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Example 76 with TimeWindow

use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.

the class AllWindowTranslationTest method testApplyWithCustomTrigger.

@Test
@SuppressWarnings("rawtypes")
public void testApplyWithCustomTrigger() 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>> window1 = source.windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).trigger(CountTrigger.of(1)).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 {
            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 CountTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : TumblingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows) ListStateDescriptor(org.apache.flink.api.common.state.ListStateDescriptor) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) Tuple2(org.apache.flink.api.java.tuple.Tuple2) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) OneInputTransformation(org.apache.flink.streaming.api.transformations.OneInputTransformation) CountTrigger(org.apache.flink.streaming.api.windowing.triggers.CountTrigger) Test(org.junit.Test)

Example 77 with TimeWindow

use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.

the class AllWindowTranslationTest method testReduceWithEvictorAndProcessFunction.

@Test
@SuppressWarnings("rawtypes")
public void testReduceWithEvictorAndProcessFunction() 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));
    DummyReducer reducer = new DummyReducer();
    DataStream<Tuple2<String, Integer>> window1 = source.windowAll(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).evictor(CountEvictor.of(100)).reduce(reducer, new ProcessAllWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow>() {

        @Override
        public void process(Context context, Iterable<Tuple2<String, Integer>> elements, Collector<Tuple2<String, Integer>> out) throws Exception {
            for (Tuple2<String, Integer> in : elements) {
                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 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);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : SlidingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.SlidingEventTimeWindows) ListStateDescriptor(org.apache.flink.api.common.state.ListStateDescriptor) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) CountEvictor(org.apache.flink.streaming.api.windowing.evictors.CountEvictor) Tuple2(org.apache.flink.api.java.tuple.Tuple2) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) OneInputTransformation(org.apache.flink.streaming.api.transformations.OneInputTransformation) EventTimeTrigger(org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger) Test(org.junit.Test)

Example 78 with TimeWindow

use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.

the class AllWindowTranslationTest method testFoldWithProcessAllWindowFunctionProcessingTime.

@Test
@SuppressWarnings("rawtypes")
public void testFoldWithProcessAllWindowFunctionProcessingTime() 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.windowAll(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).fold(new Tuple3<>("", "empty", 0), new DummyFolder(), new ProcessAllWindowFunction<Tuple3<String, String, Integer>, Tuple2<String, Integer>, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void process(Context ctx, 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));
}
Also used : ProcessingTimeTrigger(org.apache.flink.streaming.api.windowing.triggers.ProcessingTimeTrigger) FoldingStateDescriptor(org.apache.flink.api.common.state.FoldingStateDescriptor) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) TumblingProcessingTimeWindows(org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows) Tuple2(org.apache.flink.api.java.tuple.Tuple2) Tuple3(org.apache.flink.api.java.tuple.Tuple3) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) OneInputTransformation(org.apache.flink.streaming.api.transformations.OneInputTransformation) Test(org.junit.Test)

Example 79 with TimeWindow

use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.

the class AllWindowTranslationTest method testApplyWithPreFolderEventTime.

@Test
@SuppressWarnings("rawtypes")
public void testApplyWithPreFolderEventTime() 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>> window = source.windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).apply(new Tuple3<>("", "", 0), new DummyFolder(), new AllWindowFunction<Tuple3<String, String, Integer>, Tuple3<String, String, Integer>, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(TimeWindow window, Iterable<Tuple3<String, String, Integer>> values, Collector<Tuple3<String, String, Integer>> out) throws Exception {
            for (Tuple3<String, String, Integer> in : values) {
                out.collect(new Tuple3<>(in.f0, in.f1, in.f2));
            }
        }
    });
    OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>> transform = (OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>>) window.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 EventTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof FoldingStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : FoldingStateDescriptor(org.apache.flink.api.common.state.FoldingStateDescriptor) TumblingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) Tuple2(org.apache.flink.api.java.tuple.Tuple2) Tuple3(org.apache.flink.api.java.tuple.Tuple3) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) OneInputTransformation(org.apache.flink.streaming.api.transformations.OneInputTransformation) EventTimeTrigger(org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger) Test(org.junit.Test)

Example 80 with TimeWindow

use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.

the class AllWindowTranslationTest method testProcessProcessingTime.

@Test
@SuppressWarnings("rawtypes")
public void testProcessProcessingTime() 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>> window1 = source.windowAll(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).process(new ProcessAllWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void process(Context ctx, 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 ProcessingTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : ListStateDescriptor(org.apache.flink.api.common.state.ListStateDescriptor) ProcessingTimeTrigger(org.apache.flink.streaming.api.windowing.triggers.ProcessingTimeTrigger) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) TumblingProcessingTimeWindows(org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows) Tuple2(org.apache.flink.api.java.tuple.Tuple2) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) OneInputTransformation(org.apache.flink.streaming.api.transformations.OneInputTransformation) Test(org.junit.Test)

Aggregations

TimeWindow (org.apache.flink.streaming.api.windowing.windows.TimeWindow)158 Test (org.junit.Test)147 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)99 StreamExecutionEnvironment (org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)75 OneInputTransformation (org.apache.flink.streaming.api.transformations.OneInputTransformation)48 ExecutionConfig (org.apache.flink.api.common.ExecutionConfig)43 Tuple3 (org.apache.flink.api.java.tuple.Tuple3)38 ListStateDescriptor (org.apache.flink.api.common.state.ListStateDescriptor)37 Watermark (org.apache.flink.streaming.api.watermark.Watermark)29 ConcurrentLinkedQueue (java.util.concurrent.ConcurrentLinkedQueue)28 TumblingEventTimeWindows (org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows)28 KeyedOneInputStreamOperatorTestHarness (org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness)28 ReducingStateDescriptor (org.apache.flink.api.common.state.ReducingStateDescriptor)26 EventTimeTrigger (org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger)25 AtomicInteger (java.util.concurrent.atomic.AtomicInteger)22 Configuration (org.apache.flink.configuration.Configuration)22 StreamRecord (org.apache.flink.streaming.runtime.streamrecord.StreamRecord)19 Tuple (org.apache.flink.api.java.tuple.Tuple)13 FoldingStateDescriptor (org.apache.flink.api.common.state.FoldingStateDescriptor)12 TumblingProcessingTimeWindows (org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows)12