# 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 client_query_add_column(table_id: str) -> None: # [START bigquery_add_column_query_append] from google.cloud import bigquery # Construct a BigQuery client object. client = bigquery.Client() # TODO(developer): Set table_id to the ID of the destination table. # table_id = "your-project.your_dataset.your_table_name" # Retrieves the destination table and checks the length of the schema. table = client.get_table(table_id) # Make an API request. print("Table {} contains {} columns".format(table_id, len(table.schema))) # Configures the query to append the results to a destination table, # allowing field addition. job_config = bigquery.QueryJobConfig( destination=table_id, schema_update_options=[bigquery.SchemaUpdateOption.ALLOW_FIELD_ADDITION], write_disposition=bigquery.WriteDisposition.WRITE_APPEND, ) # Start the query, passing in the extra configuration. client.query_and_wait( # In this example, the existing table contains only the 'full_name' and # 'age' columns, while the results of this query will contain an # additional 'favorite_color' column. 'SELECT "Timmy" as full_name, 85 as age, "Blue" as favorite_color;', job_config=job_config, ) # Make an API request and wait for job to complete. # Checks the updated length of the schema. table = client.get_table(table_id) # Make an API request. print("Table {} now contains {} columns".format(table_id, len(table.schema))) # [END bigquery_add_column_query_append]