ParallelismConfigurationUpdate

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/amazon-managed-apache-flink/refs/heads/main/json-schema/amazon-managed-apache-flink-parallelism-configuration-update-schema.json",
  "title": "ParallelismConfigurationUpdate",
  "description": "Describes updates to parameters for how an application executes multiple tasks simultaneously.",
  "type": "object",
  "properties": {
    "ConfigurationTypeUpdate": {
      "allOf": [
        {
          "$ref": "#/components/schemas/ConfigurationType"
        },
        {
          "description": "Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to <code>CUSTOM</code> in order to change your application's <code>AutoScalingEnabled</code>, <code>Parallelism</code>, or <code>ParallelismPerKPU</code> properties."
        }
      ]
    },
    "ParallelismUpdate": {
      "allOf": [
        {
          "$ref": "#/components/schemas/Parallelism"
        },
        {
          "description": "Describes updates to the initial number of parallel tasks an application can perform. If <code>AutoScalingEnabled</code> is set to True, then Kinesis Data Analytics can increase the <code>CurrentParallelism</code> value in response to application load. The service can increase <code>CurrentParallelism</code> up to the maximum parallelism, which is <code>ParalellismPerKPU</code> times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce <code>CurrentParallelism</code> down to the <code>Parallelism</code> setting."
        }
      ]
    },
    "ParallelismPerKPUUpdate": {
      "allOf": [
        {
          "$ref": "#/components/schemas/ParallelismPerKPU"
        },
        {
          "description": "Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application."
        }
      ]
    },
    "AutoScalingEnabledUpdate": {
      "allOf": [
        {
          "$ref": "#/components/schemas/BooleanObject"
        },
        {
          "description": "Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput."
        }
      ]
    }
  }
}