开窗函数,SQLServer修改表数据

使用SSMS数据库管理工科具修改数据

前天一台SQL Server 二零零六福特Explorer2的数据库在早上5点多抛出上边告警察讯问息:

1.基本概念

修改任性一条可能多条都足以

1:张开数据库,选用数据表,右键点击-》编辑全体行(如未铺排,点击编辑前200行)。

图片 1

2、编辑须求修改的数量-》编辑完结后,右键点击空白处-》选拔实行SQL就能够编辑成功。

图片 2

 

开窗函数分为五个部分各自是

使用T-SQL脚本修改数据

 The log scan number (620023:3702:1) passed to log scan in database 'xxxx' is not valid. This error may indicate data corruption or that the log file (.ldf) does not match the data file (.mdf). If this error occurred during replication, re-create the publication. Otherwise, restore from backup if the problem results in a failure during startup.

1.集结,排行,偏移,布满函数 。

修改单表中一行单列或然多列数据

语法:update 表名 set 列名1=值,列名2=值 where 条件;

示例一:update test1  set age='21' where id='1';

示范结果:

图片 3

 

2.开窗分区,排序,框架。

修改单表中多行一列或多列数据

语法:update top(数量) 表名 set 列名1=值,列名2=值2 where 条件;

示例:

update test1 set age='23' where id in ('1','2');

update test1 set age='22' where id between '3' and '4';

update test1 set age='23' where id>='5' and id <='6';

update top(2) test1 set age='23' where id>='5';

update test1 set age='23' where test1.id in (select top(2) id from test1 order by id desc);

亲自去做结果:

图片 4

图片 5

 

上边举个例证

多表关联修改表中多少

语法:update 表1 set 表1.列1=值,表1.列2=值 from 表1 as a,表2 as b where a.列名=b.列名;

示例:update test1 set test1.name='李华',test1.sex='女' from test1 as a,test2 as b where a.classid=b.id;

示范结果:

 图片 6

图片 7

   乍一看,还感觉数据库损坏了(data corruption),可是在做完DBCC CHECKDB后,发掘实际上数据库其实是上佳的。那么必然是跟Replication有关。不过在搜寻了有关材质,仅仅在The process could not execute ‘sp_repldone/sp_replcounters” 那篇博客中找到了类似错误的素材:

SELECT empid, ordermonth, val,
  SUM(val) OVER(PARTITION BY empid
                ORDER BY ordermonth
                ROWS BETWEEN UNBOUNDED PRECEDING
                         AND CURRENT ROW) AS runval
FROM Sales.EmpOrders;

小结:修改数据表数据,灵活组合修改数据列,数据源,查询条件是最首要。

 

 

sum(val)  正是会晤函数

Common Causes

 

  • The last LSN in Transaction Log is less than what the LSN Log Reader is trying to find. An old backup may have been restored on top of Published Database. After the restore, the new Transaction Log doesn't contain the data now distributor & subscriber(s) have.

  • Database corruption.

 

over() 就是开窗     PARTITION BY empid  正是开窗分区(分组)   O奥迪Q5DEWrangler BY ordermonth 开窗排序  

How to fix this

 

  • Ensure database consistency by running DBCC CHECKDB on the database. 

  • If an old backup was restored on top of published database then use sp_replrestart

  • If going back to the most recent transaction log backup is not an option then execute sp_replrestart  on publisher in published database. This stored procedure is used when the highest log sequence number (LSN) value at the Distributor does match the highest LSN value at the Publisher.

  • This stored procedure will insert compensating LSNs (No Operation) in the publisher database log file till one the compensating LSN becomes more than the highest distributed LSN in distribution database for this published database. After this it inserts this new high LSN in the msrepl_transactions table in the distribution database and executes sp_repldone on published database to update the internal structures to mark a new starting point for log reader agent.

  • Ensure that the log reader agent is stopped and there is no incoming transactions on the published database, when this SP is executed.

  • Since transactions may have been lost, we recommend to reinitialize the subscriber(s) and/or recreate publication/subscription(s).  For large databases consider using “Initialize from Backup” as discussed in SQL Book Online.

 

然则在那一个案例在那之中, 数据库既未有损坏,也尚无复苏过。 只好是Replication出现了错误,不过在SQL Server的Replication中又从不找到有关错误音讯,自个儿这么些是AWS的DMS自动生成的Replication,比比较多中间音信不太知道(譬如,是不是出现万分),官方也未有找到很详细的介绍这些颠倒是非的相干材质。在此记录一下。

 

 

 

 

参谋资料:

 

 ROWS BETWEEN UNBOUNDED PRECEDING AND CUCR-VRENT ROW  开窗架构

2.排行榜开窗函数

 SQL SE哈弗VE奇骏 协助4个排行函数 ROW_NUMBER,RANK,DENSE_RANK ,NTLE   来探视它们分其他功用

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