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Example 46 with OperatorStateHandles

use of org.apache.flink.streaming.runtime.tasks.OperatorStateHandles in project flink by apache.

the class WindowOperatorTest method testTumblingEventTimeWindows.

private void testTumblingEventTimeWindows(OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness) throws Exception {
    ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
    testHarness.open();
    // add elements out-of-order
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 3999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 3000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 20));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 0));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1998));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
    testHarness.processWatermark(new Watermark(999));
    expectedOutput.add(new Watermark(999));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
    testHarness.processWatermark(new Watermark(1999));
    expectedOutput.add(new Watermark(1999));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
    // do a snapshot, close and restore again
    OperatorStateHandles snapshot = testHarness.snapshot(0L, 0L);
    testHarness.close();
    testHarness.setup();
    testHarness.initializeState(snapshot);
    testHarness.open();
    testHarness.processWatermark(new Watermark(2999));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 3), 2999));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 3), 2999));
    expectedOutput.add(new Watermark(2999));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
    testHarness.processWatermark(new Watermark(3999));
    expectedOutput.add(new Watermark(3999));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
    testHarness.processWatermark(new Watermark(4999));
    expectedOutput.add(new Watermark(4999));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
    testHarness.processWatermark(new Watermark(5999));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), 5999));
    expectedOutput.add(new Watermark(5999));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
    // those don't have any effect...
    testHarness.processWatermark(new Watermark(6999));
    testHarness.processWatermark(new Watermark(7999));
    expectedOutput.add(new Watermark(6999));
    expectedOutput.add(new Watermark(7999));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple2ResultSortComparator());
}
Also used : OperatorStateHandles(org.apache.flink.streaming.runtime.tasks.OperatorStateHandles) Tuple2(org.apache.flink.api.java.tuple.Tuple2) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) Watermark(org.apache.flink.streaming.api.watermark.Watermark)

Example 47 with OperatorStateHandles

use of org.apache.flink.streaming.runtime.tasks.OperatorStateHandles in project flink by apache.

the class WindowOperatorTest method testPointSessions.

@Test
@SuppressWarnings("unchecked")
public /**
	 * This tests a custom Session window assigner that assigns some elements to "point windows",
	 * windows that have the same timestamp for start and end.
	 *
	 * <p> In this test, elements that have 33 as the second tuple field will be put into a point
	 * window.
	 */
void testPointSessions() throws Exception {
    closeCalled.set(0);
    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>>, Tuple3<String, Long, Long>, TimeWindow> operator = new WindowOperator<>(new PointSessionWindows(3000), 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 = new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
    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", 33), 1000));
    // do a snapshot, close and restore again
    OperatorStateHandles snapshot = testHarness.snapshot(0L, 0L);
    testHarness.close();
    testHarness.setup();
    testHarness.initializeState(snapshot);
    testHarness.open();
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 33), 2500));
    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", 33), 2500));
    testHarness.processWatermark(new Watermark(12000));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key1-36", 10L, 4000L), 3999));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-67", 0L, 3000L), 2999));
    expectedOutput.add(new Watermark(12000));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple3ResultSortComparator());
    testHarness.close();
}
Also used : ListStateDescriptor(org.apache.flink.api.common.state.ListStateDescriptor) ExecutionConfig(org.apache.flink.api.common.ExecutionConfig) KeyedOneInputStreamOperatorTestHarness(org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness) OperatorStateHandles(org.apache.flink.streaming.runtime.tasks.OperatorStateHandles) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) AtomicInteger(java.util.concurrent.atomic.AtomicInteger) Tuple2(org.apache.flink.api.java.tuple.Tuple2) Tuple3(org.apache.flink.api.java.tuple.Tuple3) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) Watermark(org.apache.flink.streaming.api.watermark.Watermark) Test(org.junit.Test)

Example 48 with OperatorStateHandles

use of org.apache.flink.streaming.runtime.tasks.OperatorStateHandles in project flink by apache.

the class WindowOperatorTest method testCountTrigger.

