Search in sources :

Example 11 with FoldingStateDescriptor

use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.

the class StreamingRuntimeContextTest method testFoldingStateInstantiation.

@Test
public void testFoldingStateInstantiation() throws Exception {
    final ExecutionConfig config = new ExecutionConfig();
    config.registerKryoType(Path.class);
    final AtomicReference<Object> descriptorCapture = new AtomicReference<>();
    StreamingRuntimeContext context = new StreamingRuntimeContext(createDescriptorCapturingMockOp(descriptorCapture, config), createMockEnvironment(), Collections.<String, Accumulator<?, ?>>emptyMap());
    @SuppressWarnings("unchecked") FoldFunction<String, TaskInfo> folder = (FoldFunction<String, TaskInfo>) mock(FoldFunction.class);
    FoldingStateDescriptor<String, TaskInfo> descr = new FoldingStateDescriptor<>("name", null, folder, TaskInfo.class);
    context.getFoldingState(descr);
    FoldingStateDescriptor<?, ?> descrIntercepted = (FoldingStateDescriptor<?, ?>) descriptorCapture.get();
    TypeSerializer<?> serializer = descrIntercepted.getSerializer();
    // check that the Path class is really registered, i.e., the execution config was applied
    assertTrue(serializer instanceof KryoSerializer);
    assertTrue(((KryoSerializer<?>) serializer).getKryo().getRegistration(Path.class).getId() > 0);
}
Also used : Path(org.apache.flink.core.fs.Path) FoldFunction(org.apache.flink.api.common.functions.FoldFunction) AtomicReference(java.util.concurrent.atomic.AtomicReference) ExecutionConfig(org.apache.flink.api.common.ExecutionConfig) FoldingStateDescriptor(org.apache.flink.api.common.state.FoldingStateDescriptor) KryoSerializer(org.apache.flink.api.java.typeutils.runtime.kryo.KryoSerializer) TaskInfo(org.apache.flink.api.common.TaskInfo) Test(org.junit.Test)

Example 12 with FoldingStateDescriptor

use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.

the class AllWindowTranslationTest 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.windowAll(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).fold(new Tuple3<>("", "empty", 0), new DummyFolder(), new AllWindowFunction<Tuple3<String, String, Integer>, Tuple2<String, Integer>, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(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));
}
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 13 with FoldingStateDescriptor

use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.

the class AllWindowTranslationTest method testFoldProcessingTime.

@Test
@SuppressWarnings("rawtypes")
public void testFoldProcessingTime() 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<Tuple3<String, String, Integer>> window = source.windowAll(SlidingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).fold(new Tuple3<>("", "", 0), new DummyFolder());
    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 ProcessingTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingProcessingTimeWindows);
    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) 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) SlidingProcessingTimeWindows(org.apache.flink.streaming.api.windowing.assigners.SlidingProcessingTimeWindows) Test(org.junit.Test)

Example 14 with FoldingStateDescriptor

use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.

the class AllWindowTranslationTest method testFoldWithCustomTrigger.

@Test
@SuppressWarnings("rawtypes")
public void testFoldWithCustomTrigger() 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<Tuple3<String, String, Integer>> window1 = source.windowAll(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));
}
Also used : SlidingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.SlidingEventTimeWindows) FoldingStateDescriptor(org.apache.flink.api.common.state.FoldingStateDescriptor) 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) CountTrigger(org.apache.flink.streaming.api.windowing.triggers.CountTrigger) Test(org.junit.Test)

Example 15 with FoldingStateDescriptor

use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.

the class AllWindowTranslationTest method testFoldWithProcessAllWindowFunctionEventTime.

@Test
@SuppressWarnings("rawtypes")
public void testFoldWithProcessAllWindowFunctionEventTime() 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<Tuple2<String, Integer>> window = source.windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).fold(new Tuple3<>("", "", 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 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)

Aggregations

FoldingStateDescriptor (org.apache.flink.api.common.state.FoldingStateDescriptor)29 Test (org.junit.Test)23 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)20 StreamExecutionEnvironment (org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)18 OneInputTransformation (org.apache.flink.streaming.api.transformations.OneInputTransformation)17 Tuple3 (org.apache.flink.api.java.tuple.Tuple3)16 TimeWindow (org.apache.flink.streaming.api.windowing.windows.TimeWindow)12 EventTimeTrigger (org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger)9 RichFunction (org.apache.flink.api.common.functions.RichFunction)6 ListStateDescriptor (org.apache.flink.api.common.state.ListStateDescriptor)6 TypeSerializer (org.apache.flink.api.common.typeutils.TypeSerializer)6 MergingWindowAssigner (org.apache.flink.streaming.api.windowing.assigners.MergingWindowAssigner)6 TumblingEventTimeWindows (org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows)6 ProcessingTimeTrigger (org.apache.flink.streaming.api.windowing.triggers.ProcessingTimeTrigger)6 StreamElementSerializer (org.apache.flink.streaming.runtime.streamrecord.StreamElementSerializer)6 StreamRecord (org.apache.flink.streaming.runtime.streamrecord.StreamRecord)6 ExecutionConfig (org.apache.flink.api.common.ExecutionConfig)5 SlidingEventTimeWindows (org.apache.flink.streaming.api.windowing.assigners.SlidingEventTimeWindows)5 PublicEvolving (org.apache.flink.annotation.PublicEvolving)3 TumblingProcessingTimeWindows (org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows)3