eaglewatcherwb commented on a change in pull request #8309: [FLINK-12229] [runtime] Implement LazyFromSourcesScheduling Strategy URL: https://github.com/apache/flink/pull/8309#discussion_r281001867
########## File path: flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/strategy/LazyFromSourcesSchedulingStrategy.java ########## @@ -0,0 +1,227 @@ +/* + * 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.IntermediateDataSet; +import org.apache.flink.runtime.jobgraph.IntermediateDataSetID; +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.Collection; +import java.util.HashMap; +import java.util.LinkedList; +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.Set; + +import static org.apache.flink.util.Preconditions.checkNotNull; + +/** + * {@link SchedulingStrategy} instance for batch job which schedule vertices when input data are ready. + */ +public class LazyFromSourcesSchedulingStrategy implements SchedulingStrategy { + + private final SchedulerOperations schedulerOperations; + + private final SchedulingTopology schedulingTopology; + + private final DeploymentOption deploymentOption = new DeploymentOption(true); + + private final JobGraph jobGraph; + + private final Map<IntermediateDataSetID, SchedulingIntermediateDataSet> intermediateDataSets; + + public LazyFromSourcesSchedulingStrategy( + SchedulerOperations schedulerOperations, + SchedulingTopology schedulingTopology, + JobGraph jobGraph) { + this.schedulerOperations = checkNotNull(schedulerOperations); + this.schedulingTopology = checkNotNull(schedulingTopology); + this.jobGraph = checkNotNull(jobGraph); + this.intermediateDataSets = new HashMap<>(); + } + + @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)); + } + + Collection<SchedulingResultPartition> partitions = schedulingVertex.getProducedResultPartitions(); + if (partitions != null) { + for (SchedulingResultPartition srp : partitions) { + SchedulingIntermediateDataSet sid = intermediateDataSets.computeIfAbsent(srp.getResultId(), + (key) -> new SchedulingIntermediateDataSet()); + sid.increaseProducerCnt(); + } + } + } + if (!executionVertexDeploymentOptions.isEmpty()) { + schedulerOperations.allocateSlotsAndDeploy(executionVertexDeploymentOptions); + } + } + + @Override + public void restartTasks(Set<ExecutionVertexID> verticesNeedingRestart) { Review comment: OK, I thought the `verticesNeedingRestart` of `restartTasks` are well chosen for directly scheduling vertices before. There would be another little difference between `startScheduling` and `restartTasks` in implementation, the former schedules the vertices without input result partition of all vertices in the topology, and the latter schedules vertices with empty input result partition or ANY/ALL input result partition is ready in `verticesNeedingRestart`. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