@Test
@SuppressWarnings("unchecked")
public void testCountTrigger() throws Exception {
    closeCalled.set(0);
    final int WINDOW_SIZE = 4;
    TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
    ReducingStateDescriptor<Tuple2<String, Integer>> stateDesc = new ReducingStateDescriptor<>("window-contents", new SumReducer(), inputType.createSerializer(new ExecutionConfig()));
    WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new WindowOperator<>(GlobalWindows.create(), new GlobalWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, GlobalWindow, Tuple2<String, Integer>>()), PurgingTrigger.of(CountTrigger.of(WINDOW_SIZE)), 0, null);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
    ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
    testHarness.open();
    // The global window actually ignores these timestamps...
    // add elements out-of-order
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 3000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 3999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 20));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 0));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1998));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1999));
    // do a snapshot, close and restore again
    OperatorStateHandles snapshot = testHarness.snapshot(0L, 0L);
    testHarness.close();
    ConcurrentLinkedQueue<Object> outputBeforeClose = testHarness.getOutput();
    stateDesc = new ReducingStateDescriptor<>("window-contents", new SumReducer(), inputType.createSerializer(new ExecutionConfig()));
    operator = new WindowOperator<>(GlobalWindows.create(), new GlobalWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, GlobalWindow, Tuple2<String, Integer>>()), PurgingTrigger.of(CountTrigger.of(WINDOW_SIZE)), 0, null);
    testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
    testHarness.setup();
    testHarness.initializeState(snapshot);
    testHarness.open();
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, Iterables.concat(outputBeforeClose, testHarness.getOutput()), new Tuple2ResultSortComparator());
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 10999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 4), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, Iterables.concat(outputBeforeClose, testHarness.getOutput()), new Tuple2ResultSortComparator());
    testHarness.close();
}
Also used : InternalSingleValueWindowFunction(org.apache.flink.streaming.runtime.operators.windowing.functions.InternalSingleValueWindowFunction) ExecutionConfig(org.apache.flink.api.common.ExecutionConfig) KeyedOneInputStreamOperatorTestHarness(org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness) OperatorStateHandles(org.apache.flink.streaming.runtime.tasks.OperatorStateHandles) ReducingStateDescriptor(org.apache.flink.api.common.state.ReducingStateDescriptor) AtomicInteger(java.util.concurrent.atomic.AtomicInteger) PassThroughWindowFunction(org.apache.flink.streaming.api.functions.windowing.PassThroughWindowFunction) Tuple2(org.apache.flink.api.java.tuple.Tuple2) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) GlobalWindow(org.apache.flink.streaming.api.windowing.windows.GlobalWindow) Test(org.junit.Test)

Example 49 with OperatorStateHandles

use of org.apache.flink.streaming.runtime.tasks.OperatorStateHandles in project flink by apache.

the class WindowOperatorTest method testSessionWindowsWithContinuousEventTimeTrigger.

