四种sql server 数据库分页的测试

SET statistics io on
SET STATISTICS TIME ON
GO

 

View Code

-- --1
PRINT   ' fist begin '
DECLARE   @time   DATETIME
DECLARE   @ms   int
SET   @time   = GETDATE ()
SELECT   *   FROM  Client.client  AS  c
INNER   JOIN
(
SELECT  RowNum, ClientID  FROM
 (
   SELECT  ROW_NUMBER() OVER ( ORDER   by  ClientID  ASC )  AS  RowNum ,ClientID  FROM  client.client
 )  AS  cc
WHERE  cc.RowNum  between   10000   and   10500
) AS  t
ON  c.ClientID  =  t.ClientID
SET   @ms   =   DATEDIFF (MS, @time , GETDATE ())
PRINT   @ms
PRINT   ' fist end '
GO

 

方法2

-- --2
PRINT   ' second begin '
DECLARE   @time   DATETIME
DECLARE   @ms   int
SET   @time   = GETDATE ()
SELECT   *   FROM  
(
  SELECT  ROW_NUMBER() OVER ( ORDER   by  ClientID  ASC )  AS  RowNum , *   FROM  client.client
) 
AS  c  WHERE  c.RowNum  BETWEEN   10000   AND   10500
SET   @ms   =   DATEDIFF (MS, @time , GETDATE ())
PRINT   @ms
PRINT   ' second end '
GO

 

 

方法3

-- 3

PRINT   ' third begin '
DECLARE   @time   DATETIME
DECLARE   @ms   int
SET   @time   = GETDATE ()
SELECT   TOP ( 500 )  *   FROM  Client.Client
WHERE  ClientID  NOT   IN ( SELECT   TOP   9999  ClientID  FROM  Client.Client)

SET   @ms   =   DATEDIFF (MS, @time , GETDATE ())
PRINT   @ms
PRINT   ' third end '
GO

 

 

方法4

PRINT   ' fourth begin '
DECLARE   @time   DATETIME
DECLARE   @ms   int
SET   @time   = GETDATE ()
SELECT   TOP ( 500 )  *   FROM  Client.Client
WHERE  ClientID  >  ( SELECT   MAX (ClientID)  FROM
( SELECT   top   9999  ClientID  FROM  Client.Client  ORDER   BY  ClientID)  as  c )

SET   @ms   =   DATEDIFF (MS, @time , GETDATE ())
PRINT   @ms
PRINT   ' fourth end '
GO

 

fist begin

(501 row(s) affected)
Table 'Client'. Scan count 1, logical reads 2658, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

(1 row(s) affected)

 SQL Server Execution Times:
   CPU time = 31 ms,  elapsed time = 218 ms.

 SQL Server Execution Times:
   CPU time = 0 ms,  elapsed time = 0 ms.
220

fist end

second begin

(501 row(s) affected)
Table 'Client'. Scan count 1, logical reads 1155, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

(1 row(s) affected)

 SQL Server Execution Times:
   CPU time = 16 ms,  elapsed time = 158 ms.
156

second end

third begin

(500 row(s) affected)
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Client'. Scan count 2, logical reads 1166, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

(1 row(s) affected)

 SQL Server Execution Times:
   CPU time = 47 ms,  elapsed time = 140 ms.
140
third end

 

fourth begin

(500 row(s) affected)
Table 'Client'. Scan count 2, logical reads 1166, physical reads 0, read-ahead reads 6, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

(1 row(s) affected)

 SQL Server Execution Times:
   CPU time = 16 ms,  elapsed time = 230 ms.

230

fourth end

 

 

 

数据量 6w

个人测试结果

SCAN count:4=3>1=2       3为2，其他为1

logical reads ：2>3=4>1 (2658>1166>1155)

 实际 time:4〉1>2>3   和执行顺序有关

理论 time：2〉3>4〉1 ??????? 

大数据量没测试。

估计是数据量的问题， 大数据的时候应该差别挺大的。 有兴趣的可以测试一下。

请提个建议。。。