Examples with Watermark org.apache.flink.streaming.api.watermark.Watermark used on opensource projects

Example 96 with Watermark

use of org.apache.flink.streaming.api.watermark.Watermark in project flink by apache.

the class WindowOperatorTest method testReduceSessionWindows.

@Test
@SuppressWarnings("unchecked")
public void testReduceSessionWindows() throws Exception {
    closeCalled.set(0);
    final int sessionSize = 3;
    ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents", new SumReducer(), STRING_INT_TUPLE.createSerializer(new ExecutionConfig()));
    WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple3<String, Long, Long>, TimeWindow> operator = new WindowOperator<>(EventTimeSessionWindows.withGap(Time.seconds(sessionSize)), new TimeWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalSingleValueWindowFunction<>(new ReducedSessionWindowFunction()), EventTimeTrigger.create(), 0, null);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness = createTestHarness(operator);
    ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
    testHarness.open();
    // add elements out-of-order
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 0));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 2), 1000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 3), 2500));
    // do a snapshot, close and restore again
    OperatorSubtaskState snapshot = testHarness.snapshot(0L, 0L);
    testHarness.close();
    testHarness = createTestHarness(operator);
    testHarness.setup();
    testHarness.initializeState(snapshot);
    testHarness.open();
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 10));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 2), 1000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 3), 2500));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 4), 5501));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 5), 6000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 5), 6000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 6), 6050));
    testHarness.processWatermark(new Watermark(12000));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key1-6", 10L, 5500L), 5499));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-6", 0L, 5500L), 5499));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-20", 5501L, 9050L), 9049));
    expectedOutput.add(new Watermark(12000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 10), 15000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 20), 15000));
    testHarness.processWatermark(new Watermark(17999));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-30", 15000L, 18000L), 17999));
    expectedOutput.add(new Watermark(17999));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple3ResultSortComparator());
    testHarness.close();
}

Example 97 with Watermark

use of org.apache.flink.streaming.api.watermark.Watermark in project flink by apache.

the class WindowOperatorTest method testCleanupTimerWithEmptyReduceStateForTumblingWindows.

@Test
public void testCleanupTimerWithEmptyReduceStateForTumblingWindows() throws Exception {
    final int windowSize = 2;
    final long lateness = 1;
    ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents", new SumReducer(), STRING_INT_TUPLE.createSerializer(new ExecutionConfig()));
    WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(TumblingEventTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)), new TimeWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, TimeWindow, Tuple2<String, Integer>>()), EventTimeTrigger.create(), lateness, null);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness = createTestHarness(operator);
    testHarness.open();
    ConcurrentLinkedQueue<Object> expected = new ConcurrentLinkedQueue<>();
    // normal element
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
    testHarness.processWatermark(new Watermark(1599));
    testHarness.processWatermark(new Watermark(1999));
    testHarness.processWatermark(new Watermark(2000));
    testHarness.processWatermark(new Watermark(5000));
    expected.add(new Watermark(1599));
    expected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 1999));
    // here it fires and purges
    expected.add(new Watermark(1999));
    // here is the cleanup timer
    expected.add(new Watermark(2000));
    expected.add(new Watermark(5000));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expected, testHarness.getOutput(), new Tuple2ResultSortComparator());
    testHarness.close();
}

Example 98 with Watermark

use of org.apache.flink.streaming.api.watermark.Watermark in project flink by apache.

the class WindowOperatorTest method testSessionWindows.

@Test
@SuppressWarnings("unchecked")
public void testSessionWindows() throws Exception {
    closeCalled.set(0);
    final int sessionSize = 3;
    ListStateDescriptor<Tuple2<String, Integer>> stateDesc = new ListStateDescriptor<>("window-contents", STRING_INT_TUPLE.createSerializer(new ExecutionConfig()));
    WindowOperator<String, Tuple2<String, Integer>, Iterable<Tuple2<String, Integer>>, Tuple3<String, Long, Long>, TimeWindow> operator = new WindowOperator<>(EventTimeSessionWindows.withGap(Time.seconds(sessionSize)), new TimeWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalIterableWindowFunction<>(new SessionWindowFunction()), EventTimeTrigger.create(), 0, null);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness = createTestHarness(operator);
    ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
    testHarness.open();
    // add elements out-of-order
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 0));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 2), 1000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 3), 2500));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 10));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 2), 1000));
    // do a snapshot, close and restore again
    OperatorSubtaskState snapshot = testHarness.snapshot(0L, 0L);
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple3ResultSortComparator());
    testHarness.close();
    testHarness = createTestHarness(operator);
    testHarness.setup();
    testHarness.initializeState(snapshot);
    testHarness.open();
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 3), 2500));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 4), 5501));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 5), 6000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 5), 6000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 6), 6050));
    testHarness.processWatermark(new Watermark(12000));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key1-6", 10L, 5500L), 5499));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-6", 0L, 5500L), 5499));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-20", 5501L, 9050L), 9049));
    expectedOutput.add(new Watermark(12000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 10), 15000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 20), 15000));
    testHarness.processWatermark(new Watermark(17999));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-30", 15000L, 18000L), 17999));
    expectedOutput.add(new Watermark(17999));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple3ResultSortComparator());
    testHarness.close();
}

Example 99 with Watermark

use of org.apache.flink.streaming.api.watermark.Watermark in project flink by apache.

the class WindowOperatorTest method testLateness.

