mysql数据库的操作（一）

如需用我的练习表，发消息qq:2383241998@qq.com

对应库myemployees

建库的sql文件
Navicat Premium Data Transfer

Source Server : mylink
Source Server Type : MySQL
Source Server Version : 80013
Source Host : localhost:3306
Source Schema : myemployees

Target Server Type : MySQL
Target Server Version : 80013
File Encoding : 65001

Date: 31/03/2019 16:49:43
*/

SET NAMES utf8mb4;
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) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
manager_id int(6) NULL DEFAULT NULL,
location_id int(4) NULL DEFAULT NULL,
PRIMARY KEY (department_id) USING BTREE,
INDEX loc_id_fk(location_id) USING BTREE,
CONSTRAINT loc_id_fk FOREIGN KEY (location_id) REFERENCES locations (location_id) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB AUTO_INCREMENT = 271 CHARACTER SET = gb2312 COLLATE = gb2312_chinese_ci ROW_FORMAT = Dynamic;

– 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) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
last_name varchar(25) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
email varchar(25) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
phone_number varchar(20) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
job_id varchar(10) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
salary double(10, 2) NULL DEFAULT NULL,
commission_pct double(4, 2) NULL DEFAULT NULL,
manager_id int(6) NULL DEFAULT NULL,
department_id int(4) NULL DEFAULT NULL,
hiredate datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (employee_id) USING BTREE,
INDEX dept_id_fk(department_id) USING BTREE,
INDEX job_id_fk(job_id) USING BTREE,
CONSTRAINT dept_id_fk FOREIGN KEY (department_id) REFERENCES departments (department_id) ON DELETE RESTRICT ON UPDATE RESTRICT,
CONSTRAINT job_id_fk FOREIGN KEY (job_id) REFERENCES jobs (job_id) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB AUTO_INCREMENT = 207 CHARACTER SET = gb2312 COLLATE = gb2312_chinese_ci ROW_FORMAT = Dynamic;

– 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 jobs

DROP TABLE IF EXISTS jobs;
CREATE TABLE jobs (
job_id varchar(10) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NOT NULL,
job_title varchar(35) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
min_salary int(6) NULL DEFAULT NULL,
max_salary int(6) NULL DEFAULT NULL,
PRIMARY KEY (job_id) USING BTREE
) ENGINE = InnoDB CHARACTER SET = gb2312 COLLATE = gb2312_chinese_ci ROW_FORMAT = Dynamic;

– 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) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
postal_code varchar(12) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
city varchar(30) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
state_province varchar(25) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
country_id varchar(2) CHARACTER SET gb2312 COLLATE gb2312_chinese_ci NULL DEFAULT NULL,
PRIMARY KEY (location_id) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 3201 CHARACTER SET = gb2312 COLLATE = gb2312_chinese_ci ROW_FORMAT = Dynamic;

– 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’);

SET FOREIGN_KEY_CHECKS = 1;
`

USE myemployees;
SHOW TABLES;#进阶2： 条件查询
/*语法：
select 
	查询列表             第三步
from  
	表名                 第一步
where
	筛选条件;            第二步
分类：一。按条件表达式筛选
条件运算符：> < = != <> >= <=

二、按逻辑表达式筛选
逻辑运算符
&& || ！
and or not						
	三、模糊查询
like
between and
in 
is null
	*/#一、按条件表达式筛选
#案例1、查询工资》12000的员工信息
SELECT
	* 
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
	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
	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，或者工资看高于15000的员工信息
SELECT * FROM employees WHERE NOT ( department_id >= 90 
AND department_id <= 110 ) OR salary > 15000;#三、模糊查询
/*
		like	一般和通配符搭配使用  
					% 任意多个字符，包含0个字符
					-	任意单个字符
		
		between add 
		in 
		is null | is not null 
*/#1.like
#案例1 查询员工名中包含字符a的员工信息
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的员工名考和工资
SELECT
	last_name,
	salary 
FROM
	employees 
WHERE
	last_name LIKE '__n_l%';#案例3：查询员工名中第二个字符为_的员工
SELECT
	last_name 
FROM
	employees 
WHERE
	last_name LIKE '_\_%';
SELECT
	last_name 
FROM
	employees 
WHERE
last_name LIKE '_$_%' ESCAPE '$';


#2.between and
/**
1.使用between and 可以提高查询语句的简洁度
2.包含临界值
3.两个临界值不要调换
/


# 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 >= 100 and employee_id<=120;

select * from employees where employee_id between 100 and 120;

*/
#3.in
/*
	含义：判断某字段的值是否属于in列表中的某一项
				使用in提高语句的简洁度
				不支持通配符
	

#案例：查询员工的工种编号是IT_PROG. AD_VD.AD_PRES中的员工名和工种编号

select last_name,job_id from employees where job_id = 'IT_PROT' or job_id ='AD_VP' or job_id = 'AD_PRES';

select last_name,job_id from employees where job_id in('IT_PROT','AD_VP','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;

select last_name,commission_pct from employees where commission_pct is not null;


#安全等于 <=>

is null :仅仅可以判断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的员工姓名和部门编号和年薪

select last_name,department_id,salary*12*(1+ifnull(commission_pct,0)) as 年薪 from employees where employee_id=176;


#1. 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;

#2.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 job_id<>'IT' or salary=12000;

#3.查看部门departments表的结构，查询效果如下
desc departments；

#4.查询部门departments表中涉及到了哪些位置编号
select distinct location_id from departments;

#5.
版权声明：本文为weixin_44515563原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接和本声明。