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,3774bca649224249bdbcb8e7c80b52f9,1,0,8,1607932790000)
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
15:59:50,4f28c1211e274bba819cc63680a3b386,1,0,8,1607932790000)
left>
(false,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,,2020-12-14
15:59:50,4f28c1211e274bba819cc63680a3b386,1,0,8,1607932790000)
left>
(true,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,yangkg001,null,4f28c1211e274bba819cc63680a3b386,1,0,8,1607932790000)
right> (false,3774bca649224249bdbcb8e7c80b52f9,1,0,8,1607932790000)
right> (true,3774bca649224249bdbcb8e7c80b52f9,1,0,1,1607933006000)
left>
(false,3774bca649224249bdbcb8e7c80b52f9,TS202012141551420518,3,2a30402475dd4d89b461d2e457b297f0,NP02,NP020101,NP020202,yangkg001,yangkg001,null,4f28c1211e274bba819cc63680a3b386,1,0,8,1607932790000)
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 " ;
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