HackAge 2018-10-15
oracle的分页一共有三种方式,但在Oracle中实现分页的方法主要是用ROWNUM关键字和用ROWID关键字两种,下面介绍下:
“网上流传的名人名言80%以上都是假的”——亚拉伯罕·林肯
SELECT * FROM EMP WHERE ROWID IN (SELECT RID FROM (SELECT ROWNUM RN, RID FROM (SELECT ROWID RID, EMPNO FROM EMP ORDER BY EMPNO DESC) WHERE ROWNUM <= ( (currentPage-1) * pageSize + pageSize )) --每页显示几条 WHERE RN > ((currentPage-1) * pageSize) ) --当前页数 ORDER BY EMPNO DESC; eg、 -- 5 = (currentPage-1) * pageSize + pageSize 每页显示几条 -- 0 = (currentPage-1) * pageSize 当前页数 SELECT * FROM EMP WHERE ROWID IN (SELECT RID FROM (SELECT ROWNUM RN, RID FROM (SELECT ROWID RID, EMPNO FROM EMP ORDER BY EMPNO DESC) WHERE ROWNUM <= ( (1-1) * 5 + 5 )) --每页显示几条 WHERE RN > ((1-1) * 5) ) --当前页数 ORDER BY EMPNO DESC;
SELECT * FROM (SELECT T.*, ROW_NUMBER() OVER(ORDER BY empno DESC) RK FROM emp T) WHERE RK <= ( (currentPage-1) * pageSize + pageSize ) --每页显示几条 AND RK > ( (currentPage-1) * pageSize ); --当前页数 eg、 -- 5 = (currentPage-1) * pageSize + pageSize 每页显示几条 -- 0 = (currentPage-1) * pageSize 当前页数 SELECT * FROM (SELECT T.*, ROW_NUMBER() OVER(ORDER BY empno DESC) RK FROM emp T) WHERE RK <= 5 AND RK > 0;
SELECT * FROM (SELECT T.*, ROWNUM RN FROM (SELECT * FROM EMP ORDER BY EMPNO DESC) T WHERE ROWNUM <= ( (currentPage-1) * pageSize + pageSize )) --每页显示几条 WHERE RN > ( (currentPage-1) * pageSize ); --当前页数 eg、 -- 5 = (currentPage-1) * pageSize + pageSize 每页显示几条 -- 0 = (currentPage-1) * pageSize 当前页数 SELECT * FROM (SELECT T.*, ROWNUM RN FROM (SELECT * FROM EMP ORDER BY EMPNO DESC) T WHERE ROWNUM <= 5) WHERE RN > 0;
其中emp为表名称,empno 为表的主键id,获取按empno降序排序后的第1-5条记录,emp表有70000 多条记录。
个人感觉方法一的效率最好,方法三 次之,方法二 最差。
下面通过方法三来分析oracle怎么通过rownum分页的
1、SELECT * FROM emp;
2、显示rownum,由oracle分配的
--rn相当于Oracle分配的行的ID号
SELECT e.*, ROWNUM rn FROM (SELECT * FROM emp) e;
3、先查出1-10条记录
正确的: SELECT e.*, ROWNUM rn FROM (SELECT * FROM emp) e WHERE ROWNUM<=10;
错误的:SELECT e.*, ROWNUM rn FROM (SELECT * FROM emp) e WHERE rn<=10;
4、然后查出6-10条记录
SELECT * FROM (SELECT e.*, ROWNUM rn FROM (SELECT * FROM emp) e WHERE ROWNUM<=10) WHERE rn>=6;
在我们实际项目中,基本分页都是可以单靠ROWNUM就可以实现,而在数据量只有几十万的情况下,效率也是够的,如果一定要优化,则可以考虑ROWID。
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