FEA-Bench / testbed /googleapis__python-bigquery /samples /client_query_destination_table_cmek.py
hc99's picture
Add files using upload-large-folder tool
c61e0be verified
# 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_cmek(table_id: str, kms_key_name: str) -> None:
# [START bigquery_query_destination_table_cmek]
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 encryption key to use for the destination.
# TODO(developer): Replace this key with a key you have created in KMS.
# kms_key_name = "projects/{}/locations/{}/keyRings/{}/cryptoKeys/{}".format(
# your-project, location, your-ring, your-key
# )
job_config = bigquery.QueryJobConfig(
destination=table_id,
destination_encryption_configuration=bigquery.EncryptionConfiguration(
kms_key_name=kms_key_name
),
)
# Start the query, passing in the extra configuration.
query_job = client.query(
"SELECT 17 AS my_col;", job_config=job_config
) # Make an API request.
query_job.result() # Wait for the job to complete.
table = client.get_table(table_id) # Make an API request.
if table.encryption_configuration.kms_key_name == kms_key_name:
print("The destination table is written using the encryption configuration")
# [END bigquery_query_destination_table_cmek]