org.apache.flink.api.common.state.AggregatingStateDescriptor Java Examples

The following examples show how to use org.apache.flink.api.common.state.AggregatingStateDescriptor. 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: StreamingRuntimeContextTest.java    From flink with Apache License 2.0 6 votes vote down vote up 
@Test
public void testAggregatingStateInstantiation() throws Exception {
	final ExecutionConfig config = new ExecutionConfig();
	config.registerKryoType(Path.class);

	final AtomicReference<Object> descriptorCapture = new AtomicReference<>();

	StreamingRuntimeContext context = createRuntimeContext(descriptorCapture, config);

	@SuppressWarnings("unchecked")
	AggregateFunction<String, TaskInfo, String> aggregate = (AggregateFunction<String, TaskInfo, String>) mock(AggregateFunction.class);

	AggregatingStateDescriptor<String, TaskInfo, String> descr =
			new AggregatingStateDescriptor<>("name", aggregate, TaskInfo.class);

	context.getAggregatingState(descr);

	AggregatingStateDescriptor<?, ?, ?> descrIntercepted = (AggregatingStateDescriptor<?, ?, ?>) descriptorCapture.get();
	TypeSerializer<?> serializer = descrIntercepted.getSerializer();

	// check that the Path class is really registered, i.e., the execution config was applied
	assertTrue(serializer instanceof KryoSerializer);
	assertTrue(((KryoSerializer<?>) serializer).getKryo().getRegistration(Path.class).getId() > 0);
}
Example #2
Source File: MockInternalAggregatingState.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings({"unchecked", "unused"})
static <IN, OUT, N, ACC, S extends State, IS extends S> IS createState(
	TypeSerializer<N> namespaceSerializer,
	StateDescriptor<S, ACC> stateDesc) {
	AggregatingStateDescriptor<IN, ACC, OUT> aggregatingStateDesc =
		(AggregatingStateDescriptor<IN, ACC, OUT>) stateDesc;
	return (IS) new MockInternalAggregatingState<>(aggregatingStateDesc.getAggregateFunction());
}
Example #3
Source File: TtlStateFactory.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("deprecation")
private Map<Class<? extends StateDescriptor>, SupplierWithException<IS, Exception>> createStateFactories() {
	return Stream.of(
		Tuple2.of(ValueStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createValueState),
		Tuple2.of(ListStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createListState),
		Tuple2.of(MapStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createMapState),
		Tuple2.of(ReducingStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createReducingState),
		Tuple2.of(AggregatingStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createAggregatingState),
		Tuple2.of(FoldingStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createFoldingState)
	).collect(Collectors.toMap(t -> t.f0, t -> t.f1));
}
Example #4
Source File: DefaultKeyedStateStore.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@Override
public <IN, ACC, OUT> AggregatingState<IN, OUT> getAggregatingState(AggregatingStateDescriptor<IN, ACC, OUT> stateProperties) {
	requireNonNull(stateProperties, "The state properties must not be null");
	try {
		stateProperties.initializeSerializerUnlessSet(executionConfig);
		return getPartitionedState(stateProperties);
	} catch (Exception e) {
		throw new RuntimeException("Error while getting state", e);
	}
}
Example #5
Source File: RocksDBAggregatingState.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
static <K, N, SV, S extends State, IS extends S> IS create(
	StateDescriptor<S, SV> stateDesc,
	Tuple2<ColumnFamilyHandle, RegisteredKeyValueStateBackendMetaInfo<N, SV>> registerResult,
	RocksDBKeyedStateBackend<K> backend) {
	return (IS) new RocksDBAggregatingState<>(
		registerResult.f0,
		registerResult.f1.getNamespaceSerializer(),
		registerResult.f1.getStateSerializer(),
		stateDesc.getDefaultValue(),
		((AggregatingStateDescriptor<?, SV, ?>) stateDesc).getAggregateFunction(),
		backend);
}
Example #6
Source File: AllWindowTranslationTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateWithWindowFunctionProcessingTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);

	DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));

