Java Code Examples for org.apache.flink.streaming.api.transformations.OneInputTransformation#getOperator()
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org.apache.flink.streaming.api.transformations.OneInputTransformation#getOperator() .
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Example 1
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 2
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 3
Source File: AllWindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
@Test @SuppressWarnings("rawtypes") public void testFoldProcessingTime() 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(SlidingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS), Time.of(100, TimeUnit.MILLISECONDS))) .fold(new Tuple3<>("", "", 0), new DummyFolder()); 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 SlidingProcessingTimeWindows); Assert.assertTrue(winOperator.getStateDescriptor() instanceof FoldingStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 4
Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 6 votes |
@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)); }
Example 5
Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 6 votes |
@Test @SuppressWarnings("rawtypes") public void testMergingWindowsWithEvictor() 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(EventTimeSessionWindows.withGap(Time.seconds(5))) .evictor(CountEvictor.of(5)) .process(new TestProcessAllWindowFunction()); 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 EventTimeSessionWindows); Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 6
Source File: AllWindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Test @SuppressWarnings("rawtypes") public void testApplyWithCustomTrigger() 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(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))) .trigger(CountTrigger.of(1)) .apply(new AllWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void apply( TimeWindow window, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception { for (Tuple2<String, Integer> in : values) { out.collect(in); } } }); 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 TumblingEventTimeWindows); Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 7
Source File: WindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Test @SuppressWarnings("rawtypes") public void testProcessProcessingTime() 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(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))) .process(new ProcessWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, String, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void process(String key, Context ctx, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception { for (Tuple2<String, Integer> in : values) { out.collect(in); } } }); 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 TumblingProcessingTimeWindows); Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor); 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 | 5 votes |
@Test @SuppressWarnings("rawtypes") public void testApplyWithCustomTrigger() 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(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))) .trigger(CountTrigger.of(1)) .apply(new AllWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void apply( TimeWindow window, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception { for (Tuple2<String, Integer> in : values) { out.collect(in); } } }); 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 TumblingEventTimeWindows); Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 9
Source File: WindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Test public void testAggregateWithEvictor() 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))) .evictor(CountEvictor.of(100)) .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 ListStateDescriptor); processElementAndEnsureOutput( winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple3<>("hello", "hallo", 1)); }
Example 10
Source File: WindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
@Test @SuppressWarnings("rawtypes") public void testProcessEventTime() 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(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))) .process(new ProcessWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, String, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void process(String key, Context ctx, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception { for (Tuple2<String, Integer> in : values) { out.collect(in); } } }); 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 TumblingEventTimeWindows); Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 11
Source File: TimeWindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
/** * Verifies that calls to timeWindow() instantiate a regular * windowOperator instead of an aligned one. */ @Test public void testAlignedWindowDeprecation() 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 .keyBy(0) .timeWindow(Time.of(1000, TimeUnit.MILLISECONDS), Time.of(100, TimeUnit.MILLISECONDS)) .reduce(reducer); 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); DataStream<Tuple2<String, Integer>> window2 = source .keyBy(0) .timeWindow(Time.of(1000, TimeUnit.MILLISECONDS)) .apply(new WindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void apply(Tuple tuple, TimeWindow window, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception { } }); OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>> transform2 = (OneInputTransformation<Tuple2<String, Integer>, Tuple2<String, Integer>>) window2.getTransformation(); OneInputStreamOperator<Tuple2<String, Integer>, Tuple2<String, Integer>> operator2 = transform2.getOperator(); Assert.assertTrue(operator2 instanceof WindowOperator); }
Example 12
Source File: WindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
@Test @SuppressWarnings("rawtypes") public void testFoldWithProcessWindowFunctionProcessingTime() 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>> window = source .keyBy(new TupleKeySelector()) .window(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))) .fold(new Tuple3<>("", "empty", 0), new DummyFolder(), new ProcessWindowFunction<Tuple3<String, String, Integer>, Tuple2<String, Integer>, String, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void process(String key, Context ctx, 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 ProcessingTimeTrigger); Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows); Assert.assertTrue(winOperator.getStateDescriptor() instanceof FoldingStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 13
Source File: StateDescriptorPassingTest.java From flink with Apache License 2.0 | 5 votes |
