--复习autotrace:
SET AUTOTRACE OFF --不生成AUTOTRACE 报告,这是缺省模式
SET AUTOTRACE ON EXPLAIN --AUTOTRACE只显示优化器执行路径报告
SET AUTOTRACE ON STATISTICS --只显示执行统计信息
SET AUTOTRACE ON --包含执行计划和统计信息
SET AUTOTRACE TRACEONLY --同set autotrace on,但是不显示查询输出 --案例模拟
--查询原始表:
23:13:36 SQL> select * from emp; EMPNO ENAME JOB MGR HIREDATE SAL COMM DEPTNO
---------- ---------- --------- ---------- ------------ ---------- ---------- ----------
7698 BLAKE MANAGER 7839 01-MAY-81 2850 30
7782 CLARK MANAGER 7839 09-JUN-81 2450 10
7788 SCOTT ANALYST 7566 19-APR-87 3000 20
7839 KING PRESIDENT 17-NOV-81 5000 10
7844 TURNER SALESMAN 7698 08-SEP-81 1500 0 30
7876 ADAMS CLERK 7788 23-MAY-87 1100 20
7900 JAMES CLERK 7698 03-DEC-81 950 30
7902 FORD ANALYST 7566 03-DEC-81 3000 20
7934 MILLER CLERK 7782 23-JAN-82 1300 10
7369 SMITH CLERK 7902 17-DEC-80 800 20
7499 ALLEN SALESMAN 7698 20-FEB-81 1600 300 30
7521 WARD SALESMAN 7698 22-FEB-81 1250 500 30
7566 JONES MANAGER 7839 02-APR-81 2975 20
7654 MARTIN SALESMAN 7698 28-SEP-81 1250 1400 30 14 rows selected. Elapsed: 00:00:00.09 --模拟,插入重复记录
INSERT INTO emp select * from emp; --检查重复记录
23:13:39 SQL> SELECT COUNT(empno), empno FROM emp GROUP BY empno HAVING COUNT(empno) > 1; COUNT(EMPNO) EMPNO
------------ ----------
2 7782
2 7839
2 7844
2 7698
2 7902
2 7521
2 7788
2 7934
2 7566
2 7654
2 7499
2 7876
2 7900
2 7369 14 rows selected. Elapsed: 00:00:00.04 --方法一(只保留ROWID最小的记录):
DELETE FROM emp
WHERE empno IN
(SELECT empno FROM emp GROUP BY empno HAVING COUNT(empno) > 1)
AND ROWID NOT IN
(SELECT MIN(ROWID) FROM emp GROUP BY empno HAVING COUNT(empno) > 1); [lubinsu@200-168-46-3 shell_monitor]$ sqlplus lubinsu/lubinsu SQL*Plus: Release 10.2.0.1.0 - Production on Sun Aug 18 23:09:34 2013 Copyright (c) 1982, 2005, Oracle. All rights reserved. Connected to:
Oracle Database 10g Enterprise Edition Release 10.2.0.1.0 - Production
With the Partitioning, OLAP and Data Mining options 23:09:46 SQL> set timing on
23:09:51 SQL> set autotrace traceonly
23:09:58 SQL> set linesize 200
23:17:32 SQL> DELETE FROM emp
23:17:38 2 WHERE empno IN
23:17:40 3 (SELECT empno FROM emp GROUP BY empno HAVING COUNT(empno) > 1)
23:17:45 4 AND ROWID NOT IN
23:17:49 5 (SELECT MIN(ROWID) FROM emp GROUP BY empno HAVING COUNT(empno) > 1); 14 rows deleted. Elapsed: 00:00:00.07 Execution Plan
----------------------------------------------------------
Plan hash value: 319293636 ------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------
| 0 | DELETE STATEMENT | | 1 | 41 | 9 (34)| 00:00:01 |
| 1 | DELETE | EMP | | | | |
|* 2 | HASH JOIN ANTI | | 1 | 41 | 9 (34)| 00:00:01 |
|* 3 | HASH JOIN SEMI | | 1 | 29 | 6 (34)| 00:00:01 |
| 4 | TABLE ACCESS FULL | EMP | 14 | 224 | 2 (0)| 00:00:01 |
| 5 | VIEW | VW_NSO_1 | 1 | 13 | 3 (34)| 00:00:01 |
|* 6 | FILTER | | | | | |
