageValues", + "measure_col": "Informational", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=28", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 28, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_aa807bceb3c0ee72", + "problem_id": "v2p_m6_44873be78986b5d3", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational_Duration, key_col=PageValues.", + "bindings": { + "key_col": "PageValues", + "measure_col": "Informational_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=29", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 29, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_bd2c0560eb870d61", + "problem_id": "v2p_m6_2e5402fc1f70e84b", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative, key_col=TrafficType.", + "bindings": { + "key_col": "TrafficType", + "measure_col": "Administrative", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=30", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 30, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_4e13e36df7a4dc5b", + "problem_id": "v2p_m6_462739f521a160c9", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Administrative_Duration, key_col=TrafficType.", + "bindings": { + "key_col": "TrafficType", + "measure_col": "Administrative_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=31", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 31, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_fead4bed7b341530", + "problem_id": "v2p_m6_34f828d74251bdb4", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational, key_col=TrafficType.", + "bindings": { + "key_col": "TrafficType", + "measure_col": "Informational", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=32", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 32, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + { + "query_record_id": "v2q_m6_eae41e6f16eb9f86", + "problem_id": "v2p_m6_ec3f1b05eb18225b", + "dataset_id": "m6", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Informational_Duration, key_col=TrafficType.", + "bindings": { + "key_col": "TrafficType", + "measure_col": "Informational_Duration", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=33", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 33, + "sql_variant_index": 1, + "sql_variant_total": 1 + } + ], + "deficits": [ + { + "dataset_id": "m6", + "canonical_subitem_id": "tail_mass_similarity", + "reason": "planned_agent_sql_below_minimum", + "planned_agent_sql_count": 3, + "required_agent_sql_count": 5 + } + ] +}