[GitHub] [flink] Ryantaocer commented on a change in pull request #8309: [FLINK-12229] [runtime] Implement LazyFromSourcesScheduling Strategy

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Ryantaocer commented on a change in pull request #8309: [FLINK-12229] [runtime] Implement LazyFromSourcesScheduling Strategy
URL: https://github.com/apache/flink/pull/8309#discussion_r279308146
 
 

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 File path: flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/strategy/LazyFromSourcesSchedulingStrategy.java
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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.
+ */
+
+package org.apache.flink.runtime.scheduler.strategy;
+
+import org.apache.flink.api.common.InputDependencyConstraint;
+import org.apache.flink.runtime.execution.ExecutionState;
+import org.apache.flink.runtime.io.network.partition.ResultPartitionID;
+import org.apache.flink.runtime.jobgraph.JobGraph;
+import org.apache.flink.runtime.scheduler.DeploymentOption;
+import org.apache.flink.runtime.scheduler.ExecutionVertexDeploymentOption;
+import org.apache.flink.runtime.scheduler.SchedulerOperations;
+
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Optional;
+import java.util.Set;
+
+import static org.apache.flink.runtime.execution.ExecutionState.CREATED;
+import static org.apache.flink.runtime.execution.ExecutionState.RUNNING;
+import static org.apache.flink.util.Preconditions.checkNotNull;
+
+public class LazyFromSourcesSchedulingStrategy implements SchedulingStrategy {
+
+	private final SchedulerOperations schedulerOperations;
+
+	private final SchedulingTopology schedulingTopology;
+
+	private final DeploymentOption deploymentOption = new DeploymentOption(true);
+
+	private final JobGraph jobGraph;
+
+	public LazyFromSourcesSchedulingStrategy(
+		SchedulerOperations schedulerOperations,
+		SchedulingTopology schedulingTopology,
+		JobGraph jobGraph) {
+		this.schedulerOperations = checkNotNull(schedulerOperations);
+		this.schedulingTopology = checkNotNull(schedulingTopology);
+		this.jobGraph = checkNotNull(jobGraph);
+	}
+
+	@Override
+	public void startScheduling() {
+		List<ExecutionVertexDeploymentOption> executionVertexDeploymentOptions = new LinkedList<>();
+		for (SchedulingVertex schedulingVertex : schedulingTopology.getVertices()) {
+			if (jobGraph.findVertexByID(schedulingVertex.getJobVertexId()).isInputVertex()) {
+				// schedule vertices without consumed result partition
+				executionVertexDeploymentOptions.add(
+					new ExecutionVertexDeploymentOption(schedulingVertex.getId(), deploymentOption));
+			}
+		}
+		if (!executionVertexDeploymentOptions.isEmpty()) {
+			schedulerOperations.allocateSlotsAndDeploy(executionVertexDeploymentOptions);
+		}
+	}
+
+	@Override
+	public void restartTasks(Set<ExecutionVertexID> verticesNeedingRestart) {
+		List<ExecutionVertexDeploymentOption> executionVertexDeploymentOptions = new ArrayList<>(verticesNeedingRestart.size());
+		for (ExecutionVertexID executionVertexID : verticesNeedingRestart) {
+			executionVertexDeploymentOptions.add(
+				new ExecutionVertexDeploymentOption(executionVertexID, deploymentOption));
+		}
+		schedulerOperations.allocateSlotsAndDeploy(executionVertexDeploymentOptions);
+	}
+
+	@Override
+	public void onExecutionStateChange(ExecutionVertexID executionVertexId, ExecutionState executionState) {
+		Optional<SchedulingVertex> schedulingVertex = schedulingTopology.getVertex(executionVertexId);
+		if (!schedulingVertex.isPresent()) {
+			throw new IllegalStateException("can not find scheduling vertex for " + executionVertexId);
+		}
+
+		if (ExecutionState.RUNNING.equals(executionState)) {
+			List<ExecutionVertexDeploymentOption> executionVertexDeploymentOptions = new ArrayList<>();
+			for (SchedulingResultPartition srp : schedulingVertex.get().getProducedResultPartitions()) {
+				if (srp.getPartitionType().isPipelined()) {
+					for (SchedulingVertex sv : srp.getConsumers()) {
+						executionVertexDeploymentOptions.add(
+							new ExecutionVertexDeploymentOption(sv.getId(), deploymentOption));
+					}
+				}
+			}
+			schedulerOperations.allocateSlotsAndDeploy(executionVertexDeploymentOptions);
+		} else if (ExecutionState.FINISHED.equals(executionState)) {
+			List<SchedulingResultPartition> finishedPartitions = null;
+			for (SchedulingResultPartition srp : schedulingVertex.get().getProducedResultPartitions()) {
+				if (srp.getPartitionType().isBlocking()) {
+					Optional<SchedulingIntermediateDataSet> intermediateDataSet = schedulingTopology.getIntermediateDataSet(srp.getResultId());
+					if (!intermediateDataSet.isPresent()) {
+						throw new IllegalStateException("can not find scheduling intermediate dataset for " + srp.getResultId());
+					}
+					final int refCnt = intermediateDataSet.get().decrementNumberOfRunningProducersAndGetRemaining();
+					if (refCnt < 0) {
+						throw new IllegalStateException("Decremented number of unfinished producers below 0. "
+							+ "This is most likely a bug in the execution state/intermediate result "
+							+ "partition management.");
+					} else if (refCnt == 0) {
+						if (finishedPartitions == null) {
+							finishedPartitions = new LinkedList<>();
+						}
+						finishedPartitions.add(srp);
+					}
+				}
+			}
+
+			if (finishedPartitions != null) {
+				List<SchedulingVertex> toScheduleConsumers = new LinkedList<>();
+				for (SchedulingResultPartition finishedPartition : finishedPartitions) {
+					toScheduleConsumers.addAll(finishedPartition.getConsumers());
+				}
+				scheduleBlockingConsumers(toScheduleConsumers);
+			}
+		}
+	}
+
+	@Override
+	public void onPartitionConsumable(ExecutionVertexID executionVertexId, ResultPartitionID resultPartitionId) {
+		// No need to react to this notification.
+	}
+
+	private void scheduleBlockingConsumers(List<SchedulingVertex> vertices) {
+		List<ExecutionVertexDeploymentOption> executionVertexDeploymentOptions = new LinkedList<>();
+		for (SchedulingVertex schedulingVertex : vertices) {
+			final ExecutionState state = schedulingVertex.getState();
+
+			if (CREATED.equals(state)) {
 
 Review comment:
   use ExecutionState.CREATED ?

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