I've read the Apache Airflow documentation for operators for BigQuery jobs here (https://airflow.apache.org/docs/apache-airflow-providers-google/stable/_modules/airflow/providers/google/cloud/operators/bigquery.html#BigQueryGetDataOperator) and I can't find how to change the job priority to batch. How is it can be done?
1 Answers
0
votes
BigQueryExecuteQueryOperator has priority param that can be set with INTERACTIVE/BATCH the default is INTERACTIVE:
execute_insert_query = BigQueryExecuteQueryOperator(
task_id="execute_insert_query",
sql=INSERT_ROWS_QUERY,
use_legacy_sql=False,
location=location,
priority='BATCH',
)
The BigQueryInsertJobOperator doesn't have it.
I think you can create a custom operator that inherits from BigQueryInsertJobOperator and adds it by overwriting the _submit_job function:
class MyBigQueryInsertJobOperator(BigQueryInsertJobOperator):
def __init__(
self,
priority: str = 'INTERACTIVE',
**kwargs,
) -> None:
super().__init__(**kwargs)
self.priority = priority
def _submit_job(
self,
hook: BigQueryHook,
job_id: str,
) -> BigQueryJob:
# Submit a new job
job = hook.insert_job(
configuration=self.configuration,
project_id=self.project_id,
location=self.location,
job_id=job_id,
priority=self.priority,
)
# Start the job and wait for it to complete and get the result.
job.result()
return job
I didn't test though but it should work.