software.amazon.awscdk.services.kinesisanalytics

Interface CfnApplicationV2.ParallelismConfigurationProperty

All Known Implementing Classes:

CfnApplicationV2.ParallelismConfigurationProperty.Jsii$Proxy

Enclosing class:

CfnApplicationV2

public static interface CfnApplicationV2.ParallelismConfigurationProperty

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

For more information about parallelism, see Parallel Execution in the Apache Flink Documentation .

Example:

 // The code below shows an example of how to instantiate this type.
 // The values are placeholders you should change.
 import software.amazon.awscdk.services.kinesisanalytics.*;
 ParallelismConfigurationProperty parallelismConfigurationProperty = ParallelismConfigurationProperty.builder()
         .configurationType("configurationType")
         // the properties below are optional
         .autoScalingEnabled(false)
         .parallelism(123)
         .parallelismPerKpu(123)
         .build();
 

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static class	CfnApplicationV2.ParallelismConfigurationProperty.Builder A builder for CfnApplicationV2.ParallelismConfigurationProperty
static class	CfnApplicationV2.ParallelismConfigurationProperty.Jsii$Proxy An implementation for CfnApplicationV2.ParallelismConfigurationProperty

Method Summary

Modifier and Type	Method and Description
static CfnApplicationV2.ParallelismConfigurationProperty.Builder	builder()
default java.lang.Object	getAutoScalingEnabled() Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
java.lang.String	getConfigurationType() Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
default java.lang.Number	getParallelism() Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform.
default java.lang.Number	getParallelismPerKpu() Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.

Method Detail

getConfigurationType

java.lang.String getConfigurationType()

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.

getAutoScalingEnabled

default java.lang.Object getAutoScalingEnabled()

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

getParallelism

default java.lang.Number getParallelism()

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

The Kinesis Data Analytics service can increase this number automatically if ParallelismConfiguration:AutoScalingEnabled is set to true .

getParallelismPerKpu

default java.lang.Number getParallelismPerKpu()

Describes the number of parallel tasks that a Java-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 .

builder

static CfnApplicationV2.ParallelismConfigurationProperty.Builder builder()

Returns:

a CfnApplicationV2.ParallelismConfigurationProperty.Builder of CfnApplicationV2.ParallelismConfigurationProperty