AWS CLI Command Reference

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[ aws . iotanalytics ]

start-pipeline-reprocessing

Description

Starts the reprocessing of raw message data through the pipeline.

See also: AWS API Documentation

Synopsis

  start-pipeline-reprocessing
--pipeline-name <value>
[--start-time <value>]
[--end-time <value>]
[--channel-messages <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <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 (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. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.

--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.

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.