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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.
import typing
if typing.TYPE_CHECKING:
from google.cloud import bigquery
def create_table_range_partitioned(table_id: str) -> "bigquery.Table":
# [START bigquery_create_table_range_partitioned]
from google.cloud import bigquery
# 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
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