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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 47 48 | # 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 get_table_make_schema(table_id: str, schema_path: str) -> None:
orig_table_id = table_id
orig_schema_path = schema_path
# [START bigquery_schema_file_get]
from google.cloud import bigquery
client = bigquery.Client()
# TODO(dev): Change the table_id variable to the full name of the
# table you want to get schema from.
table_id = "your-project.your_dataset.your_table_name"
# TODO(dev): Change schema_path variable to the path
# of your schema file.
schema_path = "path/to/schema.json"
# [END bigquery_schema_file_get]
table_id = orig_table_id
schema_path = orig_schema_path
# [START bigquery_schema_file_get]
table = client.get_table(table_id) # Make an API request.
# Write a schema file to schema_path with the schema_to_json method.
client.schema_to_json(table.schema, schema_path)
with open(schema_path, "r", encoding="utf-8") as schema_file:
schema_contents = schema_file.read()
# View table properties
print(f"Got table '{table.project}.{table.dataset_id}.{table.table_id}'.")
print(f"Table schema: {schema_contents}")
# [END bigquery_schema_file_get]
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