Examples with OneInputTransformation org.apache.flink.streaming.api.transformations.OneInputTransformation used on opensource projects

Example 81 with OneInputTransformation

use of org.apache.flink.streaming.api.transformations.OneInputTransformation in project flink by apache.

the class PythonOperatorChainingOptimizer method replaceInput.

private static void replaceInput(Transformation<?> transformation, Transformation<?> oldInput, Transformation<?> newInput) {
    try {
        if (transformation instanceof OneInputTransformation || transformation instanceof FeedbackTransformation || transformation instanceof SideOutputTransformation || transformation instanceof ReduceTransformation || transformation instanceof SinkTransformation || transformation instanceof LegacySinkTransformation || transformation instanceof TimestampsAndWatermarksTransformation || transformation instanceof PartitionTransformation) {
            final Field inputField = transformation.getClass().getDeclaredField("input");
            inputField.setAccessible(true);
            inputField.set(transformation, newInput);
        } else if (transformation instanceof TwoInputTransformation) {
            final Field inputField;
            if (((TwoInputTransformation<?, ?, ?>) transformation).getInput1() == oldInput) {
                inputField = transformation.getClass().getDeclaredField("input1");
            } else {
                inputField = transformation.getClass().getDeclaredField("input2");
            }
            inputField.setAccessible(true);
            inputField.set(transformation, newInput);
        } else if (transformation instanceof UnionTransformation || transformation instanceof AbstractMultipleInputTransformation) {
            final Field inputsField = transformation.getClass().getDeclaredField("inputs");
            inputsField.setAccessible(true);
            List<Transformation<?>> newInputs = Lists.newArrayList();
            newInputs.addAll(transformation.getInputs());
            newInputs.remove(oldInput);
            newInputs.add(newInput);
            inputsField.set(transformation, newInputs);
        } else if (transformation instanceof AbstractBroadcastStateTransformation) {
            final Field inputField;
            if (((AbstractBroadcastStateTransformation<?, ?, ?>) transformation).getRegularInput() == oldInput) {
                inputField = transformation.getClass().getDeclaredField("regularInput");
            } else {
                inputField = transformation.getClass().getDeclaredField("broadcastInput");
            }
            inputField.setAccessible(true);
            inputField.set(transformation, newInput);
        } else {
            throw new RuntimeException("Unsupported transformation: " + transformation);
        }
    } catch (NoSuchFieldException | IllegalAccessException e) {
        // This should never happen
        throw new RuntimeException(e);
    }
}

Example 82 with OneInputTransformation

use of org.apache.flink.streaming.api.transformations.OneInputTransformation in project beam by apache.

the class FlinkStreamingTransformTranslatorsTest method readSourceTranslatorUnboundedWithMaxParallelism.

@Test
public void readSourceTranslatorUnboundedWithMaxParallelism() {
    final int maxParallelism = 6;
    final int parallelism = 2;
    SplittableParDo.PrimitiveUnboundedRead<String> transform = new SplittableParDo.PrimitiveUnboundedRead<>(Read.from(new TestUnboundedSource()));
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setParallelism(parallelism);
    env.setMaxParallelism(maxParallelism);
    OneInputTransformation<?, ?> sourceTransform = (OneInputTransformation) applyReadSourceTransform(transform, PCollection.IsBounded.UNBOUNDED, env);
    UnboundedSourceWrapper source = (UnboundedSourceWrapper) SourceTransformationCompat.getOperator(StreamSources.getOnlyInput(sourceTransform)).getUserFunction();
    assertEquals(maxParallelism, source.getSplitSources().size());
}

Example 83 with OneInputTransformation

use of org.apache.flink.streaming.api.transformations.OneInputTransformation in project flink by apache.

the class StreamingJobGraphGeneratorTest method testOperatorCoordinatorAddedToJobVertex.

@Test
public void testOperatorCoordinatorAddedToJobVertex() {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<Integer> stream = env.fromSource(new MockSource(Boundedness.BOUNDED, 1), WatermarkStrategy.noWatermarks(), "TestingSource");
    OneInputTransformation<Integer, Integer> resultTransform = new OneInputTransformation<Integer, Integer>(stream.getTransformation(), "AnyName", new CoordinatedTransformOperatorFactory(), BasicTypeInfo.INT_TYPE_INFO, env.getParallelism());
    new TestingSingleOutputStreamOperator<>(env, resultTransform).print();
    JobGraph jobGraph = StreamingJobGraphGenerator.createJobGraph(env.getStreamGraph());
    assertEquals(2, jobGraph.getVerticesAsArray()[0].getOperatorCoordinators().size());
}

Example 84 with OneInputTransformation

use of org.apache.flink.streaming.api.transformations.OneInputTransformation in project flink by apache.

the class WindowTranslationTest method testApplyEventTime.

// ------------------------------------------------------------------------
// Apply Translation Tests
// ------------------------------------------------------------------------
@Test
@SuppressWarnings("rawtypes")
public void testApplyEventTime() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));
    DataStream<Tuple2<String, Integer>> window1 = source.keyBy(new TupleKeySelector()).window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).apply(new WindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, String, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(String key, TimeWindow window, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception {
            for (Tuple2<String, Integer> in : values) {
                out.collect(in);
            }
        }
    });
    OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform = (OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window1.getTransformation();
    OneInputStreamOperator<Tuple2<String, Integer>, Tuple2<String, Integer>> operator = transform.getOperator();
    Assert.assertTrue(operator instanceof WindowOperator);
    WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?> winOperator = (WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?>) operator;
    Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}

Example 85 with OneInputTransformation

use of org.apache.flink.streaming.api.transformations.OneInputTransformation in project flink by apache.

the class WindowTranslationTest method testAggregateProcessingTime.

@Test
public void testAggregateProcessingTime() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<Tuple3<String, String, Integer>> source = env.fromElements(Tuple3.of("hello", "hallo", 1), Tuple3.of("hello", "hallo", 2));
    DataStream<Integer> window1 = source.keyBy(new Tuple3KeySelector()).window(SlidingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).aggregate(new DummyAggregationFunction());
    final OneInputTransformation<Tuple3<String, String, Integer>, Integer> transform = (OneInputTransformation<Tuple3<String, String, Integer>, Integer>) window1.getTransformation();
    final OneInputStreamOperator<Tuple3<String, String, Integer>, Integer> operator = transform.getOperator();
    Assert.assertTrue(operator instanceof WindowOperator);
    WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator = (WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;
    Assert.assertTrue(winOperator.getTrigger() instanceof ProcessingTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingProcessingTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}