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feat(bigquery): add Dataset.default_partition_expiration_ms and Table…
….require_partition_filter properties (#9464) * feat(bigquery): add Dataset.default_partiion_expiration_ms and Table.require_partition_filter properties Samples double as system tests. I aim to use them here: * https://cloud.google.com/bigquery/docs/managing-partitioned-tables#require-filter * https://cloud.google.com/bigquery/docs/updating-datasets#partition-expiration Note: this also (silently) deprecates TimePartitioning.require_partition_filter, as that's duplicating the same functionality. I was curious why the expiration_ms wasn't also moving up, but then I realized that property only makes sense if a partition is assocatied with a timestamp. * add deprecation warning to require_partition_filter * blacken
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bigquery/samples/tests/test_update_dataset_default_partition_expiration.py
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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. | ||
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from .. import update_dataset_default_partition_expiration | ||
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def test_update_dataset_default_partition_expiration(capsys, client, dataset_id): | ||
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ninety_days_ms = 90 * 24 * 60 * 60 * 1000 # in milliseconds | ||
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update_dataset_default_partition_expiration.update_dataset_default_partition_expiration( | ||
client, dataset_id | ||
) | ||
out, _ = capsys.readouterr() | ||
assert ( | ||
"Updated dataset {} with new default partition expiration {}".format( | ||
dataset_id, ninety_days_ms | ||
) | ||
in out | ||
) |
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bigquery/samples/tests/test_update_table_require_partition_filter.py
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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. | ||
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from google.cloud import bigquery | ||
from .. import update_table_require_partition_filter | ||
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def test_update_table_require_partition_filter(capsys, client, random_table_id): | ||
# Make a partitioned table. | ||
schema = [bigquery.SchemaField("transaction_timestamp", "TIMESTAMP")] | ||
table = bigquery.Table(random_table_id, schema) | ||
table.time_partitioning = bigquery.TimePartitioning(field="transaction_timestamp") | ||
table = client.create_table(table) | ||
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update_table_require_partition_filter.update_table_require_partition_filter( | ||
client, random_table_id | ||
) | ||
out, _ = capsys.readouterr() | ||
assert ( | ||
"Updated table '{}' with require_partition_filter=True".format(random_table_id) | ||
in out | ||
) |
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bigquery/samples/update_dataset_default_partition_expiration.py
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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. | ||
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def update_dataset_default_partition_expiration(client, dataset_id): | ||
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# [START bigquery_update_dataset_partition_expiration] | ||
# TODO(developer): Import the client library. | ||
# from google.cloud import bigquery | ||
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# TODO(developer): Construct a BigQuery client object. | ||
# client = bigquery.Client() | ||
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# TODO(developer): Set dataset_id to the ID of the dataset to fetch. | ||
# dataset_id = 'your-project.your_dataset' | ||
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dataset = client.get_dataset(dataset_id) # Make an API request. | ||
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# Set the default partition expiration (applies to new tables, only) in | ||
# milliseconds. This example sets the default expiration to 90 days. | ||
dataset.default_partition_expiration_ms = 90 * 24 * 60 * 60 * 1000 | ||
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dataset = client.update_dataset( | ||
dataset, ["default_partition_expiration_ms"] | ||
) # Make an API request. | ||
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print( | ||
"Updated dataset {}.{} with new default partition expiration {}".format( | ||
dataset.project, dataset.dataset_id, dataset.default_partition_expiration_ms | ||
) | ||
) | ||
# [END bigquery_update_dataset_partition_expiration] |
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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. | ||
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def update_table_require_partition_filter(client, table_id): | ||
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# [START bigquery_update_table_require_partition_filter] | ||
# TODO(developer): Import the client library. | ||
# from google.cloud import bigquery | ||
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# TODO(developer): Construct a BigQuery client object. | ||
# client = bigquery.Client() | ||
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# TODO(developer): Set table_id to the ID of the model to fetch. | ||
# table_id = 'your-project.your_dataset.your_table' | ||
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table = client.get_table(table_id) # Make an API request. | ||
table.require_partition_filter = True | ||
table = client.update_table(table, ["require_partition_filter"]) | ||
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# View table properties | ||
print( | ||
"Updated table '{}.{}.{}' with require_partition_filter={}.".format( | ||
table.project, | ||
table.dataset_id, | ||
table.table_id, | ||
table.require_partition_filter, | ||
) | ||
) | ||
# [END bigquery_update_table_require_partition_filter] |
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