Пример #1
0
 /**
  * Windows this {@code DataStream} into sliding time windows.
  *
  * <p>This is a shortcut for either {@code .window(SlidingEventTimeWindows.of(size, slide))} or
  * {@code .window(SlidingProcessingTimeWindows.of(size, slide))} depending on the time
  * characteristic set using {@link
  * org.apache.flink.streaming.api.environment.StreamExecutionEnvironment#setStreamTimeCharacteristic(org.apache.flink.streaming.api.TimeCharacteristic)}
  *
  * <p>Note: This operation can be inherently non-parallel since all elements have to pass through
  * the same operator instance. (Only for special cases, such as aligned time windows is it
  * possible to perform this operation in parallel).
  *
  * @param size The size of the window.
  */
 public AllWindowedStream<T, TimeWindow> timeWindowAll(Time size, Time slide) {
   if (environment.getStreamTimeCharacteristic() == TimeCharacteristic.ProcessingTime) {
     return windowAll(SlidingProcessingTimeWindows.of(size, slide));
   } else {
     return windowAll(SlidingEventTimeWindows.of(size, slide));
   }
 }
  @Test
  @SuppressWarnings("unchecked")
  public void testSlidingEventTimeWindowsApply() throws Exception {
    closeCalled.set(0);

    final int WINDOW_SIZE = 3;
    final int WINDOW_SLIDE = 1;

    TypeInformation<Tuple2<String, Integer>> inputType =
        TypeInfoParser.parse("Tuple2<String, Integer>");

    ListStateDescriptor<Tuple2<String, Integer>> stateDesc =
        new ListStateDescriptor<>(
            "window-contents", inputType.createSerializer(new ExecutionConfig()));

    WindowOperator<
            String,
            Tuple2<String, Integer>,
            Iterable<Tuple2<String, Integer>>,
            Tuple2<String, Integer>,
            TimeWindow>
        operator =
            new WindowOperator<>(
                SlidingEventTimeWindows.of(
                    Time.of(WINDOW_SIZE, TimeUnit.SECONDS),
                    Time.of(WINDOW_SLIDE, TimeUnit.SECONDS)),
                new TimeWindow.Serializer(),
                new TupleKeySelector(),
                BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
                stateDesc,
                new InternalIterableWindowFunction<>(new RichSumReducer<TimeWindow>()),
                EventTimeTrigger.create());

    operator.setInputType(inputType, new ExecutionConfig());

    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>>
        testHarness = new OneInputStreamOperatorTestHarness<>(operator);

    testHarness.configureForKeyedStream(new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);

    testHarness.open();

    testSlidingEventTimeWindows(testHarness);

    testHarness.close();

    Assert.assertEquals("Close was not called.", 1, closeCalled.get());
  }