CREATE view vw_sppb_part_listsource as 
    select row_number() over (partition by sppb_part.init_id order by sppb_part.sppb_part_id asc ) as idx, * from (
      select 
          part.SPPB_PART_ID
          , 0 as is_rev
          , part.part_number 
          , part.init_id 
      from t_sppb_init_part part 
      left join t_sppb_init_partrev prev on ( part.SPPB_PART_ID = prev.SPPB_PART_ID )
      where prev.SPPB_PART_ID is null 
      union 
      select 
          part.SPPB_PART_ID
          , 1 as is_rev
          , prev.part_number 
          , part.init_id 
      from t_sppb_init_part part 
      inner join t_sppb_init_partrev prev on ( part.SPPB_PART_ID = prev.SPPB_PART_ID )
    ) sppb_part

当涉及到不同的init_id时会重新启动idx吗

好吧，我已经在我的SQL 2000数据库中使用了以下示例查询，它也适用于SQL 2005。它通过使用多个列来动态排序。 我告诉你……这是强大的:)

    ALTER PROCEDURE [dbo].[RE_ListingReports_SelectSummary] 

@CompanyID  int,
@pageNumber     int,
@pageSize   int, 
@sort       varchar(200)
AS

DECLARE @sql nvarchar(4000)
DECLARE @strPageSize nvarchar(20)
DECLARE @strSkippedRows nvarchar(20)
DECLARE @strFields nvarchar(4000)
DECLARE @strFilter nvarchar(4000)
DECLARE @sortBy nvarchar(4000)
DECLARE @strFrom nvarchar(4000)
DECLARE @strID nvarchar(100)

If(@pageNumber < 0)
  SET @pageNumber = 1
SET @strPageSize = CAST(@pageSize AS varchar(20)) 
SET @strSkippedRows = CAST(((@pageNumber - 1) * @pageSize) AS varchar(20))-- For    example if pageNumber is 5  pageSize is 10, then SkippedRows = 40.
SET @strID = 'ListingDbID'
SET @strFields = 'ListingDbID,
ListingID,  
[ExtraRoom]
'
SET @strFrom = ' vwListingSummary '

SET @strFilter = ' WHERE
        CompanyID = ' + CAST(@CompanyID As varchar(20)) 
End
SET @sortBy = ''
if(len(ltrim(rtrim(@sort))) > 0)
SET @sortBy = ' Order By ' + @sort

-- Total Rows Count

SET @sql =  'SELECT Count(' + @strID + ')  FROM ' + @strFROM + @strFilter
EXEC sp_executesql @sql

--// This technique is used in a Single Table pagination
SET @sql = 'SELECT ' + @strFields + ' FROM ' + @strFROM +
    ' WHERE ' + @strID +  ' IN ' + 
   '  (SELECT TOP ' + @strPageSize + ' ' + @strID + ' FROM ' + @strFROM + @strFilter + 
             ' AND  ' + @strID + ' NOT IN ' + '
          (SELECT TOP ' + @strSkippedRows + ' ' + @strID + ' FROM ' + @strFROM + @strFilter + @SortBy + ') ' 
   + @SortBy + ') ' + @SortBy
Print @sql 
EXEC sp_executesql @sql

最好的部分是sp_executesql缓存以后的调用，只要您传递相同的参数，即生成相同的sql文本。

在SQL Server 2012中，我们可以使用OFFSET和FETCH NEXT子句来实现分页。

试试这个，SQL Server:

In the SQL Server 2012 a new feature was added in the ORDER BY clause, to query optimization of a set data, making work easier with data paging for anyone who writes in T-SQL as well for the entire Execution Plan in SQL Server. Below the T-SQL script with the same logic used in the previous example. --CREATING A PAGING WITH OFFSET and FETCH clauses IN "SQL SERVER 2012" DECLARE @PageNumber AS INT, @RowspPage AS INT SET @PageNumber = 2 SET @RowspPage = 10 SELECT ID_EXAMPLE, NM_EXAMPLE, DT_CREATE FROM TB_EXAMPLE ORDER BY ID_EXAMPLE OFFSET ((@PageNumber - 1) * @RowspPage) ROWS FETCH NEXT @RowspPage ROWS ONLY;

使用SQL Server对查询进行分页

获取结果总数和分页是两个不同的操作。对于这个示例，让我们假设您正在处理的查询是

SELECT * FROM Orders WHERE OrderDate >= '1980-01-01' ORDER BY OrderDate

在这种情况下，您将使用以下命令确定结果的总数:

SELECT COUNT(*) FROM Orders WHERE OrderDate >= '1980-01-01'

.．.这可能看起来效率很低，但实际上性能很好，假设所有索引等都正确设置。

接下来，要以分页方式返回实际结果，下面的查询将是最有效的:

SELECT  *
FROM    ( SELECT    ROW_NUMBER() OVER ( ORDER BY OrderDate ) AS RowNum, *
          FROM      Orders
          WHERE     OrderDate >= '1980-01-01'
        ) AS RowConstrainedResult
WHERE   RowNum >= 1
    AND RowNum < 20
ORDER BY RowNum

这将返回原始查询的第1-19行。这里很酷的事情是，尤其是对于web应用程序，你不需要保留任何状态，除了要返回的行号。

这是2012年老SO问题的重复: 实现分页的有效方法

从[TableX] ORDER BY [FieldX] 偏移量500行 只获取下100行

这里将更详细地讨论这个主题，并使用替代方法。

MSDN: ROW_NUMBER (Transact-SQL)

返回结果集中分区内某一行的顺序编号，每个分区中的第一行从1开始。 下面的示例按照OrderDate的顺序返回数字为50到60的行。

WITH OrderedOrders AS
(
    SELECT
        ROW_NUMBER() OVER(ORDER BY FirstName DESC) AS RowNumber, 
        FirstName, LastName, ROUND(SalesYTD,2,1) AS "Sales YTD"
    FROM [dbo].[vSalesPerson]
) 
SELECT RowNumber, 
    FirstName, LastName, Sales YTD 
FROM OrderedOrders 
WHERE RowNumber > 50 AND RowNumber < 60;

  RowNumber FirstName    LastName               SalesYTD
  --- -----------  ---------------------- -----------------
  1   Linda        Mitchell               4251368.54
  2   Jae          Pak                    4116871.22
  3   Michael      Blythe                 3763178.17
  4   Jillian      Carson                 3189418.36
  5   Ranjit       Varkey Chudukatil      3121616.32
  6   José         Saraiva                2604540.71
  7   Shu          Ito                    2458535.61
  8   Tsvi         Reiter                 2315185.61
  9   Rachel       Valdez                 1827066.71
  10  Tete         Mensa-Annan            1576562.19
  11  David        Campbell               1573012.93
  12  Garrett      Vargas                 1453719.46
  13  Lynn         Tsoflias               1421810.92
  14  Pamela       Ansman-Wolfe           1352577.13