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:
12 | select * from ( select row_.*, rownum rownum_ from ( query_SQL ) row_ where rownum =< max ) where rownum_ >= min |
2.SQL Server:
12 | 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
1 | select * from tablename limit position, counter |
4.DB2
12 | select * from ( select *,rownumber() as ROW_NEXT from tablename) where ROW_NEXT between min and max |
语句形式:
123456 | 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-1*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:
123456 | 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。
分页方案三:1234 | 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。
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