Java Code Examples for org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness#getSideOutput()

The following examples show how to use org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness#getSideOutput() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: ProcessOperatorTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
/**
 * This also verifies that the timestamps ouf side-emitted records is correct.
 */
@Test
public void testSideOutput() throws Exception {
	ProcessOperator<Integer, String> operator =
		new ProcessOperator<>(new SideOutputProcessFunction());

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

	testHarness.setup();
	testHarness.open();

	testHarness.processElement(new StreamRecord<>(42, 17L /* timestamp */));

	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	expectedOutput.add(new StreamRecord<>("IN:42", 17L /* timestamp */));

	TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());

	ConcurrentLinkedQueue<StreamRecord<Integer>> expectedIntSideOutput = new ConcurrentLinkedQueue<>();
	expectedIntSideOutput.add(new StreamRecord<>(42, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Integer>> intSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.INTEGER_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedIntSideOutput,
		intSideOutput);

	ConcurrentLinkedQueue<StreamRecord<Long>> expectedLongSideOutput = new ConcurrentLinkedQueue<>();
	expectedLongSideOutput.add(new StreamRecord<>(42L, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Long>> longSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.LONG_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedLongSideOutput,
		longSideOutput);

	testHarness.close();
}
Example 2
Source File: ProcessOperatorTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
/**
 * This also verifies that the timestamps ouf side-emitted records is correct.
 */
@Test
public void testSideOutput() throws Exception {
	ProcessOperator<Integer, String> operator =
		new ProcessOperator<>(new SideOutputProcessFunction());

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

	testHarness.setup();
	testHarness.open();

	testHarness.processElement(new StreamRecord<>(42, 17L /* timestamp */));

	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	expectedOutput.add(new StreamRecord<>("IN:42", 17L /* timestamp */));

	TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());

	ConcurrentLinkedQueue<StreamRecord<Integer>> expectedIntSideOutput = new ConcurrentLinkedQueue<>();
	expectedIntSideOutput.add(new StreamRecord<>(42, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Integer>> intSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.INTEGER_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedIntSideOutput,
		intSideOutput);

	ConcurrentLinkedQueue<StreamRecord<Long>> expectedLongSideOutput = new ConcurrentLinkedQueue<>();
	expectedLongSideOutput.add(new StreamRecord<>(42L, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Long>> longSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.LONG_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedLongSideOutput,
		longSideOutput);

	testHarness.close();
}
Example 3
Source File: KeyedProcessOperatorTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
/**
 * This also verifies that the timestamps ouf side-emitted records is correct.
 */
@Test
public void testSideOutput() throws Exception {
	KeyedProcessOperator<Integer, Integer, String> operator = new KeyedProcessOperator<>(new SideOutputProcessFunction());

	OneInputStreamOperatorTestHarness<Integer, String> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(
			operator, new IdentityKeySelector<>(), BasicTypeInfo.INT_TYPE_INFO);

	testHarness.setup();
	testHarness.open();

	testHarness.processElement(new StreamRecord<>(42, 17L /* timestamp */));

	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	expectedOutput.add(new StreamRecord<>("IN:42", 17L /* timestamp */));

	TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());

	ConcurrentLinkedQueue<StreamRecord<Integer>> expectedIntSideOutput = new ConcurrentLinkedQueue<>();
	expectedIntSideOutput.add(new StreamRecord<>(42, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Integer>> intSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.INTEGER_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedIntSideOutput,
		intSideOutput);

	ConcurrentLinkedQueue<StreamRecord<Long>> expectedLongSideOutput = new ConcurrentLinkedQueue<>();
	expectedLongSideOutput.add(new StreamRecord<>(42L, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Long>> longSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.LONG_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedLongSideOutput,
		longSideOutput);

	testHarness.close();
}
Example 4
Source File: KeyedProcessOperatorTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
/**
 * This also verifies that the timestamps ouf side-emitted records is correct.
 */
@Test
public void testSideOutput() throws Exception {
	KeyedProcessOperator<Integer, Integer, String> operator = new KeyedProcessOperator<>(new SideOutputProcessFunction());

	OneInputStreamOperatorTestHarness<Integer, String> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(
			operator, new IdentityKeySelector<>(), BasicTypeInfo.INT_TYPE_INFO);

	testHarness.setup();
	testHarness.open();

	testHarness.processElement(new StreamRecord<>(42, 17L /* timestamp */));