	DataStream<Tuple3<String, String, Integer>> window = source
			.windowAll(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
			.aggregate(new DummyAggregationFunction(), new TestAllWindowFunction());

	OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>> transform =
			(OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>>) window.getTransformation();

	OneInputStreamOperator<Tuple2<String, Integer>, Tuple3<String, String, Integer>> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?> winOperator =
			(WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof ProcessingTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #7
Source File: DefaultKeyedStateStore.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Override
public <IN, ACC, OUT> AggregatingState<IN, OUT> getAggregatingState(AggregatingStateDescriptor<IN, ACC, OUT> stateProperties) {
	requireNonNull(stateProperties, "The state properties must not be null");
	try {
		stateProperties.initializeSerializerUnlessSet(executionConfig);
		return getPartitionedState(stateProperties);
	} catch (Exception e) {
		throw new RuntimeException("Error while getting state", e);
	}
}
Example #8
Source File: HeapAggregatingState.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
static <T, K, N, SV, S extends State, IS extends S> IS create(
	StateDescriptor<S, SV> stateDesc,
	StateTable<K, N, SV> stateTable,
	TypeSerializer<K> keySerializer) {
	return (IS) new HeapAggregatingState<>(
		stateTable,
		keySerializer,
		stateTable.getStateSerializer(),
		stateTable.getNamespaceSerializer(),
		stateDesc.getDefaultValue(),
		((AggregatingStateDescriptor<T, SV, ?>) stateDesc).getAggregateFunction());
}
Example #9
Source File: RocksDBAggregatingState.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
static <K, N, SV, S extends State, IS extends S> IS create(
	StateDescriptor<S, SV> stateDesc,
	Tuple2<ColumnFamilyHandle, RegisteredKeyValueStateBackendMetaInfo<N, SV>> registerResult,
	RocksDBKeyedStateBackend<K> backend) {
	return (IS) new RocksDBAggregatingState<>(
		registerResult.f0,
		registerResult.f1.getNamespaceSerializer(),
		registerResult.f1.getStateSerializer(),
		stateDesc.getDefaultValue(),
		((AggregatingStateDescriptor<?, SV, ?>) stateDesc).getAggregateFunction(),
		backend);
}
Example #10
Source File: SavepointRuntimeContext.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Override
public <IN, ACC, OUT> AggregatingState<IN, OUT> getAggregatingState(AggregatingStateDescriptor<IN, ACC, OUT> stateProperties) {
	if (!stateRegistrationAllowed) {
		throw new RuntimeException(REGISTRATION_EXCEPTION_MSG);
	}

	registeredDescriptors.add(stateProperties);
	return keyedStateStore.getAggregatingState(stateProperties);
}
Example #11
Source File: SavepointRuntimeContext.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Override
public <IN, ACC, OUT> AggregatingState<IN, OUT> getAggregatingState(AggregatingStateDescriptor<IN, ACC, OUT> stateProperties) {
	if (!stateRegistrationAllowed) {
		throw new RuntimeException(REGISTRATION_EXCEPTION_MSG);
	}

