笛卡尔集
介绍:
表A有m行,表B有n行,查询结果是m*n行。
beauty表:
boys表:
如果想查询女神名称和对应男神名称,肿么办?
语法:SELECT NAME,boyName FROM beauty,boys;
笛卡尔集的错误情况:
SELECT COUNT(*) FROM beauty;假设输出12行
SELECT COUNT(*) FROM boys;假设输出4行
最终结果:12*4=48行
产生条件:
1.省略连接条件。
2.连接条件无效。
3.所有表中的所有行互相连接。
解决办法:
在WHERE加入有效的连接条件。
表的别名
介绍:
1.使用别名可以简化查询。
2.使用表名前缀可以提高执行效率。
示例:
SELECT bt.id,NAME,boyname FROM beauty bt,boys b WHERE bt.boyfriend_id=b.id ;
区分重复的列名
1.使用表名前缀在多个表中区分相同的列。
2.在不同表中具有相同列名的列可以用表的别名加以区分。
3.如果使用了表别名,则在select语句中需要使用表别名代替表名。
4.表别名最多支持32个字符长度,但建议越少越好。
MySQL连接
介绍:
又称多表查询,当查询的字段来自于多个表时,就会用到连接查询。
分类:
年代分类:
sql92标准:仅仅支持内连接。
sql99标准【推荐】:支持内连接+外连接(左外和右外)+交叉连接。
功能分类:
内连接:[inner] join on
等值连接
非等值连接
自连接
外连接:
左外连接:left [outer] join on
右外连接:right [outer] join on
全外连接
交叉连接
SQL99语法
介绍:
1999年推出的sql语法。
语法:
SELECT 字段,...
FROM 表1
【INNER|LEFT OUTER|RIGHT OUTER|CROSS】JOIN 表2 ON 连接条件
【INNER|LEFT OUTER|RIGHT OUTER|CROSS】JOIN 表3 ON 连接条件
【WHERE 筛选条件】
【GROUP BY 分组字段】
【HAVING 分组后的筛选条件】
【ORDER BY 排序的字段或表达式】
分类:
内连接:inner
外连接
左外:left【outer】
右外:right【outer】
全外:full【outer】
交叉连接:cross
好处:
语句上,连接条件和筛选条件实现了分离,简洁明了!
内连接(inner)
语法:
SELECT 查询列表 FROM 表1 别名 INNER JOIN 表2 别名 ON 连接条件;
分类:
等值
非等值
自连接
特点:
1.添加排序、分组、筛选。
2.inner可以省略。
3.筛选条件放在where后面,连接条件放在on后面,提高分离性,便于阅读。
4.inner join连接和sql92语法中的等值连接效果是一样的,都是查询多表的交集。
示例:
#一.等值连接 #案例1:查询员工名、部门名 SELECT last_name,department_name FROM departments d JOIN employees e ON e.department_id = d.department_id; #案例2:查询名字中包含e的员工名和工种名(添加筛选) SELECT last_name,job_title FROM employees e INNER JOIN jobs j ON e.job_id=j.job_id WHERE e.last_name LIKE '%e%'; #案例3:查询部门个数>3的城市名和部门个数(添加分组+筛选) #①查询每个城市的部门个数 #②在①结果上筛选满足条件的 SELECT city,COUNT(*) 部门个数 FROM departments d INNER JOIN locations l ON d.location_id=l.location_id GROUP BY city HAVING COUNT(*)>3; #案例4:查询哪个部门的员工个数>3的部门名和员工个数,并按个数降序(添加排序) #①查询每个部门的员工个数 SELECT COUNT(*),department_name FROM employees e INNER JOIN departments d ON e.department_id=d.department_id GROUP BY department_name; #②在①结果上筛选员工个数>3的记录并排序 SELECT COUNT(*) 个数,department_name FROM employees e INNER JOIN departments d ON e.department_id=d.department_id GROUP BY department_name HAVING COUNT(*)>3 ORDER BY COUNT(*) DESC; #案例5:查询员工名、部门名、工种名,并按部门名降序(添加三表连接) SELECT last_name,department_name,job_title FROM employees e INNER JOIN departments d ON e.department_id=d.department_id INNER JOIN jobs j ON e.job_id = j.job_id ORDER BY department_name DESC; #二.非等值连接 #案例1:查询员工的工资级别 SELECT salary,job_title FROM employees e JOIN jobs g ON e.salary BETWEEN g.min_salary AND g.max_salary; #案例2:查询工资级别的个数>20的个数,并且按工资级别降序 SELECT COUNT(*),job_title FROM employees e JOIN jobs g ON e.salary BETWEEN g.min_salary AND g.max_salary GROUP BY job_title HAVING COUNT(*)>20 ORDER BY job_title DESC; #三.自连接 #案例1:查询员工的名字、上级的名字 SELECT e.last_name,m.last_name FROM employees e JOIN employees m ON e.manager_id= m.employee_id; #案例2:查询姓名中包含字符k的员工的名字、上级的名字 SELECT e.last_name,m.last_name FROM employees e JOIN employees m ON e.manager_id= m.employee_id WHERE e.last_name LIKE '%k%';
外连接
介绍:
主要用于查询一个表中有,另一个表没有的记录。
分类:
左外:left【outer】
右外:right【outer】
全外:full【outer】
特点:
1.外连接的查询结果为主表中的所有记录。
如果从表中有和它匹配的,则显示匹配的值。
如果从表中没有和它匹配的,则显示null。
外连接查询结果=内连接结果+主表中有而从表没有的记录。
2.左外连接,left join左边的是主表。
