# 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 query_script() -> None: # [START bigquery_query_script] from google.cloud import bigquery # Construct a BigQuery client object. client = bigquery.Client() # Run a SQL script. sql_script = """ -- Declare a variable to hold names as an array. DECLARE top_names ARRAY; -- Build an array of the top 100 names from the year 2017. SET top_names = ( SELECT ARRAY_AGG(name ORDER BY number DESC LIMIT 100) FROM `bigquery-public-data.usa_names.usa_1910_2013` WHERE year = 2000 ); -- Which names appear as words in Shakespeare's plays? SELECT name AS shakespeare_name FROM UNNEST(top_names) AS name WHERE name IN ( SELECT word FROM `bigquery-public-data.samples.shakespeare` ); """ parent_job = client.query(sql_script) # Wait for the whole script to finish. rows_iterable = parent_job.result() print("Script created {} child jobs.".format(parent_job.num_child_jobs)) # Fetch result rows for the final sub-job in the script. rows = list(rows_iterable) print( "{} of the top 100 names from year 2000 also appear in Shakespeare's works.".format( len(rows) ) ) # Fetch jobs created by the SQL script. child_jobs_iterable = client.list_jobs(parent_job=parent_job) for child_job in child_jobs_iterable: child_rows = list(child_job.result()) print( "Child job with ID {} produced {} row(s).".format( child_job.job_id, len(child_rows) ) ) # [END bigquery_query_script]