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/*
 * Copyright 2024 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
 *
 *     https://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.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/dataproc/v1/batches.proto

// Protobuf Java Version: 3.25.5
package com.google.cloud.dataproc.v1;

public final class BatchesProto {
  private BatchesProto() {}

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  static final com.google.protobuf.Descriptors.Descriptor
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  static final com.google.protobuf.Descriptors.Descriptor
      internal_static_google_cloud_dataproc_v1_ListBatchesRequest_descriptor;
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  static final com.google.protobuf.Descriptors.Descriptor
      internal_static_google_cloud_dataproc_v1_ListBatchesResponse_descriptor;
  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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  static final com.google.protobuf.Descriptors.Descriptor
      internal_static_google_cloud_dataproc_v1_DeleteBatchRequest_descriptor;
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  static final com.google.protobuf.Descriptors.Descriptor
      internal_static_google_cloud_dataproc_v1_Batch_descriptor;
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  static final com.google.protobuf.Descriptors.Descriptor
      internal_static_google_cloud_dataproc_v1_Batch_StateHistory_descriptor;
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      internal_static_google_cloud_dataproc_v1_Batch_LabelsEntry_descriptor;
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      internal_static_google_cloud_dataproc_v1_PySparkBatch_descriptor;
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  static final com.google.protobuf.Descriptors.Descriptor
      internal_static_google_cloud_dataproc_v1_SparkRBatch_descriptor;
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  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
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  static {
    java.lang.String[] descriptorData = {
      "\n&google/cloud/dataproc/v1/batches.proto"
          + "\022\030google.cloud.dataproc.v1\032\034google/api/a"
          + "nnotations.proto\032\027google/api/client.prot"
          + "o\032\037google/api/field_behavior.proto\032\031goog"
          + "le/api/resource.proto\032%google/cloud/data"
          + "proc/v1/shared.proto\032#google/longrunning"
          + "/operations.proto\032\033google/protobuf/empty"
          + ".proto\032\037google/protobuf/timestamp.proto\""
          + "\260\001\n\022CreateBatchRequest\0225\n\006parent\030\001 \001(\tB%"
          + "\340A\002\372A\037\022\035dataproc.googleapis.com/Batch\0223\n"
          + "\005batch\030\002 \001(\0132\037.google.cloud.dataproc.v1."
          + "BatchB\003\340A\002\022\025\n\010batch_id\030\003 \001(\tB\003\340A\001\022\027\n\nreq"
          + "uest_id\030\004 \001(\tB\003\340A\001\"F\n\017GetBatchRequest\0223\n"
          + "\004name\030\001 \001(\tB%\340A\002\372A\037\n\035dataproc.googleapis"
          + ".com/Batch\"\250\001\n\022ListBatchesRequest\0225\n\006par"
          + "ent\030\001 \001(\tB%\340A\002\372A\037\022\035dataproc.googleapis.c"
          + "om/Batch\022\026\n\tpage_size\030\002 \001(\005B\003\340A\001\022\027\n\npage"
          + "_token\030\003 \001(\tB\003\340A\001\022\023\n\006filter\030\004 \001(\tB\003\340A\001\022\025"
          + "\n\010order_by\030\005 \001(\tB\003\340A\001\"z\n\023ListBatchesResp"
          + "onse\0220\n\007batches\030\001 \003(\0132\037.google.cloud.dat"
          + "aproc.v1.Batch\022\027\n\017next_page_token\030\002 \001(\t\022"
          + "\030\n\013unreachable\030\003 \003(\tB\003\340A\003\"I\n\022DeleteBatch"
          + "Request\0223\n\004name\030\001 \001(\tB%\340A\002\372A\037\n\035dataproc."
          + "googleapis.com/Batch\"\310\n\n\005Batch\022\021\n\004name\030\001"
          + " \001(\tB\003\340A\003\022\021\n\004uuid\030\002 \001(\tB\003\340A\003\0224\n\013create_t"
          + "ime\030\003 \001(\0132\032.google.protobuf.TimestampB\003\340"
          + "A\003\022D\n\rpyspark_batch\030\004 \001(\0132&.google.cloud"
          + ".dataproc.v1.PySparkBatchB\003\340A\001H\000\022@\n\013spar"
          + "k_batch\030\005 \001(\0132$.google.cloud.dataproc.v1"
          + ".SparkBatchB\003\340A\001H\000\022C\n\rspark_r_batch\030\006 \001("
          + "\0132%.google.cloud.dataproc.v1.SparkRBatch"
          + "B\003\340A\001H\000\022G\n\017spark_sql_batch\030\007 \001(\0132\'.googl"
          + "e.cloud.dataproc.v1.SparkSqlBatchB\003\340A\001H\000"
          + "\022@\n\014runtime_info\030\010 \001(\0132%.google.cloud.da"
          + "taproc.v1.RuntimeInfoB\003\340A\003\0229\n\005state\030\t \001("
          + "\0162%.google.cloud.dataproc.v1.Batch.State"
          + "B\003\340A\003\022\032\n\rstate_message\030\n \001(\tB\003\340A\003\0223\n\nsta"
