text: # 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_pagination():
  
      # [START bigquery_query_pagination]
  
      from google.cloud import bigquery
  
      # Construct a BigQuery client object.
      client = bigquery.Client()
  
      query = """
          SELECT name, SUM(number) as total_people
          FROM `bigquery-public-data.usa_names.usa_1910_2013`
          GROUP BY name
          ORDER BY total_people DESC
      """
      query_job = client.query(query)  # Make an API request.
      query_job.result()  # Wait for the query to complete.
  
      # Get the destination table for the query results.
      #
      # All queries write to a destination table. If a destination table is not
      # specified, the BigQuery populates it with a reference to a temporary
      # anonymous table after the query completes.
      destination = query_job.destination
  
      # Get the schema (and other properties) for the destination table.
      #
      # A schema is useful for converting from BigQuery types to Python types.
      destination = client.get_table(destination)
  
      # Download rows.
      #
      # The client library automatically handles pagination.
      print("The query data:")
      rows = client.list_rows(destination, max_results=20)
      for row in rows:
          print("name={}, count={}".format(row["name"], row["total_people"]))
      # [END bigquery_query_pagination]
  