1.首先运行代码块1创建employees表，方便后续使用
代码块1
/*
SQLyog Ultimate v10.00 Beta1
MySQL - 5.5.15 : Database - myemployees
*********************************************************************
*/
/*!40101 SET NAMES utf8 */;
/*!40101 SET SQL_MODE=''*/;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
CREATE DATABASE /*!32312 IF NOT EXISTS*/`myemployees` /*!40100 DEFAULT CHARACTER SET gb2312 */;
USE `myemployees`;
/*Table structure for table `departments` */
DROP TABLE IF EXISTS `departments`;
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;
/*Data for the table `departments` */
insert into `departments`(`department_id`,`department_name`,`manager_id`,`location_id`) values (10,'Adm',200,1700),(20,'Mar',201,1800),(30,'Pur',114,1700),(40,'Hum',203,2400),(50,'Shi',121,1500),(60,'IT',103,1400),(70,'Pub',204,2700),(80,'Sal',145,2500),(90,'Exe',100,1700),(100,'Fin',108,1700),(110,'Acc',205,1700),(120,'Tre',NULL,1700),(130,'Cor',NULL,1700),(140,'Con',NULL,1700),(150,'Sha',NULL,1700),(160,'Ben',NULL,1700),(170,'Man',NULL,1700),(180,'Con',NULL,1700),(190,'Con',NULL,1700),(200,'Ope',NULL,1700),(210,'IT ',NULL,1700),(220,'NOC',NULL,1700),(230,'IT ',NULL,1700),(240,'Gov',NULL,1700),(250,'Ret',NULL,1700),(260,'Rec',NULL,1700),(270,'Pay',NULL,1700);
/*Table structure for table `employees` */
DROP TABLE IF EXISTS `employees`;
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`),
KEY `dept_id_fk` (`department_id`),
KEY `job_id_fk` (`job_id`),
CONSTRAINT `dept_id_fk` FOREIGN KEY (`department_id`) REFERENCES `departments` (`department_id`),
CONSTRAINT `job_id_fk` FOREIGN KEY (`job_id`) REFERENCES `jobs` (`job_id`)
) ENGINE=InnoDB AUTO_INCREMENT=207 DEFAULT CHARSET=gb2312;
/*Data for the table `employees` */
insert into `employees`(`employee_id`,`first_name`,`last_name`,`email`,`phone_number`,`job_id`,`salary`,`commission_pct`,`manager_id`,`department_id`,`hiredate`) values (100,'Steven','K_ing','SKING','515.123.4567','AD_PRES',24000.00,NULL,NULL,90,'1992-04-03 00:00:00'),(101,'Neena','Kochhar','NKOCHHAR','515.123.4568','AD_VP',17000.00,NULL,100,90,'1992-04-03 00:00:00'),(102,'Lex','De Haan','LDEHAAN','515.123.4569','AD_VP',17000.00,NULL,100,90,'1992-04-03 00:00:00'),(103,'Alexander','Hunold','AHUNOLD','590.423.4567','IT_PROG',9000.00,NULL,102,60,'1992-04-03 00:00:00'),(104,'Bruce','Ernst','BERNST','590.423.4568','IT_PROG',6000.00,NULL,103,60,'1992-04-03 00:00:00'),(105,'David','Austin','DAUSTIN','590.423.4569','IT_PROG',4800.00,NULL,103,60,'1998-03-03 00:00:00'),(106,'Valli','Pataballa','VPATABAL','590.423.4560','IT_PROG',4800.00,NULL,103,60,'1998-03-03 00:00:00'),(107,'Diana','Lorentz','DLORENTZ','590.423.5567','IT_PROG',4200.00,NULL,103,60,'1998-03-03 00:00:00'),(108,'Nancy','Greenberg','NGREENBE','515.124.4569','FI_MGR',12000.00,NULL,101,100,'1998-03-03 00:00:00'),(109,'Daniel','Faviet','DFAVIET','515.124.4169','FI_ACCOUNT',9000.00,NULL,108,100,'1998-03-03 00:00:00'),(110,'John','Chen','JCHEN','515.124.4269','FI_ACCOUNT',8200.00,NULL,108,100,'2000-09-09 