| 7 | SORT GROUP BY | | 1 | 4 | 3 (34)| 00:00:01 |
| 8 | TABLE ACCESS FULL| EMP | 14 | 56 | 2 (0)| 00:00:01 |
| 9 | VIEW | VW_NSO_2 | 1 | 12 | 3 (34)| 00:00:01 |
|* 10 | FILTER | | | | | |
| 11 | SORT GROUP BY | | 1 | 16 | 3 (34)| 00:00:01 |
| 12 | TABLE ACCESS FULL | EMP | 14 | 224 | 2 (0)| 00:00:01 |
------------------------------------------------------------------------------------ Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access(ROWID="$nso_col_1")
3 - access("EMPNO"="$nso_col_1")
6 - filter(COUNT("EMPNO")>1)
10 - filter(COUNT("EMPNO")>1) Statistics
----------------------------------------------------------
1 recursive calls
15 db block gets
16254 consistent gets
0 physical reads
4256 redo size
925 bytes sent via SQL*Net to client
1116 bytes received via SQL*Net from client
6 SQL*Net roundtrips to/from client
3 sorts (memory)
0 sorts (disk)
14 rows processed --方法二、使用分析函数(只保留ROWID最小的记录):
23:17:57 SQL> rollback; Rollback complete. Elapsed: 00:00:00.02
23:19:11 SQL> DELETE FROM emp
23:22:22 2 WHERE ROWID IN (SELECT ROWID
23:22:28 3 FROM (SELECT ROWID row_id,
23:22:32 4 row_number() over(PARTITION BY empno ORDER BY ROWID ASC) row_num
23:22:37 5 FROM emp e) v
23:22:41 6 WHERE v.row_num >= 2); 14 rows deleted. Elapsed: 00:00:00.04 Execution Plan
----------------------------------------------------------
Plan hash value: 3671588261 -----------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-----------------------------------------------------------------------------------------
| 0 | DELETE STATEMENT | | 1 | 24 | 5 (40)| 00:00:01 |
| 1 | DELETE | EMP | | | | |
| 2 | NESTED LOOPS | | 1 | 24 | 5 (40)| 00:00:01 |
| 3 | VIEW | VW_NSO_1 | 14 | 168 | 3 (34)| 00:00:01 |
| 4 | SORT UNIQUE | | 1 | 350 | | |
|* 5 | VIEW | | 14 | 350 | 3 (34)| 00:00:01 |
| 6 | WINDOW SORT | | 14 | 224 | 3 (34)| 00:00:01 |
| 7 | TABLE ACCESS FULL | EMP | 14 | 224 | 2 (0)| 00:00:01 |
| 8 | TABLE ACCESS BY USER ROWID| EMP | 1 | 12 | 1 (0)| 00:00:01 |
----------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 5 - filter("V"."ROW_NUM">=2) Statistics
----------------------------------------------------------
1 recursive calls
18 db block gets
5434 consistent gets
0 physical reads
4448 redo size
925 bytes sent via SQL*Net to client
1190 bytes received via SQL*Net from client
6 SQL*Net roundtrips to/from client
3 sorts (memory)
0 sorts (disk)
14 rows processed --方法三、
23:22:45 SQL> DELETE FROM emp p WHERE ROWID NOT IN(SELECT MAX(ROWID) FROM emp i WHERE i.empno = p.empno); 0 rows deleted. Elapsed: 00:00:00.13 Execution Plan
----------------------------------------------------------
Plan hash value: 1987023575 ---------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
---------------------------------------------------------------------------------
