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Example 61 with OneInputTransformation

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

the class AllWindowTranslationTest method testFoldWithEvictor.

@Test
@SuppressWarnings({ "rawtypes", "unchecked" })
public void testFoldWithEvictor() 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.windowAll(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).evictor(CountEvictor.of(100)).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 EvictingWindowOperator);
    EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?> winOperator = (EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?>) operator;
    Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
    Assert.assertTrue(winOperator.getEvictor() instanceof CountEvictor);
    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));
}
Also used : SlidingEventTimeWindows(org.apache.flink.streaming.api.windowing.assigners.SlidingEventTimeWindows) ListStateDescriptor(org.apache.flink.api.common.state.ListStateDescriptor) ExecutionConfig(org.apache.flink.api.common.ExecutionConfig) CountEvictor(org.apache.flink.streaming.api.windowing.evictors.CountEvictor) 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 62 with OneInputTransformation

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

the class AllWindowTranslationTest method testReduceFastProcessingTime.

/**
	 * Ignored because we currently don't have the fast processing-time window operator.
	 */
@Test
@SuppressWarnings("rawtypes")
@Ignore
public void testReduceFastProcessingTime() 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(SlidingProcessingTimeWindows.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>>) window.getTransformation();
    OneInputStreamOperator<Tuple2<String, Integer>, Tuple2<String, Integer>> operator = transform.getOperator();
    Assert.assertTrue(operator instanceof AggregatingProcessingTimeWindowOperator);
    processElementAndEnsureOutput(operator, null, BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : Tuple2(org.apache.flink.api.java.tuple.Tuple2) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) OneInputTransformation(org.apache.flink.streaming.api.transformations.OneInputTransformation) Ignore(org.junit.Ignore) Test(org.junit.Test)

Example 63 with OneInputTransformation

use of org.apache.flink.streaming.api.transformations.OneInputTransformation 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 64 with OneInputTransformation

use of org.apache.flink.streaming.api.transformations.OneInputTransformation 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 65 with OneInputTransformation

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

the class AllWindowTranslationTest method testFoldEventTime.

// ------------------------------------------------------------------------
//  fold() translation tests
// ------------------------------------------------------------------------
@Test
@SuppressWarnings("rawtypes")
public void testFoldEventTime() 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.windowAll(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).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 EventTimeTrigger);
    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) EventTimeTrigger(org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger) Test(org.junit.Test)

Aggregations

OneInputTransformation (org.apache.flink.streaming.api.transformations.OneInputTransformation)125 Test (org.junit.Test)95 StreamExecutionEnvironment (org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)88 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)76 TimeWindow (org.apache.flink.streaming.api.windowing.windows.TimeWindow)47 EventTimeTrigger (org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger)44 Tuple3 (org.apache.flink.api.java.tuple.Tuple3)43 ListStateDescriptor (org.apache.flink.api.common.state.ListStateDescriptor)34 Transformation (org.apache.flink.api.dag.Transformation)34 TumblingEventTimeWindows (org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows)30 RowData (org.apache.flink.table.data.RowData)26 SlidingEventTimeWindows (org.apache.flink.streaming.api.windowing.assigners.SlidingEventTimeWindows)24 ExecEdge (org.apache.flink.table.planner.plan.nodes.exec.ExecEdge)24 ProcessingTimeTrigger (org.apache.flink.streaming.api.windowing.triggers.ProcessingTimeTrigger)21 RowType (org.apache.flink.table.types.logical.RowType)21 RowDataKeySelector (org.apache.flink.table.runtime.keyselector.RowDataKeySelector)19 FoldingStateDescriptor (org.apache.flink.api.common.state.FoldingStateDescriptor)17 ReducingStateDescriptor (org.apache.flink.api.common.state.ReducingStateDescriptor)17 TumblingProcessingTimeWindows (org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows)15 ExpectedException (org.junit.rules.ExpectedException)15