FEA-Bench / testbed /googleapis__python-bigquery /samples /client_query_w_named_params.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 client_query_w_named_params() -> None:
# [START bigquery_query_params_named]
from google.cloud import bigquery
# Construct a BigQuery client object.
client = bigquery.Client()
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;
"""
job_config = bigquery.QueryJobConfig(
query_parameters=[
bigquery.ScalarQueryParameter("corpus", "STRING", "romeoandjuliet"),
bigquery.ScalarQueryParameter("min_word_count", "INT64", 250),
]
)
results = client.query_and_wait(
query, job_config=job_config
) # Make an API request.
for row in results:
print("{}: \t{}".format(row.word, row.word_count))
# [END bigquery_query_params_named]