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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.
@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.WorkflowTemplatePlacementManagedClusterConfigArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.List
import kotlin.jvm.JvmName
/**
*
* @property autoscalingConfig Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
* @property encryptionConfig Encryption settings for the cluster.
* @property endpointConfig Port/endpoint configuration for this cluster
* @property gceClusterConfig The shared Compute Engine config settings for all instances in a cluster.
* @property gkeClusterConfig The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as `gce_cluster_config`, `master_config`, `worker_config`, `secondary_worker_config`, and `autoscaling_config`.
* @property initializationActions Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's `role` metadata to run an executable on a master or worker node, as shown below using `curl` (you can also use `wget`): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if ; then ... master specific actions ... else ... worker specific actions ... fi
* @property lifecycleConfig Lifecycle setting for the cluster.
* @property masterConfig The Compute Engine config settings for additional worker instances in a cluster.
* @property metastoreConfig Metastore configuration.
* @property secondaryWorkerConfig The Compute Engine config settings for additional worker instances in a cluster.
* @property securityConfig Security settings for the cluster.
* @property softwareConfig The config settings for software inside the cluster.
* @property stagingBucket A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)).
* @property tempBucket A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket.
* @property workerConfig The Compute Engine config settings for additional worker instances in a cluster.
* - - -
*/
public data class WorkflowTemplatePlacementManagedClusterConfigArgs(
public val autoscalingConfig: Output? = null,
public val encryptionConfig: Output? = null,
public val endpointConfig: Output? = null,
public val gceClusterConfig: Output? = null,
public val gkeClusterConfig: Output? = null,
public val initializationActions: Output>? = null,
public val lifecycleConfig: Output? = null,
public val masterConfig: Output? =
null,
public val metastoreConfig: Output? = null,
public val secondaryWorkerConfig: Output? = null,
public val securityConfig: Output? = null,
public val softwareConfig: Output? = null,
public val stagingBucket: Output? = null,
public val tempBucket: Output? = null,
public val workerConfig: Output? =
null,
) :
ConvertibleToJava {
override fun toJava(): com.pulumi.gcp.dataproc.inputs.WorkflowTemplatePlacementManagedClusterConfigArgs =
com.pulumi.gcp.dataproc.inputs.WorkflowTemplatePlacementManagedClusterConfigArgs.builder()
.autoscalingConfig(autoscalingConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.encryptionConfig(encryptionConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.endpointConfig(endpointConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.gceClusterConfig(gceClusterConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.gkeClusterConfig(gkeClusterConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.initializationActions(
initializationActions?.applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 -> args0.toJava() })
})
}),
)
.lifecycleConfig(lifecycleConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.masterConfig(masterConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.metastoreConfig(metastoreConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.secondaryWorkerConfig(
secondaryWorkerConfig?.applyValue({ args0 ->
args0.let({ args0 ->
args0.toJava()
})
}),
)
.securityConfig(securityConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.softwareConfig(softwareConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.stagingBucket(stagingBucket?.applyValue({ args0 -> args0 }))
.tempBucket(tempBucket?.applyValue({ args0 -> args0 }))
.workerConfig(workerConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) })).build()
}
/**
* Builder for [WorkflowTemplatePlacementManagedClusterConfigArgs].
*/
@PulumiTagMarker
public class WorkflowTemplatePlacementManagedClusterConfigArgsBuilder internal constructor() {
private var autoscalingConfig:
Output? = null
private var encryptionConfig:
Output? = null
private var endpointConfig:
Output? = null
private var gceClusterConfig:
Output? = null
private var gkeClusterConfig:
Output? = null
private var initializationActions:
Output>? = null
private var lifecycleConfig:
Output? = null
private var masterConfig: Output? =
null
private var metastoreConfig:
Output? = null
private var secondaryWorkerConfig:
Output? = null
private var securityConfig:
Output? = null
private var softwareConfig:
Output? = null
private var stagingBucket: Output? = null
private var tempBucket: Output? = null
private var workerConfig: Output? =
null
/**
* @param value Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
*/
@JvmName("erqaaowreatitmgu")
public suspend fun autoscalingConfig(`value`: Output) {
this.autoscalingConfig = value
}
/**
* @param value Encryption settings for the cluster.
