sqlserver 高效分页查询
常见数据库的分页实现方案 随着数据库的发展,如今的数据库可以储存大量的数据,内存也是越来越大,但是无论您的内存多大,内存总是显得不够用,这时就要涉及到分页,下文中将为大家带来详细的数据库分页操作。 1.Oracle: select * from ( select row_.*,rownum rownum_ from ( query_SQL ) row_ where rownum =< max) where rownum_ >= min 2.SQL Server: select top @pagesize * from tablename where id not in (select top @pagesize*(@page-1) id from tablename order by id) order by id 3.MySQL select * from tablename limit position,counter 4.DB2 select * from (select *,rownumber() as ROW_NEXT from tablename) where ROW_NEXT between min and max 分页方案一:(利用Not In和SELECT TOP分页)效率次之 语句形式: SELECT TOP 10 * FROM TestTable WHERE (ID NOT IN (SELECT TOP 20? id FROM? TestTable? ORDERBY? id))?? ORDERBYID SELECT? TOP 页大小 * FROM TestTable WHERE( ID NOT IN (SELECT? TOP ?每页大小*(待查询页数-1)? id? FROM? 表 ORDERBY? id)) ORDERBYID 思路:先查询出待查询页之前的全部条数的id,查询ID不在这些ID中的指定数量条数。 分页方案二:(利用ID大于多少和SELECT TOP分页)效率最高 语句形式: SELECT? TOP? 10 *?? FROM? TestTable WHERE(ID>(SELECT MAX(id) FROM(SELECT TOP20 id? FROM? TestTable ORDERBYid) AS T))ORDERBY ID SELECT? TOP? 页大小* FROM? TestTable WHERE(ID>(SELECT MAX(id) FROM(SELECT TOP 每页大小*待查询页数-1? id FROM 表 ?ORDERBY id)AS T)) ORDERBY ID 思路:先获得待查询页的之前全部条数id,获得它们当中最大的ID号,以此最大ID号为标志,查找比这个ID号大的指定条数。 分页方案三: SELECT TOP PageSize * FROM (SELECT TOP nPage*PageSize * from YOURTABLE order by id) as a order by id desc SELECT TOP 每页条数 * FROM (SELECT TOP 待查询页*每页条数) * from YOURTABLE order by id)as a order by id desc 思路:先正排序查询出待查询页之前(包括当前页)的全部条数,然后将其倒排序,取指定条数。 专用于SqlServer2005的高效分页存储过程 ? 方案四: |