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Example 46 with ReducingStateDescriptor

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

the class WindowTranslationTest method testReduceWithCustomTrigger.

@Test
@SuppressWarnings("rawtypes")
public void testReduceWithCustomTrigger() 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.keyBy(0).window(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).trigger(CountTrigger.of(1)).reduce(reducer);
    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 SlidingEventTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof ReducingStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) SlidingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.SlidingEventTimeWindows) 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 47 with ReducingStateDescriptor

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

the class WindowTranslationTest method testReduceWithProcesWindowFunctionEventTime.

@Test
@SuppressWarnings("rawtypes")
public void testReduceWithProcesWindowFunctionEventTime() 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<Tuple3<String, String, Integer>> window = source.keyBy(new TupleKeySelector()).window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).reduce(reducer, new ProcessWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, String, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void process(String key, Context ctx, Iterable<Tuple2<String, Integer>> values, Collector<Tuple3<String, String, Integer>> out) throws Exception {
            for (Tuple2<String, Integer> in : values) {
                out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
            }
        }
    });
    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 ReducingStateDescriptor);
    processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : TumblingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows) ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) 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 48 with ReducingStateDescriptor

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

the class WindowTranslationTest method testReduceWithWindowFunctionProcessingTime.

@Test
@SuppressWarnings("rawtypes")
public void testReduceWithWindowFunctionProcessingTime() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));
    DataStream<Tuple3<String, String, Integer>> window = source.keyBy(new TupleKeySelector()).window(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).reduce(new DummyReducer(), new WindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, String, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(String tuple, TimeWindow window, Iterable<Tuple2<String, Integer>> values, Collector<Tuple3<String, String, Integer>> out) throws Exception {
            for (Tuple2<String, Integer> in : values) {
                out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
            }
        }
    });
    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 TumblingProcessingTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof ReducingStateDescriptor);
    processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : ProcessingTimeTrigger(org.apache.flink.streaming.api.windowing.triggers.ProcessingTimeTrigger) ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) 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 49 with ReducingStateDescriptor

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

the class WindowTranslationTest method testReduceEventTime.

// ------------------------------------------------------------------------
// Reduce Translation Tests
// ------------------------------------------------------------------------
@Test
@SuppressWarnings("rawtypes")
public void testReduceEventTime() 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(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).reduce(new DummyReducer());
    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 SlidingEventTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof ReducingStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) SlidingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.SlidingEventTimeWindows) 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 50 with ReducingStateDescriptor

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

the class StateBackendTestBase method testReducingStateRestoreWithWrongSerializers.

@Test
@SuppressWarnings("unchecked")
public void testReducingStateRestoreWithWrongSerializers() throws Exception {
    assumeTrue(supportsMetaInfoVerification());
    CheckpointStreamFactory streamFactory = createStreamFactory();
    SharedStateRegistry sharedStateRegistry = new SharedStateRegistryImpl();
    CheckpointableKeyedStateBackend<Integer> backend = createKeyedBackend(IntSerializer.INSTANCE);
    try {
        ReducingStateDescriptor<String> kvId = new ReducingStateDescriptor<>("id", new AppendingReduce(), StringSerializer.INSTANCE);
        ReducingState<String> state = backend.getPartitionedState(VoidNamespace.INSTANCE, VoidNamespaceSerializer.INSTANCE, kvId);
        backend.setCurrentKey(1);
        state.add("1");
        backend.setCurrentKey(2);
        state.add("2");
        // draw a snapshot
        KeyedStateHandle snapshot1 = runSnapshot(backend.snapshot(682375462378L, 2, streamFactory, CheckpointOptions.forCheckpointWithDefaultLocation()), sharedStateRegistry);
        backend.dispose();
        // restore the first snapshot and validate it
        backend = restoreKeyedBackend(IntSerializer.INSTANCE, snapshot1);
        snapshot1.discardState();
        @SuppressWarnings("unchecked") TypeSerializer<String> fakeStringSerializer = (TypeSerializer<String>) (TypeSerializer<?>) FloatSerializer.INSTANCE;
        try {
            kvId = new ReducingStateDescriptor<>("id", new AppendingReduce(), fakeStringSerializer);
            state = backend.getPartitionedState(VoidNamespace.INSTANCE, VoidNamespaceSerializer.INSTANCE, kvId);
            state.get();
            fail("should recognize wrong serializers");
        } catch (StateMigrationException ignored) {
        // expected
        }
    } finally {
        IOUtils.closeQuietly(backend);
        backend.dispose();
    }
}
Also used : ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) BlockerCheckpointStreamFactory(org.apache.flink.runtime.util.BlockerCheckpointStreamFactory) StateMigrationException(org.apache.flink.util.StateMigrationException) TypeSerializer(org.apache.flink.api.common.typeutils.TypeSerializer) Test(org.junit.Test)

Aggregations

ReducingStateDescriptor (org.apache.flink.api.common.state.ReducingStateDescriptor)67 Test (org.junit.Test)60 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)51 TimeWindow (org.apache.flink.streaming.api.windowing.windows.TimeWindow)38 ExecutionConfig (org.apache.flink.api.common.ExecutionConfig)35 TypeHint (org.apache.flink.api.common.typeinfo.TypeHint)27 ConcurrentLinkedQueue (java.util.concurrent.ConcurrentLinkedQueue)26 StreamExecutionEnvironment (org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)23 Watermark (org.apache.flink.streaming.api.watermark.Watermark)21 Tuple3 (org.apache.flink.api.java.tuple.Tuple3)19 PassThroughWindowFunction (org.apache.flink.streaming.api.functions.windowing.PassThroughWindowFunction)19 AtomicInteger (java.util.concurrent.atomic.AtomicInteger)17 OneInputTransformation (org.apache.flink.streaming.api.transformations.OneInputTransformation)17 StreamRecord (org.apache.flink.streaming.runtime.streamrecord.StreamRecord)14 ListStateDescriptor (org.apache.flink.api.common.state.ListStateDescriptor)10 EventTimeTrigger (org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger)9 KeyedOneInputStreamOperatorTestHarness (org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness)8 TypeSerializer (org.apache.flink.api.common.typeutils.TypeSerializer)7 OperatorSubtaskState (org.apache.flink.runtime.checkpoint.OperatorSubtaskState)7 AtomicLong (java.util.concurrent.atomic.AtomicLong)6