	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	expectedOutput.add(new StreamRecord<>("IN:42", 17L /* timestamp */));

	TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());

	ConcurrentLinkedQueue<StreamRecord<Integer>> expectedIntSideOutput = new ConcurrentLinkedQueue<>();
	expectedIntSideOutput.add(new StreamRecord<>(42, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Integer>> intSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.INTEGER_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedIntSideOutput,
		intSideOutput);

	ConcurrentLinkedQueue<StreamRecord<Long>> expectedLongSideOutput = new ConcurrentLinkedQueue<>();
	expectedLongSideOutput.add(new StreamRecord<>(42L, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Long>> longSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.LONG_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedLongSideOutput,
		longSideOutput);

	testHarness.close();
}
Example 5
Source File: KeyedProcessOperatorTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
/**
 * This also verifies that the timestamps ouf side-emitted records is correct.
 */
@Test
public void testSideOutput() throws Exception {
	KeyedProcessOperator<Integer, Integer, String> operator = new KeyedProcessOperator<>(new SideOutputProcessFunction());

	OneInputStreamOperatorTestHarness<Integer, String> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(
			operator, new IdentityKeySelector<>(), BasicTypeInfo.INT_TYPE_INFO);

	testHarness.setup();
	testHarness.open();

	testHarness.processElement(new StreamRecord<>(42, 17L /* timestamp */));

	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	expectedOutput.add(new StreamRecord<>("IN:42", 17L /* timestamp */));

	TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());

	ConcurrentLinkedQueue<StreamRecord<Integer>> expectedIntSideOutput = new ConcurrentLinkedQueue<>();
	expectedIntSideOutput.add(new StreamRecord<>(42, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Integer>> intSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.INTEGER_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedIntSideOutput,
		intSideOutput);

	ConcurrentLinkedQueue<StreamRecord<Long>> expectedLongSideOutput = new ConcurrentLinkedQueue<>();
	expectedLongSideOutput.add(new StreamRecord<>(42L, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Long>> longSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.LONG_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedLongSideOutput,
		longSideOutput);

	testHarness.close();
}
Example 6
Source File: WindowOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
public void testNotSideOutputDueToLatenessSessionWithLateness() throws Exception {
	// same as testSideOutputDueToLatenessSessionWithLateness() but with an accumulating trigger, i.e.
	// one that does not return FIRE_AND_PURGE when firing but just FIRE. The expected
	// results are therefore slightly different.

	final int gapSize = 3;
	final long lateness = 10;

	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()),
			EventTimeTrigger.create(),
			lateness,
			lateOutputTag /* late data output tag */);

	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));

	// because of the small allowed lateness and because the trigger is accumulating
	// this will be merged into the session (11600-14600) and therefore will not
	// be sideoutput as late
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 14500));

	// adding ("key2", 1) extended the session to (10000-146000) for which
	// maxTimestamp <= currentWatermark. Therefore, we immediately get a firing
	// with the current version of EventTimeTrigger/EventTimeTriggerAccum
	expected.add(new StreamRecord<>(new Tuple3<>("key2-2", 10000L, 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.processWatermark(new Watermark(20000));

	expected.add(new StreamRecord<>(new Tuple3<>("key2-3", 10000L, 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();
}
Example 7
Source File: WindowOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
public void testNotSideOutputDueToLatenessSessionWithHugeLateness() 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()),
			EventTimeTrigger.create(),
			lateness,
			lateOutputTag /* late data output tag */);

	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));

	// the maxTimestamp of the merged session is already late,
	// so we get an immediate firing
	expected.add(new StreamRecord<>(new Tuple3<>("key2-7", 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<>("key2-8", 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();
}
Example 8
Source File: LegacyKeyedProcessOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
/**
 * This also verifies that the timestamps ouf side-emitted records is correct.
 */
@Test
public void testSideOutput() throws Exception {
	LegacyKeyedProcessOperator<Integer, Integer, String> operator =
		new LegacyKeyedProcessOperator<>(new SideOutputProcessFunction());

