#!/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)