org.apache.flink.api.common.state.ReducingStateDescriptor Java Examples
The following examples show how to use
org.apache.flink.api.common.state.ReducingStateDescriptor.
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Example #1
| Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 6 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceProcessingTime() 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)))
.reduce(new DummyReducer());
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 ReducingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #2
| Source File: StateBackendTestBase.java From flink with Apache License 2.0 | 6 votes |
|
/**
* Verify that an empty {@code ReduceState} yields {@code null}.
*/
@Test
public void testReducingStateDefaultValue() throws Exception {
AbstractKeyedStateBackend<Integer> backend = createKeyedBackend(IntSerializer.INSTANCE);
ReducingStateDescriptor<String> kvId = new ReducingStateDescriptor<>("id", new AppendingReduce(), String.class);
ReducingState<String> state = backend.getPartitionedState(
VoidNamespace.INSTANCE,
VoidNamespaceSerializer.INSTANCE, kvId);
backend.setCurrentKey(1);
assertNull(state.get());
state.add("Ciao");
assertEquals("Ciao", state.get());
state.clear();
assertNull(state.get());
backend.dispose();
}
Example #3
| Source File: WindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceEventTime() 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<Tuple2<String, Integer>> window1 = source
.keyBy(new TupleKeySelector())
.window(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
.reduce(new DummyReducer());
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 EventTimeTrigger);
Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
Assert.assertTrue(winOperator.getStateDescriptor() instanceof ReducingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #4
| Source File: WindowTranslationTest.java From flink with Apache License 2.0 | 6 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithCustomTrigger() 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));
DummyReducer reducer = new DummyReducer();
DataStream<Tuple2<String, Integer>> window1 = source
.keyBy(0)
.window(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
.trigger(CountTrigger.of(1))
.reduce(reducer);
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 CountTrigger);
Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
Assert.assertTrue(winOperator.getStateDescriptor() instanceof ReducingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #5
| Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 6 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithCustomTrigger() 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));
DummyReducer reducer = new DummyReducer();
DataStream<Tuple2<String, Integer>> window1 = source
.windowAll(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
.trigger(CountTrigger.of(1))
.reduce(reducer);
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 CountTrigger);
Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
Assert.assertTrue(winOperator.getStateDescriptor() instanceof ReducingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #6
| Source File: WindowTranslationTest.java From flink with Apache License 2.0 | 6 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceProcessingTime() 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
.keyBy(new TupleKeySelector())
.window(SlidingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
.reduce(new DummyReducer());
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 ReducingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #7
| Source File: AllWindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithCustomTrigger() 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));
DummyReducer reducer = new DummyReducer();
DataStream<Tuple2<String, Integer>> window1 = source
.windowAll(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
.trigger(CountTrigger.of(1))
.reduce(reducer);
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 CountTrigger);
Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
Assert.assertTrue(winOperator.getStateDescriptor() instanceof ReducingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #8
| Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 6 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithCustomTrigger() 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));
DummyReducer reducer = new DummyReducer();
DataStream<Tuple2<String, Integer>> window1 = source
.windowAll(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS)))
.trigger(CountTrigger.of(1))
.reduce(reducer);
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 CountTrigger);
Assert.assertTrue(winOperator.getWindowAssigner() instanceof SlidingEventTimeWindows);
Assert.assertTrue(winOperator.getStateDescriptor() instanceof ReducingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #9
