/*
 * 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
 */

package org.apache.flink.runtime.scheduler.benchmark.scheduling;

import org.apache.flink.runtime.execution.ExecutionState;
import org.apache.flink.runtime.executiongraph.ExecutionVertex;
import org.apache.flink.runtime.scheduler.benchmark.JobConfiguration;
import org.apache.flink.runtime.scheduler.strategy.ExecutionVertexID;
import org.apache.flink.runtime.scheduler.strategy.PipelinedRegionSchedulingStrategy;

/**
 * The benchmark of scheduling downstream task in a BATCH job. The related method is {@link
 * PipelinedRegionSchedulingStrategy#onExecutionStateChange}.
 */
public class SchedulingDownstreamTasksInBatchJobBenchmark extends SchedulingBenchmarkBase {

    private ExecutionVertexID executionVertexID;
    private PipelinedRegionSchedulingStrategy schedulingStrategy;

    @Override
    public void setup(JobConfiguration jobConfiguration) throws Exception {
        super.setup(jobConfiguration);

        schedulingStrategy =
                new PipelinedRegionSchedulingStrategy(schedulerOperations, schedulingTopology);

        executionVertexID =
                executionGraph
                        .getJobVertex(jobVertices.get(0).getID())
                        .getTaskVertices()[0]
                        .getID();
        for (ExecutionVertex vertex :
                executionGraph.getJobVertex(jobVertices.get(0).getID()).getTaskVertices()) {
            vertex.finishAllBlockingPartitions();
        }
    }

    public void schedulingDownstreamTasks() {
        schedulingStrategy.onExecutionStateChange(executionVertexID, ExecutionState.FINISHED);
    }
}

/*
 * 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
 */

package org.apache.flink.runtime.scheduler.benchmark.scheduling;

import org.apache.flink.runtime.execution.ExecutionState;
import org.apache.flink.runtime.executiongraph.ExecutionVertex;
import org.apache.flink.runtime.scheduler.benchmark.JobConfiguration;
import org.apache.flink.runtime.scheduler.strategy.PipelinedRegionSchedulingStrategy;

/**
 * The benchmark of scheduling downstream task in a BATCH job. The related method is {@link
 * PipelinedRegionSchedulingStrategy#onExecutionStateChange}.
 */
public class SchedulingDownstreamTasksInBatchJobBenchmark extends SchedulingBenchmarkBase {
    private PipelinedRegionSchedulingStrategy schedulingStrategy;

    private int parallelism;

    @Override
    public void setup(JobConfiguration jobConfiguration) throws Exception {
        super.setup(jobConfiguration);

        schedulingStrategy =
                new PipelinedRegionSchedulingStrategy(schedulerOperations, schedulingTopology);

        parallelism = jobConfiguration.getParallelism();
    }

    public void schedulingDownstreamTasks() {
        for (int i = 0; i < parallelism - 1; i++) {
            ExecutionVertex taskVertex =
                    executionGraph.getJobVertex(jobVertices.get(0).getID()).getTaskVertices()[i];
            taskVertex.finishAllBlockingPartitions();

            schedulingStrategy.onExecutionStateChange(taskVertex.getID(), ExecutionState.FINISHED);
        }
        ExecutionVertex lastVertex =
                executionGraph.getJobVertex(jobVertices.get(0).getID())
                        .getTaskVertices()[parallelism - 1];
        lastVertex.finishAllBlockingPartitions();
        schedulingStrategy.onExecutionStateChange(lastVertex.getID(), ExecutionState.FINISHED);
    }
}

make schedulingDownStreamTasksInBatchJobBenchmark more in line with the real scene.