@Test
public void testLateness() throws Exception {
    final int windowSize = 2;
    final long lateness = 500;
    ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents", new SumReducer(), STRING_INT_TUPLE.createSerializer(new ExecutionConfig()));
    WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(TumblingEventTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS)), new TimeWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, TimeWindow, Tuple2<String, Integer>>()), PurgingTrigger.of(EventTimeTrigger.create()), lateness, lateOutputTag);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness = createTestHarness(operator);
    testHarness.open();
    ConcurrentLinkedQueue<Object> expected = new ConcurrentLinkedQueue<>();
    ConcurrentLinkedQueue<Object> lateExpected = new ConcurrentLinkedQueue<>();
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 500));
    testHarness.processWatermark(new Watermark(1500));
    expected.add(new Watermark(1500));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1300));
    testHarness.processWatermark(new Watermark(2300));
    expected.add(new StreamRecord<>(new Tuple2<>("key2", 2), 1999));
    expected.add(new Watermark(2300));
    // this will not be sideoutput because window.maxTimestamp() + allowedLateness >
    // currentWatermark
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1997));
    testHarness.processWatermark(new Watermark(6000));
    // this is 1 and not 3 because the trigger fires and purges
    expected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 1999));
    expected.add(new Watermark(6000));
    // this will be side output because window.maxTimestamp() + allowedLateness <
    // currentWatermark
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1998));
    testHarness.processWatermark(new Watermark(7000));
    lateExpected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 1998));
    expected.add(new Watermark(7000));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expected, testHarness.getOutput(), new Tuple2ResultSortComparator());
    TestHarnessUtil.assertOutputEqualsSorted("SideOutput was not correct.", lateExpected, (Iterable) testHarness.getSideOutput(lateOutputTag), new Tuple2ResultSortComparator());
    testHarness.close();
}

Example 100 with Watermark

use of org.apache.flink.streaming.api.watermark.Watermark in project flink by apache.

the class WindowOperatorTest method testNotSideOutputDueToLatenessSessionWithHugeLatenessPurgingTrigger.

@Test
public void testNotSideOutputDueToLatenessSessionWithHugeLatenessPurgingTrigger() throws Exception {
    final int gapSize = 3;
    final long lateness = 10000;
    ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents", new SumReducer(), STRING_INT_TUPLE.createSerializer(new ExecutionConfig()));
    WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple3<String, Long, Long>, TimeWindow> operator = new WindowOperator<>(EventTimeSessionWindows.withGap(Time.seconds(gapSize)), new TimeWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalSingleValueWindowFunction<>(new ReducedSessionWindowFunction()), PurgingTrigger.of(EventTimeTrigger.create()), lateness, lateOutputTag);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness = createTestHarness(operator);
    testHarness.open();
    ConcurrentLinkedQueue<Object> expected = new ConcurrentLinkedQueue<>();
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
    testHarness.processWatermark(new Watermark(1999));
    expected.add(new Watermark(1999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 2000));
    testHarness.processWatermark(new Watermark(4998));
    expected.add(new Watermark(4998));
    // this will not be sideoutput because the session we're adding two has maxTimestamp
    // after the current watermark
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 4500));
    // new session
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 8500));
    testHarness.processWatermark(new Watermark(7400));
    expected.add(new Watermark(7400));
    // this will merge the two sessions into one
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 7000));
    testHarness.processWatermark(new Watermark(11501));
    expected.add(new StreamRecord<>(new Tuple3<>("key2-5", 1000L, 11500L), 11499));
    expected.add(new Watermark(11501));
    // new session
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 11600));
    testHarness.processWatermark(new Watermark(14600));
    expected.add(new StreamRecord<>(new Tuple3<>("key2-1", 11600L, 14600L), 14599));
    expected.add(new Watermark(14600));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));
    expected.add(new StreamRecord<>(new Tuple3<>("key2-1", 1000L, 14600L), 14599));
    ConcurrentLinkedQueue<Object> actual = testHarness.getOutput();
    ConcurrentLinkedQueue<StreamRecord<Tuple2<String, Integer>>> sideActual = testHarness.getSideOutput(lateOutputTag);
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expected, actual, new Tuple3ResultSortComparator());
    assertEquals(null, sideActual);
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 14500));
    testHarness.processWatermark(new Watermark(20000));
    expected.add(new StreamRecord<>(new Tuple3<>("key2-1", 1000L, 17500L), 17499));
    expected.add(new Watermark(20000));
    testHarness.processWatermark(new Watermark(100000));
    expected.add(new Watermark(100000));
    actual = testHarness.getOutput();
    sideActual = testHarness.getSideOutput(lateOutputTag);
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expected, actual, new Tuple3ResultSortComparator());
    assertEquals(null, sideActual);
    testHarness.close();
}