flink流具有多个数据流,然后使用org.apache.flink.streaming.api.datastream.DataStream#union方法对这些数据流进行合并。Sorting union of streams to identify user sessions in Apache Flink 我得到了答案,但com.liam.learn.flink.example.union.UnionStreamDemo.SortFunction环境信息:
卡夫卡,Flink和Tidb的新版本。假设我有三个源MySql表-- s_a、s_b和s_c,并希望实时收集记录以针对TiDb表t_a和t_b。映射规则是`s_b` union `s_c` ---> `t_b` with some transformation (e.g我采用的解决方案是kafka +带有Tidb接收器的Flink,其中binlog更改被订阅到Kafka主题;Flink使用该主题并将转换结果写入Tidb。对我来说,<
= delayqueue.map(prepareData2()) // these messages comes from delay
val taggedStream = enrichedResults.process(tagStreamAsRetryOrNot延迟流的另一端: delayQueue(written by flink) => co
com.hulu.hiveIngestion.HiveAddPartitionThread.run(HiveAddPartitionThread.java:48) at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
at org.apache.fli
我在下面的一个片段中概述了我正在尝试工作的内容(作为概念的证明),但是当我试图上传它时,我得到了一个org.apache.flink.client.program.ProgramInvocationExceptionStreams, one for each "rule" that is being executed
// For now, I have a simple custom wrapper on flink'sMyClass.filter(logs, "response"