class Aws::KinesisAnalyticsV2::Types::ParallelismConfigurationUpdate
Describes updates to parameters for how an application executes multiple tasks simultaneously.
@note When making an API call, you may pass ParallelismConfigurationUpdate
data as a hash: { configuration_type_update: "DEFAULT", # accepts DEFAULT, CUSTOM parallelism_update: 1, parallelism_per_kpu_update: 1, auto_scaling_enabled_update: false, }
@!attribute [rw] configuration_type_update
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 `CUSTOM` in order to change your application's `AutoScalingEnabled`, `Parallelism`, or `ParallelismPerKPU` properties. @return [String]
@!attribute [rw] parallelism_update
Describes updates to the initial number of parallel tasks an application can perform. If `AutoScalingEnabled` is set to True, then Kinesis Data Analytics can increase the `CurrentParallelism` value in response to application load. The service can increase `CurrentParallelism` up to the maximum parallelism, which is `ParalellismPerKPU` 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 `CurrentParallelism` down to the `Parallelism` setting. @return [Integer]
@!attribute [rw] parallelism_per_kpu_update
Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application. @return [Integer]
@!attribute [rw] auto_scaling_enabled_update
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. @return [Boolean]
@see docs.aws.amazon.com/goto/WebAPI/kinesisanalyticsv2-2018-05-23/ParallelismConfigurationUpdate AWS API Documentation
Constants
- SENSITIVE