Source code for airflow.contrib.hooks.emr_hook

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from airflow.exceptions import AirflowException
from airflow.contrib.hooks.aws_hook import AwsHook

[docs]class EmrHook(AwsHook): """ Interact with AWS EMR. emr_conn_id is only necessary for using the create_job_flow method. """ def __init__(self, emr_conn_id=None, region_name=None, *args, **kwargs): self.emr_conn_id = emr_conn_id self.region_name = region_name self.conn = None super(EmrHook, self).__init__(*args, **kwargs)
[docs] def get_conn(self): if not self.conn: self.conn = self.get_client_type('emr', self.region_name) return self.conn
[docs] def get_cluster_id_by_name(self, emr_cluster_name, cluster_states): conn = self.get_conn() response = conn.list_clusters( ClusterStates=cluster_states ) matching_clusters = list( filter(lambda cluster: cluster['Name'] == emr_cluster_name, response['Clusters']) ) if len(matching_clusters) == 1: cluster_id = matching_clusters[0]['Id']'Found cluster name = %s id = %s' % (emr_cluster_name, cluster_id)) return cluster_id elif len(matching_clusters) > 1: raise AirflowException('More than one cluster found for name = %s' % emr_cluster_name) else: return None
[docs] def create_job_flow(self, job_flow_overrides): """ Creates a job flow using the config from the EMR connection. Keys of the json extra hash may have the arguments of the boto3 run_job_flow method. Overrides for this config may be passed as the job_flow_overrides. """ if not self.emr_conn_id: raise AirflowException('emr_conn_id must be present to use create_job_flow') emr_conn = self.get_connection(self.emr_conn_id) config = emr_conn.extra_dejson.copy() config.update(job_flow_overrides) response = self.get_conn().run_job_flow(**config) return response

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