docs(samples): add create external table with hive partitioning

samples/snippets/create_table_external_hive_partitioned.py

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+# Copyright 2021 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 create_table_external_hive_partitioned(table_id: str):
+    original_table_id = table_id
+    # [START bigquery_create_table_external_hivepartitioned]
+    # Demonstrates creating an external table with hive partitioning.
+
+    # TODO(developer): Set table_id to the ID of the table to create.
+    table_id = "your-project.your_dataset.your_table_name"
+
+    # TODO(developer): Set source uri.
+    # Example file:
+    # gs://cloud-samples-data/bigquery/hive-partitioning-samples/autolayout/dt=2020-11-15/file1.parquet
+    uri = "gs://cloud-samples-data/bigquery/hive-partitioning-samples/autolayout/*"
+
+    # TODO(developer): Set source uri prefix.
+    source_uri_prefix = (
+        "gs://cloud-samples-data/bigquery/hive-partitioning-samples/autolayout/"
+    )
+
+    # [END bigquery_create_table_external_hivepartitioned]
+    table_id = original_table_id
+    # [START bigquery_create_table_external_hivepartitioned]
+    from google.cloud import bigquery
+
+    # Construct a BigQuery client object.
+    client = bigquery.Client()
+
+    # Configure the external data source.
+    external_config = bigquery.ExternalConfig("PARQUET")
+    external_config.source_uris = [uri]
+    external_config.autodetect = True
+
+    # Configure partitioning options.
+    hive_partitioning_opts = bigquery.external_config.HivePartitioningOptions()
+
+    # The layout of the files in here is compatible with the layout requirements for hive partitioning,
+    # so we can add an optional Hive partitioning configuration to leverage the object paths for deriving
+    # partitioning column information.
+
+    # For more information on how partitions are extracted, see:
+    # https://cloud.google.com/bigquery/docs/hive-partitioned-queries-gcs
+
+    # We have a "/dt=YYYY-MM-DD/" path component in our example files as documented above.
+    # Autolayout will expose this as a column named "dt" of type DATE.
+    hive_partitioning_opts.mode = "AUTO"
+    hive_partitioning_opts.require_partition_filter = True
+    hive_partitioning_opts.source_uri_prefix = source_uri_prefix
+
+    external_config.hive_partitioning = hive_partitioning_opts
+
+    table = bigquery.Table(table_id)
+    table.external_data_configuration = external_config
+
+    table = client.create_table(table)  # Make an API request.
+    print(
+        "Created table {}.{}.{}".format(table.project, table.dataset_id, table.table_id)
+    )
+    # [END bigquery_create_table_external_hivepartitioned]
+    return table

samples/snippets/create_table_external_hive_partitioned_test.py

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+# Copyright 2021 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.
+
+import create_table_external_hive_partitioned
+
+
+def test_create_table_external_hive_partitioned(capsys, random_table_id):
+    table = create_table_external_hive_partitioned.create_table_external_hive_partitioned(
+        random_table_id
+    )
+
+    out, _ = capsys.readouterr()
+    hive_partioning = table.external_data_configuration.hive_partitioning
+    assert "Created table {}".format(random_table_id) in out
+    assert (
+        hive_partioning.source_uri_prefix
+        == "gs://cloud-samples-data/bigquery/hive-partitioning-samples/autolayout/"
+    )
+    assert hive_partioning.require_partition_filter is True
+    assert hive_partioning.mode == "AUTO"