	registeredDescriptors.add(stateProperties);
	return keyedStateStore.getAggregatingState(stateProperties);
}
Example #12
Source File: RocksDBAggregatingState.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
static <K, N, SV, S extends State, IS extends S> IS create(
	StateDescriptor<S, SV> stateDesc,
	Tuple2<ColumnFamilyHandle, RegisteredKeyValueStateBackendMetaInfo<N, SV>> registerResult,
	RocksDBKeyedStateBackend<K> backend) {
	return (IS) new RocksDBAggregatingState<>(
		registerResult.f0,
		registerResult.f1.getNamespaceSerializer(),
		registerResult.f1.getStateSerializer(),
		stateDesc.getDefaultValue(),
		((AggregatingStateDescriptor<?, SV, ?>) stateDesc).getAggregateFunction(),
		backend);
}
Example #13
Source File: HeapAggregatingState.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
static <T, K, N, SV, S extends State, IS extends S> IS create(
	StateDescriptor<S, SV> stateDesc,
	StateTable<K, N, SV> stateTable,
	TypeSerializer<K> keySerializer) {
	return (IS) new HeapAggregatingState<>(
		stateTable,
		keySerializer,
		stateTable.getStateSerializer(),
		stateTable.getNamespaceSerializer(),
		stateDesc.getDefaultValue(),
		((AggregatingStateDescriptor<T, SV, ?>) stateDesc).getAggregateFunction());
}
Example #14
Source File: DefaultKeyedStateStore.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Override
public <IN, ACC, OUT> AggregatingState<IN, OUT> getAggregatingState(AggregatingStateDescriptor<IN, ACC, OUT> stateProperties) {
	requireNonNull(stateProperties, "The state properties must not be null");
	try {
		stateProperties.initializeSerializerUnlessSet(executionConfig);
		return getPartitionedState(stateProperties);
	} catch (Exception e) {
		throw new RuntimeException("Error while getting state", e);
	}
}
Example #15
Source File: TtlStateFactory.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("deprecation")
private Map<Class<? extends StateDescriptor>, SupplierWithException<IS, Exception>> createStateFactories() {
	return Stream.of(
		Tuple2.of(ValueStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createValueState),
		Tuple2.of(ListStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createListState),
		Tuple2.of(MapStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createMapState),
		Tuple2.of(ReducingStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createReducingState),
		Tuple2.of(AggregatingStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createAggregatingState),
		Tuple2.of(FoldingStateDescriptor.class, (SupplierWithException<IS, Exception>) this::createFoldingState)
	).collect(Collectors.toMap(t -> t.f0, t -> t.f1));
}
Example #16
Source File: TtlStateFactory.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
private <IN, OUT> IS createAggregatingState() throws Exception {
	AggregatingStateDescriptor<IN, SV, OUT> aggregatingStateDescriptor =
		(AggregatingStateDescriptor<IN, SV, OUT>) stateDesc;
	TtlAggregateFunction<IN, SV, OUT> ttlAggregateFunction = new TtlAggregateFunction<>(
		aggregatingStateDescriptor.getAggregateFunction(), ttlConfig, timeProvider);
	AggregatingStateDescriptor<IN, TtlValue<SV>, OUT> ttlDescriptor = new AggregatingStateDescriptor<>(
		stateDesc.getName(), ttlAggregateFunction, new TtlSerializer<>(LongSerializer.INSTANCE, stateDesc.getSerializer()));
	return (IS) new TtlAggregatingState<>(createTtlStateContext(ttlDescriptor), ttlAggregateFunction);
}
Example #17
Source File: ImmutableAggregatingState.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static <OUT, ACC, S extends State> S createState(
	StateDescriptor<S, ACC> stateDescriptor,
	byte[] serializedState) throws IOException {
	final ACC accumulator = KvStateSerializer.deserializeValue(
		serializedState,
		stateDescriptor.getSerializer());
	final OUT state = ((AggregatingStateDescriptor<?, ACC, OUT>) stateDescriptor).
		getAggregateFunction().getResult(accumulator);
	return (S) new ImmutableAggregatingState<>(state);
}
Example #18
Source File: ImmutableAggregatingState.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static <OUT, ACC, S extends State> S createState(
	StateDescriptor<S, ACC> stateDescriptor,
	byte[] serializedState) throws IOException {
	final ACC accumulator = KvStateSerializer.deserializeValue(
		serializedState,
		stateDescriptor.getSerializer());
	final OUT state = ((AggregatingStateDescriptor<?, ACC, OUT>) stateDescriptor).
		getAggregateFunction().getResult(accumulator);
	return (S) new ImmutableAggregatingState<>(state);
}
Example #19
Source File: ImmutableAggregatingState.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static <OUT, ACC, S extends State> S createState(
	StateDescriptor<S, ACC> stateDescriptor,
	byte[] serializedState) throws IOException {
	final ACC accumulator = KvStateSerializer.deserializeValue(
		serializedState,
		stateDescriptor.getSerializer());
	final OUT state = ((AggregatingStateDescriptor<?, ACC, OUT>) stateDescriptor).
		getAggregateFunction().getResult(accumulator);
	return (S) new ImmutableAggregatingState<>(state);
}
Example #20
Source File: WindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateWithWindowFunctionEventTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);

