use of org.apache.flink.util.OutputTag in project flink-mirror by flink-ci.
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());
}
use of org.apache.flink.util.OutputTag in project flink-mirror by flink-ci.
the class IterateITCase method testmultipleHeadsTailsWithTailPartitioning.
@Test
public void testmultipleHeadsTailsWithTailPartitioning() {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
DataStream<Integer> source1 = env.fromElements(1, 2, 3, 4, 5).shuffle().map(noOpIntMap);
DataStream<Integer> source2 = env.fromElements(1, 2, 3, 4, 5).map(noOpIntMap);
IterativeStream<Integer> iter1 = source1.union(source2).iterate();
DataStream<Integer> head1 = iter1.map(noOpIntMap).name("map1");
DataStream<Integer> head2 = iter1.map(noOpIntMap).setParallelism(parallelism / 2).name("shuffle").rebalance();
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("split").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.map(noOpIntMap).name("bc").broadcast(), head2.map(noOpIntMap).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("map1")) {
assertTrue(edge.getPartitioner() instanceof ForwardPartitioner);
assertEquals(4, graph.getTargetVertex(edge).getParallelism());
} else if (graph.getTargetVertex(edge).getOperatorName().equals("shuffle")) {
assertTrue(edge.getPartitioner() instanceof RebalancePartitioner);
assertEquals(2, graph.getTargetVertex(edge).getParallelism());
}
}
for (StreamEdge edge : itSink.getInEdges()) {
String tailName = graph.getSourceVertex(edge).getOperatorName();
if (tailName.equals("split")) {
assertTrue(edge.getPartitioner() instanceof ForwardPartitioner);
} else if (tailName.equals("bc")) {
assertTrue(edge.getPartitioner() instanceof BroadcastPartitioner);
} else if (tailName.equals("shuffle")) {
assertTrue(edge.getPartitioner() instanceof ShufflePartitioner);
}
}
// 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);
assertTrue(itSink1.getCoLocationGroup() != null);
assertEquals(itSource1.getCoLocationGroup(), itSink1.getCoLocationGroup());
}
use of org.apache.flink.util.OutputTag in project flink-mirror by flink-ci.
the class OperatorChain method createStreamOutput.
private RecordWriterOutput<OUT> createStreamOutput(RecordWriter<SerializationDelegate<StreamRecord<OUT>>> recordWriter, StreamEdge edge, StreamConfig upStreamConfig, Environment taskEnvironment) {
// OutputTag, return null if not sideOutput
OutputTag sideOutputTag = edge.getOutputTag();
TypeSerializer outSerializer;
if (edge.getOutputTag() != null) {
// side output
outSerializer = upStreamConfig.getTypeSerializerSideOut(edge.getOutputTag(), taskEnvironment.getUserCodeClassLoader().asClassLoader());
} else {
// main output
outSerializer = upStreamConfig.getTypeSerializerOut(taskEnvironment.getUserCodeClassLoader().asClassLoader());
}
return closer.register(new RecordWriterOutput<OUT>(recordWriter, outSerializer, sideOutputTag, edge.supportsUnalignedCheckpoints()));
}
use of org.apache.flink.util.OutputTag in project flink-mirror by flink-ci.
the class OperatorChain method createChainedSources.
@SuppressWarnings("rawtypes")
private Map<StreamConfig.SourceInputConfig, ChainedSource> createChainedSources(StreamTask<OUT, OP> containingTask, StreamConfig.InputConfig[] configuredInputs, Map<Integer, StreamConfig> chainedConfigs, ClassLoader userCodeClassloader, List<StreamOperatorWrapper<?, ?>> allOpWrappers) {
if (Arrays.stream(configuredInputs).noneMatch(input -> input instanceof StreamConfig.SourceInputConfig)) {
return Collections.emptyMap();
}
checkState(mainOperatorWrapper.getStreamOperator() instanceof MultipleInputStreamOperator, "Creating chained input is only supported with MultipleInputStreamOperator and MultipleInputStreamTask");
Map<StreamConfig.SourceInputConfig, ChainedSource> chainedSourceInputs = new HashMap<>();
MultipleInputStreamOperator<?> multipleInputOperator = (MultipleInputStreamOperator<?>) mainOperatorWrapper.getStreamOperator();
List<Input> operatorInputs = multipleInputOperator.getInputs();
int sourceInputGateIndex = Arrays.stream(containingTask.getEnvironment().getAllInputGates()).mapToInt(IndexedInputGate::getInputGateIndex).max().orElse(-1) + 1;
for (int inputId = 0; inputId < configuredInputs.length; inputId++) {
if (!(configuredInputs[inputId] instanceof StreamConfig.SourceInputConfig)) {
continue;
}
StreamConfig.SourceInputConfig sourceInput = (StreamConfig.SourceInputConfig) configuredInputs[inputId];
int sourceEdgeId = sourceInput.getInputEdge().getSourceId();
StreamConfig sourceInputConfig = chainedConfigs.get(sourceEdgeId);
OutputTag outputTag = sourceInput.getInputEdge().getOutputTag();
WatermarkGaugeExposingOutput chainedSourceOutput = createChainedSourceOutput(containingTask, sourceInputConfig, userCodeClassloader, getFinishedOnRestoreInputOrDefault(operatorInputs.get(inputId)), multipleInputOperator.getMetricGroup(), outputTag);
SourceOperator<?, ?> sourceOperator = (SourceOperator<?, ?>) createOperator(containingTask, sourceInputConfig, userCodeClassloader, (WatermarkGaugeExposingOutput<StreamRecord<OUT>>) chainedSourceOutput, allOpWrappers, true);
chainedSourceInputs.put(sourceInput, new ChainedSource(chainedSourceOutput, this.isTaskDeployedAsFinished() ? new StreamTaskFinishedOnRestoreSourceInput<>(sourceOperator, sourceInputGateIndex++, inputId) : new StreamTaskSourceInput<>(sourceOperator, sourceInputGateIndex++, inputId)));
}
return chainedSourceInputs;
}
use of org.apache.flink.util.OutputTag in project flink-mirror by flink-ci.
the class SideOutputITCase method testProcessdWindowFunctionSideOutput.
@Test
public void testProcessdWindowFunctionSideOutput() throws Exception {
TestListResultSink<Integer> resultSink = new TestListResultSink<>();
TestListResultSink<String> sideOutputResultSink = new TestListResultSink<>();
StreamExecutionEnvironment see = StreamExecutionEnvironment.getExecutionEnvironment();
see.setParallelism(3);
DataStream<Integer> dataStream = see.fromCollection(elements);
OutputTag<String> sideOutputTag = new OutputTag<String>("side") {
};
SingleOutputStreamOperator<Integer> windowOperator = dataStream.assignTimestampsAndWatermarks(new TestWatermarkAssigner()).keyBy(new TestKeySelector()).window(SlidingEventTimeWindows.of(Time.milliseconds(1), Time.milliseconds(1))).process(new ProcessWindowFunction<Integer, Integer, Integer, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(Integer integer, Context context, Iterable<Integer> elements, Collector<Integer> out) throws Exception {
out.collect(integer);
context.output(sideOutputTag, "sideout-" + String.valueOf(integer));
}
});
windowOperator.getSideOutput(sideOutputTag).addSink(sideOutputResultSink);
windowOperator.addSink(resultSink);
see.execute();
assertEquals(Arrays.asList("sideout-1", "sideout-2", "sideout-5"), sideOutputResultSink.getSortedResult());
assertEquals(Arrays.asList(1, 2, 5), resultSink.getSortedResult());
}
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