-
Notifications
You must be signed in to change notification settings - Fork 303
/
client_query_destination_table_legacy.py
44 lines (36 loc) · 1.54 KB
/
client_query_destination_table_legacy.py
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
# Copyright 2019 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_destination_table_legacy(table_id: str) -> None:
# [START bigquery_query_legacy_large_results]
from google.cloud import bigquery
# Construct a BigQuery client object.
client = bigquery.Client()
# TODO(developer): Set table_id to the ID of the destination table.
# table_id = "your-project.your_dataset.your_table_name"
# Set the destination table and use_legacy_sql to True to use
# legacy SQL syntax.
job_config = bigquery.QueryJobConfig(
allow_large_results=True, destination=table_id, use_legacy_sql=True
)
sql = """
SELECT corpus
FROM [bigquery-public-data:samples.shakespeare]
GROUP BY corpus;
"""
# Start the query, passing in the extra configuration.
client.query_and_wait(
sql, job_config=job_config
) # Make an API request and wait for the query to finish.
print("Query results loaded to the table {}".format(table_id))
# [END bigquery_query_legacy_large_results]