AWS Kinesis · Schema
ParallelismConfigurationDescription
Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously.
AnalyticsApache FlinkBig DataData ProcessingReal-TimeStreamingVideo
Properties
| Name | Type | Description |
|---|---|---|
| ConfigurationType | object | |
| Parallelism | object | |
| ParallelismPerKPU | object | |
| CurrentParallelism | object | |
| AutoScalingEnabled | object |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/ParallelismConfigurationDescription",
"title": "ParallelismConfigurationDescription",
"type": "object",
"properties": {
"ConfigurationType": {
"allOf": [
{
"$ref": "#/components/schemas/ConfigurationType"
},
{
"description": "Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. "
}
]
},
"Parallelism": {
"allOf": [
{
"$ref": "#/components/schemas/Parallelism"
},
{
"description": "Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics 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 can reduce the <code>CurrentParallelism</code> value down to the <code>Parallelism</code> setting."
}
]
},
"ParallelismPerKPU": {
"allOf": [
{
"$ref": "#/components/schemas/ParallelismPerKPU"
},
{
"description": "Describes the number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application."
}
]
},
"CurrentParallelism": {
"allOf": [
{
"$ref": "#/components/schemas/Parallelism"
},
{
"description": "Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If <code>AutoScalingEnabled</code> is set to True, Kinesis Data Analytics can increase this value in response to application load. The service can increase this value 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 can reduce the <code>CurrentParallelism</code> value down to the <code>Parallelism</code> setting."
}
]
},
"AutoScalingEnabled": {
"allOf": [
{
"$ref": "#/components/schemas/BooleanObject"
},
{
"description": "Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput."
}
]
}
},
"description": "Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously."
}