testbed/googleapis__python-bigquery/tests/unit/test_table_arrow.py

# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import pytest

from google.cloud import bigquery
import google.cloud.bigquery.table


pyarrow = pytest.importorskip("pyarrow", minversion="3.0.0")


def test_to_arrow_with_jobs_query_response():
    resource = {
        "kind": "bigquery#queryResponse",
        "schema": {
            "fields": [
                {"name": "name", "type": "STRING", "mode": "NULLABLE"},
                {"name": "number", "type": "INTEGER", "mode": "NULLABLE"},
            ]
        },
        "jobReference": {
            "projectId": "test-project",
            "jobId": "job_ocd3cb-N62QIslU7R5qKKa2_427J",
            "location": "US",
        },
        "totalRows": "9",
        "rows": [
            {"f": [{"v": "Tiarra"}, {"v": "6"}]},
            {"f": [{"v": "Timothy"}, {"v": "325"}]},
            {"f": [{"v": "Tina"}, {"v": "26"}]},
            {"f": [{"v": "Tierra"}, {"v": "10"}]},
            {"f": [{"v": "Tia"}, {"v": "17"}]},
            {"f": [{"v": "Tiara"}, {"v": "22"}]},
            {"f": [{"v": "Tiana"}, {"v": "6"}]},
            {"f": [{"v": "Tiffany"}, {"v": "229"}]},
            {"f": [{"v": "Tiffani"}, {"v": "8"}]},
        ],
        "totalBytesProcessed": "154775150",
        "jobComplete": True,
        "cacheHit": False,
        "queryId": "job_ocd3cb-N62QIslU7R5qKKa2_427J",
    }

    rows = google.cloud.bigquery.table.RowIterator(
        client=None,
        api_request=None,
        path=None,
        schema=[
            bigquery.SchemaField.from_api_repr(field)
            for field in resource["schema"]["fields"]
        ],
        first_page_response=resource,
    )
    records = rows.to_arrow()

    assert records.column_names == ["name", "number"]
    assert records["name"].to_pylist() == [
        "Tiarra",
        "Timothy",
        "Tina",
        "Tierra",
        "Tia",
        "Tiara",
        "Tiana",
        "Tiffany",
        "Tiffani",
    ]
    assert records["number"].to_pylist() == [6, 325, 26, 10, 17, 22, 6, 229, 8]


def test_to_arrow_with_jobs_query_response_and_max_results():
    resource = {
        "kind": "bigquery#queryResponse",
        "schema": {
            "fields": [
                {"name": "name", "type": "STRING", "mode": "NULLABLE"},
                {"name": "number", "type": "INTEGER", "mode": "NULLABLE"},
            ]
        },
        "jobReference": {
            "projectId": "test-project",
            "jobId": "job_ocd3cb-N62QIslU7R5qKKa2_427J",
            "location": "US",
        },
        "totalRows": "9",
        "rows": [
            {"f": [{"v": "Tiarra"}, {"v": "6"}]},
            {"f": [{"v": "Timothy"}, {"v": "325"}]},
            {"f": [{"v": "Tina"}, {"v": "26"}]},
            {"f": [{"v": "Tierra"}, {"v": "10"}]},
            {"f": [{"v": "Tia"}, {"v": "17"}]},
            {"f": [{"v": "Tiara"}, {"v": "22"}]},
            {"f": [{"v": "Tiana"}, {"v": "6"}]},
            {"f": [{"v": "Tiffany"}, {"v": "229"}]},
            {"f": [{"v": "Tiffani"}, {"v": "8"}]},
        ],
        "totalBytesProcessed": "154775150",
        "jobComplete": True,
        "cacheHit": False,
        "queryId": "job_ocd3cb-N62QIslU7R5qKKa2_427J",
    }

    rows = google.cloud.bigquery.table.RowIterator(
        client=None,
        api_request=None,
        path=None,
        schema=[
            bigquery.SchemaField.from_api_repr(field)
            for field in resource["schema"]["fields"]
        ],
        first_page_response=resource,
        max_results=3,
    )
    records = rows.to_arrow()

    assert records.column_names == ["name", "number"]
    assert records["name"].to_pylist() == [
        "Tiarra",
        "Timothy",
        "Tina",
    ]
    assert records["number"].to_pylist() == [6, 325, 26]