-- 转发的邮件 --
发件人：hdxg1101300123
日期：2020年12月15日 10:36
主题：两条流去重后再关联出现不符合预期数据
收件人：user-zh
抄送：
> 你好：
> 我在使用flink
> 1.11.2版本的时候使用flinksql处理两条流。因为两条流都是数据库变更信息，我需要取最新的数据关联；所以分别对两条流做row_number=1
> (SELECT [column_list] FROM (
> SELECT [column_list],
> ROW_NUMBER() OVER ([PARTITION BY col1[, col2...]]
> ORDER BY time_attr [asc|desc]) AS rownum
> FROM table_name)
> WHERE rownum = 1)
> 去重后再左关联；
> 前期当左流变更都没有问题，结果符合预期；当右流有数据时，第一条数据也符合预期，但是右流在发送一条数据出现变更时，出现了一条不符合预期的数据；
>
> left>
> (true,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,,2020-12-14
> 15:59:50,4f28c1211e274bba819cc63680a3b386,null,null,null,null)
> right> (true,3774bca649224249bdbcb8e7c80b52f9,1,0,8,160793279)
> left>
> (false,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,,2020-12-14
> 15:59:50,4f28c1211e274bba819cc63680a3b386,null,null,null,null)
> left>
> (true,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,,2020-12-14
> 15:59:50,4f28c1211e274bba819cc63680a3b386,1,0,8,160793279)
> left>
> (false,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,,2020-12-14
> 15:59:50,4f28c1211e274bba819cc63680a3b386,1,0,8,160793279)
> left>
> (true,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,yangkg001,null,4f28c1211e274bba819cc63680a3b386,1,0,8,160793279)
>
> right> (false,3774bca649224249bdbcb8e7c80b52f9,1,0,8,160793279)
> right> (true,3774bca649224249bdbcb8e7c80b52f9,1,0,1,1607933006000)
> left>
> (false,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,yangkg001,null,4f28c1211e274bba819cc63680a3b386,1,0,8,160793279)
>
> left>
> (true,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,yangkg001,null,4f28c1211e274bba819cc63680a3b386,null,null,null,null)
>
> left>
> (false,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,yangkg001,null,4f28c1211e274bba819cc63680a3b386,null,null,null,null)
>
> left>
> (true,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,yangkg001,null,4f28c1211e274bba819cc63680a3b386,1,0,1,1607933006000)
>
>
> 第1行左流来了数据显示true，此时右流没有数据结果是null；
> 第2行右流来了数据，显示为true（单独打印了右流的结果）；
> 第3行显示左流撤回；
> 第4行 左右流数据关联上，正常显示；
> 第5行 左流数据变更，数据撤回；
> 第6行 显示变更后的数据；
> 第7行 右流数据变化，数据撤回；
> 第8行 显示右流最新的结果；
> 第9行 因为右流数据变化 所以左流（关联数据）撤回；
> 第10行 和第11 行 不符合预期；
> 正常应该是 右流发生变化 第9行 因为右流数据变化 所以左流（关联数据）撤回；然后右流的最新数据和左流产生结果；显示第12行数据才对；
> 所以想请教一下大家；
>
> 1607998361520>
> (true,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,yangkg001,null,4f28c1211e274bba819cc63680a3b386,null,null,null,null)
>
> 1607998361520>
> (false,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,yangkg001,null,4f28c1211e274bba819cc63680a3b386,null,null,null,null)
>
>
> 我的sql语句如下
> String sql = "SELECT a.sheetId
> sheetId,sheetCode,sheetStatus,sheetType,sheetScene,sheetObject," +
> "
> sheetPresentation,sheetAcceptor,sheetHandler,updateTime,dealTaskId,provided,satisfied,score,operateTime
> " +
> " from (SELECT
> sheetId,sheetCode,sheetStatus,sheetType,sheetScene,sheetObject," +
> " sheetPresentation,sheetAcceptor,sheetHandler,updateTime,dealTaskId"
> +
> " FROM (SELECT *," +
> " ROW_NUMBER() OVER (PARTITION BY sheetId ORDER BY operateTime
> desc) AS rownum " +
> " FROM sheetMain)" +
> " WHERE rownum = 1 ) a" +
> " left JOIN " +
> " (select sheetId,provided,satisfied,score,operateTime from (SELECT
> *," +
> " ROW_NUMBER() OVER (PARTITION BY sheetId ORDER BY operateTime
> desc) AS rownum " +
> " FROM sheetAnswers)" +
> " WHERE rownum = 1 ) c" +
> " ON a.sheetId = c.sheetId " ;
>
>
>
> hdxg1101300...@163.com
