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com.pulumi.azure.datafactory.kotlin.outputs.LinkedServiceAzureDatabricksInstancePool.kt Maven / Gradle / Ivy

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

package com.pulumi.azure.datafactory.kotlin.outputs

import kotlin.Int
import kotlin.String
import kotlin.Suppress

/**
 *
 * @property clusterVersion Spark version of a the cluster.
 * @property instancePoolId Identifier of the instance pool within the linked ADB instance.
 * @property maxNumberOfWorkers The max number of worker nodes. Set this value if you want to enable autoscaling between the `min_number_of_workers` and this value. Omit this value to use a fixed number of workers defined in the `min_number_of_workers` property.
 * @property minNumberOfWorkers The minimum number of worker nodes. Defaults to `1`.
 */
public data class LinkedServiceAzureDatabricksInstancePool(
    public val clusterVersion: String,
    public val instancePoolId: String,
    public val maxNumberOfWorkers: Int? = null,
    public val minNumberOfWorkers: Int? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.azure.datafactory.outputs.LinkedServiceAzureDatabricksInstancePool): LinkedServiceAzureDatabricksInstancePool = LinkedServiceAzureDatabricksInstancePool(
            clusterVersion = javaType.clusterVersion(),
            instancePoolId = javaType.instancePoolId(),
            maxNumberOfWorkers = javaType.maxNumberOfWorkers().map({ args0 -> args0 }).orElse(null),
            minNumberOfWorkers = javaType.minNumberOfWorkers().map({ args0 -> args0 }).orElse(null),
        )
    }
}




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