#!/usr/bin/env python # Copyright 2016 Google Inc. # # 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 app to perform synchronous queries with parameters in BigQuery. For more information, see the README.md under /bigquery. Example invocation: $ python sync_query_params.py --use-named-params 'romeoandjuliet' 100 $ python sync_query_params.py --use-positional-params 'romeoandjuliet' 100 """ import argparse from google.cloud import bigquery def print_results(query_results): """Print 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 sync_query_positional_params(corpus, min_word_count): client = bigquery.Client() query_results = client.run_sync_query( """SELECT word, word_count FROM `bigquery-public-data.samples.shakespeare` WHERE corpus = ? AND word_count >= ? ORDER BY word_count DESC; """, query_parameters=( bigquery.ScalarQueryParameter( # Set the name to None to use positional parameters (? symbol # in the query). Note that you cannot mix named and positional # parameters. None, 'STRING', corpus), bigquery.ScalarQueryParameter(None, 'INT64', min_word_count))) # Only standard SQL syntax supports parameters in queries. # See: https://cloud.google.com/bigquery/sql-reference/ query_results.use_legacy_sql = False query_results.run() print_results(query_results) def sync_query_named_params(corpus, min_word_count): client = bigquery.Client() query_results = client.run_sync_query( """SELECT word, word_count FROM `bigquery-public-data.samples.shakespeare` WHERE corpus = @corpus AND word_count >= @min_word_count ORDER BY word_count DESC; """, query_parameters=( bigquery.ScalarQueryParameter('corpus', 'STRING', corpus), bigquery.ScalarQueryParameter( 'min_word_count', 'INT64', min_word_count))) query_results.use_legacy_sql = False query_results.run() print_results(query_results) if __name__ == '__main__': parser = argparse.ArgumentParser( description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) parser.add_argument( 'corpus', help='Corpus to search from Shakespeare dataset.') parser.add_argument( 'min_word_count', help='Minimum count of words to query.', type=int) params_type_parser = parser.add_mutually_exclusive_group(required=False) params_type_parser.add_argument( '--use-named-params', dest='use_named_params', action='store_true') params_type_parser.add_argument( '--use-positional-params', dest='use_named_params', action='store_false') parser.set_defaults(use_named_params=False) args = parser.parse_args() if args.use_named_params: sync_query_named_params(args.corpus, args.min_word_count) else: sync_query_positional_params(args.corpus, args.min_word_count)