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doc(bigquery): uncomment Client constructor and imports in samples (#10058)
* doc(bigquery): uncomment Client constructor in samples Use a session-scope filter to ensure that a client is only constructed once per test run, saving time on authentication. * remove unnecessary TODOs * add drive scope to credentials
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‎bigquery/samples/add_empty_column.py‎

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# limitations under the License.
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def add_empty_column(client, table_id):
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def add_empty_column(table_id):
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# [START bigquery_add_empty_column]
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from google.cloud import bigquery
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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# Construct a BigQuery client object.
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client = bigquery.Client()
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# TODO(developer): Set table_id to the ID of the table
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# to add an empty column.

‎bigquery/samples/browse_table_data.py‎

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# limitations under the License.
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def browse_table_data(client, table_id):
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def browse_table_data(table_id):
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# [START bigquery_browse_table]
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# TODO(developer): Import the client library.
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# from google.cloud import bigquery
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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from google.cloud import bigquery
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# Construct a BigQuery client object.
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client = bigquery.Client()
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# TODO(developer): Set table_id to the ID of the table to browse data rows.
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# table_id = "your-project.your_dataset.your_table_name"

‎bigquery/samples/client_list_jobs.py‎

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# limitations under the License.
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def client_list_jobs(client):
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def client_list_jobs():
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# [START bigquery_list_jobs]
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# TODO(developer): Import the client library.
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# from google.cloud import bigquery
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from google.cloud import bigquery
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import datetime
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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# Construct a BigQuery client object.
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client = bigquery.Client()
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# List the 10 most recent jobs in reverse chronological order.
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# Omit the max_results parameter to list jobs from the past 6 months.

‎bigquery/samples/client_load_partitioned_table.py‎

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# limitations under the License.
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def client_load_partitioned_table(client, table_id):
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def client_load_partitioned_table(table_id):
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# [START bigquery_load_table_partitioned]
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from google.cloud import bigquery
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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# Construct a BigQuery client object.
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client = bigquery.Client()
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# TODO(developer): Set table_id to the ID of the table to create.
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# table_id = "your-project.your_dataset.your_table_name"

‎bigquery/samples/client_query.py‎

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# limitations under the License.
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def client_query(client):
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def client_query():
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# [START bigquery_query]
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# TODO(developer): Import the client library.
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# from google.cloud import bigquery
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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from google.cloud import bigquery
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# Construct a BigQuery client object.
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client = bigquery.Client()
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query = """
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SELECT name, SUM(number) as total_people

‎bigquery/samples/client_query_add_column.py‎

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# limitations under the License.
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def client_query_add_column(client, table_id):
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def client_query_add_column(table_id):
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# [START bigquery_add_column_query_append]
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from google.cloud import bigquery
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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# Construct a BigQuery client object.
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client = bigquery.Client()
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# TODO(developer): Set table_id to the ID of the destination table.
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# table_id = "your-project.your_dataset.your_table_name"

‎bigquery/samples/client_query_batch.py‎

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# limitations under the License.
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def client_query_batch(client):
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def client_query_batch():
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# [START bigquery_query_batch]
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from google.cloud import bigquery
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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# Construct a BigQuery client object.
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client = bigquery.Client()
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job_config = bigquery.QueryJobConfig(
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# Run at batch priority, which won't count toward concurrent rate limit.

‎bigquery/samples/client_query_destination_table.py‎

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# limitations under the License.
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def client_query_destination_table(client, table_id):
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def client_query_destination_table(table_id):
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# [START bigquery_query_destination_table]
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from google.cloud import bigquery
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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# Construct a BigQuery client object.
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client = bigquery.Client()
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# TODO(developer): Set table_id to the ID of the destination table.
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# table_id = "your-project.your_dataset.your_table_name"

‎bigquery/samples/client_query_destination_table_cmek.py‎

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# limitations under the License.
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def client_query_destination_table_cmek(client, table_id, kms_key_name):
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def client_query_destination_table_cmek(table_id, kms_key_name):
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# [START bigquery_query_destination_table_cmek]
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from google.cloud import bigquery
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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# Construct a BigQuery client object.
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client = bigquery.Client()
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# TODO(developer): Set table_id to the ID of the destination table.
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# table_id = "your-project.your_dataset.your_table_name"

‎bigquery/samples/client_query_destination_table_legacy.py‎

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# limitations under the License.
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def client_query_destination_table_legacy(client, table_id):
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def client_query_destination_table_legacy(table_id):
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# [START bigquery_query_legacy_large_results]
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from google.cloud import bigquery
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# TODO(developer): Construct a BigQuery client object.
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# client = bigquery.Client()
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# Construct a BigQuery client object.
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client = bigquery.Client()
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# TODO(developer): Set table_id to the ID of the destination table.
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# table_id = "your-project.your_dataset.your_table_name"

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