use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.
the class TimeWindowTranslationTest method testApplyAlignedTimeWindows.
/**
* These tests ensure that the fast aligned time windows operator is used if the
* conditions are right.
*/
@Test
public void testApplyAlignedTimeWindows() 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>> window1 = source.keyBy(0).window(TumblingAlignedProcessingTimeWindows.of(Time.of(1000, TimeUnit.MILLISECONDS))).apply(new WindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void apply(Tuple tuple, TimeWindow window, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception {
}
});
OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform1 = (OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window1.getTransformation();
OneInputStreamOperator<Tuple2<String, Integer>, Tuple2<String, Integer>> operator1 = transform1.getOperator();
Assert.assertTrue(operator1 instanceof AccumulatingProcessingTimeWindowOperator);
}
use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.
the class WindowOperatorContractTest method testWindowsAreMergedEagerly.
/**
* Verify that windows are merged eagerly, if possible.
*/
public void testWindowsAreMergedEagerly(final TimeDomainAdaptor timeAdaptor) throws Exception {
// in this test we only have one state window and windows are eagerly
// merged into the first window
MergingWindowAssigner<Integer, TimeWindow> mockAssigner = mockMergingAssigner();
timeAdaptor.setIsEventTime(mockAssigner);
Trigger<Integer, TimeWindow> mockTrigger = mockTrigger();
InternalWindowFunction<Iterable<Integer>, Void, Integer, TimeWindow> mockWindowFunction = mockWindowFunction();
KeyedOneInputStreamOperatorTestHarness<Integer, Integer, Void> testHarness = createWindowOperator(mockAssigner, mockTrigger, 0L, intListDescriptor, mockWindowFunction);
testHarness.open();
timeAdaptor.advanceTime(testHarness, Long.MIN_VALUE);
assertEquals(0, testHarness.extractOutputStreamRecords().size());
assertEquals(0, testHarness.numKeyedStateEntries());
doAnswer(new Answer<TriggerResult>() {
@Override
public TriggerResult answer(InvocationOnMock invocation) throws Exception {
Trigger.TriggerContext context = (Trigger.TriggerContext) invocation.getArguments()[3];
// don't intefere with cleanup timers
timeAdaptor.registerTimer(context, 0L);
context.getPartitionedState(valueStateDescriptor).update("hello");
return TriggerResult.CONTINUE;
}
}).when(mockTrigger).onElement(Matchers.<Integer>anyObject(), anyLong(), anyTimeWindow(), anyTriggerContext());
doAnswer(new Answer<TriggerResult>() {
@Override
public TriggerResult answer(InvocationOnMock invocation) throws Exception {
Trigger.OnMergeContext context = (Trigger.OnMergeContext) invocation.getArguments()[1];
// don't intefere with cleanup timers
timeAdaptor.registerTimer(context, 0L);
context.getPartitionedState(valueStateDescriptor).update("hello");
return TriggerResult.CONTINUE;
}
}).when(mockTrigger).onMerge(anyTimeWindow(), anyOnMergeContext());
doAnswer(new Answer<Object>() {
@Override
public Object answer(InvocationOnMock invocation) throws Exception {
Trigger.TriggerContext context = (Trigger.TriggerContext) invocation.getArguments()[1];
timeAdaptor.deleteTimer(context, 0L);
context.getPartitionedState(valueStateDescriptor).clear();
return null;
}
}).when(mockTrigger).clear(anyTimeWindow(), anyTriggerContext());
when(mockAssigner.assignWindows(anyInt(), anyLong(), anyAssignerContext())).thenReturn(Arrays.asList(new TimeWindow(0, 2)));
testHarness.processElement(new StreamRecord<>(0, 0L));
// window state plus trigger state plus merging window set
assertEquals(3, testHarness.numKeyedStateEntries());
// timer and GC timer
assertEquals(2, timeAdaptor.numTimers(testHarness));
when(mockAssigner.assignWindows(anyInt(), anyLong(), anyAssignerContext())).thenReturn(Arrays.asList(new TimeWindow(2, 4)));
shouldMergeWindows(mockAssigner, Lists.newArrayList(new TimeWindow(0, 2), new TimeWindow(2, 4)), Lists.newArrayList(new TimeWindow(0, 2), new TimeWindow(2, 4)), new TimeWindow(0, 4));
// don't register a timer or update state in onElement, this checks
// whether onMerge does correctly set those things
doAnswer(new Answer<TriggerResult>() {
@Override
public TriggerResult answer(InvocationOnMock invocation) throws Exception {
return TriggerResult.CONTINUE;
}
}).when(mockTrigger).onElement(Matchers.<Integer>anyObject(), anyLong(), anyTimeWindow(), anyTriggerContext());
testHarness.processElement(new StreamRecord<>(0, 0L));
verify(mockTrigger).onMerge(eq(new TimeWindow(0, 4)), anyOnMergeContext());
assertEquals(3, testHarness.numKeyedStateEntries());
assertEquals(2, timeAdaptor.numTimers(testHarness));
}
use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.
