pulumi-aws-native-kotlin/com.pulumi.awsnative.kinesisanalyticsv2.kotlin.inputs/ApplicationParallelismConfigurationArgs

ApplicationParallelismConfigurationArgs

data class ApplicationParallelismConfigurationArgs(val autoScalingEnabled: Output<Boolean>? = null, val configurationType: Output<ApplicationParallelismConfigurationConfigurationType>, val parallelism: Output<Int>? = null, val parallelismPerKpu: Output<Int>? = null) : ConvertibleToJava<ApplicationParallelismConfigurationArgs>

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

Constructors

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fun ApplicationParallelismConfigurationArgs(autoScalingEnabled: Output<Boolean>? = null, configurationType: Output<ApplicationParallelismConfigurationConfigurationType>, parallelism: Output<Int>? = null, parallelismPerKpu: Output<Int>? = null)

Functions

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open override fun toJava(): ApplicationParallelismConfigurationArgs

Properties

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val autoScalingEnabled: Output<Boolean>? = null

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

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val configurationType: Output<ApplicationParallelismConfigurationConfigurationType>

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.

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val parallelism: Output<Int>? = null

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.

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val parallelismPerKpu: Output<Int>? = null

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.