右外连接,right join右边的是主表。
3.左外和右外交换两个表的顺序,可以实现同样的效果。
4.全外连接=内连接的结果+表1中有但表2没有的+表2中有但表1没有的。
示例:
#左外连接 SELECT b.*,bo.* FROM boys bo LEFT OUTER JOIN beauty b ON b.boyfriend_id = bo.id WHERE b.id IS NULL; #案例1:查询哪个部门没有员工 #左外 SELECT d.*,e.employee_id FROM departments d LEFT OUTER JOIN employees e ON d.department_id = e.department_id WHERE e.employee_id IS NULL; #右外 SELECT d.*,e.employee_id FROM employees e RIGHT OUTER JOIN departments d ON d.department_id = e.department_id WHERE e.employee_id IS NULL; #全外mysql不支持 SELECT b.*,bo.* FROM beauty b FULL OUTER JOIN boys bo ON b.boyfriend_id = bo.id;
交叉连接
介绍:
一般用来返回连接表的笛卡尔积。
语法:
SELECT 查询列表 FROM 表1 别名 CROSS JOIN 表2 别名 WHERE子句;
或
SELECT 查询列表 FROM 表1,表2 WHERE子句;
示例:
#交叉连接 SELECT b.*,bo.* FROM beauty b CROSS JOIN boys bo;
图解JOIN
SELECT <select_list> FROM A LEFT JOIN B ON A.key=B.key;
SELECT <select_list> FROM A INNER JOIN B ON A.key=B.key;
SELECT <select_list> FROM A RIGHT JOIN B ON A.key=B.key;
SELECT <select_list> FROM A LEFT JOIN B ON A.key=B.key WHERE B.key is null;
SELECT <select_list> FROM A RIGHT JOIN B ON A.key=B.key WHERE A.key is null;
SELECT <select_list> FROM A FULL JOIN B ON A.key=B.key;
SELECT <select_list> FROM A FULL JOIN B ON A.key=B.key WHERE A.key is null OR B.key is null;
案例讲解
#1.显示所有员工的姓名,部门号和部门名称 SELECT last_name,d.department_id,department_name FROM employees e,departments d WHERE e.department_id = d.department_id; #2.查询90号部门员工的job_id和90号部门的location_id SELECT job_id,location_id FROM employees e,departments d WHERE e.department_id=d.department_id AND e.department_id=90; #3.选择所有有奖金的员工的last_name、department_name、location_id、city SELECT last_name, department_name, l.location_id, city FROM employees e,departments d,locations l WHERE e.department_id = d.department_id AND d.location_id=l.location_id AND e.commission_pct IS NOT NULL; #4.选择city在Toronto工作的员工的last_name、job_id、department_id、department_name SELECT last_name, job_id, d.department_id, department_name FROM employees e,departments d ,locations l WHERE e.department_id = d.department_id AND d.location_id=l.location_id AND city = 'Toronto'; #5.查询每个工种、每个部门的部门名、工种名和最低工资 SELECT department_name,job_title,MIN(salary) 最低工资 FROM employees e,departments d,jobs j WHERE e.department_id=d.department_id AND e.job_id=j.job_id GROUP BY department_name,job_title; #6.查询每个国家下的部门个数大于2的国家编号 SELECT country_id,COUNT(*) 部门个数 FROM departments d,locations l WHERE d.location_id=l.location_id GROUP BY country_id HAVING 部门个数>2; #7.选择指定员工的姓名,员工号,以及他的管理者的姓名和员工号 /* * 结果类似于下面的格式: * employees Emp# manager Mgr# * kochhar 101 king 100 */ SELECT e.last_name employees,e.employee_id "Emp#",m.last_name manager,m.employee_id "Mgr#" FROM employees e,employees m WHERE e.manager_id = m.employee_id AND e.last_name='kochhar'; #8.查询编号>3的女神的男朋友信息,如果有则列出详细,如果没有,用null填充 SELECT b.id,b.name,bo.* FROM beauty b LEFT OUTER JOIN boys bo ON b.boyfriend_id = bo.id WHERE b.id>3; #9.查询哪个城市没有部门 SELECT city FROM departments d RIGHT OUTER JOIN locations l ON d.location_id=l.location_id WHERE d.department_id IS NULL; #10.查询部门名为SAL或IT的员工信息 SELECT e.*,d.department_name,d.department_id FROM departments d LEFT JOIN employees e ON d.department_id = e.department_id WHERE d.department_name IN('SAL','IT'); SELECT * FROM departments WHERE department_name IN('SAL','IT');
