在Flink 1.11中,assignTimestampsAndWatermarks方法已经被新的方法assignTimestamps和assignWatermarks所替代。这是为了更好地将时间戳和水位线的定义分离开来
以下是使用新API的示例代码:
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.AssignerWithPunctuatedWatermarks;
public class FlinkEventTimeExample {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(1);
// 假设数据源是一个自定义的无界数据源
DataStream<MyEvent> stream = env.addSource(new MyCustomSource());
// 为数据流分配事件时间字段
stream
.assignTimestampsAndWatermarks(
WatermarkStrategy
.forBoundedOutOfOrderness(Duration.ofSeconds(20))
.withTimestampAssigner(new SerializableTimestampAssigner<MyEvent>() {
@Override
public long extractTimestamp(MyEvent element, long recordTimestamp) {
return element.getEventTimestamp();
}
})
.withWatermarkGenerator(new AssignerWithPunctuatedWatermarks<MyEvent>() {
@Nullable
@Override
public Watermark checkAndGetNextWatermark(MyEvent lastElement, long extractedTimestamp) {
return new Watermark(lastElement.getEventTimestamp() - 1);
}
})
);
// 进一步的数据处理逻辑...
env.execute("Flink Event Time Example");
}
public static class MyEvent {
public long getEventTimestamp() {
// 返回事件时间戳的方法
return 0;
}
}
public static class MyCustomSource implements SourceFunction<MyEvent> {
// 实现自定义数据源的逻辑
}
}
在这个例子中,WatermarkStrategy被用来定义水位线的生成策略。你可以使用forBoundedOutOfOrderness或者forMonotonousTimestamps等方法来指定水位线的生成,并通过withTimestampAssigner指定时间戳的提取方式。如果需要更复杂的水位线生成逻辑,可以通过实现AssignerWithPunctuatedWatermarks接口来定义。
标签:Flink,1.11,flink,assignTimestamps,水位,import,new,public From: https://www.cnblogs.com/sunny3158/p/18096116