00:00:00'),(111,'Ismael','Sciarra','ISCIARRA','515.124.4369','FI_ACCOUNT',7700.00,NULL,108,100,'2000-09-09 00:00:00'),(112,'Jose Manuel','Urman','JMURMAN','515.124.4469','FI_ACCOUNT',7800.00,NULL,108,100,'2000-09-09 00:00:00'),(113,'Luis','Popp','LPOPP','515.124.4567','FI_ACCOUNT',6900.00,NULL,108,100,'2000-09-09 00:00:00'),(114,'Den','Raphaely','DRAPHEAL','515.127.4561','PU_MAN',11000.00,NULL,100,30,'2000-09-09 00:00:00'),(115,'Alexander','Khoo','AKHOO','515.127.4562','PU_CLERK',3100.00,NULL,114,30,'2000-09-09 00:00:00'),(116,'Shelli','Baida','SBAIDA','515.127.4563','PU_CLERK',2900.00,NULL,114,30,'2000-09-09 00:00:00'),(117,'Sigal','Tobias','STOBIAS','515.127.4564','PU_CLERK',2800.00,NULL,114,30,'2000-09-09 00:00:00'),(118,'Guy','Himuro','GHIMURO','515.127.4565','PU_CLERK',2600.00,NULL,114,30,'2000-09-09 00:00:00'),(119,'Karen','Colmenares','KCOLMENA','515.127.4566','PU_CLERK',2500.00,NULL,114,30,'2000-09-09 00:00:00'),(120,'Matthew','Weiss','MWEISS','650.123.1234','ST_MAN',8000.00,NULL,100,50,'2004-02-06 00:00:00'),(121,'Adam','Fripp','AFRIPP','650.123.2234','ST_MAN',8200.00,NULL,100,50,'2004-02-06 00:00:00'),(122,'Payam','Kaufling','PKAUFLIN','650.123.3234','ST_MAN',7900.00,NULL,100,50,'2004-02-06 00:00:00'),(123,'Shanta','Vollman','SVOLLMAN','650.123.4234','ST_MAN',6500.00,NULL,100,50,'2004-02-06 00:00:00'),(124,'Kevin','Mourgos','KMOURGOS','650.123.5234','ST_MAN',5800.00,NULL,100,50,'2004-02-06 00:00:00'),(125,'Julia','Nayer','JNAYER','650.124.1214','ST_CLERK',3200.00,NULL,120,50,'2004-02-06 00:00:00'),(126,'Irene','Mikkilineni','IMIKKILI','650.124.1224','ST_CLERK',2700.00,NULL,120,50,'2004-02-06 00:00:00'),(127,'James','Landry','JLANDRY','650.124.1334','ST_CLERK',2400.00,NULL,120,50,'2004-02-06 00:00:00'),(128,'Steven','Markle','SMARKLE','650.124.1434','ST_CLERK',2200.00,NULL,120,50,'2004-02-06 00:00:00'),(129,'Laura','Bissot','LBISSOT','650.124.5234','ST_CLERK',3300.00,NULL,121,50,'2004-02-06 00:00:00'),(130,'Mozhe','Atkinson','MATKINSO','650.124.6234','ST_CLERK',2800.00,NULL,121,50,'2004-02-06 00:00:00'),(131,'James','Marlow','JAMRLOW','650.124.7234','ST_CLERK',2500.00,NULL,121,50,'2004-02-06 00:00:00'),(132,'TJ','Olson','TJOLSON','650.124.8234','ST_CLERK',2100.00,NULL,121,50,'2004-02-06 00:00:00'),(133,'Jason','Mallin','JMALLIN','650.127.1934','ST_CLERK',3300.00,NULL,122,50,'2004-02-06 00:00:00'),(134,'Michael','Rogers','MROGERS','650.127.1834','ST_CLERK',2900.00,NULL,122,50,'2002-12-23 00:00:00'),(135,'Ki','Gee','KGEE','650.127.1734','ST_CLERK',2400.00,NULL,122,50,'2002-12-23 00:00:00'),(136,'Hazel','Philtanker','HPHILTAN','650.127.1634','ST_CLERK',2200.00,NULL,122,50,'2002-12-23 00:00:00'),(137,'Renske','Ladwig','RLADWIG','650.121.1234','ST_CLERK',3600.00,NULL,123,50,'2002-12-23 00:00:00'),(138,'Stephen','Stiles','SSTILES','650.121.2034','ST_CLERK',3200.00,NULL,123,50,'2002-12-23 00:00:00'),(139,'John','Seo','JSEO','650.121.2019','ST_CLERK',2700.00,NULL,123,50,'2002-12-23 00:00:00'),(140,'Joshua','Patel','JPATEL','650.121.1834','ST_CLERK',2500.00,NULL,123,50,'2002-12-23 