每个商店都有自己的数据库(我同意这是不好的做法),我需要从符合特定条件的所有个人数据库中获取数据。到目前为止,我已经想出了这个,但是我得到了错误
Msg 102,Level 15,State 1,Line 81
')'附近的语法不正确。
我认为这将展示我需要实现的目标,动态SQL是执行此任务的最佳方式吗?如果是这样,我该怎么做才能消除我的错误。如果没有,那么更高级的SQL用户可以提供什么想法/想法/重写。
Create Table #storeinformation
(
storeID int IDENTITY(1,1) PRIMARY KEY
,storename varchar(150)
,storetype varchar(150)
)
Insert INTO #storeinformation Values ('A', 'Corner'), ('B', 'Strip Mall'), ('C', 'Corner'), ('D', 'Corner')
Create Table #storeA
(
storeID varchar(100)
,employeeid int
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,gsmapproval varchar(10)
,BDSMapproval varchar(10)
,RSMapproval varchar(10)
)
Insert INTO #storeA VALUES ('A', 16, '14.23', '18.36', '18.22', NULL, NULL, NULL),('A', 43, '110.23', '181.36', '183.22', NULL, NULL, NULL),('A', 55, '124.23', '182.36', '183.22', 'Yes', 'Yes', 'Yes')
Create Table #storeB
(
storeID varchar(100)
,employeeid int
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,gsmapproval varchar(10)
,BDSMapproval varchar(10)
,RSMapproval varchar(10)
)
Insert INTO #storeB VALUES ('B', 11, '14.23', '18.36', '18.22', 'Yes', NULL, NULL),('B', 13, '110.23', '181.36', '183.22', NULL, NULL, NULL),('B', 52, '124.23', '182.36', '183.22', NULL, 'Yes', NULL)
Create Table #storeC
(
storeID varchar(100)
,employeeid int
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,gsmapproval varchar(10)
,BDSMapproval varchar(10)
,RSMapproval varchar(10)
)
Insert INTO #storeC VALUES ('C', 6, '14.23', '18.36', '18.22', NULL, NULL, 'Yes'),('C', 4, '110.23', '181.36', '183.22', NULL, NULL, NULL),('C', 5, '124.23', '182.36', '183.22', NULL, 'Yes', NULL)
Create Table #storeD
(
storeID varchar(100)
,employeeid int
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,gsmapproval varchar(10)
,BDSMapproval varchar(10)
,RSMapproval varchar(10)
)
Insert INTO #storeD VALUES ('D', '116', '14.23', '18.36', '18.22', 'Yes', 'Yes', 'Yes'),('D', '143', '10.23', '81.36', '18.22', 'Yes', NULL, 'Yes'),('D', '155', '12.23', '1.36', '183.22', 'Yes', NULL, NULL)
Create Table #FullOnFrontalData
(
storename varchar(100)
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,evaluated varchar(10)
)
Insert Into #FullOnFrontalData (storename)
Select storename
FROM #storeinformation
Where storetype = 'Corner'
Declare @storecount int, @dbname varchar(100)
Set @storecount = (Select Count(*) from #FullOnFrontalData)
while @storecount > 0
BEGIN
Set @dbname = (Select Top 1 storename from #FullOnFrontalData where evaluated is null)
EXEC('Update #FullOnFrontalData
Set tobaccosales = (Select SUM(tobaccosales) FROM '+@dbname))
EXEC('Update #FullOnFrontalData
foodsales = (Select SUM(foodsales) FROM '+@dbname))
EXEC('Update #FullOnFrontalData
lotterysales = (Select SUM(lotterysales) FROM '+@dbname))
update #FullOnFrontalData
set evaluated = 1
where storename = @dbname
set @storecount = @storecount - 1
END
Select * from #FullOnFrontalData
答案 0 :(得分:0)
而不是等等,你可以用一个更新语句来做。
insert into #FullOnFrontalData
select Sinf.storeid, tab, fod, lott, 1 from (
select storeid, sum(tobaccosales) tab , sum(foodsales) fod, sum(lotterysales) lott
