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Class: Aws::KinesisAnalyticsV2::Types::ParallelismConfigurationDescription

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

Overview

Describes 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 ⇒ Boolean

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

Returns:

  • (Boolean) —

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

#configuration_type ⇒ String

Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.

Possible values:

  • DEFAULT
  • CUSTOM

Returns:

  • (String) —

    Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.

#current_parallelism ⇒ Integer

Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If AutoScalingEnabled 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 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 can reduce the CurrentParallelism value down to the Parallelism setting.

Returns:

  • (Integer) —

    Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform.

#parallelism ⇒ Integer

Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics 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 can reduce the CurrentParallelism value down to the Parallelism setting.

Returns:

  • (Integer) —

    Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform.

#parallelism_per_kpu ⇒ Integer

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.

Returns:

  • (Integer) —

    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.