amazon.aws.triggers.redshift_cluster

Module Contents

Classes

RedshiftClusterTrigger

Base class for all triggers.

RedshiftClusterSensorTrigger

Base class for all triggers.
class amazon.aws.triggers.redshift_cluster.RedshiftClusterTrigger(task_id, polling_period_seconds, aws_conn_id, cluster_identifier, operation_type)

Bases: airflow.triggers.base.BaseTrigger

Base class for all triggers.

A trigger has two contexts it can exist in:

  • Inside an Operator, when it’s passed to TaskDeferred

  • Actively running in a trigger worker

We use the same class for both situations, and rely on all Trigger classes to be able to return the (Airflow-JSON-encodable) arguments that will let them be re-instantiated elsewhere.

serialize(self)

Serializes RedshiftClusterTrigger arguments and classpath.

async run(self)

Make async connection to redshift, based on the operation type call the RedshiftHookAsync functions if operation_type is ‘resume_cluster’ it will call the resume_cluster function in RedshiftHookAsync if operation_type is ‘pause_cluster it will call the pause_cluster function in RedshiftHookAsync

class amazon.aws.triggers.redshift_cluster.RedshiftClusterSensorTrigger(task_id, aws_conn_id, cluster_identifier, target_status, polling_period_seconds)

Bases: airflow.triggers.base.BaseTrigger

Base class for all triggers.

A trigger has two contexts it can exist in:

  • Inside an Operator, when it’s passed to TaskDeferred

  • Actively running in a trigger worker

We use the same class for both situations, and rely on all Trigger classes to be able to return the (Airflow-JSON-encodable) arguments that will let them be re-instantiated elsewhere.

serialize(self)

Serializes RedshiftClusterSensorTrigger arguments and classpath.

async run(self)

Simple async function run until the cluster status match the target status.