*/
@JvmName("wkjgyushtadxjoth")
public suspend fun encryptionConfig(`value`: Output) {
this.encryptionConfig = value
}
/**
* @param value Port/endpoint configuration for this cluster
*/
@JvmName("lhfibtkxydqrafyd")
public suspend fun endpointConfig(`value`: Output) {
this.endpointConfig = value
}
/**
* @param value The shared Compute Engine config settings for all instances in a cluster.
*/
@JvmName("yeuvylofwjwaylbu")
public suspend fun gceClusterConfig(`value`: Output) {
this.gceClusterConfig = value
}
/**
* @param value The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as `gce_cluster_config`, `master_config`, `worker_config`, `secondary_worker_config`, and `autoscaling_config`.
*/
@JvmName("nbbiqcpjqdakalub")
public suspend fun gkeClusterConfig(`value`: Output) {
this.gkeClusterConfig = value
}
/**
* @param value Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's `role` metadata to run an executable on a master or worker node, as shown below using `curl` (you can also use `wget`): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if ; then ... master specific actions ... else ... worker specific actions ... fi
*/
@JvmName("rknakvyvcvvybycn")
public suspend fun initializationActions(`value`: Output>) {
this.initializationActions = value
}
@JvmName("kkeejomgkdehmohr")
public suspend fun initializationActions(vararg values: Output) {
this.initializationActions = Output.all(values.asList())
}
/**
* @param values Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's `role` metadata to run an executable on a master or worker node, as shown below using `curl` (you can also use `wget`): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if ; then ... master specific actions ... else ... worker specific actions ... fi
*/
@JvmName("nbjgxgjshqimkeam")
public suspend fun initializationActions(values: List>) {
this.initializationActions = Output.all(values)
}
/**
* @param value Lifecycle setting for the cluster.
*/
@JvmName("agmjigjjtewvkfku")
public suspend fun lifecycleConfig(`value`: Output) {
this.lifecycleConfig = value
}
/**
* @param value The Compute Engine config settings for additional worker instances in a cluster.
*/
@JvmName("mxqulwgauuyejolt")
public suspend fun masterConfig(`value`: Output) {
this.masterConfig = value
}
/**
* @param value Metastore configuration.
*/
@JvmName("qkugexhsohnqixfp")
public suspend fun metastoreConfig(`value`: Output) {
this.metastoreConfig = value
}
/**
* @param value The Compute Engine config settings for additional worker instances in a cluster.
*/
@JvmName("tepbjgrqxqqsswrr")
public suspend fun secondaryWorkerConfig(`value`: Output) {
this.secondaryWorkerConfig = value
}
/**
* @param value Security settings for the cluster.
*/
@JvmName("tygifloxvtkbqapp")
public suspend fun securityConfig(`value`: Output) {
this.securityConfig = value
}
/**
* @param value The config settings for software inside the cluster.
*/
@JvmName("xsphkukftchinvoh")
public suspend fun softwareConfig(`value`: Output) {
this.softwareConfig = value
}
/**
* @param value A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)).
*/
@JvmName("hfcrxfufncbnciju")
public suspend fun stagingBucket(`value`: Output) {
this.stagingBucket = value
}
/**
* @param value A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket.
*/
@JvmName("cnufjauyhxvdmnoc")
public suspend fun tempBucket(`value`: Output) {
this.tempBucket = value
}
/**
* @param value The Compute Engine config settings for additional worker instances in a cluster.
* - - -
*/
@JvmName("brlvlqijddocgeow")
public suspend fun workerConfig(`value`: Output) {
this.workerConfig = value
}
/**
* @param value Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
*/
@JvmName("bsggdfjfmhuojqfv")
public suspend fun autoscalingConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigAutoscalingConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.autoscalingConfig = mapped
}
/**
* @param argument Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
*/
@JvmName("npkjjtbdminnceer")
public suspend fun autoscalingConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigAutoscalingConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigAutoscalingConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.autoscalingConfig = mapped
}
/**
* @param value Encryption settings for the cluster.
*/
@JvmName("wmlchfpiocrhnure")
public suspend fun encryptionConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigEncryptionConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.encryptionConfig = mapped
}
/**
* @param argument Encryption settings for the cluster.