the class WindowOperatorContractTest method testProcessingElementsWithinAllowedLateness.
@Test
public void testProcessingElementsWithinAllowedLateness() throws Exception {
WindowAssigner<Integer, TimeWindow> mockAssigner = mockTimeWindowAssigner();
Trigger<Integer, TimeWindow> mockTrigger = mockTrigger();
InternalWindowFunction<Iterable<Integer>, Void, Integer, TimeWindow> mockWindowFunction = mockWindowFunction();
KeyedOneInputStreamOperatorTestHarness<Integer, Integer, Void> testHarness = createWindowOperator(mockAssigner, mockTrigger, 20L, intListDescriptor, mockWindowFunction);
testHarness.open();
when(mockAssigner.assignWindows(anyInt(), anyLong(), anyAssignerContext())).thenReturn(Arrays.asList(new TimeWindow(0, 2)));
assertEquals(0, testHarness.getOutput().size());
assertEquals(0, testHarness.numKeyedStateEntries());
doAnswer(new Answer<TriggerResult>() {
@Override
public TriggerResult answer(InvocationOnMock invocation) throws Exception {
return TriggerResult.FIRE;
}
}).when(mockTrigger).onElement(Matchers.<Integer>anyObject(), anyLong(), anyTimeWindow(), anyTriggerContext());
// 20 is just at the limit, window.maxTime() is 1 and allowed lateness is 20
testHarness.processWatermark(new Watermark(20));
testHarness.processElement(new StreamRecord<>(0, 0L));
verify(mockWindowFunction, times(1)).apply(eq(0), eq(new TimeWindow(0, 2)), intIterable(0), WindowOperatorContractTest.<Void>anyCollector());
// clear is only called at cleanup time/GC time
verify(mockTrigger, never()).clear(anyTimeWindow(), anyTriggerContext());
// FIRE should not purge contents
// window contents plus trigger state
assertEquals(1, testHarness.numKeyedStateEntries());
// just the GC timer
assertEquals(1, testHarness.numEventTimeTimers());
}
use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.
the class WindowTranslationTest method testFoldWithProcessWindowFunctionEventTime.
@Test
@SuppressWarnings("rawtypes")
public void testFoldWithProcessWindowFunctionEventTime() 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<Tuple2<String, Integer>> window = source.keyBy(new TupleKeySelector()).window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).fold(new Tuple3<>("", "", 0), new DummyFolder(), new ProcessWindowFunction<Tuple3<String, String, Integer>, Tuple2<String, Integer>, String, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(String key, 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 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));
}
use of org.apache.flink.streaming.api.windowing.windows.TimeWindow in project flink by apache.
the class WindowTranslationTest method testReduceWithWindowFunctionEventTime.
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithWindowFunctionEventTime() 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.keyBy(new TupleKeySelector()).window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).reduce(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 ReducingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
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