/**
	 * This tests whether merging works correctly with the ContinuousEventTimeTrigger.
	 * @throws Exception
	 */
@Test
@SuppressWarnings("unchecked")
public void testSessionWindowsWithContinuousEventTimeTrigger() throws Exception {
    closeCalled.set(0);
    final int SESSION_SIZE = 3;
    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>>, Tuple3<String, Long, Long>, TimeWindow> operator = new WindowOperator<>(EventTimeSessionWindows.withGap(Time.seconds(SESSION_SIZE)), new TimeWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalIterableWindowFunction<>(new SessionWindowFunction()), ContinuousEventTimeTrigger.of(Time.seconds(2)), 0, null);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple3<String, Long, Long>> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
    ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
    testHarness.open();
    // add elements out-of-order and first trigger time is 2000
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), 1500));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 0));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 3), 2500));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 2), 1000));
    // triggers emit and next trigger time is 4000
    testHarness.processWatermark(new Watermark(2500));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key1-1", 1500L, 4500L), 4499));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-6", 0L, 5500L), 5499));
    expectedOutput.add(new Watermark(2500));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 5), 4000));
    testHarness.processWatermark(new Watermark(3000));
    expectedOutput.add(new Watermark(3000));
    // do a snapshot, close and restore again
    OperatorStateHandles snapshot = testHarness.snapshot(0L, 0L);
    testHarness.close();
    testHarness.setup();
    testHarness.initializeState(snapshot);
    testHarness.open();
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 2), 4000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 4), 3500));
    // triggers emit and next trigger time is 6000
    testHarness.processWatermark(new Watermark(4000));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key1-3", 1500L, 7000L), 6999));
    expectedOutput.add(new StreamRecord<>(new Tuple3<>("key2-15", 0L, 7000L), 6999));
    expectedOutput.add(new Watermark(4000));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new Tuple3ResultSortComparator());
    testHarness.close();
}
Also used : ListStateDescriptor(org.apache.flink.api.common.state.ListStateDescriptor) ExecutionConfig(org.apache.flink.api.common.ExecutionConfig) KeyedOneInputStreamOperatorTestHarness(org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness) OperatorStateHandles(org.apache.flink.streaming.runtime.tasks.OperatorStateHandles) TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) AtomicInteger(java.util.concurrent.atomic.AtomicInteger) Tuple2(org.apache.flink.api.java.tuple.Tuple2) Tuple3(org.apache.flink.api.java.tuple.Tuple3) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) Watermark(org.apache.flink.streaming.api.watermark.Watermark) Test(org.junit.Test)

Example 50 with OperatorStateHandles

use of org.apache.flink.streaming.runtime.tasks.OperatorStateHandles in project flink by apache.

the class WindowOperatorContractTest method testStateSnapshotAndRestore.

@Test
public void testStateSnapshotAndRestore() throws Exception {
    MergingWindowAssigner<Integer, TimeWindow> mockAssigner = mockMergingAssigner();
    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();
    when(mockAssigner.assignWindows(anyInt(), anyLong(), anyAssignerContext())).thenReturn(Arrays.asList(new TimeWindow(2, 4), 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 {
            Trigger.TriggerContext context = (Trigger.TriggerContext) invocation.getArguments()[3];
            context.registerEventTimeTimer(0L);
            context.getPartitionedState(valueStateDescriptor).update("hello");
            return TriggerResult.CONTINUE;
        }
    }).when(mockTrigger).onElement(Matchers.<Integer>anyObject(), anyLong(), anyTimeWindow(), anyTriggerContext());
    shouldFireAndPurgeOnEventTime(mockTrigger);
    testHarness.processElement(new StreamRecord<>(0, 0L));
    // window-contents and trigger state for two windows plus merging window set
    assertEquals(5, testHarness.numKeyedStateEntries());
    // timers/gc timers for two windows
    assertEquals(4, testHarness.numEventTimeTimers());
    OperatorStateHandles snapshot = testHarness.snapshot(0, 0);
    // restore
    mockAssigner = mockMergingAssigner();
    mockTrigger = mockTrigger();
    doAnswer(new Answer<Object>() {

