Apache Flink -计算两个连续事件与事件时间之间的差值

DataStream<Event> events = ...; // 输入的事件流

DataStream<Tuple2<Event, Long>> timeDiff = events
    .assignTimestampsAndWatermarks(new EventTimeAssigner())
    .keyBy(event -> event.getKey()) // 按事件的关键字进行分组
    .window(TumblingEventTimeWindows.of(Time.seconds(10))) // 使用10秒的滚动窗口
    .apply(new WindowFunction<Event, Tuple2<Event, Long>, String, TimeWindow>() {
        @Override
        public void apply(String key, TimeWindow window, Iterable<Event> events, Collector<Tuple2<Event, Long>> out) {
            Iterator<Event> iterator = events.iterator();
            Event firstEvent = iterator.next();
            while (iterator.hasNext()) {
                Event secondEvent = iterator.next();
                long timeDiff = secondEvent.getTimestamp() - firstEvent.getTimestamp();
                out.collect(new Tuple2<>(secondEvent, timeDiff));
                firstEvent = secondEvent;
            }
        }
    });

timeDiff.print(); // 打印计算结果