Examples with StreamEdge org.apache.flink.streaming.api.graph.StreamEdge used on opensource projects

Example 26 with StreamEdge

use of org.apache.flink.streaming.api.graph.StreamEdge in project flink by apache.

the class ForwardForUnspecifiedPartitionerTest method testConvertToRescalePartitioner.

@Test
public void testConvertToRescalePartitioner() {
    JobGraph jobGraph = StreamPartitionerTestUtils.createJobGraph("group1", "group2", new ForwardForUnspecifiedPartitioner<>());
    List<JobVertex> jobVertices = jobGraph.getVerticesSortedTopologicallyFromSources();
    assertThat(jobVertices.size(), is(2));
    JobVertex sourceVertex = jobGraph.getVerticesSortedTopologicallyFromSources().get(0);
    StreamConfig sourceConfig = new StreamConfig(sourceVertex.getConfiguration());
    StreamEdge edge = sourceConfig.getNonChainedOutputs(getClass().getClassLoader()).get(0);
    assertThat(edge.getPartitioner(), instanceOf(RescalePartitioner.class));
}

Example 27 with StreamEdge

use of org.apache.flink.streaming.api.graph.StreamEdge in project flink by apache.

the class IterateITCase method testmultipleHeadsTailsSimple.

@Test
public void testmultipleHeadsTailsSimple() {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<Integer> source1 = env.fromElements(1, 2, 3, 4, 5).shuffle().map(noOpIntMap).name("ParallelizeMapShuffle");
    DataStream<Integer> source2 = env.fromElements(1, 2, 3, 4, 5).map(noOpIntMap).name("ParallelizeMapRebalance");
    IterativeStream<Integer> iter1 = source1.union(source2).iterate();
    DataStream<Integer> head1 = iter1.map(noOpIntMap).name("IterRebalanceMap").setParallelism(parallelism / 2);
    DataStream<Integer> head2 = iter1.map(noOpIntMap).name("IterForwardMap");
    DataStreamSink<Integer> head3 = iter1.map(noOpIntMap).setParallelism(parallelism / 2).addSink(new ReceiveCheckNoOpSink<Integer>());
    DataStreamSink<Integer> head4 = iter1.map(noOpIntMap).addSink(new ReceiveCheckNoOpSink<Integer>());
    OutputTag<Integer> even = new OutputTag<Integer>("even") {
    };
    OutputTag<Integer> odd = new OutputTag<Integer>("odd") {
    };
    SingleOutputStreamOperator<Object> source3 = env.fromElements(1, 2, 3, 4, 5).map(noOpIntMap).name("EvenOddSourceMap").process(new ProcessFunction<Integer, Object>() {

        @Override
        public void processElement(Integer value, Context ctx, Collector<Object> out) throws Exception {
            if (value % 2 == 0) {
                ctx.output(even, value);
            } else {
                ctx.output(odd, value);
            }
        }
    });
    iter1.closeWith(source3.getSideOutput(even).union(head1.rebalance().map(noOpIntMap).broadcast(), head2.shuffle()));
    StreamGraph graph = env.getStreamGraph();
    JobGraph jg = graph.getJobGraph();
    assertEquals(1, graph.getIterationSourceSinkPairs().size());
    Tuple2<StreamNode, StreamNode> sourceSinkPair = graph.getIterationSourceSinkPairs().iterator().next();
    StreamNode itSource = sourceSinkPair.f0;
    StreamNode itSink = sourceSinkPair.f1;
    assertEquals(4, itSource.getOutEdges().size());
    assertEquals(3, itSink.getInEdges().size());
    assertEquals(itSource.getParallelism(), itSink.getParallelism());
    for (StreamEdge edge : itSource.getOutEdges()) {
        if (graph.getTargetVertex(edge).getOperatorName().equals("IterRebalanceMap")) {
            assertTrue(edge.getPartitioner() instanceof RebalancePartitioner);
        } else if (graph.getTargetVertex(edge).getOperatorName().equals("IterForwardMap")) {
            assertTrue(edge.getPartitioner() instanceof ForwardPartitioner);
        }
    }
    for (StreamEdge edge : itSink.getInEdges()) {
        if (graph.getStreamNode(edge.getSourceId()).getOperatorName().equals("ParallelizeMapShuffle")) {
            assertTrue(edge.getPartitioner() instanceof ShufflePartitioner);
        }
        if (graph.getStreamNode(edge.getSourceId()).getOperatorName().equals("ParallelizeMapForward")) {
            assertTrue(edge.getPartitioner() instanceof ForwardPartitioner);
        }
        if (graph.getStreamNode(edge.getSourceId()).getOperatorName().equals("EvenOddSourceMap")) {
            assertTrue(edge.getPartitioner() instanceof ForwardPartitioner);
        }
    }
    // Test co-location
    JobVertex itSource1 = null;
    JobVertex itSink1 = null;
    for (JobVertex vertex : jg.getVertices()) {
        if (vertex.getName().contains("IterationSource")) {
            itSource1 = vertex;
        } else if (vertex.getName().contains("IterationSink")) {
            itSink1 = vertex;
        }
    }
    assertTrue(itSource1.getCoLocationGroup() != null);
    assertEquals(itSource1.getCoLocationGroup(), itSink1.getCoLocationGroup());
}