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clients/google-api-services-dataproc/v1/2.0.0/README.md

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@@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-dataproc</artifactId>
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<version>v1-rev20260509-2.0.0</version>
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<version>v1-rev20260524-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
@@ -35,7 +35,7 @@ repositories {
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-dataproc:v1-rev20260509-2.0.0'
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implementation 'com.google.apis:google-api-services-dataproc:v1-rev20260524-2.0.0'
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}
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```
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clients/google-api-services-dataproc/v1/2.0.0/com/google/api/services/dataproc/Dataproc.java

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clients/google-api-services-dataproc/v1/2.0.0/com/google/api/services/dataproc/model/AcceleratorConfig.java

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@@ -43,10 +43,10 @@ public final class AcceleratorConfig extends com.google.api.client.json.GenericJ
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* (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.goo
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* gleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4
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* projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4 nvidia-tesla-t4Auto Zone
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* Exception: If you are using the Dataproc Auto Zone Placement
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* Exception: If you are using Auto Zone Placement
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* (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-
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* zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type
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* resource, for example, nvidia-tesla-t4.
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* zone#using_auto_zone_placement), you must use the short name of the accelerator type resource,
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* for example, nvidia-tesla-t4.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
@@ -75,10 +75,10 @@ public AcceleratorConfig setAcceleratorCount(java.lang.Integer acceleratorCount)
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* (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.goo
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* gleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4
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* projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4 nvidia-tesla-t4Auto Zone
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* Exception: If you are using the Dataproc Auto Zone Placement
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* Exception: If you are using Auto Zone Placement
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* (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-
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* zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type
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* resource, for example, nvidia-tesla-t4.
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* zone#using_auto_zone_placement), you must use the short name of the accelerator type resource,
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* for example, nvidia-tesla-t4.
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* @return value or {@code null} for none
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*/
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public java.lang.String getAcceleratorTypeUri() {
@@ -91,10 +91,10 @@ public java.lang.String getAcceleratorTypeUri() {
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* (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.goo
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* gleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4
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* projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4 nvidia-tesla-t4Auto Zone
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* Exception: If you are using the Dataproc Auto Zone Placement
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* Exception: If you are using Auto Zone Placement
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* (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-
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* zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type
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* resource, for example, nvidia-tesla-t4.
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* zone#using_auto_zone_placement), you must use the short name of the accelerator type resource,
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* for example, nvidia-tesla-t4.
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* @param acceleratorTypeUri acceleratorTypeUri or {@code null} for none
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*/
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public AcceleratorConfig setAcceleratorTypeUri(java.lang.String acceleratorTypeUri) {

clients/google-api-services-dataproc/v1/2.0.0/com/google/api/services/dataproc/model/AutoscalingConfig.java

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@@ -34,7 +34,7 @@ public final class AutoscalingConfig extends com.google.api.client.json.GenericJ
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* and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[proj
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* ect_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]
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* projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the
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* policy must be in the same project and Dataproc region.
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* policy must be in the same project and region.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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* and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[proj
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* ect_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]
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* projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the
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* policy must be in the same project and Dataproc region.
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* policy must be in the same project and region.
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* @return value or {@code null} for none
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*/
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public java.lang.String getPolicyUri() {
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* and location (region) are valid. Examples: https://www.googleapis.com/compute/v1/projects/[proj
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* ect_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]
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* projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the
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* policy must be in the same project and Dataproc region.
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* policy must be in the same project and region.
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* @param policyUri policyUri or {@code null} for none
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*/
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public AutoscalingConfig setPolicyUri(java.lang.String policyUri) {

clients/google-api-services-dataproc/v1/2.0.0/com/google/api/services/dataproc/model/Cluster.java

