Oracle 序号函数
Oracle提供的序号函数:
以emp表为例:
1: rownum 最简单的序号 但是在order by之前就确定值.
select rownum,t.* from emp t order by ename
| 行数 | ROWNUM | EMPNO | ENAME | JOB | MGR | HIREDATE | SAL | COMM | DEPTNO |
| 1 | 11 | 7876 | ADAMS | CLERK | 7788 | 1987-5-23 | 1100 | 20 | |
| 2 | 2 | 7499 | ALLEN | SALESMAN | 7698 | 1981-2-20 | 1600 | 300 | 30 |
| 3 | 6 | 7698 | BLAKE | MANAGER | 7839 | 1981-5-1 | 2850 | 30 | |
| 4 | 7 | 7782 | CLARK | MANAGER | 7839 | 1981-6-9 | 2450 | 10 | |
| 5 | 13 | 7902 | FORD | ANALYST | 7566 | 1981-12-3 | 3000 | 20 | |
| 6 | 12 | 7900 | JAMES | CLERK | 7698 | 1981-12-3 | 950 | 30 | |
| 7 | 4 | 7566 | JONES | MANAGER | 7839 | 1981-4-2 | 2975 | 20 | |
| 8 | 9 | 7839 | KING | PRESIDENT | 1981-11-17 | 5000 | 10 | ||
| 9 | 5 | 7654 | MARTIN | SALESMAN | 7698 | 1981-9-28 | 1250 | 1400 | 30 |
| 10 | 14 | 7934 | MILLER | CLERK | 7782 | 1982-1-23 | 1300 | 10 | |
| 11 | 8 | 7788 | SCOTT | ANALYST | 7566 | 1987-4-19 | 3000 | 20 | |
| 12 | 1 | 7369 | SMITH | CLERK | 7902 | 1980-12-17 | 800 | 20 | |
| 13 | 10 | 7844 | TURNER | SALESMAN | 7698 | 1981-9-8 | 1500 | 0 | 30 |
| 14 | 3 | 7521 | WARD | SALESMAN | 7698 | 1981-2-22 | 1250 | 500 | 30 |
2: row_number() over( order by 字段名1,字段名2,...字段名n ) 先排序再确定序号.
select row_number() over( order by ename ) as rm, t.* from emp t
| 行数 | RM | EMPNO | ENAME | JOB | MGR | HIREDATE | SAL | COMM | DEPTNO |
| 1 | 1 | 7876 | ADAMS | CLERK | 7788 | 1987-5-23 | 1100 | 20 | |
| 2 | 2 | 7499 | ALLEN | SALESMAN | 7698 | 1981-2-20 | 1600 | 300 | 30 |
| 3 | 3 | 7698 | BLAKE | MANAGER | 7839 | 1981-5-1 | 2850 | 30 | |
| 4 | 4 | 7782 | CLARK | MANAGER | 7839 | 1981-6-9 | 2450 | 10 | |
| 5 | 5 | 7902 | FORD | ANALYST | 7566 | 1981-12-3 | 3000 | 20 | |
| 6 | 6 | 7900 | JAMES | CLERK | 7698 | 1981-12-3 | 950 | 30 | |
| 7 | 7 | 7566 | JONES | MANAGER | 7839 | 1981-4-2 | 2975 | 20 | |
| 8 | 8 | 7839 | KING | PRESIDENT | 1981-11-17 | 5000 | 10 | ||
| 9 | 9 | 7654 | MARTIN | SALESMAN | 7698 | 1981-9-28 | 1250 | 1400 | 30 |
| 10 | 10 | 7934 | MILLER | CLERK | 7782 | 1982-1-23 | 1300 | 10 | |
| 11 | 11 | 7788 | SCOTT | ANALYST | 7566 | 1987-4-19 | 3000 | 20 | |
| 12 | 12 | 7369 | SMITH | CLERK | 7902 | 1980-12-17 | 800 | 20 | |
| 13 | 13 | 7844 | TURNER | SALESMAN | 7698 | 1981-9-8 | 1500 | 0 | 30 |
| 14 | 14 | 7521 | WARD | SALESMAN | 7698 | 1981-2-22 | 1250 | 500 | 30 |
3: 和上面的不同之处在于PARTITION分区.在每一个小分区内部取序号.
