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

Example 91 with OneInputTransformation

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

the class WindowTranslationTest method testAggregateWithWindowFunctionEventTime.

@Test
public void testAggregateWithWindowFunctionEventTime() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<Tuple3<String, String, Integer>> source = env.fromElements(Tuple3.of("hello", "hallo", 1), Tuple3.of("hello", "hallo", 2));
    DummyReducer reducer = new DummyReducer();
    DataStream<String> window = source.keyBy(new Tuple3KeySelector()).window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).aggregate(new DummyAggregationFunction(), new TestWindowFunction());
    final OneInputTransformation<Tuple3<String, String, Integer>, String> transform = (OneInputTransformation<Tuple3<String, String, Integer>, String>) window.getTransformation();
    final OneInputStreamOperator<Tuple3<String, String, Integer>, String> operator = transform.getOperator();
    Assert.assertTrue(operator instanceof WindowOperator);
    WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator = (WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;
    Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);
    processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}

Example 92 with OneInputTransformation

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

the class WindowTranslationTest method testProcessWithEvictor.

@Test
@SuppressWarnings("rawtypes")
public void testProcessWithEvictor() 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)).evictor(TimeEvictor.of(Time.of(100, TimeUnit.MILLISECONDS))).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 EvictingWindowOperator);
    EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?> winOperator = (EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?>) operator;
    Assert.assertTrue(winOperator.getTrigger() instanceof CountTrigger);
    Assert.assertTrue(winOperator.getEvictor() instanceof TimeEvictor);
    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 93 with OneInputTransformation

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

Example 94 with OneInputTransformation

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

the class WindowTranslationTest method testApplyWithCustomTrigger.

@Test
@SuppressWarnings("rawtypes")
public void testApplyWithCustomTrigger() 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)).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 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 95 with OneInputTransformation

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

the class WindowTranslationTest method testAggregateWithProcessWindowFunctionEventTime.

@Test
public void testAggregateWithProcessWindowFunctionEventTime() throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    DataStream<Tuple3<String, String, Integer>> source = env.fromElements(Tuple3.of("hello", "hallo", 1), Tuple3.of("hello", "hallo", 2));
    DataStream<String> window = source.keyBy(new Tuple3KeySelector()).window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).aggregate(new DummyAggregationFunction(), new TestProcessWindowFunction());
    final OneInputTransformation<Tuple3<String, String, Integer>, String> transform = (OneInputTransformation<Tuple3<String, String, Integer>, String>) window.getTransformation();
    final OneInputStreamOperator<Tuple3<String, String, Integer>, String> operator = transform.getOperator();
    Assert.assertTrue(operator instanceof WindowOperator);
    WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator = (WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;
    Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
    Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows);
    Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);
    processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}