private void validateStateDescriptorConfigured(SingleOutputStreamOperator<?> result) { OneInputTransformation<?, ?> transform = (OneInputTransformation<?, ?>) result.getTransformation(); WindowOperator<?, ?, ?, ?, ?> op = (WindowOperator<?, ?, ?, ?, ?>) transform.getOperator(); StateDescriptor<?, ?> descr = op.getStateDescriptor(); // this would be the first statement to fail if state descriptors were not properly initialized TypeSerializer<?> serializer = descr.getSerializer(); assertTrue(serializer instanceof KryoSerializer); Kryo kryo = ((KryoSerializer<?>) serializer).getKryo(); assertTrue("serializer registration was not properly passed on", kryo.getSerializer(File.class) instanceof JavaSerializer); }
Example 14
Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
@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 15
Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
@Test @SuppressWarnings("rawtypes") public void testApplyWithEvictor() 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 .windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))) .trigger(CountTrigger.of(1)) .evictor(TimeEvictor.of(Time.of(100, TimeUnit.MILLISECONDS))) .apply(new AllWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void apply( TimeWindow window, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception { for (Tuple2<String, Integer> in : values) { out.collect(in); } } }); 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 EvictingWindowOperator); EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?> winOperator = (EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?>) operator; Assert.assertTrue(winOperator.getTrigger() instanceof CountTrigger); Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows); Assert.assertTrue(winOperator.getEvictor() instanceof TimeEvictor); Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 16
Source File: CoGroupJoinITCase.java From flink with Apache License 2.0 | 5 votes |
/** * Verifies that pipelines including {@link CoGroupedStreams} can be checkpointed properly, * which includes snapshotting configurations of any involved serializers. * * @see <a href="https://issues.apache.org/jira/browse/FLINK-6808">FLINK-6808</a> */ @Test public void testCoGroupOperatorWithCheckpoint() throws Exception { // generate an operator for the co-group operation StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime); env.setParallelism(1); DataStream<Tuple2<String, Integer>> source1 = env.fromElements(Tuple2.of("a", 0), Tuple2.of("b", 3)); DataStream<Tuple2<String, Integer>> source2 = env.fromElements(Tuple2.of("a", 1), Tuple2.of("b", 6)); DataStream<String> coGroupWindow = source1.coGroup(source2) .where(new Tuple2KeyExtractor()) .equalTo(new Tuple2KeyExtractor()) .window(TumblingEventTimeWindows.of(Time.of(3, TimeUnit.MILLISECONDS))) .apply(new CoGroupFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, String>() { @Override public void coGroup(Iterable<Tuple2<String, Integer>> first, Iterable<Tuple2<String, Integer>> second, Collector<String> out) throws Exception { out.collect(first + ":" + second); } }); OneInputTransformation<Tuple2<String, Integer>, String> transform = (OneInputTransformation<Tuple2<String, Integer>, String>) coGroupWindow.getTransformation(); OneInputStreamOperator<Tuple2<String, Integer>, String> operator = transform.getOperator(); // wrap the operator in the test harness, and perform a snapshot OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, String> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, new Tuple2KeyExtractor(), BasicTypeInfo.STRING_TYPE_INFO); testHarness.open(); testHarness.snapshot(0L, 0L); }
Example 17
Source File: AllWindowTranslationTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Test @SuppressWarnings("rawtypes") public void testApplyWithEvictor() 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 .windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))) .trigger(CountTrigger.of(1)) .evictor(TimeEvictor.of(Time.of(100, TimeUnit.MILLISECONDS))) .apply(new AllWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void apply( TimeWindow window, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception { for (Tuple2<String, Integer> in : values) { out.collect(in); } } }); 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 EvictingWindowOperator); EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?> winOperator = (EvictingWindowOperator<String, Tuple2<String, Integer>, ?, ?>) operator; Assert.assertTrue(winOperator.getTrigger() instanceof CountTrigger); Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingEventTimeWindows); Assert.assertTrue(winOperator.getEvictor() instanceof TimeEvictor); Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 18
Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
@Test @SuppressWarnings("rawtypes") public void testProcessWithCustomTrigger() 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 .windowAll(TumblingEventTimeWindows.of(Time.of(1, TimeUnit.SECONDS))) .trigger(CountTrigger.of(1)) .process(new ProcessAllWindowFunction<Tuple2<String, Integer>, Tuple2<String, Integer>, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void process( Context ctx, Iterable<Tuple2<String, Integer>> values, Collector<Tuple2<String, Integer>> out) throws Exception { for (Tuple2<String, Integer> in : values) { out.collect(in); } } }); 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 TumblingEventTimeWindows); Assert.assertTrue(winOperator.getStateDescriptor() instanceof ListStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 19
Source File: AllWindowTranslationTest.java From flink with Apache License 2.0 | 5 votes |
@Test @SuppressWarnings("rawtypes") public void testFoldWithProcessAllWindowFunctionProcessingTime() 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>> window = source .windowAll(TumblingProcessingTimeWindows.of(Time.of(1, TimeUnit.SECONDS))) .fold(new Tuple3<>("", "empty", 0), new DummyFolder(), new ProcessAllWindowFunction<Tuple3<String, String, Integer>, Tuple2<String, Integer>, TimeWindow>() { private static final long serialVersionUID = 1L; @Override public void process( Context ctx, 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 ProcessingTimeTrigger); Assert.assertTrue(winOperator.getWindowAssigner() instanceof TumblingProcessingTimeWindows); Assert.assertTrue(winOperator.getStateDescriptor() instanceof FoldingStateDescriptor); processElementAndEnsureOutput(winOperator, winOperator.getKeySelector(), BasicTypeInfo.STRING_TYPE_INFO, new Tuple2<>("hello", 1)); }
Example 20
Source File: StateDescriptorPassingTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
private void validateStateDescriptorConfigured(SingleOutputStreamOperator<?> result) { OneInputTransformation<?, ?> transform = (OneInputTransformation<?, ?>) result.getTransformation(); WindowOperator<?, ?, ?, ?, ?> op = (WindowOperator<?, ?, ?, ?, ?>) transform.getOperator(); StateDescriptor<?, ?> descr = op.getStateDescriptor(); // this would be the first statement to fail if state descriptors were not properly initialized TypeSerializer<?> serializer = descr.getSerializer(); assertTrue(serializer instanceof KryoSerializer); Kryo kryo = ((KryoSerializer<?>) serializer).getKryo(); assertTrue("serializer registration was not properly passed on", kryo.getSerializer(File.class) instanceof JavaSerializer); }