测试数据
#beauty表 CREATE TABLE beauty ( id int(100) NOT NULL AUTO_INCREMENT, name varchar(255) DEFAULT NULL, sex varchar(255) DEFAULT NULL, boyfriend_id varchar(255) DEFAULT NULL, PRIMARY KEY (id) ) ENGINE=InnoDB AUTO_INCREMENT=13 DEFAULT CHARSET=utf8; #beauty数据 INSERT INTO beauty VALUES ('1', '柳岩', '女', '8'); INSERT INTO beauty VALUES ('2', '苍老师', '女', '9'); INSERT INTO beauty VALUES ('3', 'Angelababy', '女', '3'); INSERT INTO beauty VALUES ('4', '热巴', '女', '2'); INSERT INTO beauty VALUES ('5', '周冬际', '女', '9'); INSERT INTO beauty VALUES ('6', '周芷若', '女', '1'); INSERT INTO beauty VALUES ('7', '岳灵珊', '女', '9'); INSERT INTO beauty VALUES ('8', '小昭', '女', '1'); INSERT INTO beauty VALUES ('9', '双儿', '女', '9'); INSERT INTO beauty VALUES ('10', '王语嫣', '女', '4'); INSERT INTO beauty VALUES ('11', '夏雪', '女', '9'); INSERT INTO beauty VALUES ('12', '赵敏', '女', '1'); #boys表 CREATE TABLE boys ( id int(100) NOT NULL AUTO_INCREMENT, boyName varchar(255) DEFAULT NULL, userCP varchar(255) DEFAULT NULL, PRIMARY KEY (id) ) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8; #boys数据 INSERT INTO boys VALUES ('1', '张无忌', '100'); INSERT INTO boys VALUES ('2', '鹿晗', '800'); INSERT INTO boys VALUES ('3', '黄晓明', '50'); INSERT INTO boys VALUES ('4', '段誉', '300'); #departments表 CREATE TABLE departments ( department_id int(4) NOT NULL AUTO_INCREMENT, department_name varchar(3) DEFAULT NULL, manager_id int(6) DEFAULT NULL, location_id int(4) DEFAULT NULL, PRIMARY KEY (department_id), KEY loc_id_fk (location_id), CONSTRAINT loc_id_fk FOREIGN KEY (location_id) REFERENCES locations (location_id) ) ENGINE=InnoDB AUTO_INCREMENT=271 DEFAULT CHARSET=gb2312; #departments数据 INSERT INTO departments VALUES ('10', 'Adm', '200', '1700'); INSERT INTO departments VALUES ('20', 'Mar', '201', '1800'); INSERT INTO departments VALUES ('30', 'Pur', '114', '1700'); INSERT INTO departments VALUES ('40', 'Hum', '203', '2400'); INSERT INTO departments VALUES ('50', 'Shi', '121', '1500'); INSERT INTO departments VALUES ('60', 'IT', '103', '1400'); INSERT INTO departments VALUES ('70', 'Pub', '204', '2700'); INSERT INTO departments VALUES ('80', 'Sal', '145', '2500'); INSERT INTO departments VALUES ('90', 'Exe', '100', '1700'); INSERT INTO departments VALUES ('100', 'Fin', '108', '1700'); INSERT INTO departments VALUES ('110', 'Acc', '205', '1700'); INSERT INTO departments VALUES ('120', 'Tre', null, '1700'); INSERT INTO departments VALUES ('130', 'Cor', null, '1700'); INSERT INTO departments VALUES ('140', 'Con', null, '1700'); INSERT INTO departments VALUES ('150', 'Sha', null, '1700'); INSERT INTO departments VALUES ('160', 'Ben', null, '1700'); INSERT INTO departments VALUES ('170', 'Man', null, '1700'); INSERT INTO departments VALUES ('180', 'Con', null, '1700'); INSERT INTO departments VALUES ('190', 'Con', null, '1700'); INSERT INTO departments VALUES ('200', 'Ope', null, '1700'); INSERT INTO departments VALUES ('210', 'IT ', null, '1700'); INSERT INTO departments VALUES ('220', 'NOC', null, '1700'); INSERT