/*
 * Copyright © 2016 Cask Data, Inc.
 *
 * 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.
 */

package co.cask.cdap.app.runtime.spark.distributed;

import co.cask.cdap.app.runtime.ProgramRunner;
import co.cask.cdap.app.runtime.ProgramRuntimeProvider;
import co.cask.cdap.app.runtime.spark.SparkProgramRuntimeProvider;
import co.cask.cdap.internal.app.runtime.distributed.AbstractProgramTwillRunnable;
import co.cask.cdap.proto.ProgramType;
import com.google.inject.Injector;
import org.apache.twill.api.TwillRunnable;

/**
 * A {@link TwillRunnable} wrapper for {@link ProgramRunner} that runs spark.
 */
final class SparkTwillRunnable extends AbstractProgramTwillRunnable<ProgramRunner> {

  SparkTwillRunnable(String name, String hConfName, String cConfName) {
    super(name, hConfName, cConfName);
  }

  @Override
  protected boolean propagateServiceError() {
    // Don't propagate Spark failure as failure. This is to avoid infinite retry of this runnable.
    return false;
  }

  @Override
  protected ProgramRunner createProgramRunner(Injector injector) {
    // Inside the TwillRunanble, we use the "Local" SparkRunner, since we need to actually submit the job.
    // The actual execution mode of the job is governed by the framework configuration,
    // which is in the hConf we shipped from DistributedSparkProgramRunner
    return new SparkProgramRuntimeProvider().createProgramRunner(ProgramType.SPARK,
                                                                 ProgramRuntimeProvider.Mode.LOCAL, injector);
  }
}