AWS Kinesis · Schema
ParallelismConfigurationUpdate
Describes updates to parameters for how an application executes multiple tasks simultaneously.
AnalyticsApache FlinkBig DataData ProcessingReal-TimeStreamingVideo
Properties
| Name | Type | Description |
|---|---|---|
| ConfigurationTypeUpdate | object | |
| ParallelismUpdate | object | |
| ParallelismPerKPUUpdate | object | |
| AutoScalingEnabledUpdate | object |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/ParallelismConfigurationUpdate",
"title": "ParallelismConfigurationUpdate",
"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."
}
]
}
},
"description": "Describes updates to parameters for how an application executes multiple tasks simultaneously."
}
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