[ aws . datapipeline ]



Validates the specified pipeline and starts processing pipeline tasks. If the pipeline does not pass validation, activation fails.

If you need to pause the pipeline to investigate an issue with a component, such as a data source or script, call DeactivatePipeline .

To activate a finished pipeline, modify the end date for the pipeline and then activate it.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.


--pipeline-id <value>
[--parameter-values <value>]
[--start-timestamp <value>]
[--parameter-values-uri <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]


--pipeline-id (string)

The ID of the pipeline.

--parameter-values (string) The JSON parameter values. You can specify these as key-value pairs in the key=value format. Multiple parameters are separated by a space. For list type parameter values you can use the same key name and specify each value as a key value pair. e.g. arrayValue=value1 arrayValue=value2

--start-timestamp (timestamp)

The date and time to resume the pipeline. By default, the pipeline resumes from the last completed execution.

--parameter-values-uri (string) The JSON parameter values. If the parameter values are in a file you can use the file://syntax to specify a filename. You can optionally provide these in pipeline definition as well. Parameter values provided on command line would replace the one in definition.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml.

--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. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.


To activate a pipeline

This example activates the specified pipeline:

aws datapipeline activate-pipeline --pipeline-id df-00627471SOVYZEXAMPLE

To activate the pipeline at a specific date and time, use the following command:

aws datapipeline activate-pipeline --pipeline-id df-00627471SOVYZEXAMPLE --start-timestamp 2015-04-07T00:00:00Z