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高效的SQLSERVER分页查询(推荐)

时间:2015-01-05 06:59:32      阅读:257      评论:0      收藏:0      [点我收藏+]

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Sqlserver数据库分页查询一直是Sqlserver的短板,闲来无事,想出几种方法,假设有表ARTICLE,字段ID、YEAR...(其他省略),数据53210条(客户真实数据,量不大),分页查询每页30条,查询第1500页(即第45001-45030条数据),字段ID聚集索引,YEAR无索引,Sqlserver版本:2008R2
 
 

第一种方案、最简单、普通的方法:

 

代码如下:
  1. SELECT TOP 30 * FROM ARTICLE WHERE ID NOT IN(SELECT TOP 45000 ID FROM ARTICLE ORDER BY YEAR DESC, ID DESC) ORDER BY YEAR DESC,ID DESC 
SELECT TOP 30 * FROM ARTICLE WHERE ID NOT IN(SELECT TOP 45000 ID FROM ARTICLE ORDER BY YEAR DESC, ID DESC) ORDER BY YEAR DESC,ID DESC

     平均查询100次所需时间:45s

第二种方案:

 

代码如下:
  1. SELECT * FROM (  SELECT TOP 30 * FROM (SELECT TOP 45030 * FROM ARTICLE ORDER BY YEAR DESC, ID DESC) f ORDER BY f.YEAR ASC, f.ID DESC) s ORDER BY s.YEAR DESC,s.ID DESC  
SELECT * FROM (  SELECT TOP 30 * FROM (SELECT TOP 45030 * FROM ARTICLE ORDER BY YEAR DESC, ID DESC) f ORDER BY f.YEAR ASC, f.ID DESC) s ORDER BY s.YEAR DESC,s.ID DESC 

 

     平均查询100次所需时间:138S

第三种方案:

 

代码如下:
  1. SELECT * FROM ARTICLE w1,  
  2.     SELECT TOP 30 ID FROM  
  3.     ( 
  4.         SELECT TOP 50030 ID, YEAR FROM ARTICLE ORDER BY YEAR DESC, ID DESC 
  5.     ) w ORDER BY w.YEAR ASC, w.ID ASC 
  6. ) w2 WHERE w1.ID = w2.ID ORDER BY w1.YEAR DESC, w1.ID DESC 
SELECT * FROM ARTICLE w1, 
(
    SELECT TOP 30 ID FROM 
    (
        SELECT TOP 50030 ID, YEAR FROM ARTICLE ORDER BY YEAR DESC, ID DESC
    ) w ORDER BY w.YEAR ASC, w.ID ASC
) w2 WHERE w1.ID = w2.ID ORDER BY w1.YEAR DESC, w1.ID DESC

 

     平均查询100次所需时间:21S

第四种方案:

代码如下:
  1. SELECT * FROM ARTICLE w1  
  2.     WHERE ID in  
  3.         ( 
  4.             SELECT top 30 ID FROM  
  5.             ( 
  6.                 SELECT top 45030 ID, YEAR FROM ARTICLE ORDER BY YEAR DESC, ID DESC 
  7.             ) w ORDER BY w.YEAR ASC, w.ID ASC 
  8.         )  
  9.     ORDER BY w1.YEAR DESC, w1.ID DESC 
SELECT * FROM ARTICLE w1 
    WHERE ID in 
        (
            SELECT top 30 ID FROM 
            (
                SELECT top 45030 ID, YEAR FROM ARTICLE ORDER BY YEAR DESC, ID DESC
            ) w ORDER BY w.YEAR ASC, w.ID ASC
        ) 
    ORDER BY w1.YEAR DESC, w1.ID DESC

 

     平均查询100次所需时间:20S

第五种方案:

 

代码如下:
  1. SELECT w2.n, w1.* FROM ARTICLE w1, (  SELECT TOP 50030 row_number() OVER (ORDER BY YEAR DESC, ID DESC) n, ID FROM ARTICLE ) w2 WHERE w1.ID = w2.ID AND w2.n > 50000 ORDER BY w2.n ASC  
SELECT w2.n, w1.* FROM ARTICLE w1, (  SELECT TOP 50030 row_number() OVER (ORDER BY YEAR DESC, ID DESC) n, ID FROM ARTICLE ) w2 WHERE w1.ID = w2.ID AND w2.n > 50000 ORDER BY w2.n ASC 

 

