MySQL基本知識復(fù)習(xí)補(bǔ)充
SQL分類
DDL:數(shù)據(jù)定義語言。create、alter、drop、rename、truncate(清空表)
DML:數(shù)據(jù)操作語言。insert、delete、update、select
DCL:數(shù)據(jù)控制語言。commit、rollback、savepoint、grant、revoke
因?yàn)椴樵冋Z句使用頻繁,可以把細(xì)分為DQL(數(shù)據(jù)查詢語言),和commit、rollback細(xì)分為TCL(事務(wù)控制語言)
大小寫規(guī)范
MySQL在Windows下是大小寫不敏感的
MySQL在Linux環(huán)境下是大小寫敏感的:
數(shù)據(jù)庫名、表名、表別名、變量名嚴(yán)格區(qū)分大小寫
關(guān)鍵字、函數(shù)名、列名(字段名)、列別名忽略大小寫
推薦采用統(tǒng)一的書寫規(guī)范:
數(shù)據(jù)庫名、表名、字段名都小寫
SQL關(guān)鍵字、函數(shù)名、綁定變量等都大寫
SHOW CREATE TABLE allblog;
查看建表語句
命名規(guī)則
數(shù)據(jù)庫、表名不得超過30個字符,變量名限制為29個
必須只能包含 A-z,a-z, 0-9,共63個字符
數(shù)據(jù)庫名、表名、字段名等對象名中間不要包含空格
同一個MySQL軟件中,數(shù)據(jù)庫不能同名;同一個庫中,表不能重名;同一個表中,字段不能重名
必須保證你的字段沒有和保留字、數(shù)據(jù)庫系統(tǒng)或常用方法沖突。如果堅(jiān)持使用,請?jiān)赟L語句中使用 ` (著重號) 引起來
保持字段名和類型的一致性,在命名字段并為其指定數(shù)據(jù)類型的時候一定要保證一致性。假如數(shù)據(jù)類型在一個表里是整數(shù),那在另一個表里可就別變成字符型了
創(chuàng)建數(shù)據(jù)庫
常用SQL命令
注釋
單行注釋 # 這是一條注釋
-- 單行注釋
多行注釋/*這是一條注釋*/
導(dǎo)入
連接工具導(dǎo)入
命令行導(dǎo)入:source xxx.sql
查看數(shù)據(jù)庫表:show database
顯示表結(jié)構(gòu)
DESCRIBE allblog
或 DESC allblog
清空表
TRUNCATE table
危險?。?/p>
truncate table比delete速度快,且使用的系統(tǒng)和事物日志資源少,但無事物(因?yàn)閠runcate中執(zhí)行了commit)且不觸發(fā)trigger,有可能造成事故,故不建議再開發(fā)代碼中使用此語句。
常用數(shù)據(jù)類型
https://blog.csdn.net/m0_52982868/article/details/123032241
MySQL8新特性
DDL原子化,InnoDB表的DDL支持事物完整性
計(jì)算列,某一列的值是通過別的列的值計(jì)算來的;例如a列值為1,b列值為2,c列不需要手動插入,定義a+b的結(jié)果為c的值,那么c就是計(jì)算列,通過別打列計(jì)算得來的
常見數(shù)據(jù)庫對象
- 表
- 數(shù)據(jù)字典
- 約束
- 視圖
- 索引
- 存儲過程
- 存儲函數(shù)
- 觸發(fā)器
SELECT
查詢技巧
列別名
別名 AS或空格,特殊別名可以用雙引號包含
去重
DISTINCT
只能放在SELECT的第一個字段前
如果多個字段:會判斷為多個字段的整體去重
SELECT DISTINCT class, title
FROM ALLBLOG
空值參與運(yùn)算
IFNULL,設(shè)置為想要的數(shù)值
SELECT class, title, IFNULL(comment, 0) as num
FROM ALLBLOG
ORDER BY num DESC
著重號
` 將沖突的字段或者關(guān)鍵字使用著重號處理防止sql報錯
查詢常數(shù)
SELECT '蠟筆小新' AS 動畫, class, title
FROM ALLBLOG
運(yùn)算符
算數(shù)運(yùn)算符
+、-、*、/或DIV(整除)、%或MOD