00:00:00'),(141,'Trenna','Rajs','TRAJS','650.121.8009','ST_CLERK',3500.00,NULL,124,50,'2002-12-23 00:00:00'),(142,'Curtis','Davies','CDAVIES','650.121.2994','ST_CLERK',3100.00,NULL,124,50,'2002-12-23 00:00:00'),(143,'Randall','Matos','RMATOS','650.121.2874','ST_CLERK',2600.00,NULL,124,50,'2002-12-23 00:00:00'),(144,'Peter','Vargas','PVARGAS','650.121.2004','ST_CLERK',2500.00,NULL,124,50,'2002-12-23 00:00:00'),(145,'John','Russell','JRUSSEL','011.44.1344.429268','SA_MAN',14000.00,0.40,100,80,'2002-12-23 00:00:00'),(146,'Karen','Partners','KPARTNER','011.44.1344.467268','SA_MAN',13500.00,0.30,100,80,'2002-12-23 00:00:00'),(147,'Alberto','Errazuriz','AERRAZUR','011.44.1344.429278','SA_MAN',12000.00,0.30,100,80,'2002-12-23 00:00:00'),(148,'Gerald','Cambrault','GCAMBRAU','011.44.1344.619268','SA_MAN',11000.00,0.30,100,80,'2002-12-23 00:00:00'),(149,'Eleni','Zlotkey','EZLOTKEY','011.44.1344.429018','SA_MAN',10500.00,0.20,100,80,'2002-12-23 00:00:00'),(150,'Peter','Tucker','PTUCKER','011.44.1344.129268','SA_REP',10000.00,0.30,145,80,'2014-03-05 00:00:00'),(151,'David','Bernstein','DBERNSTE','011.44.1344.345268','SA_REP',9500.00,0.25,145,80,'2014-03-05 00:00:00'),(152,'Peter','Hall','PHALL','011.44.1344.478968','SA_REP',9000.00,0.25,145,80,'2014-03-05 00:00:00'),(153,'Christopher','Olsen','COLSEN','011.44.1344.498718','SA_REP',8000.00,0.20,145,80,'2014-03-05 00:00:00'),(154,'Nanette','Cambrault','NCAMBRAU','011.44.1344.987668','SA_REP',7500.00,0.20,145,80,'2014-03-05 00:00:00'),(155,'Oliver','Tuvault','OTUVAULT','011.44.1344.486508','SA_REP',7000.00,0.15,145,80,'2014-03-05 00:00:00'),(156,'Janette','K_ing','JKING','011.44.1345.429268','SA_REP',10000.00,0.35,146,80,'2014-03-05 00:00:00'),(157,'Patrick','Sully','PSULLY','011.44.1345.929268','SA_REP',9500.00,0.35,146,80,'2014-03-05 00:00:00'),(158,'Allan','McEwen','AMCEWEN','011.44.1345.829268','SA_REP',9000.00,0.35,146,80,'2014-03-05 00:00:00'),(159,'Lindsey','Smith','LSMITH','011.44.1345.729268','SA_REP',8000.00,0.30,146,80,'2014-03-05 00:00:00'),(160,'Louise','Doran','LDORAN','011.44.1345.629268','SA_REP',7500.00,0.30,146,80,'2014-03-05 00:00:00'),(161,'Sarath','Sewall','SSEWALL','011.44.1345.529268','SA_REP',7000.00,0.25,146,80,'2014-03-05 00:00:00'),(162,'Clara','Vishney','CVISHNEY','011.44.1346.129268','SA_REP',10500.00,0.25,147,80,'2014-03-05 00:00:00'),(163,'Danielle','Greene','DGREENE','011.44.1346.229268','SA_REP',9500.00,0.15,147,80,'2014-03-05 00:00:00'),(164,'Mattea','Marvins','MMARVINS','011.44.1346.329268','SA_REP',7200.00,0.10,147,80,'2014-03-05 00:00:00'),(165,'David','Lee','DLEE','011.44.1346.529268','SA_REP',6800.00,0.10,147,80,'2014-03-05 00:00:00'),(166,'Sundar','Ande','SANDE','011.44.1346.629268','SA_REP',6400.00,0.10,147,80,'2014-03-05 00:00:00'),(167,'Amit','Banda','ABANDA','011.44.1346.729268','SA_REP',6200.00,0.10,147,80,'2014-03-05 00:00:00'),(168,'Lisa','Ozer','LOZER','011.44.1343.929268','SA_REP',11500.00,0.25,148,80,'2014-03-05 