     平均查询100次所需时间:15S

查询第1000-1030条记录

第一种方案:

 

代码如下:
  1. SELECT TOP 30 * FROM ARTICLE WHERE ID NOT IN(SELECT TOP 1000 ID FROM ARTICLE ORDER BY YEAR DESC, ID DESC) ORDER BY YEAR DESC,ID DESC  
SELECT TOP 30 * FROM ARTICLE WHERE ID NOT IN(SELECT TOP 1000 ID FROM ARTICLE ORDER BY YEAR DESC, ID DESC) ORDER BY YEAR DESC,ID DESC 

 

     平均查询100次所需时间:80s

第二种方案:

代码如下:
  1. SELECT * FROM  (   SELECT TOP 30 * FROM (SELECT TOP 1030 * FROM ARTICLE ORDER BY YEAR DESC, ID DESC) f ORDER BY f.YEAR ASC, f.ID DESC) s ORDER BY s.YEAR DESC,s.ID DESC  
SELECT * FROM  (   SELECT TOP 30 * FROM (SELECT TOP 1030 * FROM ARTICLE ORDER BY YEAR DESC, ID DESC) f ORDER BY f.YEAR ASC, f.ID DESC) s ORDER BY s.YEAR DESC,s.ID DESC 

 

     平均查询100次所需时间:30S

第三种方案:

 

代码如下:
  1. SELECT * FROM ARTICLE w1,  
  2.     SELECT TOP 30 ID FROM  
  3.     ( 
  4.         SELECT TOP 1030 ID, YEAR FROM ARTICLE ORDER BY YEAR DESC, ID DESC 
  5.     ) w ORDER BY w.YEAR ASC, w.ID ASC 
  6. ) w2 WHERE w1.ID = w2.ID ORDER BY w1.YEAR DESC, w1.ID DESC 
SELECT * FROM ARTICLE w1, 
(
    SELECT TOP 30 ID FROM 
    (
        SELECT TOP 1030 ID, YEAR FROM ARTICLE ORDER BY YEAR DESC, ID DESC
    ) w ORDER BY w.YEAR ASC, w.ID ASC
) w2 WHERE w1.ID = w2.ID ORDER BY w1.YEAR DESC, w1.ID DESC

 

     平均查询100次所需时间:12S

第四种方案:

 

代码如下:
  1. SELECT * FROM ARTICLE w1  
  2.     WHERE ID in  
  3.         ( 
  4.             SELECT top 30 ID FROM  
  5.             ( 
  6.                 SELECT top 1030 ID, YEAR FROM ARTICLE ORDER BY YEAR DESC, ID DESC 
  7.             ) w ORDER BY w.YEAR ASC, w.ID ASC 
  8.         )  
  9.     ORDER BY w1.YEAR DESC, w1.ID DESC 
SELECT * FROM ARTICLE w1 
    WHERE ID in 
        (
            SELECT top 30 ID FROM 
            (
                SELECT top 1030 ID, YEAR FROM ARTICLE ORDER BY YEAR DESC, ID DESC
            ) w ORDER BY w.YEAR ASC, w.ID ASC
        ) 
    ORDER BY w1.YEAR DESC, w1.ID DESC

     平均查询100次所需时间:13S

第五种方案:

代码如下:
  1. SELECT w2.n, w1.* FROM ARTICLE w1,(   SELECT TOP 1030 row_number() OVER (ORDER BY YEAR DESC, ID DESC) n, ID FROM ARTICLE) w2 WHERE w1.ID = w2.ID AND w2.n > 1000 ORDER BY w2.n ASC  
SELECT w2.n, w1.* FROM ARTICLE w1,(   SELECT TOP 1030 row_number() OVER (ORDER BY YEAR DESC, ID DESC) n, ID FROM ARTICLE) w2 WHERE w1.ID = w2.ID AND w2.n > 1000 ORDER BY w2.n ASC 

 

     平均查询100次所需时间:14S

     由此可见在查询页数靠前时,效率3>4>5>2>1,页码靠后时5>4>3>1>2,再根据用户习惯,一般用户的检索只看最前面几页,因此选择3 4 5方案均可,若综合考虑方案5是最好的选择,但是要注意SQL2000不支持row_number()函数,由于时间和条件的限制没有做更深入、范围更广的测试,有兴趣的可以仔细研究下。

以下是根据第四种方案编写的一个分页存储过程:

 

代码如下:

 

