doc(bigquery): add table create sample using integer range partitioning

bigquery/docs/usage/tables.rst

@@ -58,6 +58,15 @@ Create an empty table with the
    :start-after: [START bigquery_create_table]
    :end-before: [END bigquery_create_table]
 
+Create an integer range partitioned table with the
+:func:`~google.cloud.bigquery.client.Client.create_table` method:
+
+.. literalinclude:: ../samples/create_table_range_partitioned.py
+   :language: python
+   :dedent: 4
+   :start-after: [START bigquery_create_table_range_partitioned]
+   :end-before: [END bigquery_create_table_range_partitioned]
+
 Load table data from a file with the
 :func:`~google.cloud.bigquery.client.Client.load_table_from_file` method:
 

bigquery/samples/create_table_range_partitioned.py

@@ -0,0 +1,45 @@
+# 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 create_table_range_partitioned(client, table_id):
+
+    # [START bigquery_create_table_range_partitioned]
+    from google.cloud import bigquery
+
+    # TODO(developer): Construct a BigQuery client object.
+    # client = bigquery.Client()
+
+    # TODO(developer): Set table_id to the ID of the table to create.
+    # table_id = "your-project.your_dataset.your_table_name"
+
+    schema = [
+        bigquery.SchemaField("full_name", "STRING"),
+        bigquery.SchemaField("city", "STRING"),
+        bigquery.SchemaField("zipcode", "INTEGER"),
+    ]
+
+    table = bigquery.Table(table_id, schema=schema)
+    table.range_partitioning = bigquery.RangePartitioning(
+        # To use integer range partitioning, select a top-level REQUIRED /
+        # NULLABLE column with INTEGER / INT64 data type.
+        field="zipcode",
+        range_=bigquery.PartitionRange(start=0, end=100000, interval=10),
+    )
+    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_range_partitioned]
+    return table

bigquery/samples/tests/test_create_table_range_partitioned.py

@@ -0,0 +1,28 @@
+# 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.
+
+
+from .. import create_table_range_partitioned
+
+
+def test_create_table_range_partitioned(capsys, client, random_table_id):
+    table = create_table_range_partitioned.create_table_range_partitioned(
+        client, random_table_id
+    )
+    out, _ = capsys.readouterr()
+    assert "Created table {}".format(random_table_id) in out
+    assert table.range_partitioning.field == "zipcode"
+    assert table.range_partitioning.range_.start == 0
+    assert table.range_partitioning.range_.end == 100000
+    assert table.range_partitioning.range_.interval == 10