NAME

Paws::KinesisAnalyticsV2::ParallelismConfigurationDescription

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::KinesisAnalyticsV2::ParallelismConfigurationDescription object:

  $service_obj->Method(Att1 => { AutoScalingEnabled => $value, ..., ParallelismPerKPU => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::KinesisAnalyticsV2::ParallelismConfigurationDescription object:

  $result = $service_obj->Method(...);
  $result->Att1->AutoScalingEnabled

DESCRIPTION

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

ATTRIBUTES

AutoScalingEnabled => Bool

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

ConfigurationType => Str

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

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.

Parallelism => Int

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.

ParallelismPerKPU => Int

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.

BUGS and CONTRIBUTIONS

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>