select row_number() over(PARTITION BY deptno order by sal ) as rm, t.* from emp t
| 行数 | RM | EMPNO | ENAME | JOB | MGR | HIREDATE | SAL | COMM | DEPTNO |
| 1 | 1 | 7934 | MILLER | CLERK | 7782 | 1982-1-23 | 1300 | 10 | |
| 2 | 2 | 7782 | CLARK | MANAGER | 7839 | 1981-6-9 | 2450 | 10 | |
| 3 | 3 | 7839 | KING | PRESIDENT | 1981-11-17 | 5000 | 10 | ||
| 4 | 1 | 7369 | SMITH | CLERK | 7902 | 1980-12-17 | 800 | 20 | |
| 5 | 2 | 7876 | ADAMS | CLERK | 7788 | 1987-5-23 | 1100 | 20 | |
| 6 | 3 | 7566 | JONES | MANAGER | 7839 | 1981-4-2 | 2975 | 20 | |
| 7 | 4 | 7788 | SCOTT | ANALYST | 7566 | 1987-4-19 | 3000 | 20 | |
| 8 | 5 | 7902 | FORD | ANALYST | 7566 | 1981-12-3 | 3000 | 20 | |
| 9 | 1 | 7900 | JAMES | CLERK | 7698 | 1981-12-3 | 950 | 30 | |
| 10 | 2 | 7521 | WARD | SALESMAN | 7698 | 1981-2-22 | 1250 | 500 | 30 |
| 11 | 3 | 7654 | MARTIN | SALESMAN | 7698 | 1981-9-28 | 1250 | 1400 | 30 |
| 12 | 4 | 7844 | TURNER | SALESMAN | 7698 | 1981-9-8 | 1500 | 0 | 30 |
| 13 | 5 | 7499 | ALLEN | SALESMAN | 7698 | 1981-2-20 | 1600 | 300 | 30 |
| 14 | 6 | 7698 | BLAKE | MANAGER | 7839 | 1981-5-1 | 2850 | 30 |
4: rank()在这里表示针对每个部门员工的工资取序号.
select rank() over(PARTITION BY deptno order by sal ) as rnk, t.* from emp t;
| 行数 | RNK | EMPNO | ENAME | JOB | MGR | HIREDATE | SAL | COMM | DEPTNO |
| 1 | 1 | 7934 | MILLER | CLERK | 7782 | 1982-1-23 | 1300 | 10 | |
| 2 | 2 | 7782 | CLARK | MANAGER | 7839 | 1981-6-9 | 2450 | 10 | |
| 3 | 3 | 7839 | KING | PRESIDENT | 1981-11-17 | 5000 | 10 | ||
| 4 | 1 | 7369 | SMITH | CLERK | 7902 | 1980-12-17 | 800 | 20 | |
| 5 | 2 | 7876 | ADAMS | CLERK | 7788 | 1987-5-23 | 1100 | 20 | |
| 6 | 3 | 7566 | JONES | MANAGER | 7839 | 1981-4-2 | 2975 | 20 | |
| 7 | 4 | 7788 | SCOTT | ANALYST | 7566 | 1987-4-19 | 3000 | 20 | |
| 8 | 4 | 7902 | FORD | ANALYST | 7566 | 1981-12-3 | 3000 | 20 | |
| 9 | 1 | 7900 | JAMES | CLERK | 7698 | 1981-12-3 | 950 | 30 | |
| 10 | 2 | 7521 | WARD | SALESMAN | 7698 | 1981-2-22 | 1250 | 500 | 30 |
| 11 | 2 | 7654 | MARTIN | SALESMAN | 7698 | 1981-9-28 | 1250 | 1400 | 30 |
| 12 | 4 | 7844 | TURNER | SALESMAN | 7698 | 1981-9-8 | 1500 | 0 | 30 |
| 13 | 5 | 7499 | ALLEN | SALESMAN | 7698 | 1981-2-20 | 1600 | 300 | 30 |
| 14 | 6 | 7698 | BLAKE | MANAGER | 7839 | 1981-5-1 | 2850 | 30 |
5: 从例子中可以看到dense_rank()和rank()的唯一区别就是:
dense_rank()中并列第二名后是第三名.
rank()中并列第二名后是第四名.
select dense_rank() over(PARTITION BY deptno order by sal ) as dense_rnk, t.* from emp t;
| 行数 | DENSE_RNK | EMPNO | ENAME | JOB | MGR | HIREDATE | SAL | COMM | DEPTNO |
| 1 | 1 | 7934 | MILLER | CLERK | 7782 | 1982-1-23 | 1300 | 10 | |
| 2 | 2 | 7782 | CLARK | MANAGER | 7839 | 1981-6-9 | 2450 | 10 | |
| 3 | 3 | 7839 | KING | PRESIDENT | 1981-11-17 | 5000 | 10 | ||
| 4 | 1 | 7369 | SMITH | CLERK | 7902 | 1980-12-17 | 800 | 20 | |
| 5 | 2 | 7876 | ADAMS | CLERK | 7788 | 1987-5-23 | 1100 | 20 | |
| 6 | 3 | 7566 | JONES | MANAGER | 7839 | 1981-4-2 | 2975 | 20 | |
| 7 | 4 | 7788 | SCOTT | ANALYST | 7566 | 1987-4-19 | 3000 | 20 | |
| 8 | 4 | 7902 | FORD | ANALYST | 7566 | 1981-12-3 | 3000 | 20 | |
| 9 | 1 | 7900 | JAMES | CLERK | 7698 | 1981-12-3 | 950 | 30 | |
| 10 | 2 | 7521 | WARD | SALESMAN | 7698 | 1981-2-22 | 1250 | 500 | 30 |
| 11 | 2 | 7654 | MARTIN | SALESMAN | 7698 | 1981-9-28 | 1250 | 1400 | 30 |
| 12 | 3 | 7844 | TURNER | SALESMAN | 7698 | 1981-9-8 | 1500 | 0 | 30 |
| 13 | 4 | 7499 | ALLEN | SALESMAN | 7698 | 1981-2-20 | 1600 | 300 | 30 |
| 14 | 5 | 7698 | BLAKE | MANAGER | 7839 | 1981-5-1 | 2850 | 30 |
Oracle 序号函数的更多相关文章
- MSSQL和Oracle常用函数比对
数学函数 序号 函数功能 SQL Server用法 Oracle用法 1 绝对值 select abs(-1) value select abs(-1) value from dual 2 取整(大) ...
