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Example 31 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 in project flink by apache.

the class AllWindowTranslationTest method testReduceWithWindowFunctionProcessingTime.

@Test
@SuppressWarnings("rawtypes")
public void testReduceWithWindowFunctionProcessingTime() 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(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).reduce(new DummyReducer(), new AllWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(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 : ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) 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) 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 32 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 in project flink by apache.

the class AllWindowTranslationTest method testApplyWithPreReducerEventTime.

/**
	 * Test for the deprecated .apply(Reducer, WindowFunction).
	 */
@Test
@SuppressWarnings("rawtypes")
public void testApplyWithPreReducerEventTime() 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<Tuple3<String, String, Integer>> window = source.windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).apply(reducer, new AllWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(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 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 33 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 in project flink by apache.

the class AllWindowTranslationTest method testReduceWithProcessWindowFunctionEventTime.

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

        private static final long serialVersionUID = 1L;

        @Override
        public void process(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 34 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 in project flink by apache.

the class AllWindowTranslationTest method testAggregateWithWindowFunctionProcessingTime.

@Test
public void testAggregateWithWindowFunctionProcessingTime() 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(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).aggregate(new DummyAggregationFunction(), new TestAllWindowFunction());
    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 AggregatingStateDescriptor);
    processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Also used : AggregatingStateDescriptor(org.apache.flink.api.common.state.AggregatingStateDescriptor) ProcessingTimeTrigger(org.apache.flink.streaming.api.windowing.triggers.ProcessingTimeTrigger) 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 35 with Tuple3

use of org.apache.flink.api.java.tuple.Tuple3 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)

Aggregations

Tuple3 (org.apache.flink.api.java.tuple.Tuple3)345 Test (org.junit.Test)317 ExecutionEnvironment (org.apache.flink.api.java.ExecutionEnvironment)264 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)130 Plan (org.apache.flink.api.common.Plan)85 OptimizedPlan (org.apache.flink.optimizer.plan.OptimizedPlan)54 SinkPlanNode (org.apache.flink.optimizer.plan.SinkPlanNode)52 StreamExecutionEnvironment (org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)49 Tuple5 (org.apache.flink.api.java.tuple.Tuple5)40 OneInputTransformation (org.apache.flink.streaming.api.transformations.OneInputTransformation)38 TimeWindow (org.apache.flink.streaming.api.windowing.windows.TimeWindow)38 DualInputPlanNode (org.apache.flink.optimizer.plan.DualInputPlanNode)37 ExecutionConfig (org.apache.flink.api.common.ExecutionConfig)26 FieldSet (org.apache.flink.api.common.operators.util.FieldSet)24 EventTimeTrigger (org.apache.flink.streaming.api.windowing.triggers.EventTimeTrigger)23 ReducingStateDescriptor (org.apache.flink.api.common.state.ReducingStateDescriptor)19 InvalidProgramException (org.apache.flink.api.common.InvalidProgramException)18 TumblingEventTimeWindows (org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows)17 MapOperatorBase (org.apache.flink.api.common.operators.base.MapOperatorBase)16 FoldingStateDescriptor (org.apache.flink.api.common.state.FoldingStateDescriptor)16