• SQL 基本关键字 函数 关联 连接


    http://www.w3cschool.cn/sql_having.html  w3c中有些SQL的讲解

    1 order by 排序

    SELECT Company, OrderNumber FROM Orders ORDER BY Company;

    2 distinct 去重

    SELECT DISTINCT Company FROM Orders ;

    3 limit 控制选择的条数(MYSQL)

    SELECT *FROM Persons LIMIT 5;

    ORACLE

    SELECT * FROM Persons WHERE ROWNUM <= 5;

    4 通配符

    SELECT * FROM Persons WHERE LastName LIKE 'C_r_er' -- _代表一个字符
    SELECT * FROM Persons WHERE City LIKE '[ALN]%'; -- 以A或L或N 开头的 %代表一个或多个字符
    
    SELECT * FROM Persons WHERE City LIKE '[!ALN]%' -- 不以A或L或N 开头的

    5 between

    SELECT * FROM Persons WHERE LastName NOT BETWEEN 'Adams' AND 'Carter';

    6 union 和union all 

    Employees_China:

    E_IDE_Name
    01 Zhang, Hua
    02 Wang, Wei
    03 Carter, Thomas
    04 Yang, Ming

    Employees_USA:

    E_IDE_Name
    01 Adams, John
    02 Bush, George
    03 Carter, Thomas
    04 Gates, Bill
    SELECT E_Name FROM Employees_China
    
    UNION
    
    SELECT E_Name FROM Employees_USA;

    结果

    E_Name
    Zhang, Hua
    Wang, Wei
    Carter, Thomas
    Yang, Ming
    Adams, John
    Bush, George
    Gates, Bill

    两个表的叠加  union比union all 多了个排重操作

    7 内连接 外连接

    A表                B表
    id name id name
    1 a 1 b
    2 b 3 c
    4 c
    内连接就是左表和右表相同的数据,查询结果只有相等的数据:
    select * from A inner join B on A.id=B.id
    select * from A,B where A.id=B.id

    id name id name
    1 a 1 b
    外连接分为:左外连接、右外连接、全外连接
    左外连接就是以左表为准,去匹配右表,左表有多少条数据,结果就是多少条数据
    select * from A left join B on A.id=B.id
    id name id name
    1 a 1 b
    2 b null null
    4 c null null
    右外连接就是与左外连接反之,以右表为准,去匹配左表,右表有多少条数据,结果就是多少条数据
    select * from A right join B on A.id=B.id
    id name id name
    1 a 1 b
    null null 3 c
    全外连接数据条数不一定,相当与是左外连接 和右外连接 的综合
    select * from A full join B on A.id=B.id
    id name id name
    1 a 1 b
    2 b null null
    null null 3 c
    4 c null null

    8 unique 唯一约束 约束还有 主键 外键 默认值 check(id>0等)不为空
    CREATE TABLE Persons
    
    (
    
    Id_P int NOT NULL,
    
    LastName varchar(255) NOT NULL,
    
    FirstName varchar(255),
    
    Address varchar(255),
    
    City varchar(255),
    
    UNIQUE (Id_P)
    
    ) -- 建表时约束 MYSQL
    CREATE TABLE Persons
    
    (
    
    Id_P int NOT NULL UNIQUE,
    
    LastName varchar(255) NOT NULL,
    
    FirstName varchar(255),
    
    Address varchar(255),
    
    City varchar(255)
    
    ) -- ORACLE

    9 index 索引

    CREATE INDEX PersonIndex ON Person (LastName DESC);

    数据库索引的作用和优点缺点

    10 alter 只能对表中整进行添加 修改 删除

    ALTER TABLE Persons ADD Birthday date;
    ALTER TABLE Persons ALTER COLUMN Birthday year;
    ALTER TABLE Person DROP COLUMN Birthday;

    11 MYSQL 自增 ORACLE 序列

    CREATE TABLE Persons
    
    (
    
    P_Id int NOT NULL AUTO_INCREMENT,
    
    LastName varchar(255) NOT NULL,
    
    FirstName varchar(255),
    
    Address varchar(255),
    
    City varchar(255),
    
    PRIMARY KEY (P_Id)
    
    );
    CREATE SEQUENCE seq_person
    
    MINVALUE 1
    
    START WITH 1
    
    INCREMENT BY 1
    
    CACHE 10;

    12 视图 view 视图可以隐藏一些不想让用户看到的信息 以一种新的方式展示数据

    create view v as select ename ||' ' ||deptno as data from emp;--创建视图
    select * from v;

    13 函数
    SELECT Customer FROM Orders WHERE OrderPrice>(SELECT AVG(OrderPrice) FROM Orders);
    SELECT COUNT(DISTINCT Customer) AS NumberOfCustomers FROM Orders;
    SELECT FIRST(OrderPrice) AS FirstOrderPrice FROM Orders order by OrderPrice; -- 还有last
    SELECT MAX(OrderPrice) AS LargestOrderPrice FROM Orders; -- min()
    SELECT SUM(OrderPrice) AS OrderTotal FROM Orders;
    SELECT MID(City,1,3) as SmallCity FROM Persons; -- 截取City前3个字符

    14 group by 通常和sum() 合用 按group by 的字段分组 如果一个客户有两条记录 将两条记录的数值求和

    SELECT Customer,SUM(OrderPrice) FROM Orders GROUP BY Customer;
    SELECT Customer,OrderDate,SUM(OrderPrice) FROM Orders GROUP BY Customer,OrderDate;

    15 having 和where 唯一区别就是having子句中可以有函数

    SELECT Customer,SUM(OrderPrice) FROM Orders GROUP BY Customer HAVING SUM(OrderPrice)<2000;
     
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  • 原文地址:https://www.cnblogs.com/weixiaole/p/4253443.html
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