azagrebin commented on a change in pull request #8362: [FLINK-11391] Introduce shuffle master interface URL: https://github.com/apache/flink/pull/8362#discussion_r289754707
########## File path: flink-runtime/src/main/java/org/apache/flink/runtime/deployment/TaskDeploymentDescriptorFactory.java ########## @@ -0,0 +1,268 @@ +/* + * 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.deployment; + +import org.apache.flink.annotation.VisibleForTesting; +import org.apache.flink.api.common.JobID; +import org.apache.flink.runtime.blob.PermanentBlobKey; +import org.apache.flink.runtime.checkpoint.JobManagerTaskRestore; +import org.apache.flink.runtime.clusterframework.types.AllocationID; +import org.apache.flink.runtime.clusterframework.types.ResourceID; +import org.apache.flink.runtime.deployment.TaskDeploymentDescriptor.MaybeOffloaded; +import org.apache.flink.runtime.execution.ExecutionState; +import org.apache.flink.runtime.executiongraph.Execution; +import org.apache.flink.runtime.executiongraph.ExecutionAttemptID; +import org.apache.flink.runtime.executiongraph.ExecutionEdge; +import org.apache.flink.runtime.executiongraph.ExecutionGraph; +import org.apache.flink.runtime.executiongraph.ExecutionGraphException; +import org.apache.flink.runtime.executiongraph.ExecutionVertex; +import org.apache.flink.runtime.executiongraph.IntermediateResult; +import org.apache.flink.runtime.executiongraph.IntermediateResultPartition; +import org.apache.flink.runtime.executiongraph.JobInformation; +import org.apache.flink.runtime.executiongraph.TaskInformation; +import org.apache.flink.runtime.io.network.partition.ResultPartitionID; +import org.apache.flink.runtime.io.network.partition.ResultPartitionType; +import org.apache.flink.runtime.jobgraph.IntermediateDataSetID; +import org.apache.flink.runtime.shuffle.ShuffleDescriptor; +import org.apache.flink.runtime.shuffle.UnknownShuffleDescriptor; +import org.apache.flink.types.Either; +import org.apache.flink.util.SerializedValue; + +import javax.annotation.Nullable; + +import java.util.ArrayList; +import java.util.Collection; +import java.util.List; +import java.util.Optional; + +/** + * Factory of {@link TaskDeploymentDescriptor} to deploy {@link org.apache.flink.runtime.taskmanager.Task} from {@link Execution}. + */ +public class TaskDeploymentDescriptorFactory { + private final ExecutionAttemptID executionId; + private final int attemptNumber; + private final MaybeOffloaded<JobInformation> serializedJobInformation; + private final MaybeOffloaded<TaskInformation> taskInfo; + private final JobID jobID; + private final boolean lazyScheduling; + private final int subtaskIndex; + private final ExecutionEdge[][] inputEdges; + + private TaskDeploymentDescriptorFactory( + ExecutionAttemptID executionId, + int attemptNumber, + MaybeOffloaded<JobInformation> serializedJobInformation, + MaybeOffloaded<TaskInformation> taskInfo, + JobID jobID, + boolean lazyScheduling, + int subtaskIndex, + ExecutionEdge[][] inputEdges) { + this.executionId = executionId; + this.attemptNumber = attemptNumber; + this.serializedJobInformation = serializedJobInformation; + this.taskInfo = taskInfo; + this.jobID = jobID; + this.lazyScheduling = lazyScheduling; + this.subtaskIndex = subtaskIndex; + this.inputEdges = inputEdges; + } + + public TaskDeploymentDescriptor createDeploymentDescriptor( + ResourceID location, + AllocationID allocationID, + int targetSlotNumber, + @Nullable JobManagerTaskRestore taskRestore, + Collection<ResultPartitionDeploymentDescriptor> producedPartitions) throws Exception { + return new TaskDeploymentDescriptor( + jobID, + serializedJobInformation, + taskInfo, + executionId, + allocationID, + subtaskIndex, + attemptNumber, + targetSlotNumber, + taskRestore, + new ArrayList<>(producedPartitions), + createInputGateDeploymentDescriptors(location, inputEdges, subtaskIndex, lazyScheduling)); + } + + public static TaskDeploymentDescriptorFactory fromExecutionVertex( + ExecutionVertex executionVertex, + int attemptNumber) throws ExecutionGraphException { + ExecutionGraph executionGraph = executionVertex.getExecutionGraph(); + return new