继续调优,今天上午分析了以下一条处理时间达40秒的SQL语句
select *
from table
where T_table_ID in
(
select distinct s.t_table_id
from
(
select distinct a.t_table_id,a.bt
from
(select left(bt,4) as bbt,* from table where fsrq>getdate()-1 and gkbz=1 and scbz=0) a,
(select distinct left(bt,4) as bbt,t_table_id from table where fsrq>getdate()-1 and gkbz=1 and scbz=0) b
where b.bbt like a.bbt and a.t_table_id<>b.t_table_id
and a.bbt not like '%aaaa%' and a.bbt not like '%bbbb%' and a.bbt not like '%cccc%'
and a.bbt not like '%dddd%' and a.bbt not like '%eeee%' and a.bbt not like '%ffff%'
and a.bbt not like '%aaaa%' and a.bbt not like '%bbbb%' and a.bbt not like '%cccc%'
and a.bbt not like '%dddd%' and a.bbt not like '%eeee%' and a.bbt not like '%ffff%'
-- order by a.bt
union all
select distinct a.t_table_id,a.bt
from
(select right(bt,5) as bbt,* from table where fsrq>getdate()-1 and gkbz=1 and scbz=0) a,
(select distinct right(bt,5) as bbt,t_table_id from table where fsrq>getdate()-1 and gkbz=1 and scbz=0) b
where b.bbt like a.bbt and a.t_table_id<>b.t_table_id
and a.bbt not like '%aaaa%' and a.bbt not like '%bbbb%' and a.bbt not like '%cccc%'
and a.bbt not like '%dddd%' and a.bbt not like '%eeee%' and a.bbt not like '%ffff%'
and a.bbt not like '%aaaa%' and a.bbt not like '%bbbb%' and a.bbt not like '%cccc%'
and a.bbt not like '%dddd%' and a.bbt not like '%eeee%' and a.bbt not like '%ffff%'
and a.bbt not like '%'+(select right(convert(varchar(10),getdate()-1,20),2)+')') +'%'
and b.bbt not like '%'+(select right(convert(varchar(10),getdate()-1,20),2)+')') +'%'
) s
)order by bt
基本上可以认为是对同一张表的反复操作,而且语句中夹杂了太多的全表扫描
SQLServer的执行计划我个人认为图形化界面固然是好,但是有些时候对于量化的I/O,CPU,COST输出却很不直观,此外像该SQL这样的执行计划,估计1600*1200的整个屏幕都无法显示,可以认为基本是没法看的
只能将SQL分解成若干小SQL,逐步找到瓶颈所在,例如
select left(bt,4) as bbt,* from table where fsrq>getdate()-1 and gkbz=1 and scbz=0
select distinct left(bt,4) as bbt,t_table_id from table where fsrq>getdate()-1 and gkbz=1 and scbz=0
这两个语句的执行都非常快,并且结果集也比较小,但是两条语句合并后并加上相关条件就非常缓慢。
干脆直接构建两个临时表,反正都是全表扫描,用两个临时表做相互的join,测试之后发现只需要1秒
再构建下面的两个SQL临时表,也做同样的测试
最后再全部合并到一起进行测试,发现也就是2~3秒
实际上还可以再优化一些临时表的构建,但效果达到了也就不愿意尝试了
也尝试过用CTE,不过似乎效果不佳
以下为优化后的SQL样例
/*
with temp1 as
(select left(bt,4) as bbt,* from table where fsrq>getdate()-1 and gkbz=1 and scbz=0),
temp2 as
(select distinct left(bt,4) as bbt,t_table_id from table where fsrq>getdate()-1 and gkbz=1 and scbz=0),
temp3 as
(select left(bt,5) as bbt,* from table where fsrq>getdate()-1 and gkbz=1 and scbz=0),
temp4 as
(select distinct left(bt,5) as bbt,t_table_id from table where fsrq>getdate()-1 and gkbz=1 and scbz=0)
*/
print convert(varchar,getdate(),9)
select left(bt,4) as bbt,* into #temp1 from table where fsrq>getdate()-1 and gkbz=1 and scbz=0
select distinct left(bt,4) as bbt,t_table_id into #temp2 from table where fsrq>getdate()-1 and gkbz=1 and scbz=0
select right(bt,5) as bbt,* into #temp3 from table where fsrq>getdate()-1 and gkbz=1 and scbz=0
select distinct right(bt,5) as bbt,t_table_id into #temp4 from table where fsrq>getdate()-1 and gkbz=1 and scbz=0
select
(select ms from xtclb where dm=lmxz and lb in (130,131) ) as '栏目选择',
bt,mtly,czy
from table
where T_table_ID in
(
select distinct s.t_table_id
from
(
select distinct a.t_table_id,a.bt
from
#temp1 a,
#temp2 b
where b.bbt like a.bbt and a.t_table_id<>b.t_table_id
and a.bbt not in ('aaaa','bbbb','cccc','dddd','eeee','ffff')
and b.bbt not in ('aaaa','bbbb','cccc','dddd','eeee','ffff')
union all
select distinct a.t_table_id,a.bt
from
#temp3 a,
#temp4 b
where b.bbt like a.bbt and a.t_table_id<>b.t_table_id
and a.bbt not like '%aaaa%' and a.bbt not like '%bbbb%' and a.bbt not like '%cccc%'
and a.bbt not like '%dddd%' and a.bbt not like '%eeee%' and a.bbt not like '%ffff%'
and a.bbt not like '%'+(select right(convert(varchar(10),getdate()-1,20),2)+')') +'%'
and a.bbt not like '%aaaa%' and a.bbt not like '%bbbb%' and a.bbt not like '%cccc%'
and a.bbt not like '%dddd%' and a.bbt not like '%eeee%' and a.bbt not like '%ffff%'
and b.bbt not like '%'+(select right(convert(varchar(10),getdate()-1,20),2)+')') +'%'
) s
)order by bt
--OPTION (loop join);
--34
print convert(varchar,getdate(),9)
/*
drop table #temp1
drop table #temp2
drop table #temp3
drop table #temp4
*/