MySQL之多表查询（DQL）

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');