TaskDeploymentDescriptorFactory( + executionVertex.getCurrentExecutionAttempt().getAttemptId(), + attemptNumber, + getSerializedJobInformation(executionGraph), + getSerializedTaskInformation(executionVertex.getJobVertex().getTaskInformationOrBlobKey()), + executionGraph.getJobID(), + executionGraph.getScheduleMode().allowLazyDeployment(), + executionVertex.getParallelSubtaskIndex(), + executionVertex.getAllInputEdges()); + } + + private static MaybeOffloaded<JobInformation> getSerializedJobInformation(ExecutionGraph executionGraph) { + Either<SerializedValue<JobInformation>, PermanentBlobKey> jobInformationOrBlobKey = + executionGraph.getJobInformationOrBlobKey(); + if (jobInformationOrBlobKey.isLeft()) { + return new TaskDeploymentDescriptor.NonOffloaded<>(jobInformationOrBlobKey.left()); + } else { + return new TaskDeploymentDescriptor.Offloaded<>(jobInformationOrBlobKey.right()); + } + } + + private static MaybeOffloaded<TaskInformation> getSerializedTaskInformation( + Either<SerializedValue<TaskInformation>, + PermanentBlobKey> taskInfo) { + return taskInfo.isLeft() ? + new TaskDeploymentDescriptor.NonOffloaded<>(taskInfo.left()) : + new TaskDeploymentDescriptor.Offloaded<>(taskInfo.right()); + } + + private static List<InputGateDeploymentDescriptor> createInputGateDeploymentDescriptors( + ResourceID location, + ExecutionEdge[][] inputEdges, + int subtaskIndex, + boolean allowLazyDeployment) throws ExecutionGraphException { + List<InputGateDeploymentDescriptor> inputGates = new ArrayList<>(inputEdges.length); + + for (ExecutionEdge[] edges : inputEdges) { + ShuffleDescriptor[] consumedPartitions = getConsumedPartitionShuffleDescriptors(edges, allowLazyDeployment); + // If the produced partition has multiple consumers registered, we + // need to request the one matching our sub task index. + // TODO Refactor after removing the consumers from the intermediate result partitions + int numConsumerEdges = edges[0].getSource().getConsumers().get(0).size(); + + int queueToRequest = subtaskIndex % numConsumerEdges; + + IntermediateResult consumedIntermediateResult = edges[0].getSource().getIntermediateResult(); + IntermediateDataSetID resultId = consumedIntermediateResult.getId(); + ResultPartitionType partitionType = consumedIntermediateResult.getResultType(); + + inputGates.add(new InputGateDeploymentDescriptor( + resultId, + partitionType, + queueToRequest, + consumedPartitions, + location)); + } + + return inputGates; + } + + private static ShuffleDescriptor[] getConsumedPartitionShuffleDescriptors( + ExecutionEdge[] edges, + boolean allowLazyDeployment) throws ExecutionGraphException { + ShuffleDescriptor[] shuffleDescriptors = new ShuffleDescriptor[edges.length]; + // Each edge is connected to a different result partition + for (int i = 0; i < edges.length; i++) { + shuffleDescriptors[i] = + getConsumedPartitionShuffleDescriptor(edges[i], allowLazyDeployment); + } + return shuffleDescriptors; + } + + private static ShuffleDescriptor getConsumedPartitionShuffleDescriptor( + ExecutionEdge edge, + boolean allowLazyDeployment) throws ExecutionGraphException { + IntermediateResultPartition consumedPartition = edge.getSource(); + Execution producer = consumedPartition.getProducer().getCurrentExecutionAttempt(); + + ExecutionState producerState = producer.getState(); + Optional<ResultPartitionDeploymentDescriptor> consumedPartitionDescriptor = + producer.getProducedPartition(consumedPartition.getPartitionId()); + + ResultPartitionID consumedPartitionId = new ResultPartitionID( + consumedPartition.getPartitionId(), + producer.getAttemptId()); + + return getConsumedPartitionShuffleDescriptor( + consumedPartitionId, + consumedPartition.getResultType(), + consumedPartition.isConsumable(), + producerState, + allowLazyDeployment, + consumedPartitionDescriptor.orElse(null)); + } + + @VisibleForTesting + static ShuffleDescriptor getConsumedPartitionShuffleDescriptor( + ResultPartitionID consumedPartitionId, + ResultPartitionType resultPartitionType, + boolean isConsumable, + ExecutionState producerState, + boolean allowLazyDeployment, + @Nullable ResultPartitionDeploymentDescriptor consumedPartitionDescriptor) throws ExecutionGraphException { Review comment: I would follow oracle recommendation for that to use Optional only as a return type, it seems there is no agreement in codestyle guide atm. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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