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myemployees.sql 

/*
Navicat MySQL Data Transfer

Source Server         : 135数据库
Source Server Version : 50650
Source Host           : 192.168.209.135:3306
Source Database       : myemployees

Target Server Type    : MYSQL
Target Server Version : 50650
File Encoding         : 65001

Date: 2020-12-28 14:36:27
*/
create database myemployees; 

SET FOREIGN_KEY_CHECKS=0;

-- ----------------------------
-- Table structure for 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`)
) ENGINE=InnoDB AUTO_INCREMENT=271 DEFAULT CHARSET=gb2312;

-- ----------------------------
-- Records of departments
-- ----------------------------
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');

-- ----------------------------
-- Table structure for 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`)
) ENGINE=InnoDB AUTO_INCREMENT=207 DEFAULT CHARSET=gb2312;

-- ----------------------------
-- Records of employees
-- ----------------------------
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 ('141', 'Trenna', 'Rajs', 'TRAJS', '650.121.8009', 'ST_CLERK', '3500.00', null, '124', '50', '2002-12-23 00:00:00');
INSERT INTO `employees` VALUES ('142', 'Curtis', 'Davies', 'CDAVIES', '650.121.2994', 'ST_CLERK', '3100.00', null, '124', '50', '2002-12-23 00:00:00');
INSERT INTO `employees` VALUES ('143', 'Randall', 'Matos', 'RMATOS', '650.121.2874', 'ST_CLERK', '2600.00', null, '124', '50', '2002-12-23 00:00:00');
INSERT INTO `employees` VALUES ('144', 'Peter', 'Vargas', 'PVARGAS', '650.121.2004', 'ST_CLERK', '2500.00', null, '124', '50', '2002-12-23 00:00:00');
INSERT INTO `employees` VALUES ('145', 'John', 'Russell', 'JRUSSEL', '011.44.1344.429268', 'SA_MAN', '14000.00', '0.40', '100', '80', '2002-12-23 00:00:00');
INSERT INTO `employees` VALUES ('146', 'Karen', 'Partners', 'KPARTNER', '011.44.1344.467268', 'SA_MAN', '13500.00', '0.30', '100', '80', '2002-12-23 00:00:00');
INSERT INTO `employees` VALUES ('147', 'Alberto', 'Errazuriz', 'AERRAZUR', '011.44.1344.429278', 'SA_MAN', '12000.00', '0.30', '100', '80', '2002-12-23 00:00:00');
INSERT INTO `employees` VALUES ('148', 'Gerald', 'Cambrault', 'GCAMBRAU', '011.44.1344.619268', 'SA_MAN', '11000.00', '0.30', '100', '80', '2002-12-23 00:00:00');
INSERT INTO `employees` VALUES ('149', 'Eleni', 'Zlotkey', 'EZLOTKEY', '011.44.1344.429018', 'SA_MAN', '10500.00', '0.20', '100', '80', '2002-12-23 00:00:00');
INSERT INTO `employees` VALUES ('150', 'Peter', 'Tucker', 'PTUCKER', '011.44.1344.129268', 'SA_REP', '10000.00', '0.30', '145', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('151', 'David', 'Bernstein', 'DBERNSTE', '011.44.1344.345268', 'SA_REP', '9500.00', '0.25', '145', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('152', 'Peter', 'Hall', 'PHALL', '011.44.1344.478968', 'SA_REP', '9000.00', '0.25', '145', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('153', 'Christopher', 'Olsen', 'COLSEN', '011.44.1344.498718', 'SA_REP', '8000.00', '0.20', '145', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('154', 'Nanette', 'Cambrault', 'NCAMBRAU', '011.44.1344.987668', 'SA_REP', '7500.00', '0.20', '145', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('155', 'Oliver', 'Tuvault', 'OTUVAULT', '011.44.1344.486508', 'SA_REP', '7000.00', '0.15', '145', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('156', 'Janette', 'K_ing', 'JKING', '011.44.1345.429268', 'SA_REP', '10000.00', '0.35', '146', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('157', 'Patrick', 'Sully', 'PSULLY', '011.44.1345.929268', 'SA_REP', '9500.00', '0.35', '146', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('158', 'Allan', 'McEwen', 'AMCEWEN', '011.44.1345.829268', 'SA_REP', '9000.00', '0.35', '146', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('159', 'Lindsey', 'Smith', 'LSMITH', '011.44.1345.729268', 'SA_REP', '8000.00', '0.30', '146', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('160', 'Louise', 'Doran', 'LDORAN', '011.44.1345.629268', 'SA_REP', '7500.00', '0.30', '146', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('161', 'Sarath', 'Sewall', 'SSEWALL', '011.44.1345.529268', 'SA_REP', '7000.00', '0.25', '146', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('162', 'Clara', 'Vishney', 'CVISHNEY', '011.44.1346.129268', 'SA_REP', '10500.00', '0.25', '147', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('163', 'Danielle', 'Greene', 'DGREENE', '011.44.1346.229268', 'SA_REP', '9500.00', '0.15', '147', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('164', 'Mattea', 'Marvins', 'MMARVINS', '011.44.1346.329268', 'SA_REP', '7200.00', '0.10', '147', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('165', 'David', 'Lee', 'DLEE', '011.44.1346.529268', 