Deleting current code

1 files changed, 0 insertions, 341 deletions

diff --git a/third_party/googleapis/google/cloud/dataproc/v1/shared.proto b/third_party/googleapis/google/cloud/dataproc/v1/shared.proto
deleted file mode 100644
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--- a/third_party/googleapis/google/cloud/dataproc/v1/shared.proto
+++ /dev/null
@@ -1,341 +0,0 @@
-// Copyright 2022 Google LLC
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-syntax = "proto3";
-
-package google.cloud.dataproc.v1;
-
-import "google/api/field_behavior.proto";
-
-option go_package = "google.golang.org/genproto/googleapis/cloud/dataproc/v1;dataproc";
-option java_multiple_files = true;
-option java_outer_classname = "SharedProto";
-option java_package = "com.google.cloud.dataproc.v1";
-
-// Runtime configuration for a workload.
-message RuntimeConfig {
-  // Optional. Version of the batch runtime.
-  string version = 1 [(google.api.field_behavior) = OPTIONAL];
-
-  // Optional. Optional custom container image for the job runtime environment. If
-  // not specified, a default container image will be used.
-  string container_image = 2 [(google.api.field_behavior) = OPTIONAL];
-
-  // Optional. A mapping of property names to values, which are used to configure workload
-  // execution.
-  map<string, string> properties = 3 [(google.api.field_behavior) = OPTIONAL];
-}
-
-// Environment configuration for a workload.
-message EnvironmentConfig {
-  // Optional. Execution configuration for a workload.
-  ExecutionConfig execution_config = 1 [(google.api.field_behavior) = OPTIONAL];
-
-  // Optional. Peripherals configuration that workload has access to.
-  PeripheralsConfig peripherals_config = 2 [(google.api.field_behavior) = OPTIONAL];
-}
-
-// Execution configuration for a workload.
-message ExecutionConfig {
-  // Optional. Service account that used to execute workload.
-  string service_account = 2 [(google.api.field_behavior) = OPTIONAL];
-
-  // Network configuration for workload execution.
-  oneof network {
-    // Optional. Network URI to connect workload to.
-    string network_uri = 4 [(google.api.field_behavior) = OPTIONAL];
-
-    // Optional. Subnetwork URI to connect workload to.
-    string subnetwork_uri = 5 [(google.api.field_behavior) = OPTIONAL];
-  }
-
-  // Optional. Tags used for network traffic control.
-  repeated string network_tags = 6 [(google.api.field_behavior) = OPTIONAL];
-
-  // Optional. The Cloud KMS key to use for encryption.
-  string kms_key = 7 [(google.api.field_behavior) = OPTIONAL];
-}
-
-// Spark History Server configuration for the workload.
-message SparkHistoryServerConfig {
-  // Optional. Resource name of an existing Dataproc Cluster to act as a Spark History
-  // Server for the workload.
-  //
-  // Example:
-  //
-  // * `projects/[project_id]/regions/[region]/clusters/[cluster_name]`
-  string dataproc_cluster = 1 [
-    (google.api.field_behavior) = OPTIONAL
-  ];
-}
-
-// Auxiliary services configuration for a workload.
-message PeripheralsConfig {
-  // Optional. Resource name of an existing Dataproc Metastore service.
-  //
-  // Example:
-  //
-  // * `projects/[project_id]/locations/[region]/services/[service_id]`
-  string metastore_service = 1 [
-    (google.api.field_behavior) = OPTIONAL
-  ];
-
-  // Optional. The Spark History Server configuration for the workload.
-  SparkHistoryServerConfig spark_history_server_config = 2 [(google.api.field_behavior) = OPTIONAL];
-}
-
-// Runtime information about workload execution.
-message RuntimeInfo {
-  // Output only. Map of remote access endpoints (such as web interfaces and APIs) to their
-  // URIs.
-  map<string, string> endpoints = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. A URI pointing to the location of the stdout and stderr of the workload.
-  string output_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. A URI pointing to the location of the diagnostics tarball.
-  string diagnostic_output_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
-}
-
-// The cluster's GKE config.
-message GkeClusterConfig {
-  // Optional. A target GKE cluster to deploy to. It must be in the same project and
-  // region as the Dataproc cluster (the GKE cluster can be zonal or regional).
-  // Format: 'projects/{project}/locations/{location}/clusters/{cluster_id}'
-  string gke_cluster_target = 2 [
-    (google.api.field_behavior) = OPTIONAL
-  ];
-
-  // Optional. GKE NodePools where workloads will be scheduled. At least one node pool
-  // must be assigned the 'default' role. Each role can be given to only a
-  // single NodePoolTarget. All NodePools must have the same location settings.
