--数据库操作(DDL:Data Definition Languages) --创建数据库(在磁盘上创建一个对应的文件夹) CREATE DATABASE [IF NOT EXISTS ] aggressive2019 [character SET utf8] --查看数据库 SHOW databases; --查看所有数据库 show CREATE DATABASE aggressive2019 --查看数据库的创建方式 ALTER DATABASE aggressive2019 CHARACTER SET utf8 --修改数据库 use aggressive2019;--使用数据库 SELECT database();--查看当前使用的数据库 --数据表操作 CREATE TABLE employee( id INT PRIMARY KEY AUTO_INCREMENT, name VARCHAR(20),gender bit DEFAULT 1, birthday DATE, entry_data date, job VARCHAR(20), salary DOUBLE(4,2) UNSIGNED, resume text); --查看表结构 DESC employee; --查看表结构 SHOW columns from employee; --查看当前数据库表建表语句 SHOW CREATE TABLE employee; --增加列(字段)ALTER ALTER TABLE employee ADD addr VARCHAR(20) NOT NULL UNIQUE AFTER name; --添加多个字段 ALTER TABLE employee ADD age int FIRST , ADD workage VARCHAR(20) AFTER addr; --修改一列类型 modify ALTER TABLE employee MODIFY age TINYINT DEFAULT 20; --修改列名 change ALTER TABLE employee CHANGE age AGE INT DEFAULT 28 FIRST; --删除一列 ALTER TABLE employee DROP addr; --修改表名 RENAME TABLE employee to employee1; --修改表所用的字符集 ALTER TABLE employee CHARACTER SET utf8; --删除表 drop table employee; --添加主键,删除主键 ALTER TABLE employee add PRIMARY KEY(id); ALTER TABLE employee MODIFY id INT AUTO_INCREMENT; --删除主键 alter table employee modify id int; ALTER TABLE employee drop PRIMARY KEY ; --添加唯一索引 ALTER TABLE employee ADD UNIQUE INDEX index_age(age); --添加联合索引 ALTER TABLE employee ADD UNIQUE INDEX name_age(name,age); --删除唯一索引 ALTER TABLE employee DROP INDEX name_age; --创建文章表 CREATE TABLE article( id INT PRIMARY KEY AUTO_INCREMENT, title VARCHAR(20), publish_date INT, click_num INT, is_top TINYINT(1), content TEXT); --完整性约束条件之主键约束(一张表只能有一个主键,非空且唯一,主键类型不一定是非整型) --单字段主键 CREATE TABLE users(id INT PRIMARY KEY , name VARCHAR(20), city VARCHAR(20)); --多字段联合主键 CREATE TABLE users2( id INT, name VARCHAR(20), city VARCHAR(20), PRIMARY KEY (name,id));
--表记录之增、删、改 --增加一条记录 CREATE TABLE employee_new( id INT PRIMARY KEY AUTO_INCREMENT, name VARCHAR(20) not null unique, birthday VARCHAR(20), salary FLOAT(7,2)); INSERT INTO employee_new(id, name, birthday, salary) VALUES (1,'yuan','1990-09-09',9000); INSERT INTO employee_new VALUES (2,'吴西平','1988-08-07',10000); INSERT INTO employee_new (name,salary)VALUES ('xialv',1000); --插入多条数据 INSERT into employee_new values(4,'alvin1','1993-04-20',3000), (5,'alvin2','1995-05-12',5000); INSERT INTO employee_new SET id=12,name='alvin3'; --set 插入法 --修改表记录 UPDATE employee_new SET birthday='1989-10-24' WHERE id=1; --将yuan的薪水在原有的基础上增加1000元 UPDATE employee_new SET salary=salary+1000 where name='yuan'; --删除表记录(delete from employee_new WHERE ...) --删除表中名称为alex的记录 DELETE FROM employee_new WHERE name='alex'; --删除表中所有记录 DELETE from employee_new; --使用truncate删除表中的记录 TRUNCATE table employee_new;
