SELECT * INTO XLImport4 FROM OPENROWSET('Microsoft.Jet.OLEDB.4.0','Excel 5.0;Database=E:\Temp.xls', [Temp$])

方法三：

SELECT * INTO XLImport5 FROM OPENROWSET('Microsoft.Jet.OLEDB.4.0','Excel 5.0;Database=E:\Temp.xls', 'SELECT * FROM [Temp$]')
--像這個表裡面繼續添加記錄
INSERT INTO XLImport5
SELECT * FROM OPENROWSET('Microsoft.Jet.OLEDB.4.0','Excel 5.0;Database=E:\Temp.xls', 'SELECT * FROM [Temp$]')

SELECT * FROM XLImport5

DROP TABLE XLImport3
DROP TABLE XLImport4
DROP TABLE XLImport5

[Temp$]指的時候你的Excel表格裡面的Sheet名稱，記得美元符合是後面加上去的，是必須要加的，如果你的Excel是8.0的，只需要Excel 5.0即可。

      -- 给你一个测试方法，从northwind中的orders表取数据。
       select * into n1 from orders
       select * into n2 from orders
 
       select * from n1
       select * from n2
 
       --添加主键，然后修改n1中若干字段的若干条
       alter table n1 add constraint pk_n1_id primary key (OrderID)
       alter table n2 add constraint pk_n2_id primary key (OrderID)
 
       select OrderID from (select * from n1 union select * from n2) a group by OrderID having count(*) > 1
 
      /* 应该可以，而且将不同的记录的ID显示出来。下面的适用于双方记录一样的情况，*/
 
       select * from n1 where orderid in (select OrderID from (select * from n1 union select * from n2) a group by OrderID having count(*) > 1)
 -- 至于双方互不存在的记录是比较好处理的
 --删除n1,n2中若干条记录
       delete from n1 where orderID in ('10728','10730')
       delete from n2 where orderID in ('11000','11001')
 
       --*************************************************************
       -- 双方都有该记录却不完全相同
       select * from n1 where orderid in(select OrderID from (select * from n1 union select * from n2) a group by OrderID having count(*) > 1)
       union
       --n2中存在但在n1中不存的在10728,10730
       select * from n1 where OrderID not in (select OrderID from n2)
       union
       --n1中存在但在n2中不存的在11000,11001
       select * from n2 where OrderID not in (select OrderID from n1)

DROP TABLE Test
create table Test(Name varchar(10),Subject Varchar(10),Result int)
insert Test
select '張三','語文',80 union all
select '張三','數學',90 union all
select '張三','物理',85 union all
select '李四','語文',85 union all
select '李四','數學',92 union all
select '李四','物理',82
go

SELECT * FROM Test
 
--用於多行的轉換
declare @sql varchar(4000)
set @sql = 'select Name'
select @sql = @sql + ',sum(case Subject when '''+Subject+''' then Result end) ['+Subject+']'
from (select distinct Subject from test) as a
select @sql = @sql+' from test group by name'
       exec(@sql)

--如果行數少這個看起來更加明瞭
select Name as 姓名,
 sum(case Subject when '數學' then Result end) [數學],
 sum(case Subject when '物理' then Result end) [物理],
 sum(case Subject when '語文' then Result end) [語文]
from Test group by name

我以前面試的時候考試過這種類似的題，也是我們在編程開發過程中經常遇到的一種常見題，我的分析希望對大家有幫助。