        @Override
        public Object answer(InvocationOnMock invocation) throws Exception {
            Trigger.TriggerContext context = (Trigger.TriggerContext) invocation.getArguments()[1];
            context.deleteEventTimeTimer(0L);
            context.getPartitionedState(valueStateDescriptor).clear();
            return null;
        }
    }).when(mockTrigger).clear(anyTimeWindow(), anyTriggerContext());
    // only fire on the timestamp==0L timers, not the gc timers
    when(mockTrigger.onEventTime(eq(0L), Matchers.<TimeWindow>any(), anyTriggerContext())).thenReturn(TriggerResult.FIRE);
    mockWindowFunction = mockWindowFunction();
    testHarness = createWindowOperator(mockAssigner, mockTrigger, 0L, intListDescriptor, mockWindowFunction);
    testHarness.setup();
    testHarness.initializeState(snapshot);
    testHarness.open();
    assertEquals(0, testHarness.extractOutputStreamRecords().size());
    // verify that we still have all the state/timers/merging window set
    assertEquals(5, testHarness.numKeyedStateEntries());
    // timers/gc timers for two windows
    assertEquals(4, testHarness.numEventTimeTimers());
    verify(mockTrigger, never()).clear(anyTimeWindow(), anyTriggerContext());
    testHarness.processWatermark(new Watermark(20L));
    verify(mockTrigger, times(2)).clear(anyTimeWindow(), anyTriggerContext());
    verify(mockWindowFunction, times(2)).apply(eq(0), anyTimeWindow(), anyIntIterable(), WindowOperatorContractTest.<Void>anyCollector());
    verify(mockWindowFunction, times(1)).apply(eq(0), eq(new TimeWindow(0, 2)), intIterable(0), WindowOperatorContractTest.<Void>anyCollector());
    verify(mockWindowFunction, times(1)).apply(eq(0), eq(new TimeWindow(2, 4)), intIterable(0), WindowOperatorContractTest.<Void>anyCollector());
    // it's also called for the cleanup timers
    verify(mockTrigger, times(4)).onEventTime(anyLong(), anyTimeWindow(), anyTriggerContext());
    verify(mockTrigger, times(1)).onEventTime(eq(0L), eq(new TimeWindow(0, 2)), anyTriggerContext());
    verify(mockTrigger, times(1)).onEventTime(eq(0L), eq(new TimeWindow(2, 4)), anyTriggerContext());
    assertEquals(0, testHarness.numKeyedStateEntries());
    assertEquals(0, testHarness.numEventTimeTimers());
}
Also used : TimeWindow(org.apache.flink.streaming.api.windowing.windows.TimeWindow) Trigger(org.apache.flink.streaming.api.windowing.triggers.Trigger) OperatorStateHandles(org.apache.flink.streaming.runtime.tasks.OperatorStateHandles) InvocationOnMock(org.mockito.invocation.InvocationOnMock) TriggerResult(org.apache.flink.streaming.api.windowing.triggers.TriggerResult) Watermark(org.apache.flink.streaming.api.watermark.Watermark) Test(org.junit.Test)

Aggregations

OperatorStateHandles (org.apache.flink.streaming.runtime.tasks.OperatorStateHandles)51 Test (org.junit.Test)45 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)17 Watermark (org.apache.flink.streaming.api.watermark.Watermark)16 KeyedOneInputStreamOperatorTestHarness (org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness)14 ConcurrentLinkedQueue (java.util.concurrent.ConcurrentLinkedQueue)12 ExecutionConfig (org.apache.flink.api.common.ExecutionConfig)9 TimeWindow (org.apache.flink.streaming.api.windowing.windows.TimeWindow)8 File (java.io.File)7 Tuple3 (org.apache.flink.api.java.tuple.Tuple3)7 AbstractStreamOperatorTestHarness (org.apache.flink.streaming.util.AbstractStreamOperatorTestHarness)7 SequenceFile (org.apache.hadoop.io.SequenceFile)7 AtomicInteger (java.util.concurrent.atomic.AtomicInteger)6 OneInputStreamOperatorTestHarness (org.apache.flink.streaming.util.OneInputStreamOperatorTestHarness)6 PrepareForTest (org.powermock.core.classloader.annotations.PrepareForTest)6 ArrayList (java.util.ArrayList)5 Map (java.util.Map)5 ListStateDescriptor (org.apache.flink.api.common.state.ListStateDescriptor)5 OneShotLatch (org.apache.flink.core.testutils.OneShotLatch)5 Event (org.apache.flink.cep.Event)4