zentol commented on a change in pull request #8446: [FLINK-12414] [runtime] Implement ExecutionGraph to SchedulingTopology URL: https://github.com/apache/flink/pull/8446#discussion_r284233475
########## File path: flink-runtime/src/test/java/org/apache/flink/runtime/scheduler/adapter/DefaultExecutionVertexTest.java ########## @@ -0,0 +1,148 @@ +/* + * 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.adapter; + +import org.apache.flink.api.common.JobID; +import org.apache.flink.runtime.execution.ExecutionState; +import org.apache.flink.runtime.executiongraph.ExecutionEdge; +import org.apache.flink.runtime.executiongraph.ExecutionGraph; +import org.apache.flink.runtime.executiongraph.ExecutionVertex; +import org.apache.flink.runtime.executiongraph.IntermediateResultPartition; +import org.apache.flink.runtime.executiongraph.TestRestartStrategy; +import org.apache.flink.runtime.executiongraph.utils.SimpleAckingTaskManagerGateway; +import org.apache.flink.runtime.jobgraph.IntermediateResultPartitionID; +import org.apache.flink.runtime.jobgraph.JobVertex; +import org.apache.flink.runtime.scheduler.strategy.SchedulingExecutionVertex; +import org.apache.flink.runtime.scheduler.strategy.SchedulingResultPartition; + +import org.junit.Before; +import org.junit.Test; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collection; +import java.util.List; +import java.util.Random; +import java.util.Set; +import java.util.stream.Collectors; + +import static org.apache.flink.api.common.InputDependencyConstraint.ALL; +import static org.apache.flink.api.common.InputDependencyConstraint.ANY; +import static org.apache.flink.runtime.executiongraph.ExecutionGraphTestUtils.createNoOpVertex; +import static org.apache.flink.runtime.executiongraph.ExecutionGraphTestUtils.createSimpleTestGraph; +import static org.apache.flink.runtime.executiongraph.ExecutionGraphTestUtils.setVertexState; +import static org.apache.flink.runtime.io.network.partition.ResultPartitionType.BLOCKING; +import static org.apache.flink.runtime.jobgraph.DistributionPattern.ALL_TO_ALL; +import static org.hamcrest.Matchers.containsInAnyOrder; +import static org.junit.Assert.assertEquals; +import static org.junit.Assert.assertThat; + +/** + * Unit tests for {@link DefaultExecutionVertex}. + */ +public class DefaultExecutionVertexTest { + + private final SimpleAckingTaskManagerGateway taskManagerGateway = new SimpleAckingTaskManagerGateway(); + + private final TestRestartStrategy triggeredRestartStrategy = TestRestartStrategy.manuallyTriggered(); + + private final int parallelism = 3; + + private List<SchedulingExecutionVertex> schedulingExecutionVertices; + + private List<ExecutionVertex> executionVertices; + + @Before + public void setUp() throws Exception { + JobVertex[] jobVertices = new JobVertex[2]; + jobVertices[0] = createNoOpVertex(parallelism); + jobVertices[1] = createNoOpVertex(parallelism); + jobVertices[1].connectNewDataSetAsInput(jobVertices[0], ALL_TO_ALL, BLOCKING); + jobVertices[0].setInputDependencyConstraint(ALL); + jobVertices[1].setInputDependencyConstraint(ANY); + ExecutionGraph executionGraph = createSimpleTestGraph( + new JobID(), + taskManagerGateway, + triggeredRestartStrategy, + jobVertices); + ExecutionGraphToSchedulingTopologyAdapter adapter = new ExecutionGraphToSchedulingTopologyAdapter(executionGraph); + + schedulingExecutionVertices = new ArrayList<>(); + adapter.getVertices().forEach(vertex -> schedulingExecutionVertices.add(vertex)); + executionVertices = new ArrayList<>(); + executionGraph.getAllExecutionVertices().forEach(vertex -> executionVertices.add(vertex)); + } + + @Test + public void testGetId() { + for (int idx = 0; idx < schedulingExecutionVertices.size(); idx++){ + assertEquals(schedulingExecutionVertices.get(idx).getId().getJobVertexId(), + executionVertices.get(idx).getJobvertexId()); + assertEquals(schedulingExecutionVertices.get(idx).getId().getSubtaskIndex(), + executionVertices.get(idx).getParallelSubtaskIndex()); + } + } + + @Test + public void testGetExecutionState() { + final ExecutionState[] states = ExecutionState.values(); + Random random = new Random(); + for (ExecutionVertex executionVertex: executionVertices) { + setVertexState(executionVertex, states[Math.abs(random.nextInt()) % states.length]); + } + + for (int idx = 0; idx < schedulingExecutionVertices.size(); idx++) { + assertEquals(schedulingExecutionVertices.get(idx).getState(), executionVertices.get(idx).getExecutionState()); + } + } + + @Test + public void testGetInputDependencyConstraint() { + for (int idx = 0; idx < schedulingExecutionVertices.size(); idx++) { + assertEquals(schedulingExecutionVertices.get(idx).getInputDependencyConstraint(), + executionVertices.get(idx).getJobVertex().getInputDependencyConstraint()); + } + } + + @Test + public void testGetConsumedResultPartitions() { + for (int idx = 0; idx < schedulingExecutionVertices.size(); idx++) { + Collection<IntermediateResultPartitionID> partitionIds1 = schedulingExecutionVertices + .get(idx).getProducedResultPartitions().stream().map(SchedulingResultPartition::getId) + .collect(Collectors.toList()); + Set<IntermediateResultPartitionID> partitionIds2 = executionVertices + .get(idx).getProducedPartitions().keySet(); + assertThat(partitionIds1, containsInAnyOrder(partitionIds2.toArray())); + } + } + + @Test + public void testGetProducedResultPartitions() { + for (int idx = parallelism; idx < schedulingExecutionVertices.size(); idx++) { Review comment: should start at 0? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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