--查询表达式 SELECT *|field1,filed2 ... FROM tab_name WHERE 条件 GROUP BY field HAVING 筛选 ORDER BY field LIMIT 限制条数 CREATE TABLE ExamResult(id INT PRIMARY KEY AUTO_INCREMENT, name VARCHAR(20), JS DOUBLE, Django DOUBLE, OpenStack DOUBLE); INSERT INTO ExamResult VALUES (1,'yuan',98,98,98), (2,'xialv',35,98,67), (3,'alex',59,59,62), (4,'wusir',88,89,82), (5,'alvin',88,98,67), (6,'yuan',86,100,55); --查询表中所有学生的信息 SELECT * FROM ExamResult; --过滤表中的重复数据 SELECT DISTINCT JS FROM ExamResult; --查询表中所有学生的姓名和对应的JS成绩 SELECT name,JS FROM ExamResult; --SELECT 也可以使用表达式,并且可以使用:字段 as 别名或者:字段 别名 SELECT name,JS+10,Django+10,OpenStack+10 FROM ExamResult; --统计每个学生的总分 SELECT name,JS+Django+OpenStack FROM ExamResult; --使用别名表示学生总分 SELECT name as 姓名,JS+Django+OpenStack as 总成绩 FROM ExamResult; select name ,JS+Django+OpenStack 总成绩 FROM ExamResult; SELECT name JS FROM ExamResult;--记得加逗号
--查询姓名为yuan的学生成绩 SELECT * from ExamResult WHERE name='yuan'; --查询JS成绩大于90分的同学 SELECT id,name,JS FROM ExamResult WHERE JS>90; --查询总分大于200分的同学 SELECT name,JS+Django+OpenStack as 总成绩 FROM ExamResult WHERE JS+Django+OpenStack>200; --查询JS分数在70——100之间的同学 SELECT name,JS FROM ExamResult WHERE JS BETWEEN 70 AND 100; --查询Django分数为75,98,77的同学 SELECT name,Django FROM ExamResult WHERE Django in (75,98,77); --查询所有姓王的学生的成绩 SELECT * FROM ExamResult WHERE name like '王%';(如果是%则表示任意多字符,此例如唐僧,唐国强 如果是_则表示一个字符唐_,只有唐僧符合。两个_则表示两个字符:__) --查询JS>90,Django>90的同学 SELECT id,name FROM ExamResult WHERE JS>90 AND Django>90; --查询缺考数学的学生姓名 SELECT name FROM ExamResult WHERE JS is NULL ;
1 --Asc升序、Desc 降序,其中asc为默认值 order by 子句应位于select 语句的结尾 2 --对JS成绩排序后输出 3 SELECT * FROM ExamResult ORDER BY JS; 4 --对总分排序后从高到底的顺序输出 5 SELECT name,JS+Django+OpenStack as 总成绩 FROM ExamResult ORDER BY 总成绩 DESC ; 6 --对姓李学生成绩排序输出 7 SELECT name,JS+Django+OpenStack as 总成绩 FROM ExamResult WHERE name LIKE 'a%' ORDER BY 总成绩 DESC ;
CREATE TABLE order_menu(id INT PRIMARY KEY AUTO_INCREMENT, product_name VARCHAR(20), price FLOAT(6,2), born_date DATE, class VARCHAR(20)); INSERT INTO order_menu (product_name,price,born_date,class) VALUES ("苹果",20,20170612,"水果"), ("香蕉",80,20170602,"水果"), ("水壶",120,20170612,"电器"), ("被罩",70,20170612,"床上用品"), ("音响",420,20170612,"电器"), ("床单",55,20170612,"床上用品"), ("草莓",34,20170612,"水果"); --group by 字句,其后可以接多个列名,也可以跟having子句,对group by的结果进行筛选 --按位置字段进行筛选 select * from order_menu group by 5; --对购物表按类名分组后显示每一组商品的价格总和 SELECT class,sum(price) from order_menu GROUP BY class; --对购物表按类名分组后显示每一组商品价格总和超过150的商品 SELECT class,sum(price) from order_menu GROUP BY class HAVING sum(price)>150; --注意:having 和 where两者都可以对查询结果进行进一步的过滤,差别有: <1>where语句只能用在分组之前的筛选,having可以用在分组之后的筛选; <2>使用where语句的地方都可以用having进行替换 <3>having中可以用聚合函数,where中就不行。 --group_concat()函数 SELECT id,group_concat(name),group_concat(JS) FROM ExamResult group by id;
--统计表中所有记录 --COUNT(列名)统计行的个数 --统计一个班有多少学生,先查出所有学生,再用count包上 select count(*) from ExamResult; --统计JS成绩大于70的学生有多少个 select count(JS) from ExamResult where JS>70; --统计总分大于280的人数有多少个 select count(name) from ExamResult where JS+Django+OpenStack>280;
--统计一个班JS的总成绩,先查出所有JS成绩,再用SUM包上 SELECT sum(JS) AS JS总成绩 FROM ExamResult; --统计一个班各科分别的总成绩 select sum(JS)AS JS总成绩,sum(Django) AS Django总成绩,sum(OpenStack) AS OpenStack总成绩 FROM ExamResult; --统计一个班各科的成绩总和 select sum(ifnull(JS,0)+ifnull(Django,0),+ifnull(OpenStack,0)) AS 总成绩 FROM ExamResult; SELECT sum(JS+OpenStack+Django) AS 总成绩 FROM ExamResult; --统计一个班JS成绩平均分 SELECT sum(JS)/count(*) FROM ExamResult;
--求一个班级JS平均分?先查出所有JS分,然后用avg包上 SELECT avg(JS) FROM ExamResult; --求一个班级总分平均分 SELECT avg(JS+Django+OpenStack) FROM ExamResult; SELECT avg((ifnull(JS,0)+ifnull(Django,0)+ifnull(OpenStack,0))) FROM ExamResult;