| 0 | DELETE STATEMENT | | 13 | 533 | 6 (34)| 00:00:01 |
| 1 | DELETE | EMP | | | | |
|* 2 | HASH JOIN | | 13 | 533 | 6 (34)| 00:00:01 |
| 3 | VIEW | VW_SQ_1 | 14 | 350 | 3 (34)| 00:00:01 |
| 4 | SORT GROUP BY | | 14 | 224 | 3 (34)| 00:00:01 |
| 5 | TABLE ACCESS FULL| EMP | 14 | 224 | 2 (0)| 00:00:01 |
| 6 | TABLE ACCESS FULL | EMP | 14 | 224 | 2 (0)| 00:00:01 |
--------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("EMPNO"="P"."EMPNO")
filter(ROWID<>"VW_COL_1") Statistics
----------------------------------------------------------
168 recursive calls
0 db block gets
10954 consistent gets
0 physical reads
0 redo size
925 bytes sent via SQL*Net to client
1008 bytes received via SQL*Net from client
6 SQL*Net roundtrips to/from client
2 sorts (memory)
0 sorts (disk)
0 rows processed --方法四、和方法三是类似的:
Elapsed: 00:00:00.03
23:28:25 SQL> DELETE FROM emp p WHERE ROWID < (SELECT MAX(ROWID) FROM emp i WHERE i.empno = p.empno); 14 rows deleted. Elapsed: 00:00:00.06 Execution Plan
----------------------------------------------------------
Plan hash value: 1987023575 ---------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
---------------------------------------------------------------------------------
| 0 | DELETE STATEMENT | | 1 | 41 | 6 (34)| 00:00:01 |
| 1 | DELETE | EMP | | | | |
|* 2 | HASH JOIN | | 1 | 41 | 6 (34)| 00:00:01 |
| 3 | VIEW | VW_SQ_1 | 14 | 350 | 3 (34)| 00:00:01 |
| 4 | SORT GROUP BY | | 14 | 224 | 3 (34)| 00:00:01 |
| 5 | TABLE ACCESS FULL| EMP | 14 | 224 | 2 (0)| 00:00:01 |
| 6 | TABLE ACCESS FULL | EMP | 14 | 224 | 2 (0)| 00:00:01 |
--------------------------------------------------------------------------------- --方法五、使用group by,同样类似三四
23:30:01 SQL> DELETE FROM emp p WHERE ROWID NOT IN (SELECT MAX(ROWID) FROM emp i GROUP BY i.empno); 14 rows deleted. Elapsed: 00:00:00.06 Execution Plan
----------------------------------------------------------
Plan hash value: 3239269824 ----------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------
| 0 | DELETE STATEMENT | | 1 | 24 | 6 (34)| 00:00:01 |
| 1 | DELETE | EMP | | | | |
|* 2 | HASH JOIN ANTI | | 1 | 24 | 6 (34)| 00:00:01 |
| 3 | TABLE ACCESS FULL | EMP | 14 | 168 | 2 (0)| 00:00:01 |
| 4 | VIEW | VW_NSO_1 | 14 | 168 | 3 (34)| 00:00:01 |
| 5 | SORT GROUP BY | | 14 | 224 | 3 (34)| 00:00:01 |
| 6 | TABLE ACCESS FULL| EMP | 14 | 224 | 2 (0)| 00:00:01 |
---------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access(ROWID="$nso_col_1") Statistics
----------------------------------------------------------
0 recursive calls
17 db block gets
10836 consistent gets
0 physical reads
4324 redo size
926 bytes sent via SQL*Net to client
1002 bytes received via SQL*Net from client
6 SQL*Net roundtrips to/from client
2 sorts (memory)
0 sorts (disk)
14 rows processed --总结,还是自己想出来的方法二效率高,:)

