下面提供四款sql多表关联查询的实例,个个效率不一样。
select
*
from
order_info
as
a
,ivrlog4ivrdlvinst
as
b
where
(a.saleorder=b.ext1_skill
and
b.start_date=@date1
and
se_id='55'
and
b.ext1_skill!='')
and
convert(varchar(10),a.instime,112)=@date2
and
max(a.instime)
方法二
select
*
from
order_info
as
a
where
a.saleorder=(
select
b.ext1_skill
from
ivrlog4ivrdlvinst
as
b
where
b.start_date=@date1
and
se_id='55'
and
b.ext1_skill!='')
and
convert(varchar(10),max(a.instime),112)=@date2
方法三
declare
@date1
varchar(20),
@date2
varchar(20)
set
@date1='20100812'
set
@date2='2010-08-12'
select
*
from
order_info
as
a
where
a.saleorder=
(select
b.ext1_skill
from
ivrlog4ivrdlvinst
as
b
where
b.start_date=@date1
and
se_id='55'
and
b.ext1_skill!='')
and
convert(varchar(10),a.instime,112)=@date2
and
max(a.instime)
方法四
select
b.caller,
b.start_date,
b.start_time,
b.ext1_skill,
c.deliveryno,
c.destroyresult,
c.deliverydate,
c.deliverytime,
c.arrangetime,
c.driverphone,
c.drivermobile,
a.servicedate,
a.servicetime,
a.workertel
from
order_info
as
a
,ivrlog4ivrdlvinst
as
b
,delivery_info
as
c
where
a.saleorder
in
(select
b.ext1_skill
from
ivrlog4ivrdlvinst
where
b.start_date=@date1
and
b.se_id='55'
and
b.ext1_skill!='')
and
convert(varchar(10),a.instime,112)=@date2
order
by
b.start_date
desc,
b.start_time
desc
联合查询效率较高.以下例子来说明联合查询的好处t1表结构(用户名,密码)userid int username varchar(20) password varchar(20)
1jack jackpwd
2owenowenpwd
t3表结构(用户积分,等级)userid int jf int dj int
1 20 3
3 50 6
第一:内联(inner join)
如果想把用户信息,积分,等级都列出来.那么一般会这样写
select * from t1 ,t3 where t1.userid = t3.userid 其实这样的结果等同于select * from t1 inner join t3 on t1.userid=t3.userid
就是把两个表中都存在userid的行拼成一行.这是内联.但后者的效率会比前者高很多.建议用后者的写法.
运行结果:useridusername password userid jfdj
1 jackjacjpwd 1 20 3
第二:左联(left outer join)显示左表中的所有行
select * from t1 left outer join t3 on t1.userid=t3.userid
运行结果:useridusername password userid jf dj
1jack jackpwd 1 20 3
2 owen owenpwd NULL NULL NULL
第三:右联(right outer join)显示右表中的所有行
select * from t1 right outer join t3 on t1.userid=t3.userid
运行结果:useridusername password userid jf dj
1jack jackpwd 1 20 3
NullNull Null 350 6
第四:全联(full outer join)显示两边表中所有行
select * from t1 full outer join t3 on t1.userid=t3.userid
运行结果:useridusername password userid jf dj
1jack jackpwd 1 20 3
2 owen owenpwd NULL NULL NULL
NullNull Null 350 6
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