	DataStream<Tuple3<String, String, Integer>> source = env.fromElements(
		Tuple3.of("hello", "hallo", 1),
		Tuple3.of("hello", "hallo", 2));

	DummyReducer reducer = new DummyReducer();

	DataStream<String> window = source
			.keyBy(new Tuple3KeySelector())
			.window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
			.aggregate(new DummyAggregationFunction(), new TestWindowFunction());

	final OneInputTransformation<Tuple3<String, String, Integer>, String> transform =
		(OneInputTransformation<Tuple3<String, String, Integer>, String>) window.getTransformation();

	final OneInputStreamOperator<Tuple3<String, String, Integer>, String> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator =
		(WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}
Example #21
Source File: WindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateEventTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);

	DataStream<Tuple3<String, String, Integer>> source = env.fromElements(
		Tuple3.of("hello", "hallo", 1),
		Tuple3.of("hello", "hallo", 2));

	DataStream<Integer> window1 = source
			.keyBy(new Tuple3KeySelector())
			.window(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
			.aggregate(new DummyAggregationFunction());

	final OneInputTransformation<Tuple3<String, String, Integer>, Integer> transform =
		(OneInputTransformation<Tuple3<String, String, Integer>, Integer>) window1.getTransformation();

	final OneInputStreamOperator<Tuple3<String, String, Integer>, Integer> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator =
			(WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}
Example #22
Source File: WindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateProcessingTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);

	DataStream<Tuple3<String, String, Integer>> source = env.fromElements(
		Tuple3.of("hello", "hallo", 1),
		Tuple3.of("hello", "hallo", 2));

	DataStream<Integer> window1 = source
			.keyBy(new Tuple3KeySelector())
			.window(SlidingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
			.aggregate(new DummyAggregationFunction());

	final OneInputTransformation<Tuple3<String, String, Integer>, Integer> transform =
		(OneInputTransformation<Tuple3<String, String, Integer>, Integer>) window1.getTransformation();

	final OneInputStreamOperator<Tuple3<String, String, Integer>, Integer> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator =
			(WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof ProcessingTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingProcessingTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}
Example #23
Source File: WindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateWithWindowFunctionEventTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);

	DataStream<Tuple3<String, String, Integer>> source = env.fromElements(
		Tuple3.of("hello", "hallo", 1),
		Tuple3.of("hello", "hallo", 2));

	DummyReducer reducer = new DummyReducer();

	DataStream<String> window = source
			.keyBy(new Tuple3KeySelector())
			.window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
			.aggregate(new DummyAggregationFunction(), new TestWindowFunction());

	final OneInputTransformation<Tuple3<String, String, Integer>, String> transform =
		(OneInputTransformation<Tuple3<String, String, Integer>, String>) window.getTransformation();

	final OneInputStreamOperator<Tuple3<String, String, Integer>, String> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator =
		(WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}
Example #24
Source File: WindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateEventTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);

	DataStream<Tuple3<String, String, Integer>> source = env.fromElements(
		Tuple3.of("hello", "hallo", 1),
		Tuple3.of("hello", "hallo", 2));

	DataStream<Integer> window1 = source
			.keyBy(new Tuple3KeySelector())
			.window(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
			.aggregate(new DummyAggregationFunction());

	final OneInputTransformation<Tuple3<String, String, Integer>, Integer> transform =
		(OneInputTransformation<Tuple3<String, String, Integer>, Integer>) window1.getTransformation();

	final OneInputStreamOperator<Tuple3<String, String, Integer>, Integer> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator =
			(WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}
Example #25
Source File: WindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateWithProcessWindowFunctionProcessingTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);

	DataStream<Tuple3<String, String, Integer>> source = env.fromElements(
		Tuple3.of("hello", "hallo", 1),
		Tuple3.of("hello", "hallo", 2));

