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Class: Aws::KinesisAnalyticsV2::Types::ParallelismConfigurationUpdate

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing ParallelismConfigurationUpdate as input to an Aws::Client method, you can use a vanilla Hash:

{
  configuration_type_update: "DEFAULT", # accepts DEFAULT, CUSTOM
  parallelism_update: 1,
  parallelism_per_kpu_update: 1,
  auto_scaling_enabled_update: false,
}

Describes updates to parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously.

Returned by:

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#auto_scaling_enabled_update ⇒ Boolean

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

Returns:

  • (Boolean) —

    Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

#configuration_type_update ⇒ String

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.

Possible values:

  • DEFAULT
  • CUSTOM

Returns:

  • (String) —

    Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used.

#parallelism_per_kpu_update ⇒ Integer

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

Returns:

  • (Integer) —

    Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

#parallelism_update ⇒ Integer

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.

Returns:

  • (Integer) —

    Describes updates to the initial number of parallel tasks an application can perform.