| # 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] | |