use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.
the class AllWindowTranslationTest method testFoldEventTime.
// ------------------------------------------------------------------------
// fold() translation tests
// ------------------------------------------------------------------------
@Test
@SuppressWarnings("rawtypes")
public void testFoldEventTime() 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>> window1 = source.windowAll(SlidingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))).fold(new Tuple3<>("", "", 1), new DummyFolder());
OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>> transform = (OneInputTransformation<Tuple2<String, Integer>, Tuple3<String, String, Integer>>) window1.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 SlidingEventTimeWindows);
Assert.assertTrue(winOperator.getStateDescriptor() instanceof FoldingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.
the class AllWindowTranslationTest method testFoldWithWindowFunctionEventTime.
@Test
@SuppressWarnings("rawtypes")
public void testFoldWithWindowFunctionEventTime() 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>> window = source.windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).fold(new Tuple3<>("", "", 0), new DummyFolder(), new AllWindowFunction<Tuple3<String, String, Integer>, Tuple2<String, Integer>, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void apply(TimeWindow window, Iterable<Tuple3<String, String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception {
for (Tuple3<String, String, Integer> in : values) {
out.collect(new Tuple2<>(in.f0, in.f2));
}
}
});
OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform = (OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window.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 TumblingEventTimeWindows);
Assert.assertTrue(winOperator.getStateDescriptor() instanceof FoldingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.
the class StateBackendTestBase method testFoldingStateDefaultValue.
/**
* Verify that an empty {@code FoldingState} yields {@code null}.
*/
@Test
public void testFoldingStateDefaultValue() throws Exception {
AbstractKeyedStateBackend<Integer> backend = createKeyedBackend(IntSerializer.INSTANCE);
FoldingStateDescriptor<Integer, String> kvId = new FoldingStateDescriptor<>("id", "Fold-Initial:", new AppendingFold(), String.class);
kvId.initializeSerializerUnlessSet(new ExecutionConfig());
FoldingState<Integer, String> state = backend.getPartitionedState(VoidNamespace.INSTANCE, VoidNamespaceSerializer.INSTANCE, kvId);
backend.setCurrentKey(1);
assertNull(state.get());
state.add(1);
state.add(2);
assertEquals("Fold-Initial:,1,2", state.get());
state.clear();
assertNull(state.get());
backend.dispose();
}
use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.
the class WindowTranslationTest method testApplyWithPreFolderEventTime.
@Test
@SuppressWarnings("rawtypes")
public void testApplyWithPreFolderEventTime() 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.keyBy(new TupleKeySelector()).window(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))).apply(new Tuple3<>("", "", 0), new DummyFolder(), new WindowFunction<Tuple3<String, String, Integer>, Tuple3<String, String, Integer>, String, TimeWindow>() {
private static final long serialVersionUID = 1L;
@Override
public void apply(String key, TimeWindow window, Iterable<Tuple3<String, String, Integer>> values, Collector<Tuple3<String, String, Integer>> out) throws Exception {
for (Tuple3<String, String, Integer> in : values) {
out.collect(new Tuple3<>(in.f0, in.f1, in.f2));
}
}
});
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 FoldingStateDescriptor);
processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1));
}
use of org.apache.flink.api.common.state.FoldingStateDescriptor in project flink by apache.
the class WindowOperatorTest method testCleanupTimerWithEmptyFoldingStateForTumblingWindows.
@Test
public void testCleanupTimerWithEmptyFoldingStateForTumblingWindows() throws Exception {
final int WINDOW_SIZE = 2;
final long LATENESS = 1;
TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");
FoldingStateDescriptor<Tuple2<String, Integer>, Tuple2<String, Integer>> windowStateDesc = new FoldingStateDescriptor<>("window-contents", new Tuple2<>((String) null, 0), new FoldFunction<Tuple2<String, Integer>, Tuple2<String, Integer>>() {
private static final long serialVersionUID = 1L;
@Override
public Tuple2<String, Integer> fold(Tuple2<String, Integer> accumulator, Tuple2<String, Integer> value) throws Exception {
return new Tuple2<>(value.f0, accumulator.f1 + value.f1);
}
}, inputType);
windowStateDesc.initializeSerializerUnlessSet(new ExecutionConfig());
WindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow> operator = new WindowOperator<>(TumblingEventTimeWindows.of(Time.of(WINDOW_SIZE, TimeUnit.SECONDS)), new TimeWindow.Serializer(), new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()), windowStateDesc, new InternalSingleValueWindowFunction<>(new PassThroughFunction()), EventTimeTrigger.create(), LATENESS, null);
OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);
testHarness.open();
ConcurrentLinkedQueue<Object> expected = new ConcurrentLinkedQueue<>();
// normal element
testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), 1000));
testHarness.processWatermark(new Watermark(1599));
testHarness.processWatermark(new Watermark(1999));
testHarness.processWatermark(new Watermark(2000));
testHarness.processWatermark(new Watermark(5000));
expected.add(new Watermark(1599));
expected.add(new StreamRecord<>(new Tuple2<>("key2", 1), 1999));
// here it fires and purges
expected.add(new Watermark(1999));
// here is the cleanup timer
expected.add(new Watermark(2000));
expected.add(new Watermark(5000));
TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expected, testHarness.getOutput(), new Tuple2ResultSortComparator());
testHarness.close();
}
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