INTO departments VALUES ('230', 'IT ', null, '1700'); INSERT INTO departments VALUES ('240', 'Gov', null, '1700'); INSERT INTO departments VALUES ('250', 'Ret', null, '1700'); INSERT INTO departments VALUES ('260', 'Rec', null, '1700'); INSERT INTO departments VALUES ('270', 'Pay', null, '1700'); #employees表 CREATE TABLE employees ( employee_id int(6) NOT NULL AUTO_INCREMENT, first_name varchar(20) DEFAULT NULL, last_name varchar(25) DEFAULT NULL, email varchar(25) DEFAULT NULL, phone_number varchar(20) DEFAULT NULL, job_id varchar(10) DEFAULT NULL, salary double(10,2) DEFAULT NULL, commission_pct double(4,2) DEFAULT NULL, manager_id int(6) DEFAULT NULL, department_id int(4) DEFAULT NULL, hiredate datetime DEFAULT NULL, PRIMARY KEY (employee_id) ) ENGINE=InnoDB AUTO_INCREMENT=207 DEFAULT CHARSET=utf8; #employees数据 INSERT INTO employees VALUES ('100', 'Steven', 'K_ing', 'SKING', '515.123.4567', 'AD_PRES', '24000.00', null, null, '90', '1992-04-03 00:00:00'); INSERT INTO employees VALUES ('101', 'Neena', 'Kochhar', 'NKOCHHAR', '515.123.4568', 'AD_VP', '17000.00', null, '100', '90', '1992-04-03 00:00:00'); INSERT INTO employees VALUES ('102', 'Lex', 'De Haan', 'LDEHAAN', '515.123.4569', 'AD_VP', '17000.00', null, '100', '90', '1992-04-03 00:00:00'); INSERT INTO employees VALUES ('103', 'Alexander', 'Hunold', 'AHUNOLD', '590.423.4567', 'IT_PROG', '9000.00', null, '102', '60', '1992-04-03 00:00:00'); INSERT INTO employees VALUES ('104', 'Bruce', 'Ernst', 'BERNST', '590.423.4568', 'IT_PROG', '6000.00', null, '103', '60', '1992-04-03 00:00:00'); INSERT INTO employees VALUES ('105', 'David', 'Austin', 'DAUSTIN', '590.423.4569', 'IT_PROG', '4800.00', null, '103', '60', '1998-03-03 00:00:00'); INSERT INTO employees VALUES ('106', 'Valli', 'Pataballa', 'VPATABAL', '590.423.4560', 'IT_PROG', '4800.00', null, '103', '60', '1998-03-03 00:00:00'); INSERT INTO employees VALUES ('107', 'Diana', 'Lorentz', 'DLORENTZ', '590.423.5567', 'IT_PROG', '4200.00', null, '103', '60', '1998-03-03 00:00:00'); INSERT INTO employees VALUES ('108', 'Nancy', 'Greenberg', 'NGREENBE', '515.124.4569', 'FI_MGR', '12000.00', null, '101', '100', '1998-03-03 00:00:00'); INSERT INTO employees VALUES ('109', 'Daniel', 'Faviet', 'DFAVIET', '515.124.4169', 'FI_ACCOUNT', '9000.00', null, '108', '100', '1998-03-03 00:00:00'); INSERT INTO employees VALUES ('110', 'John', 'Chen', 'JCHEN', '515.124.4269', 'FI_ACCOUNT', '8200.00', null, '108', '100', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('111', 'Ismael', 'Sciarra', 'ISCIARRA', '515.124.4369', 'FI_ACCOUNT', '7700.00', null, '108', '100', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('112', 'Jose Manuel', 'Urman', 'JMURMAN', '515.124.4469', 'FI_ACCOUNT', '7800.00', null, '108', '100', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('113', 'Luis', 'Popp', 'LPOPP', '515.124.4567', 'FI_ACCOUNT', '6900.00', null, '108', '100', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('114', 'Den', 'Raphaely', 'DRAPHEAL', '515.127.4561', 'PU_MAN', '11000.00', null, '100', '30', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('115', 'Alexander', 'Khoo', 