docs: update multiple samples to change query to query_and_wait

samples/client_query_add_column.py

@@ -36,14 +36,13 @@ def client_query_add_column(table_id: str) -> None:
     )
 
     # Start the query, passing in the extra configuration.
-    query_job = client.query(
+    client.query_and_wait(
         # In this example, the existing table contains only the 'full_name' and
         # 'age' columns, while the results of this query will contain an
         # additional 'favorite_color' column.
         'SELECT "Timmy" as full_name, 85 as age, "Blue" as favorite_color;',
         job_config=job_config,
-    )  # Make an API request.
-    query_job.result()  # Wait for the job to complete.
+    )  # Make an API request and wait for job to complete.
 
     # Checks the updated length of the schema.
     table = client.get_table(table_id)  # Make an API request.

samples/client_query_destination_table_clustered.py

@@ -31,8 +31,9 @@ def client_query_destination_table_clustered(table_id: str) -> None:
     )
 
     # Start the query, passing in the extra configuration.
-    query_job = client.query(sql, job_config=job_config)  # Make an API request.
-    query_job.result()  # Wait for the job to complete.
+    client.query_and_wait(
+        sql, job_config=job_config
+    )  # Make an API request and wait for job to complete.
 
     table = client.get_table(table_id)  # Make an API request.
     if table.clustering_fields == cluster_fields:

samples/client_query_legacy_sql.py

@@ -29,10 +29,12 @@ def client_query_legacy_sql() -> None:
     # Set use_legacy_sql to True to use legacy SQL syntax.
     job_config = bigquery.QueryJobConfig(use_legacy_sql=True)
 
-    # Start the query, passing in the extra configuration.
-    query_job = client.query(query, job_config=job_config)  # Make an API request.
+    # Start the query and waits for query job to complete, passing in the extra configuration.
+    results = client.query_and_wait(
+        query, job_config=job_config
+    )  # Make an API request.
 
     print("The query data:")
-    for row in query_job:
+    for row in results:
         print(row)
     # [END bigquery_query_legacy]

samples/client_query_relax_column.py

@@ -39,13 +39,12 @@ def client_query_relax_column(table_id: str) -> None:
     )
 
     # Start the query, passing in the extra configuration.
-    query_job = client.query(
+    client.query_and_wait(
         # In this example, the existing table contains 'full_name' and 'age' as
         # required columns, but the query results will omit the second column.
         'SELECT "Beyonce" as full_name;',
         job_config=job_config,
-    )  # Make an API request.
-    query_job.result()  # Wait for the job to complete.
+    )  # Make an API request and wait for job to complete
 
     # Checks the updated number of required fields.
     table = client.get_table(table_id)  # Make an API request.

samples/client_query_w_struct_params.py

@@ -30,8 +30,10 @@ def client_query_w_struct_params() -> None:
             )
         ]
     )
-    query_job = client.query(query, job_config=job_config)  # Make an API request.
+    results = client.query_and_wait(
+        query, job_config=job_config
+    )  # Make an API request and waits for results.
 
-    for row in query_job:
+    for row in results:
         print(row.s)
     # [END bigquery_query_params_structs]

samples/download_public_data_sandbox.py

@@ -27,7 +27,9 @@ def download_public_data_sandbox() -> None:
     query_string = "SELECT * FROM `bigquery-public-data.usa_names.usa_1910_current`"
 
     # Use the BigQuery Storage API to speed-up downloads of large tables.
-    dataframe = client.query(query_string).to_dataframe(create_bqstorage_client=True)
+    dataframe = client.query_and_wait(query_string).to_dataframe(
+        create_bqstorage_client=True
+    )
 
     print(dataframe.info())
     # [END bigquery_pandas_public_data_sandbox]

samples/snippets/authorized_view_tutorial.py

@@ -62,15 +62,13 @@ def run_authorized_view_tutorial(
         FROM `bigquery-public-data.github_repos.commits`
         LIMIT 1000
     """
-    query_job = client.query(
+    client.query_and_wait(
         sql,
         # Location must match that of the dataset(s) referenced in the query
         # and of the destination table.
         location="US",
         job_config=job_config,
-    )  # API request - starts the query
-
-    query_job.result()  # Waits for the query to finish
+    )  # API request - starts the query and waits for query to finish
     # [END bigquery_avt_create_source_table]
 
     # Create a separate dataset to store your view

samples/snippets/natality_tutorial.py

@@ -83,8 +83,7 @@ def run_natality_tutorial(override_values: Optional[Dict[str, str]] = None) -> N
     """
 
     # Run the query.
-    query_job = client.query(query, job_config=job_config)
-    query_job.result()  # Waits for the query to finish
+    client.query_and_wait(query, job_config=job_config)  # Waits for the query to finish
     # [END bigquery_query_natality_tutorial]
 
 

samples/snippets/simple_app.py

@@ -27,7 +27,7 @@ def query_stackoverflow() -> None:
     client = bigquery.Client()
     # [END bigquery_simple_app_client]
     # [START bigquery_simple_app_query]
-    query_job = client.query(
+    results = client.query_and_wait(
         """
         SELECT
           CONCAT(
@@ -38,9 +38,7 @@ def query_stackoverflow() -> None:
         WHERE tags like '%google-bigquery%'
         ORDER BY view_count DESC
         LIMIT 10"""
-    )
-
-    results = query_job.result()  # Waits for job to complete.
+    )  # Waits for job to complete.
     # [END bigquery_simple_app_query]
 
     # [START bigquery_simple_app_print]

samples/tests/conftest.py

@@ -174,7 +174,7 @@ def model_id(client: bigquery.Client, dataset_id: str) -> str:
         model_id
     )
 
-    client.query(sql).result()
+    client.query_and_wait(sql)
     return model_id