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Example 26 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project flink by apache.

the class KeyedProcessOperatorTest method testSnapshotAndRestore.

@Test
public void testSnapshotAndRestore() throws Exception {
    KeyedProcessOperator<Integer, Integer, String> operator = new KeyedProcessOperator<>(new BothTriggeringFlatMapFunction());
    OneInputStreamOperatorTestHarness<Integer, String> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new IdentityKeySelector<Integer>(), BasicTypeInfo.INT_TYPE_INFO);
    testHarness.setup();
    testHarness.open();
    testHarness.processElement(new StreamRecord<>(5, 12L));
    // snapshot and restore from scratch
    OperatorStateHandles snapshot = testHarness.snapshot(0, 0);
    testHarness.close();
    operator = new KeyedProcessOperator<>(new BothTriggeringFlatMapFunction());
    testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new IdentityKeySelector<Integer>(), BasicTypeInfo.INT_TYPE_INFO);
    testHarness.setup();
    testHarness.initializeState(snapshot);
    testHarness.open();
    testHarness.setProcessingTime(5);
    testHarness.processWatermark(new Watermark(6));
    ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
    expectedOutput.add(new StreamRecord<>("PROC:1777", 5L));
    expectedOutput.add(new StreamRecord<>("EVENT:1777", 6L));
    expectedOutput.add(new Watermark(6));
    System.out.println("GOT: " + testHarness.getOutput());
    TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());
    testHarness.close();
}
Also used : KeyedOneInputStreamOperatorTestHarness(org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness) OperatorStateHandles(org.apache.flink.streaming.runtime.tasks.OperatorStateHandles) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) Watermark(org.apache.flink.streaming.api.watermark.Watermark) Test(org.junit.Test)

Example 27 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project flink by apache.

the class KeyedProcessOperatorTest method testEventTimeTimerWithState.

/**
	 * Verifies that we don't have leakage between different keys.
	 */
@Test
public void testEventTimeTimerWithState() throws Exception {
    KeyedProcessOperator<Integer, Integer, String> operator = new KeyedProcessOperator<>(new TriggeringStatefulFlatMapFunction(TimeDomain.EVENT_TIME));
    OneInputStreamOperatorTestHarness<Integer, String> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new IdentityKeySelector<Integer>(), BasicTypeInfo.INT_TYPE_INFO);
    testHarness.setup();
    testHarness.open();
    testHarness.processWatermark(new Watermark(1));
    // should set timer for 6
    testHarness.processElement(new StreamRecord<>(17, 0L));
    testHarness.processWatermark(new Watermark(2));
    // should set timer for 7
    testHarness.processElement(new StreamRecord<>(42, 1L));
    testHarness.processWatermark(new Watermark(6));
    testHarness.processWatermark(new Watermark(7));
    ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
    expectedOutput.add(new Watermark(1L));
    expectedOutput.add(new StreamRecord<>("INPUT:17", 0L));
    expectedOutput.add(new Watermark(2L));
    expectedOutput.add(new StreamRecord<>("INPUT:42", 1L));
    expectedOutput.add(new StreamRecord<>("STATE:17", 6L));
    expectedOutput.add(new Watermark(6L));
    expectedOutput.add(new StreamRecord<>("STATE:42", 7L));
    expectedOutput.add(new Watermark(7L));
    TestHarnessUtil.assertOutputEquals("Output was not correct.", expectedOutput, testHarness.getOutput());
    testHarness.close();
}
Also used : KeyedOneInputStreamOperatorTestHarness(org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) Watermark(org.apache.flink.streaming.api.watermark.Watermark) Test(org.junit.Test)

Example 28 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project flink by apache.

the class EvictingWindowOperatorTest method testCountTrigger.

@Test
@SuppressWarnings("unchecked")
public void testCountTrigger() throws Exception {
    final int WINDOW_SIZE = 4;
    final int WINDOW_SLIDE = 2;
    TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
    @SuppressWarnings({ "unchecked", "rawtypes" }) TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer = (TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));
    ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc = new ListStateDescriptor<>("window-contents", streamRecordSerializer);
    EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(GlobalWindows.create(), new GlobalWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalIterableWindowFunction<>(new ReduceIterableWindowFunction<String, GlobalWindow, Tuple2<String, Integer>>(new SumReducer())), CountTrigger.of(WINDOW_SLIDE), CountEvictor.of(WINDOW_SIZE), 0, null);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
    long initialTime = 0L;
    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), initialTime + 3000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 20));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1998));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 10999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 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, testHarness.getOutput(), new ResultSortComparator());
    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) TypeSerializer(org.apache.flink.api.common.typeutils.TypeSerializer) StreamElementSerializer(org.apache.flink.streaming.runtime.streamrecord.StreamElementSerializer) ReduceIterableWindowFunction(org.apache.flink.streaming.api.functions.windowing.ReduceIterableWindowFunction) StreamRecord(org.apache.flink.streaming.runtime.streamrecord.StreamRecord) AtomicInteger(java.util.concurrent.atomic.AtomicInteger) 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 29 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project flink by apache.

the class EvictingWindowOperatorTest method testCountTriggerWithApply.