00:00:00'),(169,'Harrison','Bloom','HBLOOM','011.44.1343.829268','SA_REP',10000.00,0.20,148,80,'2014-03-05 00:00:00'),(170,'Tayler','Fox','TFOX','011.44.1343.729268','SA_REP',9600.00,0.20,148,80,'2014-03-05 00:00:00'),(171,'William','Smith','WSMITH','011.44.1343.629268','SA_REP',7400.00,0.15,148,80,'2014-03-05 00:00:00'),(172,'Elizabeth','Bates','EBATES','011.44.1343.529268','SA_REP',7300.00,0.15,148,80,'2014-03-05 00:00:00'),(173,'Sundita','Kumar','SKUMAR','011.44.1343.329268','SA_REP',6100.00,0.10,148,80,'2014-03-05 00:00:00'),(174,'Ellen','Abel','EABEL','011.44.1644.429267','SA_REP',11000.00,0.30,149,80,'2014-03-05 00:00:00'),(175,'Alyssa','Hutton','AHUTTON','011.44.1644.429266','SA_REP',8800.00,0.25,149,80,'2014-03-05 00:00:00'),(176,'Jonathon','Taylor','JTAYLOR','011.44.1644.429265','SA_REP',8600.00,0.20,149,80,'2014-03-05 00:00:00'),(177,'Jack','Livingston','JLIVINGS','011.44.1644.429264','SA_REP',8400.00,0.20,149,80,'2014-03-05 00:00:00'),(178,'Kimberely','Grant','KGRANT','011.44.1644.429263','SA_REP',7000.00,0.15,149,NULL,'2014-03-05 00:00:00'),(179,'Charles','Johnson','CJOHNSON','011.44.1644.429262','SA_REP',6200.00,0.10,149,80,'2014-03-05 00:00:00'),(180,'Winston','Taylor','WTAYLOR','650.507.9876','SH_CLERK',3200.00,NULL,120,50,'2014-03-05 00:00:00'),(181,'Jean','Fleaur','JFLEAUR','650.507.9877','SH_CLERK',3100.00,NULL,120,50,'2014-03-05 00:00:00'),(182,'Martha','Sullivan','MSULLIVA','650.507.9878','SH_CLERK',2500.00,NULL,120,50,'2014-03-05 00:00:00'),(183,'Girard','Geoni','GGEONI','650.507.9879','SH_CLERK',2800.00,NULL,120,50,'2014-03-05 00:00:00'),(184,'Nandita','Sarchand','NSARCHAN','650.509.1876','SH_CLERK',4200.00,NULL,121,50,'2014-03-05 00:00:00'),(185,'Alexis','Bull','ABULL','650.509.2876','SH_CLERK',4100.00,NULL,121,50,'2014-03-05 00:00:00'),(186,'Julia','Dellinger','JDELLING','650.509.3876','SH_CLERK',3400.00,NULL,121,50,'2014-03-05 00:00:00'),(187,'Anthony','Cabrio','ACABRIO','650.509.4876','SH_CLERK',3000.00,NULL,121,50,'2014-03-05 00:00:00'),(188,'Kelly','Chung','KCHUNG','650.505.1876','SH_CLERK',3800.00,NULL,122,50,'2014-03-05 00:00:00'),(189,'Jennifer','Dilly','JDILLY','650.505.2876','SH_CLERK',3600.00,NULL,122,50,'2014-03-05 00:00:00'),(190,'Timothy','Gates','TGATES','650.505.3876','SH_CLERK',2900.00,NULL,122,50,'2014-03-05 00:00:00'),(191,'Randall','Perkins','RPERKINS','650.505.4876','SH_CLERK',2500.00,NULL,122,50,'2014-03-05 00:00:00'),(192,'Sarah','Bell','SBELL','650.501.1876','SH_CLERK',4000.00,NULL,123,50,'2014-03-05 00:00:00'),(193,'Britney','Everett','BEVERETT','650.501.2876','SH_CLERK',3900.00,NULL,123,50,'2014-03-05 00:00:00'),(194,'Samuel','McCain','SMCCAIN','650.501.3876','SH_CLERK',3200.00,NULL,123,50,'2014-03-05 00:00:00'),(195,'Vance','Jones','VJONES','650.501.4876','SH_CLERK',2800.00,NULL,123,50,'2014-03-05 00:00:00'),(196,'Alana','Walsh','AWALSH','650.507.9811','SH_CLERK',3100.00,NULL,124,50,'2014-03-05 00:00:00'),(197,'Kevin','Feeney','KFEENEY','650.507.9822','SH_CLERK',3000.00,NULL,124,50,'2014-03-05 