'SA_REP', '6800.00', '0.10', '147', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('166', 'Sundar', 'Ande', 'SANDE', '011.44.1346.629268', 'SA_REP', '6400.00', '0.10', '147', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('167', 'Amit', 'Banda', 'ABANDA', '011.44.1346.729268', 'SA_REP', '6200.00', '0.10', '147', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('168', 'Lisa', 'Ozer', 'LOZER', '011.44.1343.929268', 'SA_REP', '11500.00', '0.25', '148', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('169', 'Harrison', 'Bloom', 'HBLOOM', '011.44.1343.829268', 'SA_REP', '10000.00', '0.20', '148', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('170', 'Tayler', 'Fox', 'TFOX', '011.44.1343.729268', 'SA_REP', '9600.00', '0.20', '148', '80', '2014-03-05 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 ('174', 'Ellen', 'Abel', 'EABEL', '011.44.1644.429267', 'SA_REP', '11000.00', '0.30', '149', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('175', 'Alyssa', 'Hutton', 'AHUTTON', '011.44.1644.429266', 'SA_REP', '8800.00', '0.25', '149', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('176', 'Jonathon', 'Taylor', 'JTAYLOR', '011.44.1644.429265', 'SA_REP', '8600.00', '0.20', '149', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('177', 'Jack', 'Livingston', 'JLIVINGS', '011.44.1644.429264', 'SA_REP', '8400.00', '0.20', '149', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('178', 'Kimberely', 'Grant', 'KGRANT', '011.44.1644.429263', 'SA_REP', '7000.00', '0.15', '149', null, '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('179', 'Charles', 'Johnson', 'CJOHNSON', '011.44.1644.429262', 'SA_REP', '6200.00', '0.10', '149', '80', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('180', 'Winston', 'Taylor', 'WTAYLOR', '650.507.9876', 'SH_CLERK', '3200.00', null, '120', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('181', 'Jean', 'Fleaur', 'JFLEAUR', '650.507.9877', 'SH_CLERK', '3100.00', null, '120', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('182', 'Martha', 'Sullivan', 'MSULLIVA', '650.507.9878', 'SH_CLERK', '2500.00', null, '120', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('183', 'Girard', 'Geoni', 'GGEONI', '650.507.9879', 'SH_CLERK', '2800.00', null, '120', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('184', 'Nandita', 'Sarchand', 'NSARCHAN', '650.509.1876', 'SH_CLERK', '4200.00', null, '121', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('185', 'Alexis', 'Bull', 'ABULL', '650.509.2876', 'SH_CLERK', '4100.00', null, '121', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('186', 'Julia', 'Dellinger', 'JDELLING', '650.509.3876', 'SH_CLERK', '3400.00', null, '121', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('187', 'Anthony', 'Cabrio', 'ACABRIO', '650.509.4876', 'SH_CLERK', '3000.00', null, '121', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('188', 'Kelly', 'Chung', 'KCHUNG', '650.505.1876', 'SH_CLERK', '3800.00', null, '122', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('189', 'Jennifer', 'Dilly', 'JDILLY', '650.505.2876', 'SH_CLERK', '3600.00', null, '122', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('190', 'Timothy', 'Gates', 'TGATES', '650.505.3876', 'SH_CLERK', '2900.00', null, '122', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('191', 'Randall', 'Perkins', 'RPERKINS', '650.505.4876', 'SH_CLERK', '2500.00', null, '122', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('192', 'Sarah', 'Bell', 'SBELL', '650.501.1876', 'SH_CLERK', '4000.00', null, '123', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('193', 'Britney', 'Everett', 'BEVERETT', '650.501.2876', 'SH_CLERK', '3900.00', null, '123', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('194', 'Samuel', 'McCain', 'SMCCAIN', '650.501.3876', 'SH_CLERK', '3200.00', null, '123', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('195', 'Vance', 'Jones', 'VJONES', '650.501.4876', 'SH_CLERK', '2800.00', null, '123', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('196', 'Alana', 'Walsh', 'AWALSH', '650.507.9811', 'SH_CLERK', '3100.00', null, '124', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('197', 'Kevin', 'Feeney', 'KFEENEY', '650.507.9822', 'SH_CLERK', '3000.00', null, '124', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('198', 'Donald', 'OConnell', 'DOCONNEL', '650.507.9833', 'SH_CLERK', '2600.00', null, '124', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('199', 'Douglas', 'Grant', 'DGRANT', '650.507.9844', 'SH_CLERK', '2600.00', null, '124', '50', '2014-03-05 00:00:00');
INSERT INTO `employees` VALUES ('200', 'Jennifer', 'Whalen', 'JWHALEN', '515.123.4444', 'AD_ASST', '4400.00', null, '101', '10', '2016-03-03 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');

