/* * 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.executiongraph; import org.apache.flink.runtime.accumulators.StringifiedAccumulatorResult; import org.apache.flink.runtime.execution.ExecutionState; import org.apache.flink.runtime.jobgraph.JobVertexID; import java.io.Serializable; import static org.apache.flink.runtime.executiongraph.ExecutionJobVertex.getAggregateJobVertexState; public class ArchivedExecutionJobVertex implements AccessExecutionJobVertex, Serializable { private static final long serialVersionUID = -5768187638639437957L; private final ArchivedExecutionVertex[] taskVertices; private final JobVertexID id; private final String name; private final int parallelism; private final int maxParallelism; private final StringifiedAccumulatorResult[] archivedUserAccumulators; public ArchivedExecutionJobVertex(ExecutionJobVertex jobVertex) { this.taskVertices = new ArchivedExecutionVertex[jobVertex.getTaskVertices().length]; for (int x = 0; x < taskVertices.length; x++) { taskVertices[x] = jobVertex.getTaskVertices()[x].archive(); } archivedUserAccumulators = jobVertex.getAggregatedUserAccumulatorsStringified(); this.id = jobVertex.getJobVertexId(); this.name = jobVertex.getJobVertex().getName(); this.parallelism = jobVertex.getParallelism(); this.maxParallelism = jobVertex.getMaxParallelism(); } public ArchivedExecutionJobVertex( ArchivedExecutionVertex[] taskVertices, JobVertexID id, String name, int parallelism, int maxParallelism, StringifiedAccumulatorResult[] archivedUserAccumulators) { this.taskVertices = taskVertices; this.id = id; this.name = name; this.parallelism = parallelism; this.maxParallelism = maxParallelism; this.archivedUserAccumulators = archivedUserAccumulators; } // -------------------------------------------------------------------------------------------- // Accessors // -------------------------------------------------------------------------------------------- @Override public String getName() { return name; } @Override public int getParallelism() { return parallelism; } @Override public int getMaxParallelism() { return maxParallelism; } @Override public JobVertexID getJobVertexId() { return id; } @Override public ArchivedExecutionVertex[] getTaskVertices() { return taskVertices; } @Override public ExecutionState getAggregateState() { int[] num = new int[ExecutionState.values().length]; for (ArchivedExecutionVertex vertex : this.taskVertices) { num[vertex.getExecutionState().ordinal()]++; } return getAggregateJobVertexState(num, parallelism); } // -------------------------------------------------------------------------------------------- // Static / pre-assigned input splits // -------------------------------------------------------------------------------------------- @Override public StringifiedAccumulatorResult[] getAggregatedUserAccumulatorsStringified() { return archivedUserAccumulators; } }