'AKHOO', '515.127.4562', 'PU_CLERK', '3100.00', null, '114', '30', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('116', 'Shelli', 'Baida', 'SBAIDA', '515.127.4563', 'PU_CLERK', '2900.00', null, '114', '30', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('117', 'Sigal', 'Tobias', 'STOBIAS', '515.127.4564', 'PU_CLERK', '2800.00', null, '114', '30', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('118', 'Guy', 'Himuro', 'GHIMURO', '515.127.4565', 'PU_CLERK', '2600.00', null, '114', '30', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('119', 'Karen', 'Colmenares', 'KCOLMENA', '515.127.4566', 'PU_CLERK', '2500.00', null, '114', '30', '2000-09-09 00:00:00'); INSERT INTO employees VALUES ('120', 'Matthew', 'Weiss', 'MWEISS', '650.123.1234', 'ST_MAN', '8000.00', null, '100', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('121', 'Adam', 'Fripp', 'AFRIPP', '650.123.2234', 'ST_MAN', '8200.00', null, '100', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('122', 'Payam', 'Kaufling', 'PKAUFLIN', '650.123.3234', 'ST_MAN', '7900.00', null, '100', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('123', 'Shanta', 'Vollman', 'SVOLLMAN', '650.123.4234', 'ST_MAN', '6500.00', null, '100', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('124', 'Kevin', 'Mourgos', 'KMOURGOS', '650.123.5234', 'ST_MAN', '5800.00', null, '100', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('125', 'Julia', 'Nayer', 'JNAYER', '650.124.1214', 'ST_CLERK', '3200.00', null, '120', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('126', 'Irene', 'Mikkilineni', 'IMIKKILI', '650.124.1224', 'ST_CLERK', '2700.00', null, '120', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('127', 'James', 'Landry', 'JLANDRY', '650.124.1334', 'ST_CLERK', '2400.00', null, '120', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('128', 'Steven', 'Markle', 'SMARKLE', '650.124.1434', 'ST_CLERK', '2200.00', null, '120', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('129', 'Laura', 'Bissot', 'LBISSOT', '650.124.5234', 'ST_CLERK', '3300.00', null, '121', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('130', 'Mozhe', 'Atkinson', 'MATKINSO', '650.124.6234', 'ST_CLERK', '2800.00', null, '121', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('131', 'James', 'Marlow', 'JAMRLOW', '650.124.7234', 'ST_CLERK', '2500.00', null, '121', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('132', 'TJ', 'Olson', 'TJOLSON', '650.124.8234', 'ST_CLERK', '2100.00', null, '121', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('133', 'Jason', 'Mallin', 'JMALLIN', '650.127.1934', 'ST_CLERK', '3300.00', null, '122', '50', '2004-02-06 00:00:00'); INSERT INTO employees VALUES ('134', 'Michael', 'Rogers', 'MROGERS', '650.127.1834', 'ST_CLERK', '2900.00', null, '122', '50', '2002-12-23 00:00:00'); INSERT INTO employees VALUES ('135', 'Ki', 'Gee', 'KGEE', '650.127.1734', 'ST_CLERK', '2400.00', null, '122', '50', '2002-12-23 00:00:00'); INSERT INTO employees VALUES ('136', 'Hazel', 'Philtanker', 'HPHILTAN', '650.127.1634', 'ST_CLERK', '2200.00', null, '122', '50', '2002-12-23 00:00:00'); INSERT INTO employees