-  // If a nodePoolTarget is not specified, Dataproc constructs a default
-  // nodePoolTarget.
-  repeated GkeNodePoolTarget node_pool_target = 3 [(google.api.field_behavior) = OPTIONAL];
-}
-
-// The configuration for running the Dataproc cluster on Kubernetes.
-message KubernetesClusterConfig {
-  // Optional. A namespace within the Kubernetes cluster to deploy into. If this namespace
-  // does not exist, it is created. If it exists, Dataproc
-  // verifies that another Dataproc VirtualCluster is not installed
-  // into it. If not specified, the name of the Dataproc Cluster is used.
-  string kubernetes_namespace = 1 [(google.api.field_behavior) = OPTIONAL];
-
-  oneof config {
-    // Required. The configuration for running the Dataproc cluster on GKE.
-    GkeClusterConfig gke_cluster_config = 2 [(google.api.field_behavior) = REQUIRED];
-  }
-
-  // Optional. The software configuration for this Dataproc cluster running on Kubernetes.
-  KubernetesSoftwareConfig kubernetes_software_config = 3 [(google.api.field_behavior) = OPTIONAL];
-}
-
-// The software configuration for this Dataproc cluster running on Kubernetes.
-message KubernetesSoftwareConfig {
-  // The components that should be installed in this Dataproc cluster. The key
-  // must be a string from the KubernetesComponent enumeration. The value is
-  // the version of the software to be installed.
-  // At least one entry must be specified.
-  map<string, string> component_version = 1;
-
-  // The properties to set on daemon config files.
-  //
-  // Property keys are specified in `prefix:property` format, for example
-  // `spark:spark.kubernetes.container.image`. The following are supported
-  // prefixes and their mappings:
-  //
-  // * spark:  `spark-defaults.conf`
-  //
-  // For more information, see [Cluster
-  // properties](https://cloud.google.com/dataproc/docs/concepts/cluster-properties).
-  map<string, string> properties = 2;
-}
-
-// GKE NodePools that Dataproc workloads run on.
-message GkeNodePoolTarget {
-  // `Role` specifies whose tasks will run on the NodePool. The roles can be
-  // specific to workloads. Exactly one GkeNodePoolTarget within the
-  // VirtualCluster must have 'default' role, which is used to run all workloads
-  // that are not associated with a NodePool.
-  enum Role {
-    // Role is unspecified.
-    ROLE_UNSPECIFIED = 0;
-
-    // Any roles that are not directly assigned to a NodePool run on the
-    // `default` role's NodePool.
-    DEFAULT = 1;
-
-    // Run controllers and webhooks.
-    CONTROLLER = 2;
-
-    // Run spark driver.
-    SPARK_DRIVER = 3;
-
-    // Run spark executors.
-    SPARK_EXECUTOR = 4;
-  }
-
-  // Required. The target GKE NodePool.
-  // Format:
-  // 'projects/{project}/locations/{location}/clusters/{cluster}/nodePools/{node_pool}'
-  string node_pool = 1 [
-    (google.api.field_behavior) = REQUIRED
-  ];
-
-  // Required. The types of role for a GKE NodePool
-  repeated Role roles = 2 [(google.api.field_behavior) = REQUIRED];
-
-  // Optional. The configuration for the GKE NodePool.
-  //
-  // If specified, Dataproc attempts to create a NodePool with the
-  // specified shape. If one with the same name already exists, it is
-  // verified against all specified fields. If a field differs, the
-  // virtual cluster creation will fail.
-  //
-  // If omitted, any NodePool with the specified name is used. If a
-  // NodePool with the specified name does not exist, Dataproc create a NodePool
-  // with default values.
-  GkeNodePoolConfig node_pool_config = 3 [(google.api.field_behavior) = OPTIONAL];
-}
-
-// The configuration of a GKE NodePool used by a [Dataproc-on-GKE
-// cluster](https://cloud.google.com/dataproc/docs/concepts/jobs/dataproc-gke#create-a-dataproc-on-gke-cluster).
-message GkeNodePoolConfig {
-  // Parameters that describe cluster nodes.
-  message GkeNodeConfig {
-    // Optional. The name of a Compute Engine [machine
-    // type](https://cloud.google.com/compute/docs/machine-types).
-    string machine_type = 1 [(google.api.field_behavior) = OPTIONAL];
-
-    // Optional. Whether the nodes are created as [preemptible VM
-    // instances](https://cloud.google.com/compute/docs/instances/preemptible).