*/
@JvmName("twsoonlyshrtmrcd")
public suspend fun encryptionConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigEncryptionConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigEncryptionConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.encryptionConfig = mapped
}
/**
* @param value Port/endpoint configuration for this cluster
*/
@JvmName("egkbvfipmjupcjef")
public suspend fun endpointConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigEndpointConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.endpointConfig = mapped
}
/**
* @param argument Port/endpoint configuration for this cluster
*/
@JvmName("bpakvtannybhjxts")
public suspend fun endpointConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigEndpointConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigEndpointConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.endpointConfig = mapped
}
/**
* @param value The shared Compute Engine config settings for all instances in a cluster.
*/
@JvmName("ipghxpfmxebtcxaw")
public suspend fun gceClusterConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigGceClusterConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.gceClusterConfig = mapped
}
/**
* @param argument The shared Compute Engine config settings for all instances in a cluster.
*/
@JvmName("urlkvvpvumqvuqbh")
public suspend fun gceClusterConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigGceClusterConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigGceClusterConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.gceClusterConfig = mapped
}
/**
* @param value The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as `gce_cluster_config`, `master_config`, `worker_config`, `secondary_worker_config`, and `autoscaling_config`.
*/
@JvmName("wpsurfxpcbpkifqe")
public suspend fun gkeClusterConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigGkeClusterConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.gkeClusterConfig = mapped
}
/**
* @param argument The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as `gce_cluster_config`, `master_config`, `worker_config`, `secondary_worker_config`, and `autoscaling_config`.
*/
@JvmName("tcepnwiqtubvwqfr")
public suspend fun gkeClusterConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigGkeClusterConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigGkeClusterConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.gkeClusterConfig = mapped
}
/**
* @param value Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's `role` metadata to run an executable on a master or worker node, as shown below using `curl` (you can also use `wget`): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if ; then ... master specific actions ... else ... worker specific actions ... fi
*/
@JvmName("ragutoxkcnovjaem")
public suspend fun initializationActions(`value`: List?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.initializationActions = mapped
}
/**
* @param argument Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's `role` metadata to run an executable on a master or worker node, as shown below using `curl` (you can also use `wget`): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if ; then ... master specific actions ... else ... worker specific actions ... fi
*/
@JvmName("nancvygajakendwp")
public suspend fun initializationActions(argument: List Unit>) {
val toBeMapped = argument.toList().map {
WorkflowTemplatePlacementManagedClusterConfigInitializationActionArgsBuilder().applySuspend {
it()
}.build()
}
val mapped = of(toBeMapped)
this.initializationActions = mapped
}
/**
* @param argument Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's `role` metadata to run an executable on a master or worker node, as shown below using `curl` (you can also use `wget`): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if ; then ... master specific actions ... else ... worker specific actions ... fi
*/
@JvmName("cmutpjrilsiewkfd")
public suspend fun initializationActions(vararg argument: suspend WorkflowTemplatePlacementManagedClusterConfigInitializationActionArgsBuilder.() -> Unit) {
val toBeMapped = argument.toList().map {
WorkflowTemplatePlacementManagedClusterConfigInitializationActionArgsBuilder().applySuspend {
it()
}.build()
}
val mapped = of(toBeMapped)
this.initializationActions = mapped
}
/**
* @param argument Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's `role` metadata to run an executable on a master or worker node, as shown below using `curl` (you can also use `wget`): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if ; then ... master specific actions ... else ... worker specific actions ... fi
*/
@JvmName("duvhiilmwnajwjlg")
public suspend fun initializationActions(argument: suspend WorkflowTemplatePlacementManagedClusterConfigInitializationActionArgsBuilder.() -> Unit) {
val toBeMapped =
listOf(
WorkflowTemplatePlacementManagedClusterConfigInitializationActionArgsBuilder().applySuspend
{ argument() }.build(),
)
val mapped = of(toBeMapped)
this.initializationActions = mapped
}
/**
* @param values Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's `role` metadata to run an executable on a master or worker node, as shown below using `curl` (you can also use `wget`): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if ; then ... master specific actions ... else ... worker specific actions ... fi
*/
@JvmName("jtloqkqawfhmfqvr")
public suspend fun initializationActions(vararg values: WorkflowTemplatePlacementManagedClusterConfigInitializationActionArgs) {
val toBeMapped = values.toList()
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.initializationActions = mapped
}
/**
* @param value Lifecycle setting for the cluster.
*/
@JvmName("arfycsmkyrpwfodj")
public suspend fun lifecycleConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigLifecycleConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.lifecycleConfig = mapped
}
/**
* @param argument Lifecycle setting for the cluster.
