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Class: Aws::KinesisAnalyticsV2::Types::ParallelismConfiguration

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

Overview

Note:

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

{
  configuration_type: "DEFAULT", # required, accepts DEFAULT, CUSTOM
  parallelism: 1,
  parallelism_per_kpu: 1,
  auto_scaling_enabled: false,
}

Describes parameters for how a Flink-based Kinesis Data Analytics application application executes multiple tasks simultaneously. For more information about parallelism, see Parallel Execution in the Apache Flink Documentation.

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

#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, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism 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 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. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

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.