	OneInputStreamOperatorTestHarness<Integer, String> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(
			operator, new IdentityKeySelector<>(), BasicTypeInfo.INT_TYPE_INFO);

	testHarness.setup();
	testHarness.open();

	testHarness.processElement(new StreamRecord<>(42, 17L /* timestamp */));

	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	expectedOutput.add(new StreamRecord<>("IN:42", 17L /* timestamp */));

	TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());

	ConcurrentLinkedQueue<StreamRecord<Integer>> expectedIntSideOutput = new ConcurrentLinkedQueue<>();
	expectedIntSideOutput.add(new StreamRecord<>(42, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Integer>> intSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.INTEGER_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedIntSideOutput,
		intSideOutput);

	ConcurrentLinkedQueue<StreamRecord<Long>> expectedLongSideOutput = new ConcurrentLinkedQueue<>();
	expectedLongSideOutput.add(new StreamRecord<>(42L, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Long>> longSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.LONG_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedLongSideOutput,
		longSideOutput);

	testHarness.close();
}
Example 9
Source File: WindowOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
public void testNotSideOutputDueToLatenessSessionWithHugeLateness() 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()),
			EventTimeTrigger.create(),
			lateness,
			lateOutputTag /* late data output tag */);

	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));

	// the maxTimestamp of the merged session is already late,
	// so we get an immediate firing
	expected.add(new StreamRecord<>(new Tuple3<>("key2-7", 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<>("key2-8", 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();
}
Example 10
Source File: WindowOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
@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 /* late data output tag */);

	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();
}
Example 11
Source File: WindowOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
public void testNotSideOutputDueToLatenessSessionWithLateness() throws Exception {
	// same as testSideOutputDueToLatenessSessionWithLateness() but with an accumulating trigger, i.e.
	// one that does not return FIRE_AND_PURGE when firing but just FIRE. The expected
	// results are therefore slightly different.

	final int gapSize = 3;
	final long lateness = 10;

	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()),
			EventTimeTrigger.create(),
			lateness,
			lateOutputTag /* late data output tag */);

	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));

	// because of the small allowed lateness and because the trigger is accumulating
	// this will be merged into the session (11600-14600) and therefore will not
	// be sideoutput as late
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 14500));

	// adding ("key2", 1) extended the session to (10000-146000) for which
	// maxTimestamp <= currentWatermark. Therefore, we immediately get a firing
	// with the current version of EventTimeTrigger/EventTimeTriggerAccum
	expected.add(new StreamRecord<>(new Tuple3<>("key2-2", 10000L, 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.processWatermark(new Watermark(20000));

	expected.add(new StreamRecord<>(new Tuple3<>("key2-3", 10000L, 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();
}
Example 12
Source File: WindowOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
public void testSideOutputDueToLatenessSessionZeroLateness() throws Exception {
	final int gapSize = 3;
	final long lateness = 0;

	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()),
			EventTimeTrigger.create(),
			lateness,
			lateOutputTag);

	OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness =
		createTestHarness(operator);

	testHarness.open();

	ConcurrentLinkedQueue<Object> expected = new ConcurrentLinkedQueue<>();
	ConcurrentLinkedQueue<Object> sideExpected = 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 dropped 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));

	// this is sideoutput as late, reuse last timestamp
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));
	sideExpected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 14500));
	testHarness.processWatermark(new Watermark(20000));

	expected.add(new StreamRecord<>(new Tuple3<>("key2-1", 14500L, 17500L), 17499));
	expected.add(new Watermark(20000));

	testHarness.processWatermark(new Watermark(100000));
	expected.add(new Watermark(100000));

	ConcurrentLinkedQueue<Object> actual = testHarness.getOutput();
	ConcurrentLinkedQueue<StreamRecord<Tuple2<String, Integer>>> sideActual = testHarness.getSideOutput(
			lateOutputTag);
	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expected, actual, new Tuple2ResultSortComparator());
	TestHarnessUtil.assertOutputEqualsSorted("SideOutput was not correct.", sideExpected, (Iterable) sideActual, new Tuple2ResultSortComparator());
	testHarness.close();
}
Example 13
Source File: WindowOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
public void testSideOutputDueToLatenessSessionZeroLatenessPurgingTrigger() throws Exception {
	final int gapSize = 3;
	final long lateness = 0;

	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<>();
	ConcurrentLinkedQueue<Object> sideExpected = 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 dropped 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));

