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Example 1 with KeyedCoProcessFunction

use of org.apache.flink.streaming.api.functions.co.KeyedCoProcessFunction in project flink by apache.

the class SortingBoundedInputITCase method testBatchExecutionWithTimersTwoInput.

@Test
public void testBatchExecutionWithTimersTwoInput() {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    // set parallelism to 1 to have consistent order of results
    env.setParallelism(1);
    Configuration config = new Configuration();
    config.set(ExecutionOptions.RUNTIME_MODE, RuntimeExecutionMode.BATCH);
    env.configure(config, this.getClass().getClassLoader());
    WatermarkStrategy<Tuple2<Integer, Integer>> watermarkStrategy = WatermarkStrategy.forGenerator(ctx -> GENERATE_WATERMARK_AFTER_4_14_TIMESTAMP).withTimestampAssigner((r, previousTimestamp) -> r.f1);
    SingleOutputStreamOperator<Integer> elements1 = env.fromElements(Tuple2.of(1, 3), Tuple2.of(1, 1), Tuple2.of(2, 1), Tuple2.of(1, 4), // late element
    Tuple2.of(2, 3), // late element
    Tuple2.of(1, 2), Tuple2.of(1, 13), Tuple2.of(1, 11), Tuple2.of(2, 14), // late element
    Tuple2.of(1, 11)).assignTimestampsAndWatermarks(watermarkStrategy).map(element -> element.f0);
    SingleOutputStreamOperator<Integer> elements2 = env.fromElements(Tuple2.of(1, 3), Tuple2.of(1, 1), Tuple2.of(2, 1), Tuple2.of(1, 4), // late element
    Tuple2.of(2, 3), // late element
    Tuple2.of(1, 2), Tuple2.of(1, 13), Tuple2.of(1, 11), Tuple2.of(2, 14), // late element
    Tuple2.of(1, 11)).assignTimestampsAndWatermarks(watermarkStrategy).map(element -> element.f0);
    OutputTag<Integer> lateElements = new OutputTag<>("late_elements", BasicTypeInfo.INT_TYPE_INFO);
    SingleOutputStreamOperator<Tuple3<Long, Integer, Integer>> sums = elements1.connect(elements2).keyBy(element -> element, element -> element).process(new KeyedCoProcessFunction<Integer, Integer, Integer, Tuple3<Long, Integer, Integer>>() {

        private MapState<Long, Integer> countState;

        private ValueState<Long> previousTimestampState;

        @Override
        public void open(Configuration parameters) {
            countState = getRuntimeContext().getMapState(new MapStateDescriptor<>("sum", BasicTypeInfo.LONG_TYPE_INFO, BasicTypeInfo.INT_TYPE_INFO));
            previousTimestampState = getRuntimeContext().getState(new ValueStateDescriptor<>("previousTimestamp", BasicTypeInfo.LONG_TYPE_INFO));
        }

        @Override
        public void processElement1(Integer value, Context ctx, Collector<Tuple3<Long, Integer, Integer>> out) throws Exception {
            processElement(value, ctx);
        }

        @Override
        public void processElement2(Integer value, Context ctx, Collector<Tuple3<Long, Integer, Integer>> out) throws Exception {
            processElement(value, ctx);
        }

        private void processElement(Integer value, Context ctx) throws Exception {
            Long elementTimestamp = ctx.timestamp();
            long nextTen = ((elementTimestamp + 10) / 10) * 10;
            ctx.timerService().registerEventTimeTimer(nextTen);
            if (elementTimestamp < ctx.timerService().currentWatermark()) {
                ctx.output(lateElements, value);
            } else {
                Long previousTimestamp = Optional.ofNullable(previousTimestampState.value()).orElse(0L);
                assertThat(elementTimestamp, greaterThanOrEqualTo(previousTimestamp));
                previousTimestampState.update(elementTimestamp);
                Integer currentCount = Optional.ofNullable(countState.get(nextTen)).orElse(0);
                countState.put(nextTen, currentCount + 1);
            }
        }

