Interpreting Pipeline Status Details

The various status levels displayed in the AWS Data Pipeline console and CLI indicate the condition of a pipeline and its components. The pipeline status is simply an overview of a pipeline; to see more information, view the status of individual pipeline components. You can do this by clicking through a pipeline in the console or retrieving pipeline component details using the CLI.

Status Codes

ACTIVATING

The component or resource is being started, such as an EC2 instance.

CANCELED

The component was canceled by a user or AWS Data Pipeline before it could run. This can happen automatically when a failure occurs in a different component or resource that this component depends on.

CASCADE_FAILED

The component or resource was canceled as a result of a cascade failure from one of its dependencies, but the component was probably not the original source of the failure.

DEACTIVATING

The pipeline is being deactivated.

FAILED

The component or resource encountered an error and stopped working. When a component or resource fails, it can cause cancelations and failures to cascade to other components that depend on it.

FINISHED

The component completed its assigned work.

INACTIVE

The pipeline was deactivated.

PAUSED

The component was paused and is not currently performing its work.

PENDING

The pipeline is ready to be activated for the first time.

RUNNING

The resource is running and ready to receive work.

SCHEDULED

The resource is scheduled to run.

SHUTTING_DOWN

The resource is shutting down after successfully completing its work.

SKIPPED

The component skipped intervals of execution after the pipeline was activated using a time stamp that is later than the current schedule.

TIMEDOUT

The resource exceeded the terminateAfter threshold and was stopped by AWS Data Pipeline. After the resource reaches this status, AWS Data Pipeline ignores the actionOnResourceFailure, retryDelay, and retryTimeout values for that resource. This status applies only to resources.

VALIDATING

The pipeline definition is being validated by AWS Data Pipeline.

WAITING_FOR_RUNNER

The component is waiting for its worker client to retrieve a work item. The component and worker client relationship is controlled by the runsOn or workerGroup fields defined by that component.

WAITING_ON_DEPENDENCIES

The component is verifying that its default and user-configured preconditions are met before performing its work.