airflow.providers.amazon.aws.triggers.emr

Module Contents

Classes

EmrAddStepsTrigger

Asynchronously poll the boto3 API and wait for the steps to finish executing.

EmrCreateJobFlowTrigger

Asynchronously poll the boto3 API and wait for the JobFlow to finish executing.

EmrTerminateJobFlowTrigger

Asynchronously poll the boto3 API and wait for the JobFlow to finish terminating.

EmrContainerTrigger

Poll for the status of EMR container until reaches terminal state.

EmrStepSensorTrigger

Poll for the status of EMR container until reaches terminal state.

EmrServerlessCreateApplicationTrigger

Poll an Emr Serverless application and wait for it to be created.

EmrServerlessStartApplicationTrigger

Poll an Emr Serverless application and wait for it to be started.

EmrServerlessStopApplicationTrigger

Poll an Emr Serverless application and wait for it to be stopped.

EmrServerlessStartJobTrigger

Poll an Emr Serverless job run and wait for it to be completed.

EmrServerlessDeleteApplicationTrigger

Poll an Emr Serverless application and wait for it to be deleted.

EmrServerlessCancelJobsTrigger

Trigger for canceling a list of jobs in an EMR Serverless application.
class airflow.providers.amazon.aws.triggers.emr.EmrAddStepsTrigger(job_flow_id, step_ids, aws_conn_id, max_attempts, poll_interval)[source]

Bases: airflow.triggers.base.BaseTrigger

Asynchronously poll the boto3 API and wait for the steps to finish executing.

Parameters

  • job_flow_id (str) – The id of the job flow.

  • step_ids (list[str]) – The id of the steps being waited upon.

  • poll_interval (int | None) – The amount of time in seconds to wait between attempts.

  • max_attempts (int | None) – The maximum number of attempts to be made.

  • aws_conn_id (str) – The Airflow connection used for AWS credentials.

serialize()[source]

Return the information needed to reconstruct this Trigger.

Returns

Tuple of (class path, keyword arguments needed to re-instantiate).

Return type

tuple[str, dict[str, Any]]

async run()[source]

Run the trigger in an asynchronous context.

The trigger should yield an Event whenever it wants to fire off an event, and return None if it is finished. Single-event triggers should thus yield and then immediately return.

If it yields, it is likely that it will be resumed very quickly, but it may not be (e.g. if the workload is being moved to another triggerer process, or a multi-event trigger was being used for a single-event task defer).

In either case, Trigger classes should assume they will be persisted, and then rely on cleanup() being called when they are no longer needed.

class airflow.providers.amazon.aws.triggers.emr.EmrCreateJobFlowTrigger(job_flow_id, poll_interval=None, max_attempts=None, aws_conn_id=None, waiter_delay=30, waiter_max_attempts=60)[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Asynchronously poll the boto3 API and wait for the JobFlow to finish executing.

Parameters

  • job_flow_id (str) – The id of the job flow to wait for.

  • waiter_delay (int) – The amount of time in seconds to wait between attempts.

  • waiter_max_attempts (int) – The maximum number of attempts to be made.

  • aws_conn_id (str | None) – The Airflow connection used for AWS credentials.

hook()[source]

Override in subclasses to return the right hook.

class airflow.providers.amazon.aws.triggers.emr.EmrTerminateJobFlowTrigger(job_flow_id, poll_interval=None, max_attempts=None, aws_conn_id=None, waiter_delay=30, waiter_max_attempts=60)[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Asynchronously poll the boto3 API and wait for the JobFlow to finish terminating.

Parameters

  • job_flow_id (str) – ID of the EMR Job Flow to terminate

  • waiter_delay (int) – The amount of time in seconds to wait between attempts.

  • waiter_max_attempts (int) – The maximum number of attempts to be made.

  • aws_conn_id (str | None) – The Airflow connection used for AWS credentials.

hook()[source]

Override in subclasses to return the right hook.

class airflow.providers.amazon.aws.triggers.emr.EmrContainerTrigger(virtual_cluster_id, job_id, aws_conn_id='aws_default', poll_interval=None, waiter_delay=30, waiter_max_attempts=600)[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Poll for the status of EMR container until reaches terminal state.