	DataStream<String> window = source
			.keyBy(new Tuple3KeySelector())
			.window(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
			.aggregate(new DummyAggregationFunction(), new TestProcessWindowFunction());

	final OneInputTransformation<Tuple3<String, String, Integer>, String> transform =
		(OneInputTransformation<Tuple3<String, String, Integer>, String>) window.getTransformation();

	final OneInputStreamOperator<Tuple3<String, String, Integer>, String> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator =
		(WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof ProcessingTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}
Example #26
Source File: WindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateWithProcessWindowFunctionProcessingTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);

	DataStream<Tuple3<String, String, Integer>> source = env.fromElements(
		Tuple3.of("hello", "hallo", 1),
		Tuple3.of("hello", "hallo", 2));

	DataStream<String> window = source
			.keyBy(new Tuple3KeySelector())
			.window(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
			.aggregate(new DummyAggregationFunction(), new TestProcessWindowFunction());

	final OneInputTransformation<Tuple3<String, String, Integer>, String> transform =
		(OneInputTransformation<Tuple3<String, String, Integer>, String>) window.getTransformation();

	final OneInputStreamOperator<Tuple3<String, String, Integer>, String> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator =
		(WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof ProcessingTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}
Example #27
Source File: WindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateWithWindowFunctionProcessingTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);

	DataStream<Tuple3<String, String, Integer>> source = env.fromElements(
		Tuple3.of("hello", "hallo", 1),
		Tuple3.of("hello", "hallo", 2));

	DataStream<String> window = source
			.keyBy(new Tuple3KeySelector())
			.window(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
			.aggregate(new DummyAggregationFunction(), new TestWindowFunction());

	final OneInputTransformation<Tuple3<String, String, Integer>, String> transform =
		(OneInputTransformation<Tuple3<String, String, Integer>, String>) window.getTransformation();

	final OneInputStreamOperator<Tuple3<String, String, Integer>, String> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?> winOperator =
		(WindowOperator<String, Tuple3<String, String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof ProcessingTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1));
}
Example #28
Source File: AllWindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateProcessingTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);

	DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));

	DataStream<Tuple2<String, Integer>> window1 = source
			.windowAll(SlidingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
			.aggregate(new DummyAggregationFunction());

	OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform =
			(OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window1.getTransformation();

	OneInputStreamOperator<Tuple2<String, Integer>, Tuple2<String, Integer>> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?> winOperator =
			(WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof ProcessingTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingProcessingTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #29
Source File: AllWindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateWithWindowFunctionEventTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);

	DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));

	DataStream<Tuple3<String, String, Integer>> window = source
			.windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
			.aggregate(new DummyAggregationFunction(), new TestAllWindowFunction());

	OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>> transform =
			(OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>>) window.getTransformation();

	OneInputStreamOperator<Tuple2<String, Integer>, Tuple3<String, String, Integer>> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?> winOperator =
			(WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof EventTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #30
Source File: AllWindowTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testAggregateWithWindowFunctionProcessingTime() throws Exception {
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime);

	DataStream<Tuple2<String, Integer>> source = env.fromElements(Tuple2.of("hello", 1), Tuple2.of("hello", 2));

	DataStream<Tuple3<String, String, Integer>> window = source
			.windowAll(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
			.aggregate(new DummyAggregationFunction(), new TestAllWindowFunction());

	OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>> transform =
			(OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>>) window.getTransformation();

	OneInputStreamOperator<Tuple2<String, Integer>, Tuple3<String, String, Integer>> operator = transform.getOperator();

	Assert.assertTrue(operator instanceof WindowOperator);
	WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?> winOperator =
			(WindowOperator<String, Tuple2<String, Integer>, ?, ?, ?>) operator;

	Assert.assertTrue(winOperator.getTrigger() instanceof ProcessingTimeTrigger);
	Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows);
	Assert.assertTrue(winOperator.getStateDescriptor() instanceof AggregatingStateDescriptor);

	processElementAndEnsureOutput(
			operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}