-    bool preemptible = 10 [(google.api.field_behavior) = OPTIONAL];
-
-    // Optional. The number of local SSD disks to attach to the node, which is limited by
-    // the maximum number of disks allowable per zone (see [Adding Local
-    // SSDs](https://cloud.google.com/compute/docs/disks/local-ssd)).
-    int32 local_ssd_count = 7 [(google.api.field_behavior) = OPTIONAL];
-
-    // Optional. A list of [hardware
-    // accelerators](https://cloud.google.com/compute/docs/gpus) to attach to
-    // each node.
-    repeated GkeNodePoolAcceleratorConfig accelerators = 11 [(google.api.field_behavior) = OPTIONAL];
-
-    // Optional. [Minimum CPU
-    // platform](https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform)
-    // to be used by this instance. The instance may be scheduled on the
-    // specified or a newer CPU platform. Specify the friendly names of CPU
-    // platforms, such as "Intel Haswell"` or Intel Sandy Bridge".
-    string min_cpu_platform = 13 [(google.api.field_behavior) = OPTIONAL];
-  }
-
-  // A GkeNodeConfigAcceleratorConfig represents a Hardware Accelerator request
-  // for a NodePool.
-  message GkeNodePoolAcceleratorConfig {
-    // The number of accelerator cards exposed to an instance.
-    int64 accelerator_count = 1;
-
-    // The accelerator type resource namename (see GPUs on Compute Engine).
-    string accelerator_type = 2;
-  }
-
-  // GkeNodePoolAutoscaling contains information the cluster autoscaler needs to
-  // adjust the size of the node pool to the current cluster usage.
-  message GkeNodePoolAutoscalingConfig {
-    // The minimum number of nodes in the NodePool. Must be >= 0 and <=
-    // max_node_count.
-    int32 min_node_count = 2;
-
-    // The maximum number of nodes in the NodePool. Must be >= min_node_count.
-    // **Note:** Quota must be sufficient to scale up the cluster.
-    int32 max_node_count = 3;
-  }
-
-  // Optional. The node pool configuration.
-  GkeNodeConfig config = 2 [(google.api.field_behavior) = OPTIONAL];
-
-  // Optional. The list of Compute Engine
-  // [zones](https://cloud.google.com/compute/docs/zones#available) where
-  // NodePool's nodes will be located.
-  //
-  // **Note:** Currently, only one zone may be specified.
-  //
-  // If a location is not specified during NodePool creation, Dataproc will
-  // choose a location.
-  repeated string locations = 13 [(google.api.field_behavior) = OPTIONAL];
-
-  // Optional. The autoscaler configuration for this NodePool. The autoscaler is enabled
-  // only when a valid configuration is present.
-  GkeNodePoolAutoscalingConfig autoscaling = 4 [(google.api.field_behavior) = OPTIONAL];
-}
-
-// Cluster components that can be activated.
-enum Component {
-  // Unspecified component. Specifying this will cause Cluster creation to fail.
-  COMPONENT_UNSPECIFIED = 0;
-
-  // The Anaconda python distribution. The Anaconda component is not supported
-  // in the Dataproc
-  // <a
-  // href="/dataproc/docs/concepts/versioning/dataproc-release-2.0">2.0
-  // image</a>. The 2.0 image is pre-installed with Miniconda.
-  ANACONDA = 5;
-
-  // Docker
-  DOCKER = 13;
-
-  // The Druid query engine. (alpha)
-  DRUID = 9;
-
-  // Flink
-  FLINK = 14;
-
-  // HBase. (beta)
-  HBASE = 11;
-
-  // The Hive Web HCatalog (the REST service for accessing HCatalog).
-  HIVE_WEBHCAT = 3;
-
-  // The Jupyter Notebook.
-  JUPYTER = 1;
-
-  // The Presto query engine.
-  PRESTO = 6;
-
-  // The Ranger service.
-  RANGER = 12;
-
-  // The Solr service.
-  SOLR = 10;
-
-  // The Zeppelin notebook.
-  ZEPPELIN = 4;
-
-  // The Zookeeper service.
-  ZOOKEEPER = 8;
-}
-
-// Actions in response to failure of a resource associated with a cluster.
-enum FailureAction {
-  // When FailureAction is unspecified, failure action defaults to NO_ACTION.
-  FAILURE_ACTION_UNSPECIFIED = 0;
-
-  // Take no action on failure to create a cluster resource. NO_ACTION is the
-  // default.
-  NO_ACTION = 1;
-
-  // Delete the failed cluster resource.
-  DELETE = 2;
-}