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[ aws . codepipeline ]



Stops the specified pipeline execution. You choose to either stop the pipeline execution by completing in-progress actions without starting subsequent actions, or by abandoning in-progress actions. While completing or abandoning in-progress actions, the pipeline execution is in a Stopping state. After all in-progress actions are completed or abandoned, the pipeline execution is in a Stopped state.

See also: AWS API Documentation


--pipeline-name <value>
--pipeline-execution-id <value>
[--abandon | --no-abandon]
[--reason <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--endpoint-url <value>]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]


--pipeline-name (string)

The name of the pipeline to stop.

--pipeline-execution-id (string)

The ID of the pipeline execution to be stopped in the current stage. Use the GetPipelineState action to retrieve the current pipelineExecutionId.

--abandon | --no-abandon (boolean)

Use this option to stop the pipeline execution by abandoning, rather than finishing, in-progress actions.


This option can lead to failed or out-of-sequence tasks.

--reason (string)

Use this option to enter comments, such as the reason the pipeline was stopped.

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command's default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

  • json
  • text
  • table

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.



To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal's quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To stop a pipeline execution

The following stop-pipeline-execution example defaults to waiting until in-progress actions finish, and then stops the pipeline. You cannot choose to stop and wait if the execution is already in a Stopping state. You can choose to stop and abandon an execution that is already in a Stopping state.

aws codepipeline stop-pipeline-execution \
    --pipeline-name MyFirstPipeline \
    --pipeline-execution-id d-EXAMPLE \
    --reason "Stopping pipeline after the build action is done"

This command returns no output.

For more information, see Stop a pipeline execution (CLI) in the AWS CodePipeline User Guide.


pipelineExecutionId -> (string)

The unique system-generated ID of the pipeline execution that was stopped.