- Oracle分析函数——函数列表
--------------聚合函数 SUM :该函数计算组中表达式的累积和 MIN :在一个组中的数据窗口中查找表达式的最小值 MAX :在一个组中的数据窗口中查找表达式的最大值 AVG :用于计算 ...
- oracle add_months函数
oracle add_months函数 add_months 函数主要是对日期函数进行操作,举例子进行说明 add_months 有两个参数,第一个参数是日期,第二个参数是对日期进行加减的数字(以月为 ...
- Oracle to_date()函数的用法
Oracle to_date()函数的用法 to_date()是Oracle数据库函数的代表函数之一,下文对Oracle to_date()函数的几种用法作了详细的介绍说明,供您参考学习. 在Orac ...
- Oracle over函数
Oracle over函数 SQL code: sql over的作用及用法RANK ( ) OVER ( [query_partition_clause] order_by_clause )DE ...
- Oracle常用函数
前一段时间学习Oracle 时做的学习笔记,整理了一下,下面是分享的Oracle常用函数的部分笔记,以后还会分享其他部分的笔记,请大家批评指正. 1.Oracle 数据库中的to_date()函数的使 ...
- Oracle SQL函数
Oracle将函数大致分为单行函数,聚合函数和分析函数. 单行函数分为字符函数,日期函数,转换函数,数字函数,通用函数,decode函数 一.字符函数 1)大小写控制函数 01.Lower() 全部小 ...
- Oracle trunc()函数的用法
Oracle trunc()函数的用法 /**************日期********************/1.select trunc(sysdate) from dual --2013-0 ...
- oracle中函数和存储过程的区别和联系【转载竹沥半夏】
oracle中函数和存储过程的区别和联系[转载竹沥半夏] 在oracle中,函数和存储过程是经常使用到的,他们的语法中有很多相似的地方,但也有自己的特点.刚学完函数和存储过程,下面来和大家分享一下自己 ...
随机推荐
- 学习记录-java基础部分(一)
学习记录-java基础部分(一) 参考:GitHub上的知名项目:javaGuide : https://github.com/Snailclimb/JavaGuide/blob/master/doc ...
- QML 下拉列表框的使用
世界上一成不变的东西,只有"任何事物都是在不断变化的"这条真理. -- 斯里兰卡 ComboBox { id:combox x: structureTab_label2.x+str ...
- java静态代理和JDK动态代理
静态代理 编译阶段就生产了对应的代理类 public interface IBussiness { void execute(); } public class BussinessImpl imple ...
- 16 JQuery---JavaScript框架
1.JQuery概念一个JavaScript框架.简化JS开发JQuery是一个快速.简洁的JavaScript框架,是继Prototype之后又一个优秀的JavaScript代码库(或JavaScr ...
- [转帖]IOC Security: Indicators of Attack vs. Indicators of Compromise
IOC Security: Indicators of Attack vs. Indicators of Compromise https://www.crowdstrike.com/blog/ind ...
- path包 + pathfile 包 — 汇总
path包的使用 package main; import ( "fmt" "path" ) //go语言path包的学习 func main() { //返回 ...
- Java基础笔试练习(九)
1.下面所示的java代码,运行时,会产生()类型的异常 ? int Arry_a[] = new int[10]; System.out.println(Arry_a[10]); A.Arithme ...
- Ubuntu19.04 Help
Ubuntu Dock 为应用程序启用最小化操作,立即生效. $ gsettings set org.gnome.shell.extensions.dash-to-dock click-action ...
- C++学习笔记 之 循环
循环 循环语句允许我们多次执行一个语句或者语句组.(插入流程图) 循环类型 C++为我们提供的循环类型如下: 循环类型 描述 while循环 当给定条件为真时,重复语句或语句组.它会在执行循环主体之前 ...
- npm run脚本传参
1. 脚本上有set设置全局变量 "scripts": { "start": "set REACT_APP_BA=12345 &&am ...