Package com.pulumi.aws.kinesisanalyticsv2.outputs

Class ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration

java.lang.Object

com.pulumi.aws.kinesisanalyticsv2.outputs.ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration

public final class ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration
extends java.lang.Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration.Builder

Method Summary

Modifier and Type	Method	Description
java.util.Optional<java.lang.Boolean>	autoScalingEnabled()
static ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration.Builder	builder()
static ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration.Builder	builder(ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration defaults)
java.lang.String	configurationType()
java.util.Optional<java.lang.Integer>	parallelism()
java.util.Optional<java.lang.Integer>	parallelismPerKpu()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

autoScalingEnabled

public java.util.Optional<java.lang.Boolean> autoScalingEnabled()

Returns:

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

configurationType

public java.lang.String configurationType()

Returns:

Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. Valid values: `CUSTOM`, `DEFAULT`. Set this attribute to `CUSTOM` in order for any specified `auto_scaling_enabled`, `parallelism`, or `parallelism_per_kpu` attribute values to be effective.

parallelism

public java.util.Optional<java.lang.Integer> parallelism()

Returns:

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

parallelismPerKpu

public java.util.Optional<java.lang.Integer> parallelismPerKpu()

Returns:

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.

builder

public static ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration.Builder builder()

builder

public static ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration.Builder builder(ApplicationApplicationConfigurationFlinkApplicationConfigurationParallelismConfiguration defaults)