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async_query.py
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#!/usr/bin/env python
# Copyright 2016 Google Inc. All Rights Reserved.
#
# 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
#
# http://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.
"""Command-line application to perform asynchronous queries in BigQuery.
For more information, see the README.md under /bigquery.
Example invocation:
$ python async_query.py \
'SELECT corpus FROM `publicdata.samples.shakespeare` GROUP BY corpus'
"""
import argparse
import time
import uuid
from gcloud import bigquery
def async_query(query):
client = bigquery.Client()
query_job = client.run_async_query(str(uuid.uuid4()), query)
query_job.use_legacy_sql = False
query_job.begin()
wait_for_job(query_job)
# Manually construct the QueryResults.
# TODO: The client library will provide a helper method that does this.
# https://github.com/GoogleCloudPlatform/gcloud-python/issues/2083
query_results = bigquery.query.QueryResults('', client)
query_results._properties['jobReference'] = {
'jobId': query_job.name,
'projectId': query_job.project
}
# Drain the query results by requesting a page at a time.
page_token = None
while True:
rows, total_rows, page_token = query_results.fetch_data(
max_results=10,
page_token=page_token)
for row in rows:
print(row)
if not page_token:
break
def wait_for_job(job):
while True:
job.reload() # Refreshes the state via a GET request.
if job.state == 'DONE':
if job.error_result:
raise RuntimeError(job.error_result)
return
time.sleep(1)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('query', help='BigQuery SQL Query.')
args = parser.parse_args()
async_query(args.query)