-- ----------------------------
-- Table structure for job_grades
-- ----------------------------
DROP TABLE IF EXISTS `job_grades`;
CREATE TABLE `job_grades` (
  `grade_level` varchar(3) DEFAULT NULL,
  `lowest_sal` int(11) DEFAULT NULL,
  `highest_sal` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=gb2312;

-- ----------------------------
-- Records of job_grades
-- ----------------------------
INSERT INTO `job_grades` VALUES ('A', '1000', '2999');
INSERT INTO `job_grades` VALUES ('B', '3000', '5999');
INSERT INTO `job_grades` VALUES ('C', '6000', '9999');
INSERT INTO `job_grades` VALUES ('D', '10000', '14999');
INSERT INTO `job_grades` VALUES ('E', '15000', '24999');
INSERT INTO `job_grades` VALUES ('F', '25000', '40000');

-- ----------------------------
-- Table structure for 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;

-- ----------------------------
-- Records of jobs
-- ----------------------------
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');

-- ----------------------------
-- Table structure for 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;

-- ----------------------------
-- Records of locations
-- ----------------------------
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');

girls.sql

/*
Navicat MySQL Data Transfer

Source Server         : 135数据库
Source Server Version : 50650
Source Host           : 192.168.209.135:3306
Source Database       : girls

Target Server Type    : MYSQL
Target Server Version : 50650
File Encoding         : 65001

Date: 2020-12-28 14:36:15
*/

SET FOREIGN_KEY_CHECKS=0;

-- ----------------------------
-- Table structure for admin
-- ----------------------------
DROP TABLE IF EXISTS `admin`;
CREATE TABLE `admin` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `username` varchar(10) NOT NULL,
  `password` varchar(10) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of admin
-- ----------------------------
INSERT INTO `admin` VALUES ('1', 'john', '8888');
INSERT INTO `admin` VALUES ('2', 'lyt', '6666');