| Source File: TimeWindowTranslationTest.java From flink with Apache License 2.0 | 6 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceEventTimeWindows() 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<Tuple2<String, Integer>> window1 = source
.keyBy(0)
.timeWindow(Time.of(1000, TimeUnit.MILLISECONDS), Time.of(100, TimeUnit.MILLISECONDS))
.reduce(new DummyReducer());
OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform1 = (OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window1.getTransformation();
OneInputStreamOperator<Tuple2<String, Integer>, Tuple2<String, Integer>> operator1 = transform1.getOperator();
Assert.assertTrue(operator1 instanceof WindowOperator);
WindowOperator winOperator1 = (WindowOperator) operator1;
Assert.assertTrue(winOperator1.getTrigger() instanceof EventTimeTrigger);
Assert.assertTrue(winOperator1.getWindowAssigner() instanceof SlidingEventTimeWindows);
Assert.assertTrue(winOperator1.getStateDescriptor() instanceof ReducingStateDescriptor);
}
Example #10
| Source File: WindowOperatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
|
@Test
@SuppressWarnings("unchecked")
public void testSlidingEventTimeWindowsReduce() throws Exception {
closeCalled.set(0);
final int windowSize = 3;
final int windowSlide = 1;
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>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(
SlidingEventTimeWindows.of(Time.of(windowSize, TimeUnit.SECONDS), Time.of(windowSlide, TimeUnit.SECONDS)),
new TimeWindow.Serializer(),
new TupleKeySelector(),
BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
stateDesc,
new InternalSingleValueWindowFunction<>(new PassThroughWindowFunction<String, TimeWindow, Tuple2<String, Integer>>()),
EventTimeTrigger.create(),
0,
null /* late data output tag */);
testSlidingEventTimeWindows(operator);
}
Example #11
| Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithProcessWindowFunctionProcessingTime() 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)))
.reduce(new DummyReducer(), new ProcessAllWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(
Context ctx,
Iterable<Tuple2<String, Integer>> values,
Collector<Tuple3<String, String, Integer>> out) throws Exception {
for (Tuple2<String, Integer> in : values) {
out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
}
}
});
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 ReducingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #12
| Source File: WindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithProcesWindowFunctionEventTime() 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));
DummyReducer reducer = new DummyReducer();
DataStream<Tuple3<String, String, Integer>> window = source
.keyBy(new TupleKeySelector())
.window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
.reduce(reducer, new ProcessWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, String, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(String key,
Context ctx,
Iterable<Tuple2<String, Integer>> values,
Collector<Tuple3<String, String, Integer>> out) throws Exception {
for (Tuple2<String, Integer> in : values) {
out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
}
}
});
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 ReducingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #13
| Source File: TtlStateFactory.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@SuppressWarnings("unchecked")
private IS createReducingState() throws Exception {
ReducingStateDescriptor<SV> reducingStateDesc = (ReducingStateDescriptor<SV>) stateDesc;
ReducingStateDescriptor<TtlValue<SV>> ttlDescriptor = new ReducingStateDescriptor<>(
stateDesc.getName(),
new TtlReduceFunction<>(reducingStateDesc.getReduceFunction(), ttlConfig, timeProvider),
new TtlSerializer<>(LongSerializer.INSTANCE, stateDesc.getSerializer()));
return (IS) new TtlReducingState<>(createTtlStateContext(ttlDescriptor));
}
Example #14
| Source File: TtlStateFactory.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@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 #15
| Source File: DefaultKeyedStateStore.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Override
public <T> ReducingState<T> getReducingState(ReducingStateDescriptor<T> 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 #16
| Source File: HeapReducingState.java From flink with Apache License 2.0 | 5 votes |
|
@SuppressWarnings("unchecked")
static <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 HeapReducingState<>(
stateTable,
keySerializer,
stateTable.getStateSerializer(),
stateTable.getNamespaceSerializer(),
stateDesc.getDefaultValue(),
((ReducingStateDescriptor<SV>) stateDesc).getReduceFunction());
}
Example #17
| Source File: RocksDBReducingState.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@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 RocksDBReducingState<>(
registerResult.f0,
registerResult.f1.getNamespaceSerializer(),
registerResult.f1.getStateSerializer(),
stateDesc.getDefaultValue(),
((ReducingStateDescriptor<SV>) stateDesc).getReduceFunction(),
backend);
}
Example #18
