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   * Licensed to the Apache Software Foundation (ASF) under one
   * or more contributor license agreements.  See the NOTICE file
   * distributed with this work for additional information
   * regarding copyright ownership.  The ASF licenses this file
   * to you 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.
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  package org.apache.beam.runners.spark;
  
  import java.util.UUID;
  import org.apache.beam.model.pipeline.v1.RunnerApi.Pipeline;
  import org.apache.beam.runners.fnexecution.provisioning.JobInfo;
  import org.apache.beam.runners.jobsubmission.JobInvocation;
  import org.apache.beam.runners.jobsubmission.JobInvoker;
  import org.apache.beam.runners.jobsubmission.PortablePipelineJarCreator;
  import org.apache.beam.runners.jobsubmission.PortablePipelineRunner;
  import org.apache.beam.sdk.options.PortablePipelineOptions;
  import org.apache.beam.sdk.util.construction.PipelineOptionsTranslation;
  import org.apache.beam.vendor.grpc.v1p69p0.com.google.protobuf.Struct;
  import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Strings;
  import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.util.concurrent.ListeningExecutorService;
  import org.checkerframework.checker.nullness.qual.Nullable;
  import org.slf4j.Logger;
  import org.slf4j.LoggerFactory;
  
  /** Creates a job invocation to manage the Spark runner's execution of a portable pipeline. */
  @SuppressWarnings({
    "nullness" // TODO(https://github.com/apache/beam/issues/20497)
  })
  public class SparkJobInvoker extends JobInvoker {
  
    private static final Logger LOG = LoggerFactory.getLogger(SparkJobInvoker.class);
  
    private SparkJobServerDriver.SparkServerConfiguration configuration;
  
    public static SparkJobInvoker create(
        SparkJobServerDriver.SparkServerConfiguration configuration) {
      return new SparkJobInvoker(configuration);
    }
  
    private SparkJobInvoker(SparkJobServerDriver.SparkServerConfiguration configuration) {
      super("spark-runner-job-invoker-%d");
      this.configuration = configuration;
    }
  
    @Override
    protected JobInvocation invokeWithExecutor(
        Pipeline pipeline,
        Struct options,
        @Nullable String retrievalToken,
        ListeningExecutorService executorService) {
      LOG.trace("Parsing pipeline options");
      SparkPipelineOptions sparkOptions =
          PipelineOptionsTranslation.fromProto(options).as(SparkPipelineOptions.class);
  
      String invocationId =
          String.format("%s_%s", sparkOptions.getJobName(), UUID.randomUUID().toString());
      LOG.info("Invoking job {}", invocationId);
  
      if (sparkOptions.getSparkMaster().equals(SparkPipelineOptions.DEFAULT_MASTER_URL)) {
        sparkOptions.setSparkMaster(configuration.getSparkMasterUrl());
      }
  
      // Options can't be translated to proto if runner class is unresolvable, so set it to null.
      sparkOptions.setRunner(null);
  
      if (sparkOptions.getAppName() == null) {
        LOG.debug("App name was null. Using invocationId {}", invocationId);
        sparkOptions.setAppName(invocationId);
      }
  
      return createJobInvocation(
          invocationId, retrievalToken, executorService, pipeline, sparkOptions);
    }
  
    static JobInvocation createJobInvocation(
        String invocationId,
        String retrievalToken,
        ListeningExecutorService executorService,
        Pipeline pipeline,
        SparkPipelineOptions sparkOptions) {
      JobInfo jobInfo =
          JobInfo.create(
              invocationId,
              sparkOptions.getJobName(),
              retrievalToken,
              PipelineOptionsTranslation.toProto(sparkOptions));
      PortablePipelineRunner pipelineRunner;
      if (Strings.isNullOrEmpty(
          sparkOptions.as(PortablePipelineOptions.class).getOutputExecutablePath())) {
        pipelineRunner = new SparkPipelineRunner(sparkOptions);
      } else {
        pipelineRunner = new PortablePipelineJarCreator(SparkPipelineRunner.class);
      }
      return new JobInvocation(jobInfo, executorService, pipeline, pipelineRunner);
    }
  }
  