VALUES ('137', 'Renske', 'Ladwig', 'RLADWIG', '650.121.1234', 'ST_CLERK', '3600.00', null, '123', '50', '2002-12-23 00:00:00'); INSERT INTO employees VALUES ('138', 'Stephen', 'Stiles', 'SSTILES', '650.121.2034', 'ST_CLERK', '3200.00', null, '123', '50', '2002-12-23 00:00:00'); INSERT INTO employees VALUES ('139', 'John', 'Seo', 'JSEO', '650.121.2019', 'ST_CLERK', '2700.00', null, '123', '50', '2002-12-23 00:00:00'); INSERT INTO employees VALUES ('140', 'Joshua', 'Patel', 'JPATEL', '650.121.1834', 'ST_CLERK', '2500.00', null, '123', '50', '2002-12-23 00:00:00'); INSERT INTO employees VALUES ('171', 'William', 'Smith', 'WSMITH', '011.44.1343.629268', 'SA_REP', '7400.00', '0.15', '148', '80', '2014-03-05 00:00:00'); INSERT INTO employees VALUES ('172', 'Elizabeth', 'Bates', 'EBATES', '011.44.1343.529268', 'SA_REP', '7300.00', '0.15', '148', '80', '2014-03-05 00:00:00'); INSERT INTO employees VALUES ('173', 'Sundita', 'Kumar', 'SKUMAR', '011.44.1343.329268', 'SA_REP', '6100.00', '0.10', '148', '80', '2014-03-05 00:00:00'); INSERT INTO employees VALUES ('201', 'Michael', 'Hartstein', 'MHARTSTE', '515.123.5555', 'MK_MAN', '13000.00', null, '100', '20', '2016-03-03 00:00:00'); INSERT INTO employees VALUES ('202', 'Pat', 'Fay', 'PFAY', '603.123.6666', 'MK_REP', '6000.00', null, '201', '20', '2016-03-03 00:00:00'); INSERT INTO employees VALUES ('203', 'Susan', 'Mavris', 'SMAVRIS', '515.123.7777', 'HR_REP', '6500.00', null, '101', '40', '2016-03-03 00:00:00'); INSERT INTO employees VALUES ('204', 'Hermann', 'Baer', 'HBAER', '515.123.8888', 'PR_REP', '10000.00', null, '101', '70', '2016-03-03 00:00:00'); INSERT INTO employees VALUES ('205', 'Shelley', 'Higgins', 'SHIGGINS', '515.123.8080', 'AC_MGR', '12000.00', null, '101', '110', '2016-03-03 00:00:00'); INSERT INTO employees VALUES ('206', 'William', 'Gietz', 'WGIETZ', '515.123.8181', 'AC_ACCOUNT', '8300.00', null, '205', '110', '2016-03-03 00:00:00'); #jobs表 CREATE TABLE jobs ( job_id varchar(10) NOT NULL, job_title varchar(35) DEFAULT NULL, min_salary int(6) DEFAULT NULL, max_salary int(6) DEFAULT NULL, PRIMARY KEY (job_id) ) ENGINE=InnoDB DEFAULT CHARSET=gb2312; #jobs数据 INSERT INTO jobs VALUES ('AC_ACCOUNT', 'Public Accountant', '4200', '9000'); INSERT INTO jobs VALUES ('AC_MGR', 'Accounting Manager', '8200', '16000'); INSERT INTO jobs VALUES ('AD_ASST', 'Administration Assistant', '3000', '6000'); INSERT INTO jobs VALUES ('AD_PRES', 'President', '20000', '40000'); INSERT INTO jobs VALUES ('AD_VP', 'Administration Vice President', '15000', '30000'); INSERT INTO jobs VALUES ('FI_ACCOUNT', 'Accountant', '4200', '9000'); INSERT INTO jobs VALUES ('FI_MGR', 'Finance Manager', '8200', '16000'); INSERT INTO jobs VALUES ('HR_REP', 'Human Resources Representative', '4000', '9000'); INSERT INTO jobs VALUES ('IT_PROG', 'Programmer', '4000', '10000'); INSERT INTO jobs VALUES ('MK_MAN', 'Marketing Manager', '9000', '15000'); INSERT INTO jobs VALUES ('MK_REP', 'Marketing Representative', '4000', '9000'); INSERT INTO jobs VALUES ('PR_REP', 'Public Relations Representative', '4500', '10500'); INSERT INTO jobs VALUES ('PU_CLERK', 'Purchasing