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

Example 71 with OneInputTransformation

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

the class WindowTranslationTest method testFoldWithWindowFunctionProcessingTime.

@Test
@SuppressWarnings("rawtypes")
public void testFoldWithWindowFunctionProcessingTime() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);
    DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));
    DataStream<Tuple2<String, Integer>> window = source.keyBy(new TupleKeySelector()).window(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).fold(new Tuple3<>("", "empty", 0), new DummyFolder(), new WindowFunction<Tuple3<String, String, Integer>, Tuple2<String, Integer>, String, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(String key, TimeWindow window, Iterable<Tuple3<String, String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception {
            for (Tuple3<String, String, Integer> in : values) {
                out.collect(new Tuple2<>(in.f0, in.f2));
            }
        }
    });
    OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform = (OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window.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 ProcessingTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof FoldingStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}

Example 72 with OneInputTransformation

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

the class TimeWindowTranslationTest method testNonParallelFastTimeWindows.

/**
	 * These tests ensure that the fast aligned time windows operator is used if the
	 * conditions are right.
	 *
	 * TODO: update once the fast aligned time windows operator is in
	 */
@Ignore
@Test
public void testNonParallelFastTimeWindows() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));
    DummyReducer reducer = new DummyReducer();
    DataStream<Tuple2<String, Integer>> window1 = source.timeWindowAll(Time.of(1000, TimeUnit.MILLISECONDS), Time.of(100, TimeUnit.MILLISECONDS)).reduce(reducer);
    OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform1 = (OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window1.getTransformation();
    OneInputStreamOperator<Tuple2<String, Integer>, Tuple2<String, Integer>> operator1 = transform1.getOperator();
    Assert.assertTrue(operator1 instanceof AggregatingProcessingTimeWindowOperator);
    DataStream<Tuple2<String, Integer>> window2 = source.timeWindowAll(Time.of(1000, TimeUnit.MILLISECONDS)).apply(new AllWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(TimeWindow window, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception {
        }
    });
    OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform2 = (OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window2.getTransformation();
    OneInputStreamOperator<Tuple2<String, Integer>, Tuple2<String, Integer>> operator2 = transform2.getOperator();
    Assert.assertTrue(operator2 instanceof AccumulatingProcessingTimeWindowOperator);
}

Example 73 with OneInputTransformation

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

the class TimeWindowTranslationTest method testReduceAlignedTimeWindows.

/**
	 * These tests ensure that the fast aligned time windows operator is used if the
	 * conditions are right.
	 */
@Test
public void testReduceAlignedTimeWindows() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);
    DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));
    DummyReducer reducer = new DummyReducer();
    DataStream<Tuple2<String, Integer>> window1 = source.keyBy(0).window(SlidingAlignedProcessingTimeWindows.of(Time.of(1000, TimeUnit.MILLISECONDS), Time.of(100, TimeUnit.MILLISECONDS))).reduce(reducer);
    OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform1 = (OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window1.getTransformation();
    OneInputStreamOperator<Tuple2<String, Integer>, Tuple2<String, Integer>> operator1 = transform1.getOperator();
    Assert.assertTrue(operator1 instanceof AggregatingProcessingTimeWindowOperator);
}

Example 74 with OneInputTransformation

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

the class WindowTranslationTest method testFoldWithEvictorAndProcessFunction.

@Test
@SuppressWarnings({ "rawtypes", "unchecked" })
public void testFoldWithEvictorAndProcessFunction() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);
    DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));
    DataStream<Tuple3<String, String, Integer>> window1 = source.keyBy(0).window(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).evictor(CountEvictor.of(100)).fold(new Tuple3<>("", "", 1), new DummyFolder(), new ProcessWindowFunction<Tuple3<String, String, Integer>, Tuple3<String, String, Integer>, Tuple, TimeWindow>() {

        @Override
        public void process(Tuple tuple, Context context, Iterable<Tuple3<String, String, Integer>> elements, Collector<Tuple3<String, String, Integer>> out) throws Exception {
            for (Tuple3<String, String, Integer> in : elements) {
                out.collect(in);
            }
        }
    });
    OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>> transform = (OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>>) window1.getTransformation();
    OneInputStreamOperator<Tuple2<String, Integer>, Tuple3<String, String, Integer>> operator = transform.getOperator();
    Assert.assertTrue(operator instanceof EvictingWindowOperator);
    EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?> winOperator = (EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?>) operator;
    Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
    Assert.assertTrue(winOperator.getEvictor() instanceof CountEvictor);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor);
    winOperator.setOutputType((TypeInformation) window1.getType(), new ExecutionConfig());
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}

Example 75 with OneInputTransformation

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

the class WindowTranslationTest method testFoldWithCustomTrigger.

@Test
@SuppressWarnings("rawtypes")
public void testFoldWithCustomTrigger() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);
    DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));
    DataStream<Tuple3<String, String, Integer>> window1 = source.keyBy(0).window(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).trigger(CountTrigger.of(1)).fold(new Tuple3<>("", "", 1), new DummyFolder());
    OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>> transform = (OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>>) window1.getTransformation();
    OneInputStreamOperator<Tuple2<String, Integer>, Tuple3<String, 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 CountTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof FoldingStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}