Examples with TypeSerializer org.apache.flink.api.common.typeutils.TypeSerializer used on opensource projects

Example 16 with TypeSerializer

use of org.apache.flink.api.common.typeutils.TypeSerializer in project flink by apache.

the class EvictingWindowOperatorTest method testDeltaEvictorEvictAfter.

/**
	 * Tests DeltaEvictor, evictAfter behavior
	 * @throws Exception
	 */
@Test
public void testDeltaEvictorEvictAfter() throws Exception {
    AtomicInteger closeCalled = new AtomicInteger(0);
    final int TRIGGER_COUNT = 2;
    final boolean EVICT_AFTER = true;
    final int THRESHOLD = 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(TRIGGER_COUNT), DeltaEvictor.of(THRESHOLD, new DeltaFunction<Tuple2<String, Integer>>() {

        @Override
        public double getDelta(Tuple2<String, Integer> oldDataPoint, Tuple2<String, Integer> newDataPoint) {
            return newDataPoint.f1 - oldDataPoint.f1;
        }
    }, 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", 4), 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", 5), initialTime + 999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 5), initialTime + 1998));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 6), initialTime + 1999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 5), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 15), 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", 9), initialTime + 10999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 10), initialTime + 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 16), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 22), 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());
}

Example 17 with TypeSerializer

use of org.apache.flink.api.common.typeutils.TypeSerializer in project flink by apache.

the class EvictingWindowOperatorTest method testTimeEvictorNoTimestamp.

/**
	 * Tests time evictor, if no timestamp information in the StreamRecord
	 * No element will be evicted from the window
	 * @throws Exception
	 */
@Test
public void testTimeEvictorNoTimestamp() throws Exception {
    AtomicInteger closeCalled = new AtomicInteger(0);
    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), TimeEvictor.of(Time.seconds(2), EVICT_AFTER), 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();
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), 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.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
    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.close();
    Assert.assertEquals("Close was not called.", 1, closeCalled.get());
}

Example 18 with TypeSerializer

use of org.apache.flink.api.common.typeutils.TypeSerializer in project flink by apache.

the class EvictingWindowOperatorTest method testDeltaEvictorEvictBefore.

/**
	 * Tests DeltaEvictor, evictBefore behavior
	 * @throws Exception
	 */
@Test
public void testDeltaEvictorEvictBefore() throws Exception {
    AtomicInteger closeCalled = new AtomicInteger(0);
    final int TRIGGER_COUNT = 2;
    final boolean EVICT_AFTER = false;
    final int THRESHOLD = 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(TRIGGER_COUNT), DeltaEvictor.of(THRESHOLD, new DeltaFunction<Tuple2<String, Integer>>() {

        @Override
        public double getDelta(Tuple2<String, Integer> oldDataPoint, Tuple2<String, Integer> newDataPoint) {
            return newDataPoint.f1 - oldDataPoint.f1;
        }
    }, 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", 4), 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", 5), initialTime + 999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 5), initialTime + 1998));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 6), initialTime + 1999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 11), 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", 3), initialTime + 10999));
    testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 10), initialTime + 1000));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 8), Long.MAX_VALUE));
    expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 10), 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());
}

Example 19 with TypeSerializer

use of org.apache.flink.api.common.typeutils.TypeSerializer in project flink by apache.

the class ReusingSortMergeInnerJoinIteratorITCase method beforeTest.

@SuppressWarnings("unchecked")
@Before
public void beforeTest() {
    serializer1 = new TupleSerializer<Tuple2<Integer, String>>((Class<Tuple2<Integer, String>>) (Class<?>) Tuple2.class, new TypeSerializer<?>[] { IntSerializer.INSTANCE, StringSerializer.INSTANCE });
    serializer2 = new TupleSerializer<Tuple2<Integer, String>>((Class<Tuple2<Integer, String>>) (Class<?>) Tuple2.class, new TypeSerializer<?>[] { IntSerializer.INSTANCE, StringSerializer.INSTANCE });
    comparator1 = new TupleComparator<Tuple2<Integer, String>>(new int[] { 0 }, new TypeComparator<?>[] { new IntComparator(true) }, new TypeSerializer<?>[] { IntSerializer.INSTANCE });
    comparator2 = new TupleComparator<Tuple2<Integer, String>>(new int[] { 0 }, new TypeComparator<?>[] { new IntComparator(true) }, new TypeSerializer<?>[] { IntSerializer.INSTANCE });
    pairComparator = new GenericPairComparator<Tuple2<Integer, String>, Tuple2<Integer, String>>(comparator1, comparator2);
    this.memoryManager = new MemoryManager(MEMORY_SIZE, 1);
    this.ioManager = new IOManagerAsync();
}

Example 20 with TypeSerializer

use of org.apache.flink.api.common.typeutils.TypeSerializer in project flink by apache.

the class NonReusingSortMergeInnerJoinIteratorITCase method beforeTest.

@SuppressWarnings("unchecked")
@Before
public void beforeTest() {
    serializer1 = new TupleSerializer<Tuple2<Integer, String>>((Class<Tuple2<Integer, String>>) (Class<?>) Tuple2.class, new TypeSerializer<?>[] { IntSerializer.INSTANCE, StringSerializer.INSTANCE });
    serializer2 = new TupleSerializer<Tuple2<Integer, String>>((Class<Tuple2<Integer, String>>) (Class<?>) Tuple2.class, new TypeSerializer<?>[] { IntSerializer.INSTANCE, StringSerializer.INSTANCE });
    comparator1 = new TupleComparator<Tuple2<Integer, String>>(new int[] { 0 }, new TypeComparator<?>[] { new IntComparator(true) }, new TypeSerializer<?>[] { IntSerializer.INSTANCE });
    comparator2 = new TupleComparator<Tuple2<Integer, String>>(new int[] { 0 }, new TypeComparator<?>[] { new IntComparator(true) }, new TypeSerializer<?>[] { IntSerializer.INSTANCE });
    pairComparator = new GenericPairComparator<Tuple2<Integer, String>, Tuple2<Integer, String>>(comparator1, comparator2);
    this.memoryManager = new MemoryManager(MEMORY_SIZE, 1);
    this.ioManager = new IOManagerAsync();
}