	// this is side output as late
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));
	sideExpected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));

	// this is also side output as late (we test that they are not accidentally merged)
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10100));
	sideExpected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 10100));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 14500));
	testHarness.processWatermark(new Watermark(20000));

	expected.add(new StreamRecord<>(new Tuple3<>("key2-1", 14500L, 17500L), 17499));
	expected.add(new Watermark(20000));

	testHarness.processWatermark(new Watermark(100000));

	expected.add(new Watermark(100000));

	ConcurrentLinkedQueue<Object> actual = testHarness.getOutput();
	ConcurrentLinkedQueue<StreamRecord<Tuple2<String, Integer>>> sideActual = testHarness.getSideOutput(lateOutputTag);

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expected, actual, new Tuple2ResultSortComparator());
	TestHarnessUtil.assertOutputEqualsSorted("SideOutput was not correct.", sideExpected, (Iterable) sideActual, new Tuple2ResultSortComparator());

	testHarness.close();
}
Example 14
Source File: LegacyKeyedProcessOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
/**
 * This also verifies that the timestamps ouf side-emitted records is correct.
 */
@Test
public void testSideOutput() throws Exception {
	LegacyKeyedProcessOperator<Integer, Integer, String> operator =
		new LegacyKeyedProcessOperator<>(new SideOutputProcessFunction());

	OneInputStreamOperatorTestHarness<Integer, String> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(
			operator, new IdentityKeySelector<>(), BasicTypeInfo.INT_TYPE_INFO);

	testHarness.setup();
	testHarness.open();

	testHarness.processElement(new StreamRecord<>(42, 17L /* timestamp */));

	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	expectedOutput.add(new StreamRecord<>("IN:42", 17L /* timestamp */));

	TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());

	ConcurrentLinkedQueue<StreamRecord<Integer>> expectedIntSideOutput = new ConcurrentLinkedQueue<>();
	expectedIntSideOutput.add(new StreamRecord<>(42, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Integer>> intSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.INTEGER_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedIntSideOutput,
		intSideOutput);

	ConcurrentLinkedQueue<StreamRecord<Long>> expectedLongSideOutput = new ConcurrentLinkedQueue<>();
	expectedLongSideOutput.add(new StreamRecord<>(42L, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Long>> longSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.LONG_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedLongSideOutput,
		longSideOutput);

	testHarness.close();
}
Example 15
Source File: WindowOperatorTest.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
@Test
public void testNotSideOutputDueToLatenessSessionWithHugeLateness() 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()),
			EventTimeTrigger.create(),
			lateness,
			lateOutputTag /* late data output tag */);

	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));

	// the maxTimestamp of the merged session is already late,
	// so we get an immediate firing
	expected.add(new StreamRecord<>(new Tuple3<>("key2-7", 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<>("key2-8", 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();
}
Example 16
Source File: WindowOperatorTest.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
@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 /* late data output tag */);

	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();
}
Example 17
Source File: WindowOperatorTest.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
@Test
public void testNotSideOutputDueToLatenessSessionWithLateness() throws Exception {
	// same as testSideOutputDueToLatenessSessionWithLateness() but with an accumulating trigger, i.e.
	// one that does not return FIRE_AND_PURGE when firing but just FIRE. The expected
	// results are therefore slightly different.

	final int gapSize = 3;
	final long lateness = 10;

	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()),
			EventTimeTrigger.create(),
			lateness,
			lateOutputTag /* late data output tag */);

	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));

	// because of the small allowed lateness and because the trigger is accumulating
	// this will be merged into the session (11600-14600) and therefore will not
	// be sideoutput as late
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 14500));

	// adding ("key2", 1) extended the session to (10000-146000) for which
	// maxTimestamp <= currentWatermark. Therefore, we immediately get a firing
	// with the current version of EventTimeTrigger/EventTimeTriggerAccum
	expected.add(new StreamRecord<>(new Tuple3<>("key2-2", 10000L, 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.processWatermark(new Watermark(20000));

	expected.add(new StreamRecord<>(new Tuple3<>("key2-3", 10000L, 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();
}
Example 18
Source File: WindowOperatorTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
public void testSideOutputDueToLatenessSessionZeroLateness() throws Exception {
	final int gapSize = 3;
	final long lateness = 0;

