Add Application Input

kinesisanalytics_add_application_input

R Documentation

This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications

Description

This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see Amazon Kinesis Data Analytics API V2 Documentation.

Adds a streaming source to your Amazon Kinesis application. For conceptual information, see Configuring Application Input.

You can add a streaming source either when you create an application or you can use this operation to add a streaming source after you create an application. For more information, see create_application.

Any configuration update, including adding a streaming source using this operation, results in a new version of the application. You can use the describe_application operation to find the current application version.

This operation requires permissions to perform the kinesisanalytics:AddApplicationInput action.

Usage

kinesisanalytics_add_application_input(ApplicationName,
  CurrentApplicationVersionId, Input)

Arguments

ApplicationName	[required] Name of your existing Amazon Kinesis Analytics application to which you want to add the streaming source.
CurrentApplicationVersionId	[required] Current version of your Amazon Kinesis Analytics application. You can use the describe_application operation to find the current application version.
Input	[required] The Input to add.

Value

An empty list.

Request syntax

svc$add_application_input(
  ApplicationName = "string",
  CurrentApplicationVersionId = 123,
  Input = list(
    NamePrefix = "string",
    InputProcessingConfiguration = list(
      InputLambdaProcessor = list(
        ResourceARN = "string",
        RoleARN = "string"
      )
    ),
    KinesisStreamsInput = list(
      ResourceARN = "string",
      RoleARN = "string"
    ),
    KinesisFirehoseInput = list(
      ResourceARN = "string",
      RoleARN = "string"
    ),
    InputParallelism = list(
      Count = 123
    ),
    InputSchema = list(
      RecordFormat = list(
        RecordFormatType = "JSON"|"CSV",
        MappingParameters = list(
          JSONMappingParameters = list(
            RecordRowPath = "string"
          ),
          CSVMappingParameters = list(
            RecordRowDelimiter = "string",
            RecordColumnDelimiter = "string"
          )
        )
      ),
      RecordEncoding = "string",
      RecordColumns = list(
        list(
          Name = "string",
          Mapping = "string",
          SqlType = "string"
        )
      )
    )
  )
)