[ aws . iotanalytics ]

start-pipeline-reprocessing

Description

Starts the reprocessing of raw message data through the pipeline.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  start-pipeline-reprocessing
--pipeline-name <value>
[--start-time <value>]
[--end-time <value>]
[--channel-messages <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--pipeline-name (string)

The name of the pipeline on which to start reprocessing.

--start-time (timestamp)

The start time (inclusive) of raw message data that is reprocessed.

If you specify a value for the startTime parameter, you must not use the channelMessages object.

--end-time (timestamp)

The end time (exclusive) of raw message data that is reprocessed.

If you specify a value for the endTime parameter, you must not use the channelMessages object.

--channel-messages (structure)

Specifies one or more sets of channel messages that you want to reprocess.

If you use the channelMessages object, you must not specify a value for startTime and endTime .

s3Paths -> (list)

Specifies one or more keys that identify the Amazon Simple Storage Service (Amazon S3) objects that save your channel messages.

You must use the full path for the key.

Example path: channel/mychannel/__dt=2020-02-29 00:00:00/1582940490000_1582940520000_123456789012_mychannel_0_2118.0.json.gz

(string)

Shorthand Syntax:

s3Paths=string,string

JSON Syntax:

{
  "s3Paths": ["string", ...]
}

--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. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

See ‘aws help’ for descriptions of global parameters.

Examples

Note

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 start pipeline reprocessing

The following start-pipeline-reprocessing example starts the reprocessing of raw message data through the specified pipeline.

aws iotanalytics start-pipeline-reprocessing \
    --pipeline-name mypipeline

Output:

{
    "reprocessingId": "6ad2764f-fb13-4de3-b101-4e74af03b043"
}

For more information, see StartPipelineReprocessing in the AWS IoT Analytics API Reference.

Output

reprocessingId -> (string)

The ID of the pipeline reprocessing activity that was started.