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c61e0be | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | # Copyright 2024 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
#
# https://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.
def client_query_shortmode() -> None:
# [START bigquery_query_shortquery]
# This example demonstrates issuing a query that may be run in short query mode.
#
# To enable the short query mode preview feature, the QUERY_PREVIEW_ENABLED
# environmental variable should be set to `TRUE`.
from google.cloud import bigquery
# Construct a BigQuery client object.
client = bigquery.Client()
query = """
SELECT
name,
gender,
SUM(number) AS total
FROM
bigquery-public-data.usa_names.usa_1910_2013
GROUP BY
name, gender
ORDER BY
total DESC
LIMIT 10
"""
# Run the query. The returned `rows` iterator can return information about
# how the query was executed as well as the result data.
rows = client.query_and_wait(query)
if rows.job_id is not None:
print("Query was run with job state. Job ID: {}".format(rows.job_id))
else:
print("Query was run in short mode. Query ID: {}".format(rows.query_id))
print("The query data:")
for row in rows:
# Row values can be accessed by field name or index.
print("name={}, gender={}, total={}".format(row[0], row[1], row["total"]))
# [END bigquery_query_shortquery]
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