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

Go to download

Show more of this group Show more artifacts with this name
Show all versions of pulumi-azure-kotlin Show documentation

Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

There is a newer version: 6.14.0.0

Show newest version

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

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

import kotlin.Int
import kotlin.String
import kotlin.Suppress
import kotlin.collections.List
import kotlin.collections.Map

/**
 *
 * @property clusterVersion Spark version of a the cluster.
 * @property customTags Tags for the cluster resource.
 * @property driverNodeType Driver node type for the cluster.
 * @property initScripts User defined initialization scripts for the cluster.
 * @property logDestination Location to deliver Spark driver, worker, and event logs.
 * @property maxNumberOfWorkers Specifies the maximum number of worker nodes. It should be between 1 and 25000.
 * @property minNumberOfWorkers Specifies the minimum number of worker nodes. It should be between 1 and 25000. It defaults to `1`.
 * @property nodeType Node type for the new cluster.
 * @property sparkConfig User-specified Spark configuration variables key-value pairs.
 * @property sparkEnvironmentVariables User-specified Spark environment variables key-value pairs.
 */
public data class LinkedServiceAzureDatabricksNewClusterConfig(
    public val clusterVersion: String,
    public val customTags: Map? = null,
    public val driverNodeType: String? = null,
    public val initScripts: List? = null,
    public val logDestination: String? = null,
    public val maxNumberOfWorkers: Int? = null,
    public val minNumberOfWorkers: Int? = null,
    public val nodeType: String,
    public val sparkConfig: Map? = null,
    public val sparkEnvironmentVariables: Map? = null,
) {
    public companion object {
        public
        fun toKotlin(javaType: com.pulumi.azure.datafactory.outputs.LinkedServiceAzureDatabricksNewClusterConfig):
            LinkedServiceAzureDatabricksNewClusterConfig = LinkedServiceAzureDatabricksNewClusterConfig(
            clusterVersion = javaType.clusterVersion(),
            customTags = javaType.customTags().map({ args0 -> args0.key.to(args0.value) }).toMap(),
            driverNodeType = javaType.driverNodeType().map({ args0 -> args0 }).orElse(null),
            initScripts = javaType.initScripts().map({ args0 -> args0 }),
            logDestination = javaType.logDestination().map({ args0 -> args0 }).orElse(null),
            maxNumberOfWorkers = javaType.maxNumberOfWorkers().map({ args0 -> args0 }).orElse(null),
            minNumberOfWorkers = javaType.minNumberOfWorkers().map({ args0 -> args0 }).orElse(null),
            nodeType = javaType.nodeType(),
            sparkConfig = javaType.sparkConfig().map({ args0 -> args0.key.to(args0.value) }).toMap(),
            sparkEnvironmentVariables = javaType.sparkEnvironmentVariables().map({ args0 ->
                args0.key.to(args0.value)
            }).toMap(),
        )
    }
}