ParallelismConfigurationUpdate is a JSON Structure definition published by Amazon Managed Service for Apache Flink, describing 4 properties. It conforms to the https://json-structure.org/meta/core/v0/# meta-schema.
{
"$schema": "https://json-structure.org/meta/core/v0/#",
"$id": "https://raw.githubusercontent.com/api-evangelist/amazon-managed-apache-flink/refs/heads/main/json-structure/amazon-managed-apache-flink-parallelism-configuration-update-structure.json",
"name": "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."
}
]
}
}
}
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