File size: 1,622 Bytes
1856027 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | # 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
|