Clerk', '2500', '5500'); INSERT INTO jobs VALUES ('PU_MAN', 'Purchasing Manager', '8000', '15000'); INSERT INTO jobs VALUES ('SA_MAN', 'Sales Manager', '10000', '20000'); INSERT INTO jobs VALUES ('SA_REP', 'Sales Representative', '6000', '12000'); INSERT INTO jobs VALUES ('SH_CLERK', 'Shipping Clerk', '2500', '5500'); INSERT INTO jobs VALUES ('ST_CLERK', 'Stock Clerk', '2000', '5000'); INSERT INTO jobs VALUES ('ST_MAN', 'Stock Manager', '5500', '8500'); #locations表 CREATE TABLE locations ( location_id int(11) NOT NULL AUTO_INCREMENT, street_address varchar(40) DEFAULT NULL, postal_code varchar(12) DEFAULT NULL, city varchar(30) DEFAULT NULL, state_province varchar(25) DEFAULT NULL, country_id varchar(2) DEFAULT NULL, PRIMARY KEY (location_id) ) ENGINE=InnoDB AUTO_INCREMENT=3201 DEFAULT CHARSET=gb2312; #locations数据 INSERT INTO locations VALUES ('1000', '1297 Via Cola di Rie', '00989', 'Roma', null, 'IT'); INSERT INTO locations VALUES ('1100', '93091 Calle della Testa', '10934', 'Venice', null, 'IT'); INSERT INTO locations VALUES ('1200', '2017 Shinjuku-ku', '1689', 'Tokyo', 'Tokyo Prefecture', 'JP'); INSERT INTO locations VALUES ('1300', '9450 Kamiya-cho', '6823', 'Hiroshima', null, 'JP'); INSERT INTO locations VALUES ('1400', '2014 Jabberwocky Rd', '26192', 'Southlake', 'Texas', 'US'); INSERT INTO locations VALUES ('1500', '2011 Interiors Blvd', '99236', 'South San Francisco', 'California', 'US'); INSERT INTO locations VALUES ('1600', '2007 Zagora St', '50090', 'South Brunswick', 'New Jersey', 'US'); INSERT INTO locations VALUES ('1700', '2004 Charade Rd', '98199', 'Seattle', 'Washington', 'US'); INSERT INTO locations VALUES ('1800', '147 Spadina Ave', 'M5V 2L7', 'Toronto', 'Ontario', 'CA'); INSERT INTO locations VALUES ('1900', '6092 Boxwood St', 'YSW 9T2', 'Whitehorse', 'Yukon', 'CA'); INSERT INTO locations VALUES ('2000', '40-5-12 Laogianggen', '190518', 'Beijing', null, 'CN'); INSERT INTO locations VALUES ('2100', '1298 Vileparle (E)', '490231', 'Bombay', 'Maharashtra', 'IN'); INSERT INTO locations VALUES ('2200', '12-98 Victoria Street', '2901', 'Sydney', 'New South Wales', 'AU'); INSERT INTO locations VALUES ('2300', '198 Clementi North', '540198', 'Singapore', null, 'SG'); INSERT INTO locations VALUES ('2400', '8204 Arthur St', null, 'London', null, 'UK'); INSERT INTO locations VALUES ('2500', 'Magdalen Centre, The Oxford Science Park', 'OX9 9ZB', 'Oxford', 'Oxford', 'UK'); INSERT INTO locations VALUES ('2600', '9702 Chester Road', '09629850293', 'Stretford', 'Manchester', 'UK'); INSERT INTO locations VALUES ('2700', 'Schwanthalerstr. 7031', '80925', 'Munich', 'Bavaria', 'DE'); INSERT INTO locations VALUES ('2800', 'Rua Frei Caneca 1360 ', '01307-002', 'Sao Paulo', 'Sao Paulo', 'BR'); INSERT INTO locations VALUES ('2900', '20 Rue des Corps-Saints', '1730', 'Geneva', 'Geneve', 'CH'); INSERT INTO locations VALUES ('3000', 'Murtenstrasse 921', '3095', 'Bern', 'BE', 'CH'); INSERT INTO locations VALUES ('3100', 'Pieter Breughelstraat 837', '3029SK', 'Utrecht', 'Utrecht', 'NL'); INSERT INTO locations VALUES ('3200', 'Mariano Escobedo 9991', '11932', 'Mexico City', 'Distrito Federal,', 'MX');