[ aws . datapipeline ]
Adds tasks, schedules, and preconditions to the specified pipeline. You can use PutPipelineDefinition
to populate a new pipeline.
PutPipelineDefinition
also validates the configuration as it adds it to the pipeline. Changes to the pipeline are saved unless one of the following three validation errors exists in the pipeline.
An object is missing a name or identifier field.
A string or reference field is empty.
The number of objects in the pipeline exceeds the maximum allowed objects.
The pipeline is in a FINISHED state.
Pipeline object definitions are passed to the PutPipelineDefinition
action and returned by the GetPipelineDefinition action.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
put-pipeline-definition
--pipeline-id <value>
[--parameter-objects <value>]
[--parameter-values <value>]
--pipeline-definition <value>
[--parameter-values-uri <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]
--pipeline-id
(string)
The ID of the pipeline.
--parameter-objects
(string)
The JSON parameter objects. If the parameter objects 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 objects provided on command line would replace the one in definition.
--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
--pipeline-definition
(string)
The JSON pipeline definition. If the pipeline definition is in a file you can use the file://syntax to specify a filename.
--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.
--cli-auto-prompt
(boolean)
Automatically prompt for CLI input parameters.
See ‘aws help’ for descriptions of global parameters.
To upload a pipeline definition
This example uploads the specified pipeline definition to the specified pipeline:
aws datapipeline put-pipeline-definition --pipeline-id df-00627471SOVYZEXAMPLE --pipeline-definition file://my-pipeline-definition.json
The following is example output:
{
"validationErrors": [],
"errored": false,
"validationWarnings": []
}
validationErrors -> (list)
The validation errors that are associated with the objects defined in
pipelineObjects
.(structure)
Defines a validation error. Validation errors prevent pipeline activation. The set of validation errors that can be returned are defined by AWS Data Pipeline.
id -> (string)
The identifier of the object that contains the validation error.
errors -> (list)
A description of the validation error.
(string)
validationWarnings -> (list)
The validation warnings that are associated with the objects defined in
pipelineObjects
.(structure)
Defines a validation warning. Validation warnings do not prevent pipeline activation. The set of validation warnings that can be returned are defined by AWS Data Pipeline.
id -> (string)
The identifier of the object that contains the validation warning.
warnings -> (list)
A description of the validation warning.
(string)
errored -> (boolean)
Indicates whether there were validation errors, and the pipeline definition is stored but cannot be activated until you correct the pipeline and call
PutPipelineDefinition
to commit the corrected pipeline.