Package org.apache.tez.dag.api

Examples of org.apache.tez.dag.api.OutputDescriptor

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    doReturn("InputClass").when(desc).getClassName();
    return desc;
  }

  private OutputDescriptor createTestOutputDescriptor() {
    OutputDescriptor desc = mock(OutputDescriptor.class);
    doReturn("OutputClass").when(desc).getClassName();
    return desc;
  }
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        dummyTaskCount, dummyTaskResource);
   
    DAG dag = new DAG("testDag");
    String groupName1 = "uv12";
    org.apache.tez.dag.api.VertexGroup uv12 = dag.createVertexGroup(groupName1, v1, v2);
    OutputDescriptor outDesc = new OutputDescriptor("output.class");
    uv12.addOutput("uvOut", outDesc, TotalCountingOutputCommitter.class);
    v3.addOutput("uvOut", outDesc, TotalCountingOutputCommitter.class);
   
    GroupInputEdge e1 = new GroupInputEdge(uv12, v3,
        new EdgeProperty(DataMovementType.SCATTER_GATHER,
            DataSourceType.PERSISTED, SchedulingType.SEQUENTIAL,
            new OutputDescriptor("dummy output class"),
            new InputDescriptor("dummy input class")),
            new InputDescriptor("merge.class"));
   
    dag.addVertex(v1);
    dag.addVertex(v2);
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    dag.addVertex(stage2Vertex);
    dag.addVertex(stage3Vertex);

    Edge edge1 = new Edge(stage1Vertex, stage2Vertex, new EdgeProperty(
        DataMovementType.SCATTER_GATHER, DataSourceType.PERSISTED,
        SchedulingType.SEQUENTIAL, new OutputDescriptor(
        OnFileSortedOutput.class.getName()), new InputDescriptor(
                ShuffledMergedInputLegacy.class.getName())));
    Edge edge2 = new Edge(stage2Vertex, stage3Vertex, new EdgeProperty(
        DataMovementType.SCATTER_GATHER, DataSourceType.PERSISTED,
        SchedulingType.SEQUENTIAL, new OutputDescriptor(
        OnFileSortedOutput.class.getName()), new InputDescriptor(
                ShuffledMergedInputLegacy.class.getName())));

    dag.addEdge(edge1);
    dag.addEdge(edge2);
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      if (i != 0) {
        dag.addEdge(new Edge(vertices.get(i-1),
            vertices.get(i), new EdgeProperty(
                DataMovementType.SCATTER_GATHER, DataSourceType.PERSISTED,
                SchedulingType.SEQUENTIAL,
                new OutputDescriptor(
                    OnFileSortedOutput.class.getName()),
                new InputDescriptor(
                    ShuffledMergedInputLegacy.class.getName()))));
      }
    }
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      taID, capability, new TaskSpec(taID, "vertexName",
      new ProcessorDescriptor("processorClassName"),
      Collections.singletonList(new InputSpec("vertexName",
        new InputDescriptor("inputClassName"), 1)),
      Collections.singletonList(new OutputSpec("vertexName",
        new OutputDescriptor("outputClassName"), 1)), null), ta, hosts, racks,
      priority, containerContext);
    return lr;
  }
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   *
   * @param vertex
   * @param userPayload
   */
  public static void addMROutput(Vertex vertex, byte[] userPayload) {
    OutputDescriptor od = new OutputDescriptor(MROutput.class.getName())
        .setUserPayload(userPayload);
    vertex.addOutput("MROutput", od);
  }
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    InputSpec mapInputSpec = new InputSpec("NullSrcVertex",
        new InputDescriptor(MRInputLegacy.class.getName())
            .setUserPayload(MRHelpers.createMRInputPayload(mapConf, null)),
        0);
    OutputSpec mapOutputSpec = new OutputSpec("NullDestVertex", new OutputDescriptor(LocalOnFileSorterOutput.class.getName()), 1);
    // Run a map
    LogicalIOProcessorRuntimeTask mapTask = MapUtils.createLogicalTask(localFs, workDir, mapConf, 0,
        mapInput, new TestUmbilical(), mapVertexName,
        Collections.singletonList(mapInputSpec),
        Collections.singletonList(mapOutputSpec));

    mapTask.initialize();
    mapTask.run();
    mapTask.close();
   