00:00:00'),(198,'Donald','OConnell','DOCONNEL','650.507.9833','SH_CLERK',2600.00,NULL,124,50,'2014-03-05 00:00:00'),(199,'Douglas','Grant','DGRANT','650.507.9844','SH_CLERK',2600.00,NULL,124,50,'2014-03-05 00:00:00'),(200,'Jennifer','Whalen','JWHALEN','515.123.4444','AD_ASST',4400.00,NULL,101,10,'2016-03-03 00:00:00'),(201,'Michael','Hartstein','MHARTSTE','515.123.5555','MK_MAN',13000.00,NULL,100,20,'2016-03-03 00:00:00'),(202,'Pat','Fay','PFAY','603.123.6666','MK_REP',6000.00,NULL,201,20,'2016-03-03 00:00:00'),(203,'Susan','Mavris','SMAVRIS','515.123.7777','HR_REP',6500.00,NULL,101,40,'2016-03-03 00:00:00'),(204,'Hermann','Baer','HBAER','515.123.8888','PR_REP',10000.00,NULL,101,70,'2016-03-03 00:00:00'),(205,'Shelley','Higgins','SHIGGINS','515.123.8080','AC_MGR',12000.00,NULL,101,110,'2016-03-03 00:00:00'),(206,'William','Gietz','WGIETZ','515.123.8181','AC_ACCOUNT',8300.00,NULL,205,110,'2016-03-03 00:00:00');
/*Table structure for table `jobs` */
DROP TABLE IF EXISTS `jobs`;
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;
/*Data for the table `jobs` */
insert into `jobs`(`job_id`,`job_title`,`min_salary`,`max_salary`) values ('AC_ACCOUNT','Public Accountant',4200,9000),('AC_MGR','Accounting Manager',8200,16000),('AD_ASST','Administration Assistant',3000,6000),('AD_PRES','President',20000,40000),('AD_VP','Administration Vice President',15000,30000),('FI_ACCOUNT','Accountant',4200,9000),('FI_MGR','Finance Manager',8200,16000),('HR_REP','Human Resources Representative',4000,9000),('IT_PROG','Programmer',4000,10000),('MK_MAN','Marketing Manager',9000,15000),('MK_REP','Marketing Representative',4000,9000),('PR_REP','Public Relations Representative',4500,10500),('PU_CLERK','Purchasing Clerk',2500,5500),('PU_MAN','Purchasing Manager',8000,15000),('SA_MAN','Sales Manager',10000,20000),('SA_REP','Sales Representative',6000,12000),('SH_CLERK','Shipping Clerk',2500,5500),('ST_CLERK','Stock Clerk',2000,5000),('ST_MAN','Stock Manager',5500,8500);
/*Table structure for table `locations` */
DROP TABLE IF EXISTS `locations`;
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;
/*Data for the table `locations` */
insert into `locations`(`location_id`,`street_address`,`postal_code`,`city`,`state_province`,`country_id`) values (1000,'1297 Via Cola di Rie','00989','Roma',NULL,'IT'),(1100,'93091 Calle della Testa','10934','Venice',NULL,'IT'),(1200,'2017 Shinjuku-ku','1689','Tokyo','Tokyo Prefecture','JP'),(1300,'9450 Kamiya-cho','6823','Hiroshima',NULL,'JP'),(1400,'2014 Jabberwocky Rd','26192','Southlake','Texas','US'),(1500,'2011 Interiors Blvd','99236','South San Francisco','California','US'),(1600,'2007 Zagora St','50090','South Brunswick','New Jersey','US'),(1700,'2004 Charade Rd','98199','Seattle','Washington','US'),(1800,'147 Spadina Ave','M5V 2L7','Toronto','Ontario','CA'),(1900,'6092 Boxwood St','YSW 9T2','Whitehorse','Yukon','CA'),(2000,'40-5-12 Laogianggen','190518','Beijing',NULL,'CN'),(2100,'1298 Vileparle (E)','490231','Bombay','Maharashtra','IN'),(2200,'12-98 Victoria Street','2901','Sydney','New South Wales','AU'),(2300,'198 Clementi North','540198','Singapore',NULL,'SG'),(2400,'8204 Arthur St',NULL,'London',NULL,'UK'),(2500,'Magdalen Centre, The Oxford Science Park','OX9 9ZB','Oxford','Oxford','UK'),(2600,'9702 Chester Road','09629850293','Stretford','Manchester','UK'),(2700,'Schwanthalerstr. 