from #storeA
group by storeid
union all
select storeid, sum(tobaccosales) , sum(foodsales), sum(lotterysales)
from #storeB
group by storeid
union all
select storeid, sum(tobaccosales) , sum(foodsales), sum(lotterysales)
from #storeC
group by storeid
union all
select storeid, sum(tobaccosales) , sum(foodsales), sum(lotterysales)
from #storeD
group by storeid ) SInv
join #storeinformation SInf
on Sinv.storeid = Sinf.storename and
Sinf.storetype = 'Corner'
完整版本如下:
Create Table #storeinformation
(
storeID int IDENTITY(1,1) PRIMARY KEY
,storename varchar(150)
,storetype varchar(150)
)
Insert INTO #storeinformation Values ('A', 'Corner'), ('B', 'Strip Mall'), ('C', 'Corner'), ('D', 'Corner')
Create Table #storeA
(
storeID varchar(100)
,employeeid int
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,gsmapproval varchar(10)
,BDSMapproval varchar(10)
,RSMapproval varchar(10)
)
Insert INTO #storeA VALUES ('A', 16, '14.23', '18.36', '18.22', NULL, NULL, NULL),('A', 43, '110.23', '181.36', '183.22', NULL, NULL, NULL),('A', 55, '124.23', '182.36', '183.22', 'Yes', 'Yes', 'Yes')
Create Table #storeB
(
storeID varchar(100)
,employeeid int
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,gsmapproval varchar(10)
,BDSMapproval varchar(10)
,RSMapproval varchar(10)
)
Insert INTO #storeB VALUES ('B', 11, '14.23', '18.36', '18.22', 'Yes', NULL, NULL),('B', 13, '110.23', '181.36', '183.22', NULL, NULL, NULL),('B', 52, '124.23', '182.36', '183.22', NULL, 'Yes', NULL)
Create Table #storeC
(
storeID varchar(100)
,employeeid int
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,gsmapproval varchar(10)
,BDSMapproval varchar(10)
,RSMapproval varchar(10)
)
Insert INTO #storeC VALUES ('C', 6, '14.23', '18.36', '18.22', NULL, NULL, 'Yes'),('C', 4, '110.23', '181.36', '183.22', NULL, NULL, NULL),('C', 5, '124.23', '182.36', '183.22', NULL, 'Yes', NULL)
Create Table #storeD
(
storeID varchar(100)
,employeeid int
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,gsmapproval varchar(10)
,BDSMapproval varchar(10)
,RSMapproval varchar(10)
)
Insert INTO #storeD VALUES ('D', '116', '14.23', '18.36', '18.22', 'Yes', 'Yes', 'Yes'),('D', '143', '10.23', '81.36', '18.22', 'Yes', NULL, 'Yes'),('D', '155', '12.23', '1.36', '183.22', 'Yes', NULL, NULL)
Create Table #FullOnFrontalData
(
storename varchar(100)
,tobaccosales decimal(16,4)
,foodsales decimal(16,4)
,lotterysales decimal(16,4)
,evaluated varchar(10)
)
insert into #FullOnFrontalData
select Sinf.storeid, tab, fod, lott, 1 from (
select storeid, sum(tobaccosales) tab , sum(foodsales) fod, sum(lotterysales) lott
from #storeA
group by storeid
union all
select storeid, sum(tobaccosales) , sum(foodsales), sum(lotterysales)
from #storeB
group by storeid
union all
select storeid, sum(tobaccosales) , sum(foodsales), sum(lotterysales)
from #storeC
group by storeid
union all
select storeid, sum(tobaccosales) , sum(foodsales), sum(lotterysales)
from #storeD
group by storeid ) SInv
join #storeinformation SInf
on Sinv.storeid = Sinf.storename and
Sinf.storetype = 'Corner'