	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()),
			EventTimeTrigger.create(),
			lateness,
			lateOutputTag);

	OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness =
		createTestHarness(operator);

	testHarness.open();

	ConcurrentLinkedQueue<Object> expected = new ConcurrentLinkedQueue<>();
	ConcurrentLinkedQueue<Object> sideExpected = 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 dropped 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));

	// this is sideoutput as late, reuse last timestamp
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));
	sideExpected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 14500));
	testHarness.processWatermark(new Watermark(20000));

	expected.add(new StreamRecord<>(new Tuple3<>("key2-1", 14500L, 17500L), 17499));
	expected.add(new Watermark(20000));

	testHarness.processWatermark(new Watermark(100000));
	expected.add(new Watermark(100000));

	ConcurrentLinkedQueue<Object> actual = testHarness.getOutput();
	ConcurrentLinkedQueue<StreamRecord<Tuple2<String, Integer>>> sideActual = testHarness.getSideOutput(
			lateOutputTag);
	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expected, actual, new Tuple2ResultSortComparator());
	TestHarnessUtil.assertOutputEqualsSorted("SideOutput was not correct.", sideExpected, (Iterable) sideActual, new Tuple2ResultSortComparator());
	testHarness.close();
}
Example 19
Source File: WindowOperatorTest.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
@Test
public void testSideOutputDueToLatenessSessionZeroLatenessPurgingTrigger() throws Exception {
	final int gapSize = 3;
	final long lateness = 0;

	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<>();
	ConcurrentLinkedQueue<Object> sideExpected = 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 dropped 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));

	// this is side output as late
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));
	sideExpected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 10000));

	// this is also side output as late (we test that they are not accidentally merged)
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 10100));
	sideExpected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 10100));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 14500));
	testHarness.processWatermark(new Watermark(20000));

	expected.add(new StreamRecord<>(new Tuple3<>("key2-1", 14500L, 17500L), 17499));
	expected.add(new Watermark(20000));

	testHarness.processWatermark(new Watermark(100000));

	expected.add(new Watermark(100000));

	ConcurrentLinkedQueue<Object> actual = testHarness.getOutput();
	ConcurrentLinkedQueue<StreamRecord<Tuple2<String, Integer>>> sideActual = testHarness.getSideOutput(lateOutputTag);

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expected, actual, new Tuple2ResultSortComparator());
	TestHarnessUtil.assertOutputEqualsSorted("SideOutput was not correct.", sideExpected, (Iterable) sideActual, new Tuple2ResultSortComparator());

	testHarness.close();
}
Example 20
Source File: LegacyKeyedProcessOperatorTest.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
/**
 * This also verifies that the timestamps ouf side-emitted records is correct.
 */
@Test
public void testSideOutput() throws Exception {
	LegacyKeyedProcessOperator<Integer, Integer, String> operator =
		new LegacyKeyedProcessOperator<>(new SideOutputProcessFunction());

	OneInputStreamOperatorTestHarness<Integer, String> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(
			operator, new IdentityKeySelector<>(), BasicTypeInfo.INT_TYPE_INFO);

	testHarness.setup();
	testHarness.open();

	testHarness.processElement(new StreamRecord<>(42, 17L /* timestamp */));

	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	expectedOutput.add(new StreamRecord<>("IN:42", 17L /* timestamp */));

	TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());

	ConcurrentLinkedQueue<StreamRecord<Integer>> expectedIntSideOutput = new ConcurrentLinkedQueue<>();
	expectedIntSideOutput.add(new StreamRecord<>(42, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Integer>> intSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.INTEGER_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedIntSideOutput,
		intSideOutput);

	ConcurrentLinkedQueue<StreamRecord<Long>> expectedLongSideOutput = new ConcurrentLinkedQueue<>();
	expectedLongSideOutput.add(new StreamRecord<>(42L, 17L /* timestamp */));
	ConcurrentLinkedQueue<StreamRecord<Long>> longSideOutput =
		testHarness.getSideOutput(SideOutputProcessFunction.LONG_OUTPUT_TAG);
	TestHarnessUtil.assertOutputEquals(
		"Side output was not correct.",
		expectedLongSideOutput,
		longSideOutput);

	testHarness.close();
}