序 本文主要研究一下flink的AscendingTimestampExtractor AscendingTimestampExtractor flink-streaming-java_2.11-1.7.0.../org/apache/flink/streaming/api/functions/timestamps/AscendingTimestampExtractor.java /** * A timestamp...* @return This extractor. */ public AscendingTimestampExtractor withViolationHandler.../org/apache/flink/streaming/api/functions/timestamps/AscendingTimestampExtractor.java /** *...AscendingTimestampExtractor抽象类实现AssignerWithPeriodicWatermarks接口的extractTimestamp及getCurrentWatermark
序 本文主要研究一下flink的AscendingTimestampExtractor apache-flink-training-time-and-watermarks-7-638 (1).jpg...AscendingTimestampExtractor flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/functions/timestamps/AscendingTimestampExtractor.java /** * A timestamp...* @return This extractor. */ public AscendingTimestampExtractor withViolationHandler.../org/apache/flink/streaming/api/functions/timestamps/AscendingTimestampExtractor.java /** *
), f.split(",")(1).toInt, f.split(",")(2).toLong) }) .assignTimestampsAndWatermarks(new AscendingTimestampExtractor...), f.split(",")(1).toInt, f.split(",")(2).toLong) }) .assignTimestampsAndWatermarks(new AscendingTimestampExtractor...), f.split(",")(1).toInt, f.split(",")(2).toLong) }) .assignTimestampsAndWatermarks(new AscendingTimestampExtractor...), f.split(",")(1).toInt, f.split(",")(2).toLong) }) .assignTimestampsAndWatermarks(new AscendingTimestampExtractor
AscendingTimestampExtractor public abstract long extractAscendingTimestamp(T element); @Override...Long.MIN_VALUE : currentTimestamp - 1); } AscendingTimestampExtractor产生的时间戳和水印必须是单调非递减的,用户通过覆写extractAscendingTimestamp...单调递增的事件时间并不太符合实际情况,所以AscendingTimestampExtractor用得不多。
AscendingTimestampExtractor 还是看代码吧。...Long.MIN_VALUE : currentTimestamp - 1); } AscendingTimestampExtractor产生的时间戳和水印必须是单调非递减的,用户通过覆写extractAscendingTimestamp...单调递增的事件时间并不太符合实际情况,所以AscendingTimestampExtractor用得不多。
我们本次便从这个数据流开始入手,首先是对这条流的事件时间进行一个重新定义,我们就使用订单的时间戳作为事件时间 joinedStream.assignTimestampsAndWatermarks(new AscendingTimestampExtractor...org.apache.flink.streaming.api.functions.KeyedProcessFunction; import org.apache.flink.streaming.api.functions.timestamps.AscendingTimestampExtractor...,String,Integer,String,Integer>> oraderTimedStream = oraderStream.assignTimestampsAndWatermarks(new AscendingTimestampExtractor...Integer,Long,String,Integer,Integer>> joinedTimedStream = joinedStream.assignTimestampsAndWatermarks(new AscendingTimestampExtractor
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.timestamps.AscendingTimestampExtractor...,String,Integer,String,Integer>> oraderTimedStream = oraderStream.assignTimestampsAndWatermarks(new AscendingTimestampExtractor...,String,Integer,String,Integer>> oraderTimedStream = oraderStream.assignTimestampsAndWatermarks(new AscendingTimestampExtractor
DataStream withTimestampsAndWatermarks = stream.assignTimestampsAndWatermarks(new AscendingTimestampExtractor
new FlinkKafkaConsumer09("myTopic", schema, props); kafkaSource.assignTimestampsAndWatermarks(new AscendingTimestampExtractor...FlinkKafkaConsumer09[MyType]("myTopic", schema, props) kafkaSource.assignTimestampsAndWatermarks(new AscendingTimestampExtractor
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.timestamps.AscendingTimestampExtractor...Integer,String,Integer>> oraderStream = env.addSource(consumer010Order).assignTimestampsAndWatermarks(new AscendingTimestampExtractor
Override public long extractTimestamp(MyEvent event) { return event.getTimestamp(); } } AscendingTimestampExtractor...示例: public class MyAscendingTimestampExtractor extends AscendingTimestampExtractor { @Override...水印生成器(Watermark Generators)的选择: Flink 提供了多种内置的水印生成器,如 BoundedOutOfOrdernessTimestampExtractor 和 AscendingTimestampExtractor...AscendingTimestampExtractor 适用于处理按事件顺序到达的数据流,它假定数据已经按照事件时间排序。
SimpleStringSchema(), properties); consumer.setStartFromLatest(); consumer.assignTimestampsAndWatermarks(new AscendingTimestampExtractor
FlinkKafkaConsumer(TOPIC_IN, new MySchema(), props); kafkaConsumer.assignTimestampsAndWatermarks(new AscendingTimestampExtractor
// 无需设置延时时间 把当前的getTimestamp提取出当成当前的事件时间 .assignTimestampsAndWatermarks(new AscendingTimestampExtractor
tokens[0], eventtime, 1); } } private static class MyTimestamp extends AscendingTimestampExtractor
FsCheckpointStorage 聊聊flink的FsCheckpointStreamFactory 聊聊flink的TimeCharacteristic 聊聊flink的EventTime 聊聊flink的AscendingTimestampExtractor
String s) throws Exception { return new JSONObject(s).get("timestamp").toString(); } }); 2)AscendingTimestampExtractor...*/ DataStream ascendingTimeStamp = stream.assignTimestampsAndWatermarks(new AscendingTimestampExtractor
Order.class); } }) .assignTimestampsAndWatermarks(new AscendingTimestampExtractor
.addSource(new UserBehaviorSource("state/UserBehavior-50.csv")).assignTimestampsAndWatermarks(new AscendingTimestampExtractor
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