7031','80925','Munich','Bavaria','DE'),(2800,'Rua Frei Caneca 1360 ','01307-002','Sao Paulo','Sao Paulo','BR'),(2900,'20 Rue des Corps-Saints','1730','Geneva','Geneve','CH'),(3000,'Murtenstrasse 921','3095','Bern','BE','CH'),(3100,'Pieter Breughelstraat 837','3029SK','Utrecht','Utrecht','NL'),(3200,'Mariano Escobedo 9991','11932','Mexico City','Distrito Federal,','MX');
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
2.基础查询
#进阶1:基础查询
/*
语法：
SELECT 查询列表 FROM 表名；
特点：
1、查询列表可以是：表中的字段、常量值、函数、表达式
2、查询的结果是一个虚拟的表格
*/
USE myemployees
#1、查询表中的单个字段
SELECT last_name FROM employees;
#2、查询表中的多个字段
SELECT last_name,salary,email FROM employees;
#3、查询表中的所有字段
SELECT * FROM employees;
#4、查询常量值
SELECT 100;
SELECT 1+2;
SELECT 'john';
#5、查询表达式
SELECT 100%90; #取余数
SELECT john ; #报错
#6、查询函数
SELECT VERSION();
#7、起别名
/*
1、便于理解
2、可以区分字段的重名现象
*/
#方式1:使用as
SELECT 100%90 AS 结果;
SELECT first_name AS 名,last_name AS 姓 FROM employees;
#方式2:使用空格
SELECT first_name 名,last_name 姓 FROM employees;
#案例：查询salary，显示结果为out put（有符号了，要加引号）
SELECT salary AS 'out put' FROM employees;
#8、去重
#案例：查询员工表中涉及到的所有部门编号
SELECT DISTINCT department_id FROM departments;
SELECT DISTINCT department_id,job_id FROM departments; # 这样不可以，因为DISTINCT department_id,job_id的行数不一样
#9、+的作用
/*(mysql中的+只有一个功能：加法运算符)
SELECT 100+90;-- 两个操作数都为数值型，则做加法运算
SELECT ‘123’+34;--运行出错
-- 其中一个为字符型，试图将字符型数值转换成数值型
（若转换成功，继续做加法运算）(若转换失败，则将字符型数值转换为0)
SELECT ‘islove’+34;--运行出错
SELECT NULL+34;--只要一方为NULL，结果就为NULL
*/
#案例：查询员工名和姓连接成一个字段，并显示为姓名
#11 补充 CONCAT 函数
SELECT last_name+first_name AS 姓名 FROM employees;-- 出错
SELECT CONCAT('a','B','c');
SELECT CONCAT(last_name,' ',first_name) AS 姓名 FROM employees;
#12 补充 IFNULL 函数
#功能：判断某字段或表达式是否为null,如果为nul1返回指定的值,否则返回原本的值
SELECT IFNULL(commission_pct,0) FROM employees;
#13 补充 ISNULL 函数
#功能：判断某字段或表达式是否为null,如果为nul1返回1,否则返回0
SELECT ISNULL(commission_pct) ,commission_pct FROM employees;
#课后习题
1.显示表departments的结构，并查询其中的全部数据
DESC departments;
SELECT * from departments;
2.显示出表employees中的全部job_id(不能重复)
SELECT DISTINCT job_id from employees;
3.显示出表employees的全部列，各个列之间用逗号连接，列头显示成OUT_PUT
DESC employees;-- 可以查看有哪些列
-- 直接运行会出错（因为奖金率有些为null）：
SELECT CONCAT(employee_id,',',first_name,',',last_name,',',commission_pct) AS OUT_PUT from employees;
-------------------------------
SELECT IFNULL(commission_pct,0) AS 奖金率,commission_pct FROM employees;-- 当commission_pct为null时，转变为0
-- 修改：
SELECT CONCAT(employee_id,',',first_name,',',last_name,',',IFNULL(commission_pct,0) ) AS OUT_PUT from employees;
3.条件查询
/*
语法：
SELECT
查询列表
FROM
表名
WHERE
筛选条件(这个条件的结果为true 或者 false);
分类:
一、按条件表达式筛选
简单条件运算符: > < = != <> >= <= <=>
二、按逻辑表达式筛选
逻辑运算符: AND(&&) OR(||) NOT(!)
