Examples with OneInputTransformation org.apache.flink.streaming.api.transformations.OneInputTransformation used on opensource projects

Example 96 with OneInputTransformation

use of org.apache.flink.streaming.api.transformations.OneInputTransformation 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));
}

Example 97 with OneInputTransformation

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

the class WindowTranslationTest method testProcessWithCustomTrigger.

@Test
@SuppressWarnings("rawtypes")
public void testProcessWithCustomTrigger() 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(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).trigger(CountTrigger.of(1)).process(new ProcessWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, String, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void process(String key, 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 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));
}

Example 98 with OneInputTransformation

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

the class WindowTranslationTest method testMergingWindowsWithEvictor.

@Test
@SuppressWarnings("rawtypes")
public void testMergingWindowsWithEvictor() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<Integer> source = env.fromElements(1, 2);
    DataStream<String> window1 = source.keyBy(new KeySelector<Integer, String>() {

        @Override
        public String getKey(Integer value) throws Exception {
            return value.toString();
        }
    }).window(EventTimeSessionWindows.withGap(Time.seconds(5))).evictor(CountEvictor.of(5)).process(new TestProcessWindowFunction());
    final OneInputTransformation<Integer, String> transform = (OneInputTransformation<Integer, String>) window1.getTransformation();
    final OneInputStreamOperator<Integer, String> operator = transform.getOperator();
    Assert.assertTrue(operator instanceof WindowOperator);
    WindowOperator<String, Integer, ?, ?, ?> winOperator = (WindowOperator<String, Integer, ?, ?, ?>) operator;
    Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof EventTimeSessionWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor);
    processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, 1);
}

Example 99 with OneInputTransformation

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

the class WindowTranslationTest method testApplyWithPreReducerAndEvictor.

/**
 * Test for the deprecated .apply(Reducer, WindowFunction).
 */
@Test
@SuppressWarnings("rawtypes")
public void testApplyWithPreReducerAndEvictor() 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))).evictor(CountEvictor.of(100)).apply(reducer, new WindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, String, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(String key, 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 ListStateDescriptor);
    processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}

Example 100 with OneInputTransformation

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

the class WindowTranslationTest method testApplyProcessingTime.

@Test
@SuppressWarnings("rawtypes")
public void testApplyProcessingTime() 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(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).apply(new WindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, String, TimeWindow>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void apply(String key, 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 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));
}