          + "te_time\030\013 \001(\0132\032.google.protobuf.Timestam"
          + "pB\003\340A\003\022\024\n\007creator\030\014 \001(\tB\003\340A\003\022@\n\006labels\030\r"
          + " \003(\0132+.google.cloud.dataproc.v1.Batch.La"
          + "belsEntryB\003\340A\001\022D\n\016runtime_config\030\016 \001(\0132\'"
          + ".google.cloud.dataproc.v1.RuntimeConfigB"
          + "\003\340A\001\022L\n\022environment_config\030\017 \001(\0132+.googl"
          + "e.cloud.dataproc.v1.EnvironmentConfigB\003\340"
          + "A\001\022\026\n\toperation\030\020 \001(\tB\003\340A\003\022H\n\rstate_hist"
          + "ory\030\021 \003(\0132,.google.cloud.dataproc.v1.Bat"
          + "ch.StateHistoryB\003\340A\003\032\240\001\n\014StateHistory\0229\n"
          + "\005state\030\001 \001(\0162%.google.cloud.dataproc.v1."
          + "Batch.StateB\003\340A\003\022\032\n\rstate_message\030\002 \001(\tB"
          + "\003\340A\003\0229\n\020state_start_time\030\003 \001(\0132\032.google."
          + "protobuf.TimestampB\003\340A\003\032-\n\013LabelsEntry\022\013"
          + "\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\"r\n\005State\022"
          + "\025\n\021STATE_UNSPECIFIED\020\000\022\013\n\007PENDING\020\001\022\013\n\007R"
          + "UNNING\020\002\022\016\n\nCANCELLING\020\003\022\r\n\tCANCELLED\020\004\022"
          + "\r\n\tSUCCEEDED\020\005\022\n\n\006FAILED\020\006:[\352AX\n\035datapro"
          + "c.googleapis.com/Batch\0227projects/{projec"
          + "t}/locations/{location}/batches/{batch}B"
          + "\016\n\014batch_config\"\262\001\n\014PySparkBatch\022!\n\024main"
          + "_python_file_uri\030\001 \001(\tB\003\340A\002\022\021\n\004args\030\002 \003("
          + "\tB\003\340A\001\022\035\n\020python_file_uris\030\003 \003(\tB\003\340A\001\022\032\n"
          + "\rjar_file_uris\030\004 \003(\tB\003\340A\001\022\026\n\tfile_uris\030\005"
          + " \003(\tB\003\340A\001\022\031\n\014archive_uris\030\006 \003(\tB\003\340A\001\"\265\001\n"
          + "\nSparkBatch\022 \n\021main_jar_file_uri\030\001 \001(\tB\003"
          + "\340A\001H\000\022\031\n\nmain_class\030\002 \001(\tB\003\340A\001H\000\022\021\n\004args"
          + "\030\003 \003(\tB\003\340A\001\022\032\n\rjar_file_uris\030\004 \003(\tB\003\340A\001\022"
          + "\026\n\tfile_uris\030\005 \003(\tB\003\340A\001\022\031\n\014archive_uris\030"
          + "\006 \003(\tB\003\340A\001B\010\n\006driver\"q\n\013SparkRBatch\022\034\n\017m"
          + "ain_r_file_uri\030\001 \001(\tB\003\340A\002\022\021\n\004args\030\002 \003(\tB"
          + "\003\340A\001\022\026\n\tfile_uris\030\003 \003(\tB\003\340A\001\022\031\n\014archive_"
          + "uris\030\004 \003(\tB\003\340A\001\"\332\001\n\rSparkSqlBatch\022\033\n\016que"
          + "ry_file_uri\030\001 \001(\tB\003\340A\002\022Y\n\017query_variable"
          + "s\030\002 \003(\0132;.google.cloud.dataproc.v1.Spark"
          + "SqlBatch.QueryVariablesEntryB\003\340A\001\022\032\n\rjar"
          + "_file_uris\030\003 \003(\tB\003\340A\001\0325\n\023QueryVariablesE"
          + "ntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\0012\235\006\n"
          + "\017BatchController\022\352\001\n\013CreateBatch\022,.googl"
          + "e.cloud.dataproc.v1.CreateBatchRequest\032\035"
          + ".google.longrunning.Operation\"\215\001\312A8\n\005Bat"
          + "ch\022/google.cloud.dataproc.v1.BatchOperat"
          + "ionMetadata\332A\025parent,batch,batch_id\202\323\344\223\002"
          + "4\"+/v1/{parent=projects/*/locations/*}/b"
          + "atches:\005batch\022\222\001\n\010GetBatch\022).google.clou"
          + "d.dataproc.v1.GetBatchRequest\032\037.google.c"
          + "loud.dataproc.v1.Batch\":\332A\004name\202\323\344\223\002-\022+/"
          + "v1/{name=projects/*/locations/*/batches/"
          + "*}\022\250\001\n\013ListBatches\022,.google.cloud.datapr"
          + "oc.v1.ListBatchesRequest\032-.google.cloud."
          + "dataproc.v1.ListBatchesResponse\"<\332A\006pare"
          + "nt\202\323\344\223\002-\022+/v1/{parent=projects/*/locatio"
          + "ns/*}/batches\022\217\001\n\013DeleteBatch\022,.google.c"
          + "loud.dataproc.v1.DeleteBatchRequest\032\026.go"
          + "ogle.protobuf.Empty\":\332A\004name\202\323\344\223\002-*+/v1/"
          + "{name=projects/*/locations/*/batches/*}\032"
          + "K\312A\027dataproc.googleapis.com\322A.https://ww"
          + "w.googleapis.com/auth/cloud-platformBk\n\034"
          + "com.google.cloud.dataproc.v1B\014BatchesPro"
          + "toP\001Z;cloud.google.com/go/dataproc/v2/ap"
          + "iv1/dataprocpb;dataprocpbb\006proto3"
    };
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              "SparkBatch",
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              "State",
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              "Labels",
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  // @@protoc_insertion_point(outer_class_scope)
}




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