作用:用于连接条件表达式
三、模糊查询
LIKE ; BETWEEN AND ; IN ; IS NULL
安全等于 <=>;is null pk <=>
*/
#一、按条件表达式筛选
#案例1:查询工资>12000的员工信息
SELECT
CONCAT(first_name,' ',last_name),salary
FROM
employees
WHERE
salary>12000;
#案例2:查询部门编号不等于90号的员工名和部门编号
SELECT
CONCAT(first_name,' ',last_name),department_id
FROM
employees
WHERE
department_id<>90;
#二、按逻辑表达式筛选
#案例1:查询工资在10000到20000之间的员工名、工资以及奖金
SELECT
CONCAT(first_name,' ',last_name),salary,commission_pct
FROM
employees
WHERE
salary>=10000 AND salary<=20000;
#案例2:查询部门编号不是在90到110之间,或者工资高于15000的员工信息
SELECT
*
FROM
employees
WHERE
department_id>110 OR department_id<90 OR salary>15000;
# (department_id<=110 OR department_id>=90)OR salary>15000;
#三、模糊查询（LIKE ; BETWEEN AND ; IN ; IS NULL）
#1.LIKE （一般和通配符搭配使用）
#案例1:查询员工名中包含字符a的员工信息(%:通配符，任意多个字符，包括0个; _ 表示一个字符)
SELECT
*
FROM
employees
WHERE
last_name LIKE '%a%';
#案例2:查询员工名中第三个字符为n,第五个字符为l的员工名和工资
SELECT
last_name,salary
FROM
employees
WHERE
last_name LIKE '__n_l%';
#案例3:查询员工名中第2个字符为_的员工名和工资(利用转义符号\或者escape)
SELECT
last_name,salary
FROM
employees
WHERE
last_name LIKE '_\_%';
#或者 last_name LIKE '_$_%' ESCAPE '$';
#2.between and （1.可以提高语句的简洁度；2.包含临界值；3.两个临界值不要调换顺序）
#案例1:查询员工编号在100到120之间的员工信息
SELECT
*
FROM
employees
WHERE
employee_id BETWEEN 100 AND 108;
#3.in(含义:判断某字段的值是否属于in列表中的某一项;特点:提高语句简洁度;in列表的值类型必须一致或兼容)
#案例:查询员工的工种編号是IT_PROG、AD_VP、AD_PRES中的一个员工名和工种编号
SELECT
last_name,job_id
FROM
employees
WHERE
job_id IN ('IT_PROG','AD_VP','AD_PRES');
#job_id = 'IT_PROG' OR job_id = 'AD_VP' OR job_id = 'AD_PRES';
#4、IS NULL
#案例1:查询没有奖金的员工名和奖金率
SELECT
last_name, commission_pct
FROM
employees
WHERE
commission_pct IS NULL;
#案例2:查询有奖金的员工名和奖金率
SELECT
last_name, commission_pct
FROM
employees
WHERE
commission_pct IS NOT NULL;
#安全等于 <=>(判断是否等于)
#案例1:查询没有奖金的员工名和奖金率
SELECT
last_name, commission_pct
FROM
employees
WHERE
commission_pct <=> NULL;
#案例2:查询工资为12000的员工信息
SELECT
last_name, commission_pct
FROM
employees
WHERE
salary <=> 12000;
#is null pk <=>
IS NULL:仅可以判断NULL值，可读性较高，建议使用
<=>:既可以判断NULL值，又可以判断普通的数值，可读性较低
#2.查询员工号为176的员工的姓名和部门号和年薪
SELECT
CONCAT(first_name,' ',last_name) AS '姓名',
department_id,
salary*12*(1+IFNULL(commission_pct,0)) AS '年薪'
FROM
employees
WHERE
employee_id <=> 176;
测试
#1.查询工资大于12000的员工姓名和工资
SELECT
CONCAT(first_name,' ',last_name) ,salary
FROM
employees
WHERE
salary>12000;
#2.查询员工号为176的员工的姓名和部门号和年薪
SELECT
CONCAT(first_name,' ',last_name) AS 姓名,department_id,salary*(1+IFNULL(commission_pct,0))AS 年薪
FROM
employees
WHERE
employee_id<=>176;
#3.选择工资不在5000到12000的员工的姓名和工资。
SELECT
CONCAT(first_name,' ',last_name),salary
FROM
employees
WHERE
salary>12000 OR salary<5000;
#NOT salary BETWEEN 5000 AND 12000;
#4.选择在20或50号部门工作的员工姓名和部门号。
SELECT
CONCAT(first_name,' ',last_name) AS 姓名,department_id
FROM
employees
WHERE
department_id BETWEEN 20 AND 50;
#5.选择公司中没有管理者的员工姓名及job_id.