@Test
@SuppressWarnings("unchecked")
public void testCountTriggerWithApply() throws Exception {
    AtomicInteger closeCalled = new AtomicInteger(0);
    final int WINDOW_SIZE = 4;
    final int WINDOW_SLIDE = 2;
    TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
    @SuppressWarnings({ "unchecked", "rawtypes" }) TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer = (TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));
    ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc = new ListStateDescriptor<>("window-contents", streamRecordSerializer);
    EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(GlobalWindows.create(), new GlobalWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalIterableWindowFunction<>(new RichSumReducer<GlobalWindow>(closeCalled)), CountTrigger.of(WINDOW_SLIDE), CountEvictor.of(WINDOW_SIZE), 0, null);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
    long initialTime = 0L;
    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), initialTime + 3000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 20));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1998));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 10999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 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, testHarness.getOutput(), new ResultSortComparator());
    testHarness.close();
    Assert.assertEquals("Close was not called.", 1, closeCalled.get());
}
Also used : ListStateDescriptor(org.apache.flink.api.common.state.ListStateDescriptor) ExecutionConfig(org.apache.flink.api.common.ExecutionConfig) KeyedOneInputStreamOperatorTestHarness(org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness) TypeSerializer(org.apache.flink.api.common.typeutils.TypeSerializer) StreamElementSerializer(org.apache.flink.streaming.runtime.streamrecord.StreamElementSerializer) StreamRecord(org.apache.flink.streaming.runtime.streamrecord.StreamRecord) AtomicInteger(java.util.concurrent.atomic.AtomicInteger) AtomicInteger(java.util.concurrent.atomic.AtomicInteger) 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 30 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project flink by apache.

the class EvictingWindowOperatorTest method testCountEvictorEvictAfter.

/**
	 * Tests CountEvictor evictAfter behavior
	 * @throws Exception
     */
@Test
public void testCountEvictorEvictAfter() throws Exception {
    AtomicInteger closeCalled = new AtomicInteger(0);
    final int WINDOW_SIZE = 4;
    final int TRIGGER_COUNT = 2;
    final boolean EVICT_AFTER = true;
    TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
    @SuppressWarnings({ "unchecked", "rawtypes" }) TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer = (TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));
    ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc = new ListStateDescriptor<>("window-contents", streamRecordSerializer);
    EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(GlobalWindows.create(), new GlobalWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), stateDesc, new InternalIterableWindowFunction<>(new RichSumReducer<GlobalWindow>(closeCalled)), CountTrigger.of(TRIGGER_COUNT), CountEvictor.of(WINDOW_SIZE, EVICT_AFTER), 0, null);
    OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
    long initialTime = 0L;
    ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();
    testHarness.open();
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 20));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1998));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 10999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 4), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 6), Long.MAX_VALUE));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 6), Long.MAX_VALUE));
    TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());
    testHarness.close();
    Assert.assertEquals("Close was not called.", 1, closeCalled.get());
}
Also used : ListStateDescriptor(org.apache.flink.api.common.state.ListStateDescriptor) ExecutionConfig(org.apache.flink.api.common.ExecutionConfig) KeyedOneInputStreamOperatorTestHarness(org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness) TypeSerializer(org.apache.flink.api.common.typeutils.TypeSerializer) StreamElementSerializer(org.apache.flink.streaming.runtime.streamrecord.StreamElementSerializer) StreamRecord(org.apache.flink.streaming.runtime.streamrecord.StreamRecord) AtomicInteger(java.util.concurrent.atomic.AtomicInteger) AtomicInteger(java.util.concurrent.atomic.AtomicInteger) 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)

Aggregations

ConcurrentLinkedQueue (java.util.concurrent.ConcurrentLinkedQueue)236 Test (org.junit.Test)102 AtomicInteger (java.util.concurrent.atomic.AtomicInteger)56 Watermark (org.apache.flink.streaming.api.watermark.Watermark)52 KeyedOneInputStreamOperatorTestHarness (org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness)43 ExecutionConfig (org.apache.flink.api.common.ExecutionConfig)40 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)40 CountDownLatch (java.util.concurrent.CountDownLatch)37 ArrayList (java.util.ArrayList)31 TimeWindow (org.apache.flink.streaming.api.windowing.windows.TimeWindow)28 ListStateDescriptor (org.apache.flink.api.common.state.ListStateDescriptor)18 ReducingStateDescriptor (org.apache.flink.api.common.state.ReducingStateDescriptor)17 IOException (java.io.IOException)15 Tuple3 (org.apache.flink.api.java.tuple.Tuple3)15 StreamRecord (org.apache.flink.streaming.runtime.streamrecord.StreamRecord)14 ExecutionException (java.util.concurrent.ExecutionException)13 ExecutorService (java.util.concurrent.ExecutorService)13 Map (java.util.Map)12 OperatorStateHandles (org.apache.flink.streaming.runtime.tasks.OperatorStateHandles)12 Iterator (java.util.Iterator)11