自动创建临时表，并给临时表添加一个自动增长的行号字段

create table #pageindex(id int identity(1,1) not null,nid int)
set rowcount @PageUpperBound
--读取符合记录的id放到临时表中
INSERT INTO #pageindex(nid)
SELECT C.ConID
FROM tbl_EmpContract as C INNER JOIN
tbl_Employee as E ON
C.EmpID = E.EmpID INNER JOIN
tbl_DepartmtList as D ON E.DepID = D.DepID
where
(C.ConState = '未审核')

select IDENTITY(int, 1,1) AS ID_Num,gdsid,ordersn into #gds_day_sell_temp
from gds_day_sell

select * from #gds_day_sell_temp

还可以这样写：ID_Num = IDENTITY(int, 1, 1)

也可以是其他类型：
IDENTITY(smallint, 100, 1) AS job_num

加上这个 去掉 重复
FROM (Select TOP 100 Percent * FROM [BarginSaleArea] ) [BarginSaleArea]

新写sql server的分页sql如下:
declare @PageLowerBound int
declare @PageUpperBound int
set @PageLowerBound=(@pageindex-1)*@pagesize
set @PageUpperBound=@PageLowerBound+@pagesize
set rowcount @PageUpperBound
SELECT IDENTITY(int, 1,1) AS id,g.gdsmst_gdsid as nid into #pageindex
FROM tbl_EmpContract as C INNER JOIN
tbl_Employee as E ON
C.EmpID = E.EmpID INNER JOIN
tbl_DepartmtList as D ON E.DepID = D.DepID
where
(C.ConState = '未审核')
-- and (E.EmpState = '在岗')
AND (D.DepSN LIKE @DepSN+'%')
AND (E.EmpName LIKE '%'+@EmpName+'%')--查询
AND (E.EmpIDSN LIKE '%'+@EmpIDSN+'%')--查询
AND (D.DepName LIKE '%'+@DepName+'%')--查询
--读取记录完结
SELECT
C.ConID,
C.ConName,
C.ConNumber,
C.ConState,
C.ConKinds,
C.ConBeginDate,
C.ConEndDate,
C.ConSignCompany,
C.ConSignDate,
C.ConTemplet,
C.ConTryWorkDate,
C.ConExeg,
E.EmpIDSN,
E.EmpName,
dbo.GetDepAllName(E.DepID) as DepName,
E.EmpSex,
E.EmpBirthday,
E.EmpFunction,
D.DepSN,
cast(datediff(yy,E.EmpBirthday,getDate())+1 as int) EmpAge,
C.ConSort
FROM tbl_EmpContract as C INNER JOIN
tbl_Employee as E ON
C.EmpID = E.EmpID INNER JOIN
tbl_DepartmtList as D ON E.DepID = D.DepID,#pageindex as p
where (C.ConID = p.nid)
and (p.id>@PageLowerBound)
and (p.id<=@PageUpperBound)
order by p.id
END
SET NOCOUNT OFF
GO

GROUP BY 的几种用法

Group by 是SQL Server 中常用的一种语法，语法如下：

[ GROUP BY [ ALL ] group_by_expression [ ,...n ]
[ WITH { CUBE | ROLLUP } ]
]

1、最常用的就是这种语法，如下：

Select CategoryID, AVG(UnitPrice), COUNT(UnitPrice)
FROM dbo.Products Where UnitPrice > 30
GROUP BY CategoryID
ORDER BY CategoryID DESC

这个语句查询出，所有产品分类的产品平均单价，单价计数。并且单价在 30 以上的记录。

2、再看看这种语法，如下：

Select CategoryID, AVG(DISTINCT UnitPrice), COUNT(DISTINCT UnitPrice)
FROM dbo.Products Where UnitPrice > 30
GROUP BY CategoryID
ORDER BY CategoryID DESC

使用 DISTINCT 的时候，将会去除重复的价格平均单价。

[code]3、如果希望在分类统计之后，再使用条件过滤，下面的语句可以做为参数：

Select CategoryID, SUM(UnitPrice) AS SumPrice
FROM dbo.Products
GROUP BY CategoryID
HAVING SUM(UnitPrice) > 300

HAVING 与 Where 语句类似，Where 是在分类之前过滤，而 HAVING 是在分类之后过滤。
它和 Where 一样使用 AND、OR、NOT、LIKE 组合使用。

[/code]

4、如果希望再在分类统计中，添加汇总行，可以使用以下语句：

Select CategoryID, SUM(UnitPrice), GROUPING(CategoryID) AS 'Grouping'
FROM dbo.Products
GROUP BY CategoryID WITH ROLLUP

Grouping 这一列用于标识出哪一行是汇总行。
它使用 ROLLUP 操作添加汇总行。

5、如果使用 WITH CUBE 将会产生一个多维分类数据集，如下：

Select CategoryID, SupplierID, SUM(UnitPrice) AS SumPrice
FROM dbo.Products
GROUP BY CategoryID, SupplierID WITH CUBE

它会产生一个交叉表，产生所有可能的组合汇总。

6、使用 ROLLUP CUBE 会产生一个 NULL 空值，可以使用以下语法解决，如下：

[code]Select CASE WHEN (GROUPING(SupplierID) = 1) THEN '-1'
ELSE SupplierID
END AS SupplierID,
SUM(UnitPrice) AS QtySum
FROM dbo.Products
GROUP BY SupplierID WITH CUBE

它首先检查当前行是否为汇总行，如果是就可以设置一个值，这里设置为 '-1' 。

[/code]