示例#1
0
  /**
   * Parameter {@code uploadedJarLocation} is actually used to point to the local jar, because Flink
   * does not support uploading a jar file before hand. Jar files are always uploaded directly when
   * a program is submitted.
   */
  public void submitTopologyWithOpts(
      final String name, final String uploadedJarLocation, final FlinkTopology topology)
      throws AlreadyAliveException, InvalidTopologyException {

    if (this.getTopologyJobId(name) != null) {
      throw new AlreadyAliveException();
    }

    final URI uploadedJarUri;
    final URL uploadedJarUrl;
    try {
      uploadedJarUri = new File(uploadedJarLocation).getAbsoluteFile().toURI();
      uploadedJarUrl = uploadedJarUri.toURL();
      JobWithJars.checkJarFile(uploadedJarUrl);
    } catch (final IOException e) {
      throw new RuntimeException("Problem with jar file " + uploadedJarLocation, e);
    }

    try {
      FlinkClient.addStormConfigToTopology(topology, conf);
    } catch (ClassNotFoundException e) {
      LOG.error("Could not register class for Kryo serialization.", e);
      throw new InvalidTopologyException("Could not register class for Kryo serialization.");
    }

    final StreamGraph streamGraph = topology.getExecutionEnvironment().getStreamGraph();
    streamGraph.setJobName(name);

    final JobGraph jobGraph = streamGraph.getJobGraph();
    jobGraph.addJar(new Path(uploadedJarUri));

    final Configuration configuration = jobGraph.getJobConfiguration();
    configuration.setString(ConfigConstants.JOB_MANAGER_IPC_ADDRESS_KEY, jobManagerHost);
    configuration.setInteger(ConfigConstants.JOB_MANAGER_IPC_PORT_KEY, jobManagerPort);

    final Client client;
    try {
      client = new Client(configuration);
    } catch (IOException e) {
      throw new RuntimeException("Could not establish a connection to the job manager", e);
    }

    try {
      ClassLoader classLoader =
          JobWithJars.buildUserCodeClassLoader(
              Lists.newArrayList(uploadedJarUrl),
              Collections.<URL>emptyList(),
              this.getClass().getClassLoader());
      client.runDetached(jobGraph, classLoader);
    } catch (final ProgramInvocationException e) {
      throw new RuntimeException("Cannot execute job due to ProgramInvocationException", e);
    }
  }
示例#2
0
  @SuppressWarnings("rawtypes")
  public void submitTopologyWithOpts(
      final String topologyName,
      final Map conf,
      final FlinkTopology topology,
      final SubmitOptions submitOpts)
      throws Exception {
    LOG.info("Running Storm topology on FlinkLocalCluster");

    if (conf != null) {
      topology.getConfig().setGlobalJobParameters(new StormConfig(conf));
    }

    StreamGraph streamGraph = topology.getStreamGraph();
    streamGraph.setJobName(topologyName);

    JobGraph jobGraph = streamGraph.getJobGraph();
    this.flink.submitJobDetached(jobGraph);
  }
示例#3
0
 private static StreamOperator<?> getOperatorForDataStream(DataStream<?> dataStream) {
   StreamExecutionEnvironment env = dataStream.getExecutionEnvironment();
   StreamGraph streamGraph = env.getStreamGraph();
   return streamGraph.getStreamNode(dataStream.getId()).getOperator();
 }
示例#4
0
  /**
   * Tests union functionality. This ensures that self-unions and unions of streams with differing
   * parallelism work.
   *
   * @throws Exception
   */
  @Test
  public void testUnion() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setParallelism(4);

    DataStream<Long> input1 =
        env.generateSequence(0, 0)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                });

    DataStream<Long> selfUnion =
        input1
            .union(input1)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                });

    DataStream<Long> input6 =
        env.generateSequence(0, 0)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                });

    DataStream<Long> selfUnionDifferentPartition =
        input6
            .broadcast()
            .union(input6)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                });

    DataStream<Long> input2 =
        env.generateSequence(0, 0)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                })
            .setParallelism(4);

    DataStream<Long> input3 =
        env.generateSequence(0, 0)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                })
            .setParallelism(2);

    DataStream<Long> unionDifferingParallelism =
        input2
            .union(input3)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                })
            .setParallelism(4);

    DataStream<Long> input4 =
        env.generateSequence(0, 0)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                })
            .setParallelism(2);

    DataStream<Long> input5 =
        env.generateSequence(0, 0)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                })
            .setParallelism(4);

    DataStream<Long> unionDifferingPartitioning =
        input4
            .broadcast()
            .union(input5)
            .map(
                new MapFunction<Long, Long>() {
                  @Override
                  public Long map(Long value) throws Exception {
                    return null;
                  }
                })
            .setParallelism(4);

    StreamGraph streamGraph = env.getStreamGraph();

    // verify self union
    assertTrue(streamGraph.getStreamNode(selfUnion.getId()).getInEdges().size() == 2);
    for (StreamEdge edge : streamGraph.getStreamNode(selfUnion.getId()).getInEdges()) {
      assertTrue(edge.getPartitioner() instanceof ForwardPartitioner);
    }

    // verify self union with differnt partitioners
    assertTrue(
        streamGraph.getStreamNode(selfUnionDifferentPartition.getId()).getInEdges().size() == 2);
    boolean hasForward = false;
    boolean hasBroadcast = false;
    for (StreamEdge edge :
        streamGraph.getStreamNode(selfUnionDifferentPartition.getId()).getInEdges()) {
      if (edge.getPartitioner() instanceof ForwardPartitioner) {
        hasForward = true;
      }
      if (edge.getPartitioner() instanceof BroadcastPartitioner) {
        hasBroadcast = true;
      }
    }
    assertTrue(hasForward && hasBroadcast);

    // verify union of streams with differing parallelism
    assertTrue(
        streamGraph.getStreamNode(unionDifferingParallelism.getId()).getInEdges().size() == 2);
    for (StreamEdge edge :
        streamGraph.getStreamNode(unionDifferingParallelism.getId()).getInEdges()) {
      if (edge.getSourceId() == input2.getId()) {
        assertTrue(edge.getPartitioner() instanceof ForwardPartitioner);
      } else if (edge.getSourceId() == input3.getId()) {
        assertTrue(edge.getPartitioner() instanceof RebalancePartitioner);
      } else {
        fail("Wrong input edge.");
      }
    }

    // verify union of streams with differing partitionings
    assertTrue(
        streamGraph.getStreamNode(unionDifferingPartitioning.getId()).getInEdges().size() == 2);
    for (StreamEdge edge :
        streamGraph.getStreamNode(unionDifferingPartitioning.getId()).getInEdges()) {
      if (edge.getSourceId() == input4.getId()) {
        assertTrue(edge.getPartitioner() instanceof BroadcastPartitioner);
      } else if (edge.getSourceId() == input5.getId()) {
        assertTrue(edge.getPartitioner() instanceof ForwardPartitioner);
      } else {
        fail("Wrong input edge.");
      }
    }
  }