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# 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 delete_dataset(dataset_id: str) -> None:
# [START bigquery_delete_dataset]
from google.cloud import bigquery
# Construct a BigQuery client object.
client = bigquery.Client()
# TODO(developer): Set model_id to the ID of the model to fetch.
# dataset_id = 'your-project.your_dataset'
# Use the delete_contents parameter to delete a dataset and its contents.
# Use the not_found_ok parameter to not receive an error if the dataset has already been deleted.
client.delete_dataset(
dataset_id, delete_contents=True, not_found_ok=True
) # Make an API request.
print("Deleted dataset '{}'.".format(dataset_id))
# [END bigquery_delete_dataset]
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