  1. if exists (select * from dbo.sysobjects where id = object_id(N‘[dbo].[sys_Page_v2]‘) and OBJECTPROPERTY(id, N‘IsProcedure‘) = 1) 
  2. drop procedure [dbo].[sys_Page_v2] 
  3. GO 
  4. CREATE PROCEDURE [dbo].[sys_Page_v2] 
  5. @PCount int output,    --总页数输出 
  6. @RCount int output,    --总记录数输出 
  7. @sys_Table nvarchar(100),    --查询表名 
  8. @sys_Key varchar(50),        --主键 
  9. @sys_Fields nvarchar(500),    --查询字段 
  10. @sys_Where nvarchar(3000),    --查询条件 
  11. @sys_Order nvarchar(100),    --排序字段 
  12. @sys_Begin int,        --开始位置 
  13. @sys_PageIndex int,        --当前页数 
  14. @sys_PageSize int        --页大小 
  15. AS 
  16. SET NOCOUNT ON 
  17. SET ANSI_WARNINGS ON 
  18. IF @sys_PageSize < 0 OR @sys_PageIndex < 0 
  19. BEGIN         
  20. RETURN 
  21. END 
  22. DECLARE @new_where1 NVARCHAR(3000) 
  23. DECLARE @new_order1 NVARCHAR(100) 
  24. DECLARE @new_order2 NVARCHAR(100) 
  25. DECLARE @Sql NVARCHAR(4000) 
  26. DECLARE @SqlCount NVARCHAR(4000) 
  27. DECLARE @Top int 
  28. if(@sys_Begin <=0) 
  29.     set @sys_Begin=0 
  30. else 
  31.     set @sys_Begin=@sys_Begin-1 
  32. IF ISNULL(@sys_Where,‘‘) = ‘‘ 
  33.     SET @new_where1 = ‘ ‘ 
  34. ELSE 
  35.     SET @new_where1 = ‘ WHERE ‘ + @sys_Where 
  36. IF ISNULL(@sys_Order,‘‘) <> ‘‘  
  37. BEGIN 
  38.     SET @new_order1 = ‘ ORDER BY ‘ + Replace(@sys_Order,‘desc‘,‘‘) 
  39.     SET @new_order1 = Replace(@new_order1,‘asc‘,‘desc‘) 
  40.     SET @new_order2 = ‘ ORDER BY ‘ + @sys_Order 
  41. END 
  42. ELSE 
  43. BEGIN 
  44.     SET @new_order1 = ‘ ORDER BY ID DESC‘ 
  45.     SET @new_order2 = ‘ ORDER BY ID ASC‘ 
  46. END 
  47. SET @SqlCount = ‘SELECT @RCount=COUNT(1),@PCount=CEILING((COUNT(1)+0.0)/‘ 
  48.             + CAST(@sys_PageSize AS NVARCHAR)+‘) FROM ‘ + @sys_Table + @new_where1 
  49. EXEC SP_EXECUTESQL @SqlCount,N‘@RCount INT OUTPUT,@PCount INT OUTPUT‘, 
  50.                @RCount OUTPUT,@PCount OUTPUT 
  51. IF @sys_PageIndex > CEILING((@RCount+0.0)/@sys_PageSize)    --如果输入的当前页数大于实际总页数,则把实际总页数赋值给当前页数 
  52. BEGIN 
  53.     SET @sys_PageIndex =  CEILING((@RCount+0.0)/@sys_PageSize) 
  54. END 
  55. set @sql = ‘select ‘+ @sys_fields +‘ from ‘ + @sys_Table + ‘ w1 ‘ 
  56.     + ‘ where ‘+ @sys_Key +‘ in (‘ 
  57.         +‘select top ‘+ ltrim(str(@sys_PageSize)) +‘ ‘ + @sys_Key + ‘ from ‘ 
  58.         +‘(‘ 
  59.             +‘select top ‘ + ltrim(STR(@sys_PageSize * @sys_PageIndex + @sys_Begin)) + ‘ ‘ + @sys_Key + ‘ FROM ‘ 
  60.         + @sys_Table + @new_where1 + @new_order2  
  61.         +‘) w ‘ + @new_order1 
  62.     +‘) ‘ + @new_order2 
  63. print(@sql) 
  64. Exec(@sql) 
  65. GO 

高效的SQLSERVER分页查询(推荐)

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原文地址:http://www.cnblogs.com/zxktxj/p/4202645.html

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