*/
@JvmName("nchfottjvmpraudg")
public suspend fun lifecycleConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigLifecycleConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigLifecycleConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.lifecycleConfig = mapped
}
/**
* @param value The Compute Engine config settings for additional worker instances in a cluster.
*/
@JvmName("uclxadxvotyqvwrw")
public suspend fun masterConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigMasterConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.masterConfig = mapped
}
/**
* @param argument The Compute Engine config settings for additional worker instances in a cluster.
*/
@JvmName("toogxoyuytmspdog")
public suspend fun masterConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigMasterConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigMasterConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.masterConfig = mapped
}
/**
* @param value Metastore configuration.
*/
@JvmName("qnwxynkoagoviyqa")
public suspend fun metastoreConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigMetastoreConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.metastoreConfig = mapped
}
/**
* @param argument Metastore configuration.
*/
@JvmName("bfeawmwqariitigy")
public suspend fun metastoreConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigMetastoreConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigMetastoreConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.metastoreConfig = mapped
}
/**
* @param value The Compute Engine config settings for additional worker instances in a cluster.
*/
@JvmName("iavjioliwrrmpaob")
public suspend fun secondaryWorkerConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigSecondaryWorkerConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.secondaryWorkerConfig = mapped
}
/**
* @param argument The Compute Engine config settings for additional worker instances in a cluster.
*/
@JvmName("arxqxudxqqdtwkna")
public suspend fun secondaryWorkerConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigSecondaryWorkerConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigSecondaryWorkerConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.secondaryWorkerConfig = mapped
}
/**
* @param value Security settings for the cluster.
*/
@JvmName("tqpouqmfhaqpetsp")
public suspend fun securityConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigSecurityConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.securityConfig = mapped
}
/**
* @param argument Security settings for the cluster.
*/
@JvmName("tkakurpkwkrsnkod")
public suspend fun securityConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigSecurityConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigSecurityConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.securityConfig = mapped
}
/**
* @param value The config settings for software inside the cluster.
*/
@JvmName("drqcklelqpuwbcwg")
public suspend fun softwareConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigSoftwareConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.softwareConfig = mapped
}
/**
* @param argument The config settings for software inside the cluster.
*/
@JvmName("tvxqemdiwdrhocqj")
public suspend fun softwareConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigSoftwareConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigSoftwareConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.softwareConfig = mapped
}
/**
* @param value A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)).
*/
@JvmName("xhhqonqnayqveogb")
public suspend fun stagingBucket(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.stagingBucket = mapped
}
/**
* @param value A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket.
*/
@JvmName("hqgyowdxkyebrxqb")
public suspend fun tempBucket(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.tempBucket = mapped
}
/**
* @param value The Compute Engine config settings for additional worker instances in a cluster.
* - - -
*/
@JvmName("pfrqbioyqnqyepoc")
public suspend fun workerConfig(`value`: WorkflowTemplatePlacementManagedClusterConfigWorkerConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.workerConfig = mapped
}
/**
* @param argument The Compute Engine config settings for additional worker instances in a cluster.
* - - -
*/
@JvmName("sjkidhynpyghkddg")
public suspend fun workerConfig(argument: suspend WorkflowTemplatePlacementManagedClusterConfigWorkerConfigArgsBuilder.() -> Unit) {
val toBeMapped =
WorkflowTemplatePlacementManagedClusterConfigWorkerConfigArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.workerConfig = mapped
}
internal fun build(): WorkflowTemplatePlacementManagedClusterConfigArgs =
WorkflowTemplatePlacementManagedClusterConfigArgs(
autoscalingConfig = autoscalingConfig,
encryptionConfig = encryptionConfig,
endpointConfig = endpointConfig,
gceClusterConfig = gceClusterConfig,
gkeClusterConfig = gkeClusterConfig,
initializationActions = initializationActions,
lifecycleConfig = lifecycleConfig,
masterConfig = masterConfig,
metastoreConfig = metastoreConfig,
secondaryWorkerConfig = secondaryWorkerConfig,
securityConfig = securityConfig,
softwareConfig = softwareConfig,
stagingBucket = stagingBucket,
tempBucket = tempBucket,
workerConfig = workerConfig,
)
}
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