com.pulumi.awsnative.kinesisanalyticsv2.kotlin.outputs.ApplicationParallelismConfiguration.kt Maven / Gradle / Ivy

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.awsnative.kinesisanalyticsv2.kotlin.outputs

import com.pulumi.awsnative.kinesisanalyticsv2.kotlin.enums.ApplicationParallelismConfigurationConfigurationType
import kotlin.Boolean
import kotlin.Int
import kotlin.Suppress

/**
 * 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
 * @property autoScalingEnabled Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
 * @property configurationType 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.
 * @property parallelism 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.
 * @property parallelismPerKpu 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.
 */
public data class ApplicationParallelismConfiguration(
    public val autoScalingEnabled: Boolean? = null,
    public val configurationType: ApplicationParallelismConfigurationConfigurationType,
    public val parallelism: Int? = null,
    public val parallelismPerKpu: Int? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.awsnative.kinesisanalyticsv2.outputs.ApplicationParallelismConfiguration): ApplicationParallelismConfiguration = ApplicationParallelismConfiguration(
            autoScalingEnabled = javaType.autoScalingEnabled().map({ args0 -> args0 }).orElse(null),
            configurationType = javaType.configurationType().let({ args0 ->
                com.pulumi.awsnative.kinesisanalyticsv2.kotlin.enums.ApplicationParallelismConfigurationConfigurationType.Companion.toKotlin(args0)
            }),
            parallelism = javaType.parallelism().map({ args0 -> args0 }).orElse(null),
            parallelismPerKpu = javaType.parallelismPerKpu().map({ args0 -> args0 }).orElse(null),
        )
    }
}