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query_script.py
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query_script.py
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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.
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<STRING>;
-- 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]
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