羁眺伤千里|JTSQLServer性能调优札记(二)

时间:2018-05-18  来源:公务员类考试  阅读:

  分析问题
  将数据库备份到一台测试的服务器上,查看一下数据库的数据文件和日志文件情况,发现日志文件比较大,貌似这也是一个SQL Server 存在的问题,具体原因不清楚,但是解决方法已经非常成熟,该问题暂时不影响使用,先不管它。
  上一篇定位了问题,找出了多条Top SQL,其中这条最过分。
  exec oa_SWLIST
  ’glzyf’,
  ’(s.fileSerialNumber like ’’%%’’ or s.title like ’’%%’’ or s.keywords like ’’%%’’ or s.fileZi like ’’%%’’) and ’,
  ’ ( ft.userid=’’glzyf’’ ) ’
  分析一下这个存储过程,我习惯是先看看SQL语句的结构,而不是马上看执行计划,或者直接跑语句获得统计信息。
  ALTER PROCEDURE [dbo].[oa_SWLIST]
  @userID varchar(20),
  @sql varchar(1000),
  @userIDs varchar(1000)
  AS
  DECLARE @SQL1 nchar(4000) ;
  DECLARE @SQL2 nchar(4000) ;
  create table #employees(
  [id] [int] IDENTITY(1,1) NOT NULL,parentId int,pkId int,status int,title nvarchar(1500),comeOrg nvarchar(100),
  fileDate DateTime,fileName nvarchar(4000),filePath nvarchar(4000),readStatus nvarchar(10),optionStatus nvarchar(10),
  depId nvarchar(20),urgencyLevel nvarchar(10));
  set @SQL1=’insert into #employees (parentId,pkId,status,title,comeOrg,fileDate,fileName,filePath,readStatus,optionStatus,depId,urgencyLevel)
  select distinct s.parentId,s.pkId,0,s.title,s.comeOrg,s.fileDate,
  s.fileName,s.filePath,ft.readStatus,0,s.remark3,
  case
  when urgencyLevel=’’普通’’ then 0
  when urgencyLevel=’’急件’’ then 1
  when urgencyLevel=’’特办’’ then 2
  when urgencyLevel=’’特急件’’ then 3
  when urgencyLevel=’’限时’’ then 4
  else 0
  end as urgencyLevel
   from ShouWen as s ,
  FlowTurning as ft where ’+@sql+’ ft.status=0 and ft.type=’’sw’’
  and s.pkid=ft.pkid and s.status<>’’4’’ and ’+@userIDs+’ order by urgencyLevel desc,s.filedate desc’
  set @SQL2=’insert into #employees (parentId,pkId,status,title,comeOrg,fileDate,
  fileName,filePath,readStatus,optionStatus,depId,urgencyLevel)
  select distinct s.parentId,s.pkId,1,s.title,s.comeOrg,s.fileDate,
  s.fileName,s.filePath,1,l.optionstatus,s.remark3,urgencyLevel
  from shouwen as s, log as l where ’+@sql+’ s.status<>’’4’’ and s.pkid in
  (
  select distinct(mid) from log where uid=’’’+@userID+’’’ and typeid=’’shouwen’’
  )and l.mid=s.pkid and uid=’’’+@userID+’’’ and typeid=’’shouwen’’
  order by s.fileDate desc’
  print (@SQL1);
  exec (@SQL1)
  print (’+++++++++++++++++++++++++++++++++++’); 
  print (@SQL2);
  exec (@SQL2)
  select * from #employees
  delete from #employees
  从结果来看该存储过程其实就是执行了两条动态SQL,分别存在@SQL1和SQL2。稍微修改了一下存储过程,加入了一些调试信息,打开统计器。
  SET STATISTICS IO on;
  SET STATISTICS TIME on;
  执行存储过程,这里由于信息量比较大。
  可见@SQL1的语句耗时并不多,@SQL2资源占用是非常厉害的。其中 Log 表扫描530次,这个表的数据量有257417条,说大不大,说小也不小了,而且还得扫描530次,唉,啥也不说了,而shouwen这张表就小很多也有25000+条记录。#p#分页标题#e#
  我将@SQL2的语句整理出来,去掉那个讨厌的 insert into #employees。
  select distinct s.parentId,s.pkId,1,s.title,s.comeOrg,s.fileDate,
  s.fileName,s.filePath,1,l.optionstatus,s.remark3,urgencyLevel
  from shouwen as s,
  log as l
  where
  (s.fileSerialNumber like ’%%’ or s.title like ’%%’
  or s.keywords like ’%%’ or s.fileZi like ’%%’)
  and s.status<>’4’
  and s.pkid in
  (select distinct(mid) from log where uid=’glzyf’ and typeid=’shouwen’)
  and l.mid=s.pkid and uid=’glzyf’ and typeid=’shouwen’
  order by s.fileDate desc
  看看这个select 语句的执行计划啦。
  以下才是重点,两个在Log表上面的“聚集索引扫描”:
  无论哪个RDBMS的语句调优,绝大部分的情况下都是将执行计划中的“扫描”转变为“查找”。

羁眺伤千里|JTSQLServer性能调优札记(二)

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