googleapis · tswast · Oct 5, 2023 · Dec 20, 2022 · Oct 5, 2023
@@ -125,6 +125,8 @@ def test_create_partitioned_table(client, to_delete):
     dataset = client.create_dataset(dataset_ref)
     to_delete.append(dataset)
 
+    # TODO(tswast): remove this snippet once cloud.google.com is updated to use
+    # samples/snippets/create_partitioned_table.py
     # [START bigquery_create_table_partitioned]
     # from google.cloud import bigquery
     # client = bigquery.Client()

@@ -0,0 +1,45 @@
+# Copyright 2022 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_partitioned_table(table_id):
+    your_fully_qualified_table_id = table_id
+
+    # [START bigquery_create_table_partitioned]
+    from google.cloud import bigquery
+
+    client = bigquery.Client()
+
+    # Use format "your-project.your_dataset.your_table_name" for table_id
+    table_id = your_fully_qualified_table_id
+    schema = [
+        bigquery.SchemaField("name", "STRING"),
+        bigquery.SchemaField("post_abbr", "STRING"),
+        bigquery.SchemaField("date", "DATE"),
+    ]
+    table = bigquery.Table(table_id, schema=schema)
+    table.time_partitioning = bigquery.TimePartitioning(
+        type_=bigquery.TimePartitioningType.DAY,
+        field="date",  # name of column to use for partitioning
+        expiration_ms=1000 * 60 * 60 * 24 * 90,
+    )  # 90 days
+
+    table = client.create_table(table)
+
+    print(
+        f"Created table {table.project}.{table.dataset_id}.{table.table_id}, "
+        f"partitioned on column {table.time_partitioning.field}."
+    )
+    # [END bigquery_create_table_partitioned]
+    return table
@@ -0,0 +1,34 @@
+# Copyright 2022 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 typing
+
+import create_partitioned_table
+
+if typing.TYPE_CHECKING:
+    import pytest
+
+
+def test_create_partitioned_table(
+    capsys: "pytest.CaptureFixture[str]",
+    random_table_id: str,
+) -> None:
+    table = create_partitioned_table.create_partitioned_table(random_table_id)
+
+    out, _ = capsys.readouterr()
+    assert "Created" in out
+    assert random_table_id in out
+
+    assert table.time_partitioning.type_ == "DAY"
+    assert table.time_partitioning.field == "date"