com.pulumi.gcp.dataproc.kotlin.inputs.AutoscalingPolicyWorkerConfigArgs.kt Maven / Gradle / Ivy

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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.
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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.gcp.dataproc.kotlin.inputs

import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.dataproc.inputs.AutoscalingPolicyWorkerConfigArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiNullFieldException
import com.pulumi.kotlin.PulumiTagMarker
import kotlin.Int
import kotlin.Suppress
import kotlin.jvm.JvmName

/**
 *
 * @property maxInstances Maximum number of instances for this group.
 * @property minInstances Minimum number of instances for this group. Bounds: [2, maxInstances]. Defaults to 2.
 * @property weight Weight for the instance group, which is used to determine the fraction of total workers
 * in the cluster from this instance group. For example, if primary workers have weight 2,
 * and secondary workers have weight 1, the cluster will have approximately 2 primary workers
 * for each secondary worker.
 * The cluster may not reach the specified balance if constrained by min/max bounds or other
 * autoscaling settings. For example, if maxInstances for secondary workers is 0, then only
 * primary workers will be added. The cluster can also be out of balance when created.
 * If weight is not set on any instance group, the cluster will default to equal weight for
 * all groups: the cluster will attempt to maintain an equal number of workers in each group
 * within the configured size bounds for each group. If weight is set for one group only,
 * the cluster will default to zero weight on the unset group. For example if weight is set
 * only on primary workers, the cluster will use primary workers only and no secondary workers.
 */
public data class AutoscalingPolicyWorkerConfigArgs(
    public val maxInstances: Output,
    public val minInstances: Output? = null,
    public val weight: Output? = null,
) : ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.dataproc.inputs.AutoscalingPolicyWorkerConfigArgs =
        com.pulumi.gcp.dataproc.inputs.AutoscalingPolicyWorkerConfigArgs.builder()
            .maxInstances(maxInstances.applyValue({ args0 -> args0 }))
            .minInstances(minInstances?.applyValue({ args0 -> args0 }))
            .weight(weight?.applyValue({ args0 -> args0 })).build()
}

/**
 * Builder for [AutoscalingPolicyWorkerConfigArgs].
 */
@PulumiTagMarker
public class AutoscalingPolicyWorkerConfigArgsBuilder internal constructor() {
    private var maxInstances: Output? = null

    private var minInstances: Output? = null

    private var weight: Output? = null

    /**
     * @param value Maximum number of instances for this group.
     */
    @JvmName("xoveeelfowvsrhoq")
    public suspend fun maxInstances(`value`: Output) {
        this.maxInstances = value
    }

    /**
     * @param value Minimum number of instances for this group. Bounds: [2, maxInstances]. Defaults to 2.
     */
    @JvmName("nhltusvhfmnjwxst")
    public suspend fun minInstances(`value`: Output) {
        this.minInstances = value
    }

    /**
     * @param value Weight for the instance group, which is used to determine the fraction of total workers
     * in the cluster from this instance group. For example, if primary workers have weight 2,
     * and secondary workers have weight 1, the cluster will have approximately 2 primary workers
     * for each secondary worker.
     * The cluster may not reach the specified balance if constrained by min/max bounds or other
     * autoscaling settings. For example, if maxInstances for secondary workers is 0, then only
     * primary workers will be added. The cluster can also be out of balance when created.
     * If weight is not set on any instance group, the cluster will default to equal weight for
     * all groups: the cluster will attempt to maintain an equal number of workers in each group
     * within the configured size bounds for each group. If weight is set for one group only,
     * the cluster will default to zero weight on the unset group. For example if weight is set
     * only on primary workers, the cluster will use primary workers only and no secondary workers.
     */
    @JvmName("wavlhhetnxbmbiuv")
    public suspend fun weight(`value`: Output) {
        this.weight = value
    }

    /**
     * @param value Maximum number of instances for this group.
     */
    @JvmName("dxntarnclspjoomk")
    public suspend fun maxInstances(`value`: Int) {
        val toBeMapped = value
        val mapped = toBeMapped.let({ args0 -> of(args0) })
        this.maxInstances = mapped
    }

    /**
     * @param value Minimum number of instances for this group. Bounds: [2, maxInstances]. Defaults to 2.
     */
    @JvmName("xpktegdhyvalnojr")
    public suspend fun minInstances(`value`: Int?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.minInstances = mapped
    }

    /**
     * @param value Weight for the instance group, which is used to determine the fraction of total workers
     * in the cluster from this instance group. For example, if primary workers have weight 2,
     * and secondary workers have weight 1, the cluster will have approximately 2 primary workers
     * for each secondary worker.
     * The cluster may not reach the specified balance if constrained by min/max bounds or other
     * autoscaling settings. For example, if maxInstances for secondary workers is 0, then only
     * primary workers will be added. The cluster can also be out of balance when created.
     * If weight is not set on any instance group, the cluster will default to equal weight for
     * all groups: the cluster will attempt to maintain an equal number of workers in each group
     * within the configured size bounds for each group. If weight is set for one group only,
     * the cluster will default to zero weight on the unset group. For example if weight is set
     * only on primary workers, the cluster will use primary workers only and no secondary workers.
     */
    @JvmName("ogxtxdnvqrrkwyvj")
    public suspend fun weight(`value`: Int?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.weight = mapped
    }

    internal fun build(): AutoscalingPolicyWorkerConfigArgs = AutoscalingPolicyWorkerConfigArgs(
        maxInstances = maxInstances ?: throw PulumiNullFieldException("maxInstances"),
        minInstances = minInstances,
        weight = weight,
    )
}