Parameters

  • virtual_cluster_id (str) – Reference Emr cluster id

  • job_id (str) – job_id to check the state

  • aws_conn_id (str) – Reference to AWS connection id

  • waiter_delay (int) – polling period in seconds to check for the status

hook()[source]

Override in subclasses to return the right hook.

class airflow.providers.amazon.aws.triggers.emr.EmrStepSensorTrigger(job_flow_id, step_id, waiter_delay=30, waiter_max_attempts=60, aws_conn_id='aws_default')[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Poll for the status of EMR container until reaches terminal state.

Parameters

  • job_flow_id (str) – job_flow_id which contains the step check the state of

  • step_id (str) – step to check the state of

  • waiter_delay (int) – polling period in seconds to check for the status

  • waiter_max_attempts (int) – The maximum number of attempts to be made

  • aws_conn_id (str) – Reference to AWS connection id

hook()[source]

Override in subclasses to return the right hook.

class airflow.providers.amazon.aws.triggers.emr.EmrServerlessCreateApplicationTrigger(application_id, waiter_delay=30, waiter_max_attempts=60, aws_conn_id='aws_default')[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Poll an Emr Serverless application and wait for it to be created.

Parameters

  • application_id (str) – The ID of the application being polled.

  • waiter_max_attempts (int) – The maximum number of attempts to be made

  • aws_conn_id (str) – Reference to AWS connection id

Waiter_delay

polling period in seconds to check for the status

hook()[source]

Override in subclasses to return the right hook.

class airflow.providers.amazon.aws.triggers.emr.EmrServerlessStartApplicationTrigger(application_id, waiter_delay=30, waiter_max_attempts=60, aws_conn_id='aws_default')[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Poll an Emr Serverless application and wait for it to be started.

Parameters

  • application_id (str) – The ID of the application being polled.

  • waiter_max_attempts (int) – The maximum number of attempts to be made

  • aws_conn_id (str) – Reference to AWS connection id

Waiter_delay

polling period in seconds to check for the status

hook()[source]

Override in subclasses to return the right hook.

class airflow.providers.amazon.aws.triggers.emr.EmrServerlessStopApplicationTrigger(application_id, waiter_delay=30, waiter_max_attempts=60, aws_conn_id='aws_default')[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Poll an Emr Serverless application and wait for it to be stopped.

Parameters

  • application_id (str) – The ID of the application being polled.

  • waiter_max_attempts (int) – The maximum number of attempts to be made

  • aws_conn_id (str) – Reference to AWS connection id.

Waiter_delay

polling period in seconds to check for the status

hook()[source]

Override in subclasses to return the right hook.

class airflow.providers.amazon.aws.triggers.emr.EmrServerlessStartJobTrigger(application_id, job_id, waiter_delay=30, waiter_max_attempts=60, aws_conn_id='aws_default')[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Poll an Emr Serverless job run and wait for it to be completed.

Parameters

  • application_id (str) – The ID of the application the job in being run on.

  • job_id (str | None) – The ID of the job run.

  • waiter_max_attempts (int) – The maximum number of attempts to be made

  • aws_conn_id (str) – Reference to AWS connection id

Waiter_delay

polling period in seconds to check for the status

hook()[source]

Override in subclasses to return the right hook.

class airflow.providers.amazon.aws.triggers.emr.EmrServerlessDeleteApplicationTrigger(application_id, waiter_delay=30, waiter_max_attempts=60, aws_conn_id='aws_default')[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Poll an Emr Serverless application and wait for it to be deleted.

Parameters

  • application_id (str) – The ID of the application being polled.

  • waiter_max_attempts (int) – The maximum number of attempts to be made

  • aws_conn_id (str) – Reference to AWS connection id

Waiter_delay

polling period in seconds to check for the status

hook()[source]

Override in subclasses to return the right hook.

class airflow.providers.amazon.aws.triggers.emr.EmrServerlessCancelJobsTrigger(application_id, aws_conn_id, waiter_delay, waiter_max_attempts)[source]

Bases: airflow.providers.amazon.aws.triggers.base.AwsBaseWaiterTrigger

Trigger for canceling a list of jobs in an EMR Serverless application.

Parameters

  • application_id (str) – EMR Serverless application ID

  • aws_conn_id (str) – Reference to AWS connection id

  • waiter_delay (int) – Delay in seconds between each attempt to check the status

  • waiter_max_attempts (int) – Maximum number of attempts to check the status

hook()[source]

Override in subclasses to return the right hook.

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