-- ----------------------------
-- Table structure for beauty
-- ----------------------------
DROP TABLE IF EXISTS `beauty`;
CREATE TABLE `beauty` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `name` varchar(50) NOT NULL,
  `sex` char(1) DEFAULT '女',
  `borndate` datetime DEFAULT '1987-01-01 00:00:00',
  `phone` varchar(11) NOT NULL,
  `photo` blob,
  `boyfriend_id` int(11) DEFAULT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=13 DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of beauty
-- ----------------------------
INSERT INTO `beauty` VALUES ('1', '柳岩', '女', '1988-02-03 00:00:00', '18209876577', null, '8');
INSERT INTO `beauty` VALUES ('2', '苍老师', '女', '1987-12-30 00:00:00', '18219876577', null, '9');
INSERT INTO `beauty` VALUES ('3', 'Angelababy', '女', '1989-02-03 00:00:00', '18209876567', null, '3');
INSERT INTO `beauty` VALUES ('4', '热巴', '女', '1993-02-03 00:00:00', '18209876579', null, '2');
INSERT INTO `beauty` VALUES ('5', '周冬雨', '女', '1992-02-03 00:00:00', '18209179577', null, '9');
INSERT INTO `beauty` VALUES ('6', '周芷若', '女', '1988-02-03 00:00:00', '18209876577', null, '1');
INSERT INTO `beauty` VALUES ('7', '岳灵珊', '女', '1987-12-30 00:00:00', '18219876577', null, '9');
INSERT INTO `beauty` VALUES ('8', '小昭', '女', '1989-02-03 00:00:00', '18209876567', null, '1');
INSERT INTO `beauty` VALUES ('9', '双儿', '女', '1993-02-03 00:00:00', '18209876579', null, '9');
INSERT INTO `beauty` VALUES ('10', '王语嫣', '女', '1992-02-03 00:00:00', '18209179577', null, '4');
INSERT INTO `beauty` VALUES ('11', '夏雪', '女', '1993-02-03 00:00:00', '18209876579', null, '9');
INSERT INTO `beauty` VALUES ('12', '赵敏', '女', '1992-02-03 00:00:00', '18209179577', null, '1');

-- ----------------------------
-- Table structure for boys
-- ----------------------------
DROP TABLE IF EXISTS `boys`;
CREATE TABLE `boys` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `boyName` varchar(20) DEFAULT NULL,
  `userCP` int(11) DEFAULT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of boys
-- ----------------------------
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');

-- ----------------------------
-- Table structure for job_grades
-- ----------------------------
DROP TABLE IF EXISTS `job_grades`;
CREATE TABLE `job_grades` (
  `grade_level` varchar(3) DEFAULT NULL,
  `lowest_sal` int(11) DEFAULT NULL,
  `highest_sal` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of job_grades
-- ----------------------------
INSERT INTO `job_grades` VALUES ('A', '1000', '2999');
INSERT INTO `job_grades` VALUES ('B', '3000', '5999');
INSERT INTO `job_grades` VALUES ('C', '6000', '9999');
INSERT INTO `job_grades` VALUES ('D', '10000', '14999');
INSERT INTO `job_grades` VALUES ('E', '15000', '24999');
INSERT INTO `job_grades` VALUES ('F', '25000', '40000');

连接查询

• 含义:又称多表查询,当查询的数据来自多个表时,就会用到连接查询
• 笛卡尔乘积现象：表1 有m行，表2有n行，结果=m*n行
• 发生原因：没有有效的连接条件
• 如何避免：添加有效的连接条件
• 分类

按年代分类：
    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
    
按功能分类：
    内连接：
    等值连接
    非等值连接
    自连接
外连接：
    左外连接
    右外连接
    全外连接
        
交叉连接

sql92标准案例

#1、等值连接

/*
1.多表等值连接的结果为多表的交集部分
2.n表连接，至少需要n-1个连接条件
3.多表的顺序没有要求
4.一般需要为表起别名
5.可以搭配前面介绍的所有子句使用，比如排序、分组、筛选
*/

#案例1：查询女神名和对应的男神名
SELECT NAME,boyName FROM boys,beauty
WHERE beauty.boyfriend_id= boys.id;

#案例2：查询员工名和对应的部门名

SELECT last_name,department_name 
FROM employees,departments
WHERE employees.`department_id`=departments.`department_id`;

#2、为表起别名
/*
1.提高语句的简洁度
2.区分多个重名的字段

注意：如果为表起了别名，则查询的字段就不能使用原来的表名去限定
*/
#查询员工名、工种号、工种名
SELECT e.last_name,e.job_id,j.job_title
FROM employees  e,jobs j
WHERE e.`job_id`=j.`job_id`;

#3、两个表的顺序是否可以调换
#查询员工名、工种号、工种名

SELECT e.last_name,e.job_id,j.job_title
FROM jobs j,employees e
WHERE e.`job_id`=j.`job_id`;

