blob: f885bb809e64048899057b31c7c44a8f17d8029e [file] [log] [blame]
:mod:`airflow.contrib.operators.emr_add_steps_operator`
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.. py:module:: airflow.contrib.operators.emr_add_steps_operator
Module Contents
---------------
.. py:class:: EmrAddStepsOperator(job_flow_id=None, job_flow_name=None, cluster_states=None, aws_conn_id='aws_default', steps=None, *args, **kwargs)
Bases: :class:`airflow.models.BaseOperator`
An operator that adds steps to an existing EMR job_flow.
:param job_flow_id: id of the JobFlow to add steps to. (templated)
:type job_flow_id: str
:param job_flow_name: name of the JobFlow to add steps to. Use as an alternative to passing
job_flow_id. will search for id of JobFlow with matching name in one of the states in
param cluster_states. Exactly one cluster like this should exist or will fail. (templated)
:type job_flow_name: str
:param cluster_states: Acceptable cluster states when searching for JobFlow id by job_flow_name.
(templated)
:type cluster_states: list
:param aws_conn_id: aws connection to uses
:type aws_conn_id: str
:param steps: boto3 style steps to be added to the jobflow. (templated)
:type steps: list
:param do_xcom_push: if True, job_flow_id is pushed to XCom with key job_flow_id.
:type do_xcom_push: bool
.. attribute:: template_fields
:annotation: = ['job_flow_id', 'job_flow_name', 'cluster_states', 'steps']
.. attribute:: template_ext
:annotation: = []
.. attribute:: ui_color
:annotation: = #f9c915
.. method:: execute(self, context)