--求班级最高分和最低分(数值范围在统计中特别有用) SELECT max(ifnull(JS,0)+ifnull(Django,0)+ifnull(OpenStack,0)) 最高分 FROM ExamResult; SELECT min(ifnull(JS,0)+ifnull(Django,0)+ifnull(OpenStack,0)) 最低分 FROM ExamResult; --求购物表中单价最高的商品名称及价格 SELECT id,max(price) FROM order_menu; SELECT max(price) FROM order_menu;
--注意 Mysql在执行sql语句时的执行顺序: -- from where select group by having order by 分析: SELECT JS as JS成绩 FROM ExamResult WHERE JS成绩>90;不成功 SELECT JS as JS成绩 FROM ExamResult HAVING JS成绩>90;--成功
SELECT * FROM ExamResult LIMIT 2; --按顺序显示两条记录 SELECT * FROM ExamResult LIMIT 2,3;--跳过前两条显示接下来的三条记录 SELECT * FROM ExamResult LIMIT 2,2;
SELECT * FROM ExamResult WHERE name REGEXP 'yu'; SELECT * FROM ExamResult WHERE name REGEXP 'yun$'; SELECT * FROM ExamResult WHERE name REGEXP 'm{2}';
创建外键 --每一个班主任会对应多个学生,而每一个学生只能对应一个班主任 --主表 create table ClassCharger( id tinyint primary key auto_increment, name VARCHAR(20), age INT, is_married boolean ); insert into ClassCharger(name, age, is_married) VALUES ('冰冰',12,0), ('丹丹',14,0), ('歪歪',22,0), ('姗姗',20,0), ('小雨',21,0); --子表(--作为外键一定要和关联主键的数据类型保持一致) create table Student( id INT PRIMARY KEY AUTO_INCREMENT, name VARCHAR(20), charger_id TINYINT) ENGINE =innodb; INSERT INTO Student(name,charger_id) VALUES ("alvin1",2), ("alvin2",4), ("alvin3",1), ("alvin4",3), ("alvin5",1), ("alvin6",3), ("alvin7",2); --增加和删除外键 alter table Student ADD constraint abc foreign key (charger_id) references ClassCharger(id); alter TABLE Student drop FOREIGN KEY abc;
CREATE DATABASE aggressive2020 CHARACTER SET utf8; create table employee(emp_id INT primary key not null, emp_name varchar(50), age int, dept_id int); INSERT into employee(emp_id,emp_name,age,dept_id)VALUES (1,'A',19,200), (2,'B',26,201), (3,'C',30,201), (4,'D',24,202), (5,'E',20,200), (6,'F',38,204); create table department( dept_id int, dept_name varchar(100)); insert into department values (200,'人事部'), (201,'技术部'), (202,'销售部'), (203,'财政部'); --内连接:仅选出两张表中互相匹配的记录,而外连接会先出其他不匹配的记录,最常用的是内连接 -- select * from employee,department where employee.dept_id = department.dept_id; --select * from employee inner join department on employee.dept_id = department.dept_id; 外连接: 左连接:包含所有左边表中的记录甚至是右边表中没有和它匹配的记录 右连接:包含所有右边表中的记录甚至是左边表中没有和它匹配的记录 全外连接:在内连接的基础上增加左边有右边没有和右边有左边没有的结果 select * from employee RIGHT JOIN department on employee.dept_id = department.dept_id UNION select * from employee LEFT JOIN department on employee.dept_id = department.dept_id; 多表查询之复合条件查询 --查询员工年龄大于等于25的部门 select distinct dept_name from employee,department where employee.dept_id =department.dept_id AND age>25; --以内连接的方式查询employee和department表,并且以age字段升序方式显示 SELECT * FROM employee,department WHERE employee.dept_id=department.dept_id ORDER BY age ASC ; --多表查询之子查询 --查询employee表,但dept_id必须在department表中出现过 select * from employee WHERE dept_id in (SELECT dept_id FROM department); --查询员工年龄大于等于25岁的部门 select dept_id,dept_name FROM department WHERE dept_id IN ( SELECT DISTINCT dept_id FROM employee WHERE age>25); select * FROM employee WHERE exists(SELECT dept_name FROM department WHERE dept_id=205);