Home Database Mysql Tutorial Oracle基础教程:单行函数—分支函数

Oracle基础教程:单行函数—分支函数

Jun 07, 2016 pm 05:11 PM

简单case实现的是等值比较(表达式在when之前)SQLgt; select ename,sal,case deptno when 10 then

分支结构

decode

 

if expr1
then
 action1
elif expr2
then
 action2
...
else
 default_action
fi

decode(expr1,search1,result1,search2,result2,...,default)
只能做等值比较

SQL> select ename,deptno,decode(deptno,
     10,'AAAA',
     20,'BBBB',
     'CCCC') from emp order by 2;

ENAME        DEPTNO DECO
---------- ---------- ----
CLARK     10 AAAA
KING     10 AAAA
MILLER     10 AAAA
JONES     20 BBBB
FORD     20 BBBB
ADAMS     20 BBBB
SMITH     20 BBBB
SCOTT     20 BBBB
WARD     30 CCCC
TURNER     30 CCCC
ALLEN     30 CCCC
JAMES     30 CCCC
BLAKE     30 CCCC
MARTIN     30 CCCC

14 rows selected.

SQL>

练习:
 按部分编号涨工资(只打印) 10号部门涨10% 20号部分涨20% 其他部分涨30%


decode
select ename,sal,deptno,
 decode(deptno,10,sal*1.1,,
                    20,sal*2.1,
             sal*3.1)
from emp order by deptno;

简单case

select ename,sal,deptno,
 case deptno
  when 10 then sal*1.1
  when 20 then sal*2.1
  else sal*3.1
  end
from emp order by deptno;


search case

select ename,sal,deptno,
 case when deptno=10 then sal*1.1
  when deptno=20 then sal*2.1
  else sal*3.1
 end
from emp order by deptno;

case

 

简单
case expr when search1 then result1
  when search2 then result2
  ....
  else default_result
  end
只能做等值比较

简单case实现的是等值比较(表达式在when之前)
SQL> select ename,sal,case deptno when 10 then 'AAA'
        when 20 then 'BBB'
        else 'CCC'
            end
     from emp order by deptno;
SQL>

ENAME    SAL CAS
---------- ---------- ---
CLARK   2450 AAA
KING   5000 AAA
MILLER   1300 AAA
JONES   2975 BBB
FORD   3000 BBB
ADAMS   1100 BBB
SMITH    800 BBB
SCOTT   3000 BBB
WARD   1250 CCC
TURNER   1500 CCC
ALLEN   1600 CCC
JAMES    950 CCC
BLAKE   2850 CCC
MARTIN   1250 CCC

14 rows selected.


搜索case实现的是不等值比较(表达式在when之后)

select ename,deptno case when deptno=10 then 'aaa'
     when deptno=20 then 'bbb'
     else 'ccc'
    end
from emp;

SQL>  select ename,sal,case  when sal            when sal>1000 and sal            when sal>2000 and sal            else sal+4
       end  "up_sal"
   from emp order by sal;


ENAME    SAL   up_sal
---------- ---------- ----------
SMITH    800      801
JAMES    950      951
ADAMS   1100     1102
WARD   1250     1252
MARTIN   1250     1252
MILLER   1300     1302
TURNER   1500     1502
ALLEN   1600     1602
CLARK   2450     2453
BLAKE   2850     2853
JONES   2975     2978
SCOTT   3000     3003
FORD   3000     3003
KING   5000     5004

14 rows selected.

SQL>

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1655
14
PHP Tutorial
1252
29
C# Tutorial
1226
24
When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

RDS MySQL integration with Redshift zero ETL RDS MySQL integration with Redshift zero ETL Apr 08, 2025 pm 07:06 PM

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Laravel Eloquent ORM in Bangla partial model search) Laravel Eloquent ORM in Bangla partial model search) Apr 08, 2025 pm 02:06 PM

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

MySQL: The Ease of Data Management for Beginners MySQL: The Ease of Data Management for Beginners Apr 09, 2025 am 12:07 AM

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.

See all articles