airflow.providers.amazon.aws.sensors.redshift_cluster¶

Classes¶

RedshiftClusterSensor

Waits for a Redshift cluster to reach a specific status.

Module Contents¶

class airflow.providers.amazon.aws.sensors.redshift_cluster.RedshiftClusterSensor(*, cluster_identifier, target_status='available', deferrable=conf.getboolean('operators', 'default_deferrable', fallback=False), **kwargs)[source]¶

Bases: airflow.providers.amazon.aws.sensors.base_aws.AwsBaseSensor[airflow.providers.amazon.aws.hooks.redshift_cluster.RedshiftHook]

Waits for a Redshift cluster to reach a specific status.

See also

For more information on how to use this sensor, take a look at the guide: Wait on an Amazon Redshift cluster state

Parameters:

cluster_identifier (str) – The identifier for the cluster being pinged.
target_status (str) – The cluster status desired.
deferrable (bool) – Run operator in the deferrable mode.
aws_conn_id – The Airflow connection used for AWS credentials. If this is None or empty then the default boto3 behaviour is used. If running Airflow in a distributed manner and aws_conn_id is None or empty, then default boto3 configuration would be used (and must be maintained on each worker node).
region_name – AWS region_name. If not specified then the default boto3 behaviour is used.
verify – Whether or not to verify SSL certificates. See: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html

template_fields: collections.abc.Sequence[str][source]¶

aws_hook_class[source]¶

cluster_identifier[source]¶

target_status = 'available'[source]¶

deferrable = True[source]¶

poke(context)[source]¶

Override when deriving this class.

execute(context)[source]¶

Derive when creating an operator.

The main method to execute the task. Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

execute_complete(context, event=None)[source]¶