aaarticlea/png;base64,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" alt="" />

UNION/UNION ALL 并集

aaarticlea/png;base64,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" alt="" />

INTERSECT 交集

aaarticlea/png;base64,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" alt="" />

MINUS 差集

我们知道group by 增强中 http://www.cnblogs.com/liuwt365/p/4181256.html

group by rollup(a,b)
 =
 group by a,b
 +
 group by a
 +
 group by null

所以我们应该写sql语句应该为:

 SQL> select deptno,job,sum(sal) from emp group by deptno,job
2 union
3 select deptno,sum(sal) from emp group by deptno
4 union
5 select sum(sal) from emp group by null; select deptno,job,sum(sal) from emp group by deptno,job
union
select deptno,sum(sal) from emp group by deptno
union
select sum(sal) from emp group by null ORA-01789: 查询块具有不正确的结果列数

但是出错了,这是集合运算符的限制

  1. 参与运算的各个集合必须列数相同 且类型一致
  2. 采用第一个集合的表头作为最后的表头
  3. 如果排序,必须在每个集合后使用相同的order by
  4. 可以使用括号

 SQL> select deptno,job,sum(sal)
2 from emp
3 group by rollup(deptno,job)
4 ; DEPTNO JOB SUM(DEPTNO)
------ --------- -----------
10 CLERK 10
10 MANAGER 10
10 PRESIDENT 10
10 30
20 CLERK 20
20 ANALYST 20
20 MANAGER 20
20 60
30 CLERK 30
30 MANAGER 30
30 SALESMAN 120
30 180
270 13 rows selected SQL> select deptno,job,sum(sal) from emp group by deptno,job
2 union
3 select deptno,to_char(null),sum(sal) from emp group by deptno
4 union
5 select to_number(null),to_char(null),sum(sal) from emp group by null; DEPTNO JOB SUM(SAL)
---------- --------- ----------
10 CLERK 1400
10 MANAGER 2450
10 PRESIDENT 5000
10 8850
20 ANALYST 3000
20 CLERK 800
20 MANAGER 2975
20 6775
30 CLERK 950
30 MANAGER 2850
30 SALESMAN 5600
30 9400
25025 13 rows selected

oracle 集合运算符的更多相关文章

  1. Oracle集合运算符 交集 并集 差集

     集合运算符:UNION/UNION ALL 并集,INTERSECT 交集,MINUS 差集  一.union求并集,公共部分只有包含一次 例:求emp表ename中含’A‘或含有‘M’ SQL&g ...

  2. Oracle的集合运算符

    Oracle的集合运算符有并集union.union all,交集intersect,差集minus 先建表myemp,进行集合运算的测试 create table myemp as select * ...

  3. 小谈KVC中KeyPath的集合运算符

    由于知识点比较简单,这里不再陈述一大堆的原理,直入主题. KVC中的集合运算符有以下三类: 1.简单集合运算符:@avg.@sum.@max.@min.@count (只能用在集合对象中,对象属性必须 ...

  4. SQL的集合运算符介绍

    最近学习了SQL SERVER方面的知识,毕竟做Web应用,少不了跟数据库打交道.学习的来源主要是<程序员的SQL金典>这本书. 今天介绍数据库里面的集合运算符,它是指匹配集合的每一个结果 ...

  5. 集合运算符之全集、交集、补集【weber出品必属精品】

    集合的概念 与数学中的全集.交集.补集的概念是一样的 常用的集合运算符 集合运算符的作用:把两个查询构造为一个联合查询 1. 全集:求连个查询的全集 union all:将两个查询的所有数据全部列出, ...

  6. Oracle集合操作函数:union、intersect、minus

    [转]Oracle集合操作函数:union.intersect.minus 集合操作符专门用于合并多条select 语句的结果,包括:UNION, UNION ALL, INTERSECT, MINU ...

  7. oracle 集合变量以及自定义异常的用法

    oracle 集合变量以及自定义异常的用法, 在过程 record_practice 有record变量和自定义异常的用法实例.具体在3284行. CREATE OR REPLACE Package ...

  8. LINQ之路16:LINQ Operators之集合运算符、Zip操作符、转换方法、生成器方法

    本篇将是关于LINQ Operators的最后一篇,包括:集合运算符(Set Operators).Zip操作符.转换方法(Conversion Methods).生成器方法(Generation M ...

  9. Oracle集合类型

    Oracle集合类型介绍   集合类型   1. 使用条件:    a. 单行单列的数据,使用标量变量 .     b. 单行多列数据,使用记录    c. 单列多行数据,使用集合        *集 ...

随机推荐

  1. Skynet:特性收集

    基于云风的 blog,收集 skynet 的特性以便将来在代码中一一验证. “ ... ” 部分节选自云风的 BLOG. 1. 基于 Erlang-Actor 模式的 C 实现 “把一个符合规范的 C ...

  2. ExtJS5_自定义菜单2

    这一节来定义另外三种类型的菜单类.首先定义菜单按钮类.文件放于app/view/main/region目录下面,文件名为ButtonMainMenu.js. /** * 显示在顶部的按钮菜单,可以切换 ...

  3. 转:Node.js异步处理CPU密集型任务的新思路

    原文来自于:http://www.infoq.com/cn/articles/new-idea-of-nodejs-asynchronous-processing-tasks?utm_source=i ...

  4. c语言里用结构体和指针函数实现面向对象思想

    一.基础研究 观察如下两个程序a.c和b.c: A.c: B.c: 这两个程序都是要实现在屏幕上第10行40列打印一个绿色的字符c: 这两个程序的数据组织方式是一样的,都是使用结构体,而且对共性和个性 ...

  5. JAVA简单的SWING及AWT

    慢慢找感觉~~ package SwingGui.sky.com; import javax.swing.*; import java.awt.*; import java.awt.event.*; ...

  6. moveToThread的最简单用法(依葫芦画瓢即可)(使得线程也更偏向于信号槽的使用方法)

    /*! * \file main.cpp * * Copyright (C) 2010, dbzhang800 * All rights reserved. * */ #include <QtC ...

  7. QWaitCondition(和Java的Notify机制非常相像)

    QT通过三种形式提供了对线程的支持.它们分别是,一.平台无关的线程类,二.线程安全的事件投递,三.跨线程的信号-槽连接.这使得开发轻巧的多线程Qt程序更为容易,并能充分利用多处理器机器的优势.多线程编 ...

  8. BestCoder Round #49

    呵呵哒,1001的dfs返回值写错,wa了两发就没分了,1002显然是PAM可是我没学过啊!!!压位暴力可不可以...看看范围貌似不行,弃疗...1003根本不会做,1004想了想lcc发现不可做,那 ...

  9. -_-#【userAgent】极速模式与非极速模式存在差异

    UC浏览器 Android 极速模式 UC浏览器 Android 非极速模式

  10. Binary Search Tree Iterator——LeetCode

    Implement an iterator over a binary search tree (BST). Your iterator will be initialized with the ro ...