    LOG.info("Starting reduce...");
   
    Token<JobTokenIdentifier> shuffleToken = new Token<JobTokenIdentifier>();
   
    Configuration reduceStageConf = MultiStageMRConfigUtil.getConfForVertex(conf,
        reduceVertexName);
    JobConf reduceConf = new JobConf(reduceStageConf);
    reduceConf.setOutputFormat(SequenceFileOutputFormat.class);
    reduceConf.set(TezJobConfig.TASK_LOCAL_RESOURCE_DIR, new Path(workDir,
        "localized-resources").toUri().toString());
    FileOutputFormat.setOutputPath(reduceConf, new Path(workDir, "output"));
    ProcessorDescriptor reduceProcessorDesc = new ProcessorDescriptor(
        ReduceProcessor.class.getName()).setUserPayload(TezUtils.createUserPayloadFromConf(reduceConf));
   
    InputSpec reduceInputSpec = new InputSpec(mapVertexName, new InputDescriptor(LocalMergedInput.class.getName()), 1);
    OutputSpec reduceOutputSpec = new OutputSpec("NullDestinationVertex", new OutputDescriptor(MROutput.class.getName()), 1);
   
    // Now run a reduce
    TaskSpec taskSpec = new TaskSpec(
        TezTestUtils.getMockTaskAttemptId(0, 1, 0, 0),
        "testUser",
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    MRHelpers.updateEnvironmentForMRTasks(stage2Conf, stage2Env, false);
    stage2Vertex.setTaskEnvironment(stage2Env);

    // Configure the Output for stage2
    stage2Vertex.addOutput("MROutput",
        new OutputDescriptor(MROutput.class.getName()).setUserPayload(MRHelpers
            .createUserPayloadFromConf(stage2Conf)));

    DAG dag = new DAG("FilterLinesByWord");
    Edge edge = new Edge(stage1Vertex, stage2Vertex, new EdgeProperty(
        DataMovementType.BROADCAST, DataSourceType.PERSISTED,
        SchedulingType.SEQUENTIAL, new OutputDescriptor(
            OnFileUnorderedKVOutput.class.getName()), new InputDescriptor(
            ShuffledUnorderedKVInput.class.getName())));
    dag.addVertex(stage1Vertex).addVertex(stage2Vertex).addEdge(edge);

    LOG.info("Submitting DAG to Tez Session");
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      if (i != 0) {
        dag.addEdge(new Edge(vertices.get(i-1),
            vertices.get(i), new EdgeProperty(
                DataMovementType.SCATTER_GATHER, DataSourceType.PERSISTED,
                SchedulingType.SEQUENTIAL,
                new OutputDescriptor(
                    OnFileSortedOutput.class.getName()),
                new InputDescriptor(
                    ShuffledMergedInputLegacy.class.getName()))));
      }
    }
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      dag.addVertex(vertices[i]);
      if (i > 0) {
        EdgeProperty edgeProperty = new EdgeProperty(
            DataMovementType.SCATTER_GATHER, DataSourceType.PERSISTED,
            SchedulingType.SEQUENTIAL,
            new OutputDescriptor(OnFileSortedOutput.class.getName()),
            new InputDescriptor(ShuffledMergedInputLegacy.class.getName()));

        Edge edge = null;
        edge = new Edge(vertices[i - 1], vertices[i], edgeProperty);
        dag.addEdge(edge);
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Related Classes of org.apache.tez.dag.api.OutputDescriptor

  • org.apache.hadoop.hive.ql.exec.tez.DagUtils
  • org.apache.pig.backend.hadoop.executionengine.tez.TezDagBuilder
  • org.apache.tez.dag.app.dag.impl.TestDAGImpl
  • org.apache.tez.dag.app.dag.impl.TestVertexScheduler
  • org.apache.tez.dag.app.dag.impl.VertexImpl
  • org.apache.tez.dag.app.rm.TestContainerReuse
  • org.apache.tez.dag.history.utils.TestDAGUtils
  • org.apache.tez.dag.library.vertexmanager.TestShuffleVertexManager
  • org.apache.tez.mapreduce.client.YARNRunner
  • org.apache.tez.mapreduce.examples.FilterLinesByWord
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