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[ aws . iotanalytics ]

create-pipeline

Description

Creates a pipeline. A pipeline consumes messages from a channel and allows you to process the messages before storing them in a data store. You must specify both a channel and a datastore activity and, optionally, as many as 23 additional activities in the pipelineActivities array.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  create-pipeline
--pipeline-name <value>
--pipeline-activities <value>
[--tags <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--pipeline-name (string)

The name of the pipeline.

--pipeline-activities (list)

A list of "PipelineActivity" objects. Activities perform transformations on your messages, such as removing, renaming or adding message attributes; filtering messages based on attribute values; invoking your Lambda functions on messages for advanced processing; or performing mathematical transformations to normalize device data.

The list can be 2-25 PipelineActivity objects and must contain both a channel and a datastore activity. Each entry in the list must contain only one activity, for example:

pipelineActivities = [ { "channel": { ... } }, { "lambda": { ... } }, ... ]

Shorthand Syntax:

channel={name=string,channelName=string,next=string},lambda={name=string,lambdaName=string,batchSize=integer,next=string},datastore={name=string,datastoreName=string},addAttributes={name=string,attributes={KeyName1=string,KeyName2=string},next=string},removeAttributes={name=string,attributes=[string,string],next=string},selectAttributes={name=string,attributes=[string,string],next=string},filter={name=string,filter=string,next=string},math={name=string,attribute=string,math=string,next=string},deviceRegistryEnrich={name=string,attribute=string,thingName=string,roleArn=string,next=string},deviceShadowEnrich={name=string,attribute=string,thingName=string,roleArn=string,next=string} ...

JSON Syntax:

[
  {
    "channel": {
      "name": "string",
      "channelName": "string",
      "next": "string"
    },
    "lambda": {
      "name": "string",
      "lambdaName": "string",
      "batchSize": integer,
      "next": "string"
    },
    "datastore": {
      "name": "string",
      "datastoreName": "string"
    },
    "addAttributes": {
      "name": "string",
      "attributes": {"string": "string"
        ...},
      "next": "string"
    },
    "removeAttributes": {
      "name": "string",
      "attributes": ["string", ...],
      "next": "string"
    },
    "selectAttributes": {
      "name": "string",
      "attributes": ["string", ...],
      "next": "string"
    },
    "filter": {
      "name": "string",
      "filter": "string",
      "next": "string"
    },
    "math": {
      "name": "string",
      "attribute": "string",
      "math": "string",
      "next": "string"
    },
    "deviceRegistryEnrich": {
      "name": "string",
      "attribute": "string",
      "thingName": "string",
      "roleArn": "string",
      "next": "string"
    },
    "deviceShadowEnrich": {
      "name": "string",
      "attribute": "string",
      "thingName": "string",
      "roleArn": "string",
      "next": "string"
    }
  }
  ...
]

--tags (list)

Metadata which can be used to manage the pipeline.

Shorthand Syntax:

key=string,value=string ...

JSON Syntax:

[
  {
    "key": "string",
    "value": "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.

See 'aws help' for descriptions of global parameters.

Examples

Create an IoT Analytics Pipeline

The following create-pipeline example creates a pipeline. A pipeline consumes messages from a channel and allows you to process the messages before storing them in a data store. You must specify both a channel and a data store activity and, optionally, as many as 23 additional activities in the pipelineActivities array.

aws iotanalytics create-pipeline \
    --cli-input-json file://create-pipeline.json

Contents of create-pipeline.json:

{
    "pipelineName": "mypipeline",
    "pipelineActivities": [
        {
            "channel": {
                "name": "myChannelActivity",
                "channelName": "mychannel",
                "next": "myMathActivity"
            }
        },
        {
            "datastore": {
                "name": "myDatastoreActivity",
                "datastoreName": "mydatastore"
            }
        },
        {
            "math": {
                "name": "myMathActivity",
                "math": "((temp - 32) * 5.0) / 9.0",
                "attribute": "tempC",
                "next": "myDatastoreActivity"
            }
        }
    ],
    "tags": [
        {
            "key": "Environment",
            "value": "Beta"
        }
    ]
}

Output:

{
    "pipelineArn": "arn:aws:iotanalytics:us-west-2:123456789012:pipeline/mypipeline",
    "pipelineName": "mypipeline"
}

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

Output

pipelineName -> (string)

The name of the pipeline.

pipelineArn -> (string)

The ARN of the pipeline.