| :mod:`airflow.contrib.operators.spark_sql_operator` |
| =================================================== |
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| .. py:module:: airflow.contrib.operators.spark_sql_operator |
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| Module Contents |
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| .. py:class:: SparkSqlOperator(sql, conf=None, conn_id='spark_sql_default', total_executor_cores=None, executor_cores=None, executor_memory=None, keytab=None, principal=None, master='yarn', name='default-name', num_executors=None, verbose=True, yarn_queue='default', *args, **kwargs) |
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| Bases: :class:`airflow.models.BaseOperator` |
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| Execute Spark SQL query |
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| :param sql: The SQL query to execute. (templated) |
| :type sql: str |
| :param conf: arbitrary Spark configuration property |
| :type conf: str (format: PROP=VALUE) |
| :param conn_id: connection_id string |
| :type conn_id: str |
| :param total_executor_cores: (Standalone & Mesos only) Total cores for all |
| executors (Default: all the available cores on the worker) |
| :type total_executor_cores: int |
| :param executor_cores: (Standalone & YARN only) Number of cores per |
| executor (Default: 2) |
| :type executor_cores: int |
| :param executor_memory: Memory per executor (e.g. 1000M, 2G) (Default: 1G) |
| :type executor_memory: str |
| :param keytab: Full path to the file that contains the keytab |
| :type keytab: str |
| :param master: spark://host:port, mesos://host:port, yarn, or local |
| :type master: str |
| :param name: Name of the job |
| :type name: str |
| :param num_executors: Number of executors to launch |
| :type num_executors: int |
| :param verbose: Whether to pass the verbose flag to spark-sql |
| :type verbose: bool |
| :param yarn_queue: The YARN queue to submit to (Default: "default") |
| :type yarn_queue: str |
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| .. attribute:: template_fields |
| :annotation: = ['_sql'] |
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| .. attribute:: template_ext |
| :annotation: = ['.sql', '.hql'] |
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| .. method:: execute(self, context) |
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| Call the SparkSqlHook to run the provided sql query |
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| .. method:: on_kill(self) |
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