# 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] | |