| Source File: WindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithProcessWindowFunctionProcessingTime() 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
.keyBy(new TupleKeySelector())
.window(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
.reduce(new DummyReducer(), new ProcessWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, String, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(String tuple,
Context ctx,
Iterable<Tuple2<String, Integer>> values,
Collector<Tuple3<String, String, Integer>> out) throws Exception {
for (Tuple2<String, Integer> in : values) {
out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
}
}
});
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 ReducingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #19
| Source File: WindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithProcesWindowFunctionEventTime() 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));
DummyReducer reducer = new DummyReducer();
DataStream<Tuple3<String, String, Integer>> window = source
.keyBy(new TupleKeySelector())
.window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
.reduce(reducer, new ProcessWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, String, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(String key,
Context ctx,
Iterable<Tuple2<String, Integer>> values,
Collector<Tuple3<String, String, Integer>> out) throws Exception {
for (Tuple2<String, Integer> in : values) {
out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
}
}
});
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 ReducingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #20
| Source File: PojoSerializerUpgradeTest.java From flink with Apache License 2.0 | 5 votes |
|
@SuppressWarnings("unchecked")
@Override
public void initializeState(FunctionInitializationContext context) throws Exception {
pojoClass = getRuntimeContext().getUserCodeClassLoader().loadClass(POJO_NAME);
fieldA = pojoClass.getDeclaredField("a");
fieldA.setAccessible(true);
if (hasBField) {
fieldB = pojoClass.getDeclaredField("b");
fieldB.setAccessible(true);
}
if (keyed) {
keyedValueState = context.getKeyedStateStore().getState(
new ValueStateDescriptor<>("keyedValueState", (Class<Object>) pojoClass));
keyedListState = context.getKeyedStateStore().getListState(
new ListStateDescriptor<>("keyedListState", (Class<Object>) pojoClass));
ReduceFunction<Object> reduceFunction = new FirstValueReducer<>();
keyedReducingState = context.getKeyedStateStore().getReducingState(
new ReducingStateDescriptor<>("keyedReducingState", reduceFunction, (Class<Object>) pojoClass));
} else {
partitionableListState = context.getOperatorStateStore().getListState(
new ListStateDescriptor<>("partitionableListState", (Class<Object>) pojoClass));
unionListState = context.getOperatorStateStore().getUnionListState(
new ListStateDescriptor<>("unionListState", (Class<Object>) pojoClass));
}
}
Example #21
| Source File: CheckpointingCustomKvStateProgram.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Override
public void open(Configuration parameters) throws Exception {
ReducingStateDescriptor<Integer> stateDescriptor =
new ReducingStateDescriptor<>(
"reducing-state",
new ReduceSum(),
CustomIntSerializer.INSTANCE);
this.kvState = getRuntimeContext().getReducingState(stateDescriptor);
}
Example #22
| Source File: CustomKvStateProgram.java From flink with Apache License 2.0 | 5 votes |
|
@Override
public void open(Configuration parameters) throws Exception {
ReducingStateDescriptor<Integer> stateDescriptor =
new ReducingStateDescriptor<>(
"reducing-state",
new ReduceSum(),
Integer.class);
this.kvState = getRuntimeContext().getReducingState(stateDescriptor);
}
Example #23
| Source File: WindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithProcesWindowFunctionEventTime() 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));
DummyReducer reducer = new DummyReducer();
DataStream<Tuple3<String, String, Integer>> window = source
.keyBy(new TupleKeySelector())
.window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
.reduce(reducer, new ProcessWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, String, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(String key,
Context ctx,
Iterable<Tuple2<String, Integer>> values,
Collector<Tuple3<String, String, Integer>> out) throws Exception {
for (Tuple2<String, Integer> in : values) {
out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
}
}
});
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 ReducingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #24
| Source File: StreamingRuntimeContextTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testReducingStateInstantiation() throws Exception {
final ExecutionConfig config = new ExecutionConfig();
config.registerKryoType(Path.class);
final AtomicReference<Object> descriptorCapture = new AtomicReference<>();
StreamingRuntimeContext context = new StreamingRuntimeContext(
createDescriptorCapturingMockOp(descriptorCapture, config),
createMockEnvironment(),
Collections.<String, Accumulator<?, ?>>emptyMap());
