Amazon Managed Apache Flink Input Structure

When you configure the application input for a SQL-based Kinesis Data Analytics application, you specify the streaming source, the in-application stream name that is created, and the mapping between the two.

Type: object Properties: 6 Required: 2
Apache FlinkBig DataReal-Time ProcessingStreaming Analytics

Input is a JSON Structure definition published by Amazon Managed Service for Apache Flink, describing 6 properties, of which 2 are required. It conforms to the https://json-structure.org/meta/core/v0/# meta-schema.

Properties

NamePrefix InputProcessingConfiguration KinesisStreamsInput KinesisFirehoseInput InputParallelism InputSchema

Meta-schema: https://json-structure.org/meta/core/v0/#

JSON Structure

Raw ↑
{
  "$schema": "https://json-structure.org/meta/core/v0/#",
  "$id": "https://raw.githubusercontent.com/api-evangelist/amazon-managed-apache-flink/refs/heads/main/json-structure/amazon-managed-apache-flink-input-structure.json",
  "name": "Input",
  "description": "When you configure the application input for a SQL-based Kinesis Data Analytics application, you specify the streaming source, the in-application stream name that is created, and the mapping between the two. ",
  "type": "object",
  "properties": {
    "NamePrefix": {
      "allOf": [
        {
          "$ref": "#/components/schemas/InAppStreamName"
        },
        {
          "description": "The name prefix to use when creating an in-application stream. Suppose that you specify a prefix \"<code>MyInApplicationStream</code>.\" Kinesis Data Analytics then creates one or more (as per the <code>InputParallelism</code> count you specified) in-application streams with the names \"<code>MyInApplicationStream_001</code>,\" \"<code>MyInApplicationStream_002</code>,\" and so on. "
        }
      ]
    },
    "InputProcessingConfiguration": {
      "allOf": [
        {
          "$ref": "#/components/schemas/InputProcessingConfiguration"
        },
        {
          "description": "The <a>InputProcessingConfiguration</a> for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is <a>InputLambdaProcessor</a>. "
        }
      ]
    },
    "KinesisStreamsInput": {
      "allOf": [
        {
          "$ref": "#/components/schemas/KinesisStreamsInput"
        },
        {
          "description": "If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN). "
        }
      ]
    },
    "KinesisFirehoseInput": {
      "allOf": [
        {
          "$ref": "#/components/schemas/KinesisFirehoseInput"
        },
        {
          "description": "If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN."
        }
      ]
    },
    "InputParallelism": {
      "allOf": [
        {
          "$ref": "#/components/schemas/InputParallelism"
        },
        {
          "description": "Describes the number of in-application streams to create. "
        }
      ]
    },
    "InputSchema": {
      "allOf": [
        {
          "$ref": "#/components/schemas/SourceSchema"
        },
        {
          "description": "<p>Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.</p> <p>Also used to describe the format of the reference data source.</p>"
        }
      ]
    }
  },
  "required": [
    "NamePrefix",
    "InputSchema"
  ]
}

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