SELECT
CONCAT(first_name,' ',last_name) AS 姓名,job_id
FROM
employees
WHERE
manager_id IS NULL;
#6.选择公司中有奖金的员工姓名,工资和奖金级别.
SELECT
CONCAT(first_name,' ',last_name) AS 姓名,salary,commission_pct
FROM
employees
WHERE
commission_pct IS NULL;
#7.选择员工姓名的第三个字母是a的员工姓名.
SELECT
CONCAT(first_name,' ',last_name) AS 员工姓名
FROM
employees
WHERE
first_name LIKE '__a%';
课后习题
#一、查询没有奖金,且工资小于18000的salary，last_name
SELECT
salary,last_name
FROM
employees
WHERE
commission_pct IS NULL AND salary<18000;
#二、查询employees表中，job_id不为‘IT’或者工资为12000的员工信息
SELECT
*
FROM
employees
WHERE
NOT job_id <=> 'IT_PROG' OR salary=12000;
job_id <> 'IT' OR salary=12000;
job_id != 'IT' OR salary=12000;
NOT job_id LIKE 'IT' OR salary=12000;
NOT job_id IN ('IT') OR salary=12000;
#三、查看部门departments表的结构
DESC departments;
#四、查询部门departments表中涉及到了哪些位置编号
SELECT DISTINCT location_id FROM departments;
#五、经典面试题：试问：
SELECT * FROM employees; 和
SELECT * FROM employees WHERE commission_pct LIKE '%%' AND last_name LIKE '%%';的结果是否一样？并说明原因。
答：不一样，commission_pct LIKE '%%' 不包含commission_pct为null的值
SELECT * FROM employees; 和
SELECT * FROM employees WHERE commission_pct LIKE '%%' OR last_name LIKE '%%' OR ... ;(包含所有字段)的结果一样
4.排序查询
/*
语法：
SELECT 查询列表 （3）
FROM 表 （1)(执行顺序）
WHERE 筛选条件 （2）
ORDER BY 排序列表 [ASC|DESC]（4）;
特点：
1.ASC代表的是升序， DESC代表的是降序；默认是ASC
2.order by子句中可以支持单个字段、多个字段、表达式、函数、别名
3.order by子句一般是放在查询语句的最后面, 1imit子句除外
*/
#案例1:查询员工信息,要求工资从高到低排序
SELECT * FROM employees ORDER BY salary DESC;
#案例2: 登询部门编号>=90的员工信息,按入职时间的先后进行排序【添加筛选条件】
SELECT * FROM employees WHERE department_id>=90 ORDER BY hiredate;
#案例3:按年薪的高低显示员工的信息和年薪【按表达式排序】
SELECT *,salary*12*(1+IFNULL(commission_pct,0)) AS 年薪
FROM employees
ORDER BY salary*12*(1+IFNULL(commission_pct,0)) DESC;
#案例4:按年薪的高低显示员工的信息和年薪【按别名排序】
SELECT *,salary*12*(1+IFNULL(commission_pct,0)) AS 年薪
FROM employees
ORDER BY 年薪 DESC;
#案例5:按姓名的长度显示员工的姓名和工资【按函数排序】
# SELECT LENGTH('123145');
SELECT first_name,LENGTH(first_name) AS 姓名长度,salary
FROM employees
ORDER BY LENGTH(first_name) DESC;
#案例6:查询员工信息,要求先按工资排序,再按员工编号排序【按多个字段排序】
SELECT *
FROM employees
ORDER BY salary ASC,employee_id ASC;
#测试
#1.查询员工的姓名和部门号和年薪,按年薪降序按姓名升序。
SELECT last_name,employee_id,salary*12*(IFNULL(commission_pct,0)) AS 年薪
FROM employees
ORDER BY 年薪 DESC,last_name ASC;
#2.选择工资不在8000到17000的员工的姓名和工资,按工资降序。
SELECT last_name,salary
FROM employees
WHERE salary NOT BETWEEN 8000 AND 17000
ORDER BY salary DESC;
#3.查询邮箱中包含e的员工信息,并先按邮箱的字节数降序,再按部门号升序。
SELECT *
FROM employees
WHERE email LIKE '%e%'
ORDER BY LENGTH(email) DESC,department_id ASC;
