airflow.providers.amazon.aws.sensors.batch¶
Module Contents¶
Classes¶
| Poll the state of the Batch Job until it reaches a terminal state; fails if the job fails. | |
| Poll the state of the Batch environment until it reaches a terminal state; fails if the environment fails. | |
| Poll the state of the Batch job queue until it reaches a terminal state; fails if the queue fails. | 
- class airflow.providers.amazon.aws.sensors.batch.BatchSensor(*, job_id, aws_conn_id='aws_default', region_name=None, deferrable=conf.getboolean('operators', 'default_deferrable', fallback=False), poke_interval=5, max_retries=5, **kwargs)[source]¶
- Bases: - airflow.sensors.base.BaseSensorOperator- Poll the state of the Batch Job until it reaches a terminal state; fails if the job fails. - See also - For more information on how to use this sensor, take a look at the guide: Wait on an AWS Batch job state - Parameters
- job_id (str) – Batch job_id to check the state for 
- aws_conn_id (str) – aws connection to use, defaults to ‘aws_default’ 
- region_name (str | None) – aws region name associated with the client 
- deferrable (bool) – Run sensor in the deferrable mode. 
- poke_interval (float) – polling period in seconds to check for the status of the job. 
- max_retries (int) – Number of times to poll for job state before returning the current state. 
 
 - execute(context)[source]¶
- This is the main method to derive when creating an operator. - Context is the same dictionary used as when rendering jinja templates. - Refer to get_template_context for more context. 
 
- class airflow.providers.amazon.aws.sensors.batch.BatchComputeEnvironmentSensor(compute_environment, aws_conn_id='aws_default', region_name=None, **kwargs)[source]¶
- Bases: - airflow.sensors.base.BaseSensorOperator- Poll the state of the Batch environment until it reaches a terminal state; fails if the environment fails. - See also - For more information on how to use this sensor, take a look at the guide: Wait on an AWS Batch compute environment status - Parameters
 
- class airflow.providers.amazon.aws.sensors.batch.BatchJobQueueSensor(job_queue, treat_non_existing_as_deleted=False, aws_conn_id='aws_default', region_name=None, **kwargs)[source]¶
- Bases: - airflow.sensors.base.BaseSensorOperator- Poll the state of the Batch job queue until it reaches a terminal state; fails if the queue fails. - See also - For more information on how to use this sensor, take a look at the guide: Wait on an AWS Batch job queue status - Parameters
- job_queue (str) – Batch job queue name 
- treat_non_existing_as_deleted (bool) – If True, a non-existing Batch job queue is considered as a deleted queue and as such a valid case. 
- aws_conn_id (str) – aws connection to use, defaults to ‘aws_default’ 
- region_name (str | None) – aws region name associated with the client 
 
 