        @Override
        public void onTimer(long timestamp, OnTimerContext ctx, Collector<Tuple3<Long, Integer, Integer>> out) throws Exception {
            out.collect(Tuple3.of(timestamp, ctx.getCurrentKey(), countState.get(timestamp)));
            countState.remove(timestamp);
            // this would go in infinite loop if we did not quiesce the
            // timer service.
            ctx.timerService().registerEventTimeTimer(timestamp + 1);
        }
    });
    DataStream<Integer> lateStream = sums.getSideOutput(lateElements);
    List<Integer> lateRecordsCollected = CollectionUtil.iteratorToList(DataStreamUtils.collect(lateStream));
    List<Tuple3<Long, Integer, Integer>> sumsCollected = CollectionUtil.iteratorToList(DataStreamUtils.collect(sums));
    assertTrue(lateRecordsCollected.isEmpty());
    assertThat(sumsCollected, equalTo(Arrays.asList(Tuple3.of(10L, 1, 8), Tuple3.of(20L, 1, 6), Tuple3.of(10L, 2, 4), Tuple3.of(20L, 2, 2))));
}
Also used : Arrays(java.util.Arrays) Tuple3(org.apache.flink.api.java.tuple.Tuple3) WatermarkGenerator(org.apache.flink.api.common.eventtime.WatermarkGenerator) Tuple2(org.apache.flink.api.java.tuple.Tuple2) TupleTypeInfo(org.apache.flink.api.java.typeutils.TupleTypeInfo) KeyedCoProcessFunction(org.apache.flink.streaming.api.functions.co.KeyedCoProcessFunction) Random(java.util.Random) BasicTypeInfo(org.apache.flink.api.common.typeinfo.BasicTypeInfo) Assert.assertThat(org.junit.Assert.assertThat) SplittableIterator(org.apache.flink.util.SplittableIterator) ChainingStrategy(org.apache.flink.streaming.api.operators.ChainingStrategy) ExecutionOptions(org.apache.flink.configuration.ExecutionOptions) WatermarkStatus(org.apache.flink.streaming.runtime.watermarkstatus.WatermarkStatus) AbstractTestBase(org.apache.flink.test.util.AbstractTestBase) BoundedMultiInput(org.apache.flink.streaming.api.operators.BoundedMultiInput) DataStreamUtils(org.apache.flink.streaming.api.datastream.DataStreamUtils) Set(java.util.Set) WatermarkStrategy(org.apache.flink.api.common.eventtime.WatermarkStrategy) KeyedStream(org.apache.flink.streaming.api.datastream.KeyedStream) OutputTag(org.apache.flink.util.OutputTag) BoundedOneInput(org.apache.flink.streaming.api.operators.BoundedOneInput) PrimitiveArrayTypeInfo(org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo) Objects(java.util.Objects) MultipleInputStreamOperator(org.apache.flink.streaming.api.operators.MultipleInputStreamOperator) List(java.util.List) ValueState(org.apache.flink.api.common.state.ValueState) Watermark(org.apache.flink.api.common.eventtime.Watermark) Optional(java.util.Optional) OneInputStreamOperator(org.apache.flink.streaming.api.operators.OneInputStreamOperator) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) CoreMatchers.equalTo(org.hamcrest.CoreMatchers.equalTo) StreamOperatorFactory(org.apache.flink.streaming.api.operators.StreamOperatorFactory) AbstractStreamOperatorV2(org.apache.flink.streaming.api.operators.AbstractStreamOperatorV2) MapStateDescriptor(org.apache.flink.api.common.state.MapStateDescriptor) DataStreamSource(org.apache.flink.streaming.api.datastream.DataStreamSource) KeyedProcessFunction(org.apache.flink.streaming.api.functions.KeyedProcessFunction) HashSet(java.util.HashSet) StreamRecord(org.apache.flink.streaming.runtime.streamrecord.StreamRecord) Collector(org.apache.flink.util.Collector) TwoInputStreamOperator(org.apache.flink.streaming.api.operators.TwoInputStreamOperator) Matchers.greaterThanOrEqualTo(org.hamcrest.Matchers.greaterThanOrEqualTo) Iterator(java.util.Iterator) ValueStateDescriptor(org.apache.flink.api.common.state.ValueStateDescriptor) Configuration(org.apache.flink.configuration.Configuration) SingleOutputStreamOperator(org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator) KeyedMultipleInputTransformation(org.apache.flink.streaming.api.transformations.KeyedMultipleInputTransformation) Assert.assertTrue(org.junit.Assert.assertTrue) StreamOperatorParameters(org.apache.flink.streaming.api.operators.StreamOperatorParameters) Test(org.junit.Test) CollectionUtil(org.apache.flink.util.CollectionUtil) WatermarkOutput(org.apache.flink.api.common.eventtime.WatermarkOutput) AbstractStreamOperator(org.apache.flink.streaming.api.operators.AbstractStreamOperator) DataStream(org.apache.flink.streaming.api.datastream.DataStream) StreamOperator(org.apache.flink.streaming.api.operators.StreamOperator) Consumer(java.util.function.Consumer) MapState(org.apache.flink.api.common.state.MapState) LatencyMarker(org.apache.flink.streaming.runtime.streamrecord.LatencyMarker) Assert(org.junit.Assert) RuntimeExecutionMode(org.apache.flink.api.common.RuntimeExecutionMode) Input(org.apache.flink.streaming.api.operators.Input) Configuration(org.apache.flink.configuration.Configuration) OutputTag(org.apache.flink.util.OutputTag) Tuple2(org.apache.flink.api.java.tuple.Tuple2) Tuple3(org.apache.flink.api.java.tuple.Tuple3) StreamExecutionEnvironment(org.apache.flink.streaming.api.environment.StreamExecutionEnvironment) Test(org.junit.Test)

Aggregations

Arrays (java.util.Arrays)1 HashSet (java.util.HashSet)1 Iterator (java.util.Iterator)1 List (java.util.List)1 Objects (java.util.Objects)1 Optional (java.util.Optional)1 Random (java.util.Random)1 Set (java.util.Set)1 Consumer (java.util.function.Consumer)1 RuntimeExecutionMode (org.apache.flink.api.common.RuntimeExecutionMode)1 Watermark (org.apache.flink.api.common.eventtime.Watermark)1 WatermarkGenerator (org.apache.flink.api.common.eventtime.WatermarkGenerator)1 WatermarkOutput (org.apache.flink.api.common.eventtime.WatermarkOutput)1 WatermarkStrategy (org.apache.flink.api.common.eventtime.WatermarkStrategy)1 MapState (org.apache.flink.api.common.state.MapState)1 MapStateDescriptor (org.apache.flink.api.common.state.MapStateDescriptor)1 ValueState (org.apache.flink.api.common.state.ValueState)1 ValueStateDescriptor (org.apache.flink.api.common.state.ValueStateDescriptor)1 BasicTypeInfo (org.apache.flink.api.common.typeinfo.BasicTypeInfo)1 PrimitiveArrayTypeInfo (org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo)1