【Oracle】删除重复记录的更多相关文章

  1. 初探oracle删除重复记录,只保留rowid最小的记录

    如题,初探oracle删除重复记录,只保留rowid最小的记录(rowid可以反映数据插入到数据库中的顺序) 一.删除重复记录可以使用多种方法,如下只是介绍了两种方法(exist和in两种). 1.首 ...

  2. oracle删除重复记录,只保留rowid最小的记录

    初探oracle删除重复记录,只保留rowid最小的记录   如题,初探oracle删除重复记录,只保留rowid最小的记录(rowid可以反映数据插入到数据库中的顺序) 一.删除重复记录可以使用多种 ...

  3. oracle 删除重复记录

    查询及删除重复记录的SQL语句   1.查找表中多余的重复记录,重复记录是根据单个字段(Id)来判断   select * from 表 where Id in (select Id from 表 g ...

  4. Oracle删除重复记录只保留一条数据的几种方法

    1. 问题描述 BBSCOMMENT表为BBSDETAIL的从表,记录商户评价信息.因为数据倒腾来倒腾去的,有很多重复数据.表结构如下: COMMENT_ID NOT NULL NUMBER --主键 ...

  5. 【转】oracle 删除重复记录

    转至:http://blog.163.com/aner_rui/blog/static/12131232820105901451809/ 2.保留一条(这个应该是大多数人所需要的 ^_^) Delet ...

  6. Oracle 查询并删除重复记录的SQL语句

    查询及删除重复记录的SQL语句 1.查找表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断select * from peoplewhere peopleId in (select  ...

  7. oracle中查找和删除重复记录的几种方法总结

    平时工作中可能会遇到当试图对库表中的某一列或几列创建唯一索引时,系统提示 ORA-01452 :不能创建唯一索引,发现重复记录. 下面总结一下几种查找和删除重复记录的方法(以表CZ为例): 表CZ的结 ...

  8. ORACLE查询删除重复记录

     比如现在有一人员表 (表名:peosons) 若想将姓名.身份证号.住址这三个字段完全相同的记录查询出来 复制代码 代码如下: select p1.*   from persons  p1,pers ...

  9. ORACLE查询删除重复记录三种方法

    本文列举了3种删除重复记录的方法,分别是rowid.group by和distinct,小伙伴们可以参考一下.   比如现在有一人员表 (表名:peosons) 若想将姓名.身份证号.住址这三个字段完 ...

  10. Oracle删除重复数据记录

    删除重复记录,利用ROWID 和MIN(或MAX)函数, ROWID在整个数据库中是唯一的,由Oracle自己产生和维护,并唯一标识一行(无论该表中是否有主键和唯一性约束),ROWID确定了每条记录在 ...

随机推荐

  1. 用CSS/CSS3 实现 水平居中和垂直居中的完整攻略

    水平居中:行内元素解决方案 只需要把行内元素包裹在一个属性display为block的父层元素中,并且把父层元素添加如下属性即可:   .parent { text-align:center; } 水 ...

  2. cocos2d-x3.2中怎样优化Cocos2d-X游戏的内存

    在游戏项目优化中都会碰到一个问题,怎样既能降低内存又能尽量降低包的大小?在实际项目中有些经验分享一下,其实2D游戏中最占内存的就是图片资源,一张图片使用不同的纹理格式带来的性能差异巨大.下表是我在IO ...

  3. CRC 模式及实现

    CRC : Cyclic redundancy Check 循环冗余校验 概述参见wiki百科:http://en.wikipedia.org/wiki/Cyclic_redundancy_check ...

  4. hdoj 1863 畅通工程 最小生成树---prime算法

    题目: http://acm.hdu.edu.cn/showproblem.php?pid=1863 注意有可能出现无法生成树的情况. #include <iostream> #inclu ...

  5. Javascript进阶篇——浏览器对象—JavaScript计时器

    ---恢复内容开始--- JavaScript 计时器在JavaScript中,我们可以在设定的时间间隔之后来执行代码,而不是在函数被调用后立即执行.计时器类型:一次性计时器:仅在指定的延迟时间之后触 ...

  6. WCF之旅

    转载:创建一个简单的WCF程序 http://www.cnblogs.com/artech/archive/2007/02/26/656901.html  Endpoint Overview http ...

  7. asp.net repeater控件操作

    Repeater控件和DataList控件,可以用来一次显示一组数据项.比如,可以用它们显示一个数据表中的所有行. Repeater控件完全由模板驱动,提供了最大的灵活性,可以任意设置它的输出格式. ...

  8. UNION 和UNION ALL

    UNION 操作符用于合并两个或多个 SELECT 语句的结果集. 请注意,UNION 内部的 SELECT 语句必须拥有相同数量的列.列也必须拥有相似的数据类型.同时,每条 SELECT 语句中的列 ...

  9. CoutDownLatch 多线程同步辅助类

    CountDownLatch,一个同步辅助类,在完成一组正在其他线程中执行的操作之前,它允许一个或多个线程一直等待. 主要方法 public CountDownLatch(int count); pu ...

  10. [转载]Silverlight实用窍门系列:71.Silverlight的Style

    本文版权归作者和博客园共有,欢迎转载,未经作者同意必须保留此段声明,且在文章页面明显位置给出原文连接,否则保留追究法律责任的权利. 原文链接:http://www.cnblogs.com/chengx ...