@SuppressWarnings("unchecked")
ReduceFunction<TaskInfo> reducer = (ReduceFunction<TaskInfo>) mock(ReduceFunction.class);
ReducingStateDescriptor<TaskInfo> descr =
new ReducingStateDescriptor<>("name", reducer, TaskInfo.class);
context.getReducingState(descr);
StateDescriptor<?, ?> descrIntercepted = (StateDescriptor<?, ?>) 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 #25
| Source File: WindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithProcessWindowFunctionProcessingTime() 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
.keyBy(new TupleKeySelector())
.window(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
.reduce(new DummyReducer(), new ProcessWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, String, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(String tuple,
Context ctx,
Iterable<Tuple2<String, Integer>> values,
Collector<Tuple3<String, String, Integer>> out) throws Exception {
for (Tuple2<String, Integer> in : values) {
out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
}
}
});
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 ReducingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #26
| Source File: MockInternalReducingState.java From flink with Apache License 2.0 | 5 votes |
|
@SuppressWarnings({"unchecked", "unused"})
static <N, T, S extends State, IS extends S> IS createState(
TypeSerializer<N> namespaceSerializer,
StateDescriptor<S, T> stateDesc) {
ReducingStateDescriptor<T> reducingStateDesc = (ReducingStateDescriptor<T>) stateDesc;
return (IS) new MockInternalReducingState<>(reducingStateDesc.getReduceFunction());
}
Example #27
| Source File: PojoSerializerUpgradeTest.java From flink with Apache License 2.0 | 5 votes |
|
@SuppressWarnings("unchecked")
@Override
public void initializeState(FunctionInitializationContext context) throws Exception {
pojoClass = getRuntimeContext().getUserCodeClassLoader().loadClass(POJO_NAME);
fieldA = pojoClass.getDeclaredField("a");
fieldA.setAccessible(true);
if (hasBField) {
fieldB = pojoClass.getDeclaredField("b");
fieldB.setAccessible(true);
}
if (keyed) {
keyedValueState = context.getKeyedStateStore().getState(
new ValueStateDescriptor<>("keyedValueState", (Class<Object>) pojoClass));
keyedListState = context.getKeyedStateStore().getListState(
new ListStateDescriptor<>("keyedListState", (Class<Object>) pojoClass));
ReduceFunction<Object> reduceFunction = new FirstValueReducer<>();
keyedReducingState = context.getKeyedStateStore().getReducingState(
new ReducingStateDescriptor<>("keyedReducingState", reduceFunction, (Class<Object>) pojoClass));
} else {
partitionableListState = context.getOperatorStateStore().getListState(
new ListStateDescriptor<>("partitionableListState", (Class<Object>) pojoClass));
unionListState = context.getOperatorStateStore().getUnionListState(
new ListStateDescriptor<>("unionListState", (Class<Object>) pojoClass));
}
}
Example #28
| Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithProcessWindowFunctionEventTime() 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));
DummyReducer reducer = new DummyReducer();
DataStream<Tuple3<String, String, Integer>> window = source
.windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
.reduce(reducer, new ProcessAllWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(
Context ctx,
Iterable<Tuple2<String, Integer>> values,
Collector<Tuple3<String, String, Integer>> out) throws Exception {
for (Tuple2<String, Integer> in : values) {
out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
}
}
});
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 ReducingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
Example #29
| Source File: SavepointRuntimeContext.java From flink with Apache License 2.0 | 5 votes |
|
@Override
public <T> ReducingState<T> getReducingState(ReducingStateDescriptor<T> stateProperties) {
if (!stateRegistrationAllowed) {
throw new RuntimeException(REGISTRATION_EXCEPTION_MSG);
}
registeredDescriptors.add(stateProperties);
return keyedStateStore.getReducingState(stateProperties);
}
Example #30
| Source File: AllWindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Test
@SuppressWarnings("rawtypes")
public void testReduceWithProcessWindowFunctionEventTime() 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));
DummyReducer reducer = new DummyReducer();
DataStream<Tuple3<String, String, Integer>> window = source
.windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS)))
.reduce(reducer, new ProcessAllWindowFunction<Tuple2<String, Integer>, Tuple3<String, String, Integer>, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void process(
Context ctx,
Iterable<Tuple2<String, Integer>> values,
Collector<Tuple3<String, String, Integer>> out) throws Exception {
for (Tuple2<String, Integer> in : values) {
out.collect(new Tuple3<>(in.f0, in.f0, in.f1));
}
}
});
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 ReducingStateDescriptor);
processElementAndEnsureOutput(operator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