#4、可以加筛选
#案例：查询有奖金的员工名、部门名

SELECT last_name,department_name,commission_pct
FROM employees e,departments d
WHERE e.`department_id`=d.`department_id`
AND e.`commission_pct` IS NOT NULL;

#案例2：查询城市名中第二个字符为o的部门名和城市名

SELECT department_name,city
FROM departments d,locations l
WHERE d.`location_id` = l.`location_id`
AND city LIKE '_o%';

#5、可以加分组
#案例1：查询每个城市的部门个数

SELECT COUNT(*) 个数,city
FROM departments d,locations l
WHERE d.`location_id`=l.`location_id`
GROUP BY city;

#案例2：查询有奖金的每个部门的部门名和部门的领导编号和该部门的最低工资
SELECT department_name,d.`manager_id`,MIN(salary)
FROM departments d,employees e
WHERE d.`department_id`=e.`department_id`
AND commission_pct IS NOT NULL
GROUP BY department_name,d.`manager_id`;

#6、可以加排序
#案例：查询每个工种的工种名和员工的个数，并且按员工个数降序

SELECT job_title,COUNT(*)
FROM employees e,jobs j
WHERE e.`job_id`=j.`job_id`
GROUP BY job_title
ORDER BY COUNT(*) DESC;

#7、可以实现三表连接？
#案例：查询员工名、部门名和所在的城市

SELECT last_name,department_name,city
FROM employees e,departments d,locations l
WHERE e.`department_id`=d.`department_id`
AND d.`location_id`=l.`location_id`
AND city LIKE 's%'
ORDER BY department_name DESC;

#2、非等值连接
#案例1：查询员工的工资和工资级别

SELECT salary,grade_level
FROM employees e,job_grades g
WHERE salary BETWEEN g.`lowest_sal` AND g.`highest_sal`
AND g.`grade_level`='A';

/*
select salary,employee_id from employees;
select * from job_grades;
CREATE TABLE job_grades
(grade_level VARCHAR(3),
 lowest_sal  int,
 highest_sal int);

INSERT INTO job_grades
VALUES ('A', 1000, 2999);

INSERT INTO job_grades
VALUES ('B', 3000, 5999);

INSERT INTO job_grades
VALUES('C', 6000, 9999);

INSERT INTO job_grades
VALUES('D', 10000, 14999);

INSERT INTO job_grades
VALUES('E', 15000, 24999);

INSERT INTO job_grades
VALUES('F', 25000, 40000);

*/

#3、自连接
#案例：查询 员工名和上级的名称

SELECT e.employee_id,e.last_name,m.employee_id,m.last_name
FROM employees e,employees m
WHERE e.`manager_id`=m.`employee_id`;

sql99标准案例

• 语法

select 查询列表
from 表1 别名 【连接类型】
join 表2 别名 
on 连接条件
【where 筛选条件】
【group by 分组】
【having 筛选条件】
【order by 排序列表】

• 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

• 案例

#一、内连接
/*
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
②inner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
④inner 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

*/

#1、等值连接
#案例1.查询员工名、部门名

SELECT last_name,department_name FROM departments d
INNER 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

#查询员工的工资级别

SELECT salary,grade_level
FROM employees e
JOIN job_grades g
ON e.`salary` BETWEEN g.`lowest_sal` AND g.`highest_sal`;
 
#查询工资级别的个数>20的个数，并且按工资级别降序
SELECT COUNT(*),grade_level
FROM employees e
JOIN job_grades g
ON e.`salary` BETWEEN g.`lowest_sal` AND g.`highest_sal`
GROUP BY grade_level
HAVING COUNT(*)>20
ORDER BY grade_level DESC;

#三、自连接
 
#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`;
 
#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%';

#二、外连接
 
/*
应用场景：用于查询一个表中有，另一个表没有的记录
 
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
*/
#引入：查询男朋友 不在男神表的的女神名

SELECT * FROM beauty;
SELECT * FROM boys;
 
#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

USE girls;
SELECT b.*,bo.* FROM beauty b
FULL OUTER JOIN boys bo
ON b.`boyfriend_id` = bo.id;

#交叉连接

SELECT b.*,bo.* FROM beauty b
CROSS JOIN boys bo;

sql92和sql99对比

• 功能：sql99支持的较多
• 可读性：sql99实现连接条件和筛选条件的分离，可读性较高