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package com.google.api.services.dataproc.model;
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/**
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* Describes the identifying information, config, and status of a Dataproc cluster
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* Describes the identifying information, config, and status of a cluster
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Cloud Dataproc API. For a detailed explanation see:
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private java.lang.String clusterName;
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/**
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* Output only. A cluster UUID (Unique Universal Identifier). Dataproc generates this value when
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* it creates the cluster.
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* Output only. A cluster UUID (Unique Universal Identifier). The service generates this value
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* when it creates the cluster.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.String clusterUuid;
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/**
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* Optional. The cluster config for a cluster of Compute Engine Instances. Note that Dataproc may
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* set default values, and values may change when clusters are updated.Exactly one of
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* Optional. The cluster config for a cluster of Compute Engine Instances. Note that the service
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* may set default values, and values may change when clusters are updated.Exactly one of
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* ClusterConfig or VirtualClusterConfig must be specified.
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* The value may be {@code null}.
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*/
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private java.util.List<ClusterStatus> statusHistory;
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/**
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* Optional. The virtual cluster config is used when creating a Dataproc cluster that does not
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* directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE
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* cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc
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* may set default values, and values may change when clusters are updated. Exactly one of config
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* or virtual_cluster_config must be specified.
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* Optional. The virtual cluster config is used when creating a cluster that does not directly
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* control the underlying compute resources, for example, when creating a GKE cluster
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* (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). the service may
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* set default values, and values may change when clusters are updated. Exactly one of config or
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* virtual_cluster_config must be specified.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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}
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/**
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* Output only. A cluster UUID (Unique Universal Identifier). Dataproc generates this value when
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* it creates the cluster.
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* Output only. A cluster UUID (Unique Universal Identifier). The service generates this value
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* when it creates the cluster.
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* @return value or {@code null} for none
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*/
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public java.lang.String getClusterUuid() {
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return clusterUuid;
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}
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/**
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* Output only. A cluster UUID (Unique Universal Identifier). Dataproc generates this value when
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* it creates the cluster.
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* Output only. A cluster UUID (Unique Universal Identifier). The service generates this value
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* when it creates the cluster.
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* @param clusterUuid clusterUuid or {@code null} for none
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*/
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public Cluster setClusterUuid(java.lang.String clusterUuid) {
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}
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/**
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* Optional. The cluster config for a cluster of Compute Engine Instances. Note that Dataproc may
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* set default values, and values may change when clusters are updated.Exactly one of
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* Optional. The cluster config for a cluster of Compute Engine Instances. Note that the service
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* may set default values, and values may change when clusters are updated.Exactly one of
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* ClusterConfig or VirtualClusterConfig must be specified.
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* @return value or {@code null} for none
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*/
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/**
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* Optional. The cluster config for a cluster of Compute Engine Instances. Note that Dataproc may
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* set default values, and values may change when clusters are updated.Exactly one of
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* Optional. The cluster config for a cluster of Compute Engine Instances. Note that the service
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* may set default values, and values may change when clusters are updated.Exactly one of
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* ClusterConfig or VirtualClusterConfig must be specified.
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* @param config config or {@code null} for none
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/**
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* Optional. The virtual cluster config is used when creating a Dataproc cluster that does not
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* directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE
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* cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc
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* may set default values, and values may change when clusters are updated. Exactly one of config
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* or virtual_cluster_config must be specified.
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* Optional. The virtual cluster config is used when creating a cluster that does not directly
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* control the underlying compute resources, for example, when creating a GKE cluster
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* (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). the service may
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* set default values, and values may change when clusters are updated. Exactly one of config or
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* virtual_cluster_config must be specified.
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* @return value or {@code null} for none
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public VirtualClusterConfig getVirtualClusterConfig() {
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/**
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* Optional. The virtual cluster config is used when creating a Dataproc cluster that does not
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* directly control the underlying compute resources, for example, when creating a Dataproc-on-GKE
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* cluster (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). Dataproc
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* may set default values, and values may change when clusters are updated. Exactly one of config
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* or virtual_cluster_config must be specified.
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* Optional. The virtual cluster config is used when creating a cluster that does not directly
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* control the underlying compute resources, for example, when creating a GKE cluster
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* (https://cloud.google.com/dataproc/docs/guides/dpgke/dataproc-gke-overview). the service may
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* set default values, and values may change when clusters are updated. Exactly one of config or
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* virtual_cluster_config must be specified.
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* @param virtualClusterConfig virtualClusterConfig or {@code null} for none
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*/
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public Cluster setVirtualClusterConfig(VirtualClusterConfig virtualClusterConfig) {

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