1、处理时间
无须设置水位线策略和时间戳分配。
bash
input.keyBy(e -> e)
.window(TumblingProcessingTimeWindows.of(Duration.ofSeconds(5)))
.apply(new WindowFunction<String, String, String, TimeWindow>() {
@Override
public void apply(String s, TimeWindow timeWindow, Iterable<String> iterable, Collector<String> collector) throws Exception {
for (String string : iterable) {
collector.collect(string);
}
}
})
.print();
2、事件时间
需要设置水位线和分配时间戳。
bash
DataStreamSource<String> input = env.socketTextStream("localhost", 8888);
// 测试时限制了分区数,生产中需要设置空闲数据源
env.setParallelism(2);
// 事件时间需要设置水位线策略和时间戳
SingleOutputStreamOperator<Tuple2<String, Long>> map = input.map(new MapFunction<String, Tuple2<String, Long>>() {
@Override
public Tuple2<String, Long> map(String input) throws Exception {
String[] fields = input.split(",");
return new Tuple2<>(fields[0], Long.parseLong(fields[1]));
}
});
SingleOutputStreamOperator<Tuple2<String, Long>> watermarks = map.assignTimestampsAndWatermarks(WatermarkStrategy.<Tuple2<String, Long>>forBoundedOutOfOrderness(Duration.ofSeconds(0))
.withTimestampAssigner(new SerializableTimestampAssigner<Tuple2<String, Long>>() {
@Override
public long extractTimestamp(Tuple2<String, Long> input, long l) {
return input.f1;
}
}));
watermarks.keyBy(e -> e.f0)
.window(TumblingEventTimeWindows.of(Duration.ofSeconds(5)))
.apply(new WindowFunction<Tuple2<String, Long>, String, String, TimeWindow>() {
@Override
public void apply(String s, TimeWindow timeWindow, Iterable<Tuple2<String, Long>> iterable, Collector<String> collector) throws Exception {
for (Tuple2<String, Long> input : iterable) {
collector.collect(input.f0);
}
}
})
.print();