airflow.providers.apache.spark.hooks.spark_sql
¶
Module Contents¶
Classes¶
This hook is a wrapper around the spark-sql binary; requires the "spark-sql" binary to be in the PATH. |
- class airflow.providers.apache.spark.hooks.spark_sql.SparkSqlHook(sql, conf=None, conn_id=default_conn_name, total_executor_cores=None, executor_cores=None, executor_memory=None, keytab=None, principal=None, master=None, name='default-name', num_executors=None, verbose=True, yarn_queue=None)[source]¶
Bases:
airflow.hooks.base.BaseHook
This hook is a wrapper around the spark-sql binary; requires the “spark-sql” binary to be in the PATH.
- Parameters
sql (str) – The SQL query to execute
conf (dict[str, Any] | str | None) – arbitrary Spark configuration property
conn_id (str) – connection_id string
total_executor_cores (int | None) – (Standalone & Mesos only) Total cores for all executors (Default: all the available cores on the worker)
executor_cores (int | None) – (Standalone & YARN only) Number of cores per executor (Default: 2)
executor_memory (str | None) – Memory per executor (e.g. 1000M, 2G) (Default: 1G)
keytab (str | None) – Full path to the file that contains the keytab
master (str | None) – spark://host:port, mesos://host:port, yarn, or local (Default: The
host
andport
set in the Connection, or"yarn"
)name (str) – Name of the job.
num_executors (int | None) – Number of executors to launch
verbose (bool) – Whether to pass the verbose flag to spark-sql
yarn_queue (str | None) – The YARN queue to submit to (Default: The
queue
value set in the Connection, or"default"
)
- classmethod get_ui_field_behaviour()[source]¶
Return custom UI field behaviour for Spark SQL connection.
- classmethod get_connection_form_widgets()[source]¶
Return connection widgets to add to Spark SQL connection form.