Flink WatermarkKeyed

1.stream1监听端口9999,stream2监听端口9998

此时stream1和stream2 以及keyed水位线都是最小值

2.输入 a 1,最新的水位线为999ms(1000ms-1ms)

3.stream2

a = 5

stream2

package com.claroja;import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.typeinfo.TypeHint;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.TimeCharacteristic;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;public class WatermarkKeyed {public static void main(String[] args) throws Exception {StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);env.setParallelism(1);SingleOutputStreamOperator<Tuple2<String, Long>> stream1 = env.socketTextStream("localhost", 9999,'\n').map(r -> Tuple2.of(r.split(" ")[0], Long.parseLong(r.split(" ")[1]) * 1000L)).returns(new TypeHint<Tuple2<String, Long>>() {}).assignTimestampsAndWatermarks(// 升序时间戳抽取WatermarkStrategy.<Tuple2<String, Long>>forMonotonousTimestamps().withTimestampAssigner(new SerializableTimestampAssigner<Tuple2<String, Long>>() {@Overridepublic long extractTimestamp(Tuple2<String, Long> stringLongTuple2, long l) {return stringLongTuple2.f1;}}));SingleOutputStreamOperator<Tuple2<String, Long>> stream2 = env.socketTextStream("localhost", 9998).map(r -> Tuple2.of(r.split(" ")[0], Long.parseLong(r.split(" ")[1]) * 1000L)).returns(new TypeHint<Tuple2<String, Long>>() {}).assignTimestampsAndWatermarks(// 升序时间戳抽取WatermarkStrategy.<Tuple2<String, Long>>forMonotonousTimestamps().withTimestampAssigner(new SerializableTimestampAssigner<Tuple2<String, Long>>() {@Overridepublic long extractTimestamp(Tuple2<String, Long> stringLongTuple2, long l) {return stringLongTuple2.f1;}}));stream1.union(stream2).keyBy(r -> r.f0).process(new Keyed()).print();env.execute();}public static class Keyed extends KeyedProcessFunction<String, Tuple2<String, Long>, String> {//每收到一个数据就会掉用一次@Overridepublic void processElement(Tuple2<String, Long> stringLongTuple2, Context context, Collector<String> collector) throws Exception {collector.collect("当前水位线是：" + context.timerService().currentWatermark());}}
}

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