比較運(yùn)算符
<=>(安全等于,可以對null判斷;字符串和數(shù)值比較會做隱式轉(zhuǎn)換,如果轉(zhuǎn)換不成功這個字符串會被轉(zhuǎn)為0;例如:SELECT 0 = 'a'
得到結(jié)果是1)、
=、<>、!=、<、<=、>、>=
非符合類型運(yùn)算符
IS NULL、IS NOT NULL、LEAST(多個值中最小值)、GREATEST(多個值中最大值)、BETWEEN AND、ISNULL、IN、NOT IN、LIKE、REGEXP(正則)、RLIKE(正則)
邏輯運(yùn)算符
OR、||、AND、&&、NOT、!、XOR(異或)
位運(yùn)算符
使用頻率低
排序與分頁
ORDER BY
列名/列別名
ASC
升序
DESC
降序
分頁參數(shù)規(guī)則:
# 每頁size條,取page頁
LIMIT (page - 1) * size, size
LIMIT可以在MYSQL、PGSQL、MariaDB、SQLite等數(shù)據(jù)庫中使用,不能在SQL Server、DB2、Oracle中使用
笛卡爾積
交叉連接。笛卡爾乘積是一個數(shù)學(xué)運(yùn)算。假設(shè)我有兩個集合X和Y,那么X和Y的笛卡爾積就是X和Y的所有可能組合,也就是第一個對象來自于X,第二個對象來自于Y的所有可能。組合的個數(shù)即為兩個集合中元素個數(shù)的乘積數(shù)。
沒有設(shè)置連接條件,就會返回笛卡爾積,一般得到的是錯誤結(jié)果。
SELECT employee_id, department_name
FROM employees,
departments;
SELECT employee_id, department_name
FROM employees
CROSS JOIN
departments;
從sql優(yōu)化的角度,建議多表查詢時,每個字段都指明其所在的表
多表查詢分類
等值連接/非等值連接
自連接/非自連接
內(nèi)連接/外連接
等值連接/非等值連接
非等值連接條件:
查詢salary工資等級:grade_level等級lowest_sal~highest_sal區(qū)間
SELECT e.last_name, e.salary, j.grade_level
FROM employees AS e,
job_grades AS j
WHERE e.salary BETWEEN j.lowest_sal AND j.highest_sal
自連接/非自連接
自連接:一個表操作
# 查詢員工姓名及其管理者的id和姓名
SELECT emp.employee_id, emp.last_name, manager.employee_id, manager.last_name
FROM employees AS emp,
employees AS manager
WHERE emp.manager_id = manager.employee_id
內(nèi)連接/外連接
**內(nèi)連接:**合并具有同一列的兩個以上表的行,結(jié)果集中不包含一個表與另一個表不匹配的行
SELECT employee_id, department_name
FROM employees AS e,
departments AS d
WHERE e.department_id = d.department_id
# 也可以用[inner] join的方式實(shí)現(xiàn)
**外連接:**合并具有同一列的兩個以上表的行,結(jié)果集中除了包含一個表與另一個表不匹配的行,還查詢到了左表或右表中不匹配的行
外連接分類:左外連接、右外連接、滿外連接
LEFT [OUTER] JOIN
RIGHT [OUTER] JOIN
SELECT last_name, department_name
FROM employees AS e
LEFT JOIN departments AS d ON e.department_id = d.department_id
滿外連接:mysql不支持FULL OUTER JOIN(oracle支持)
mysql可以用 LEFT JOIN UNION RIGHT JOIN 代替
7種sql JOINS
左表107條,右表27條,條件相等106條
左上 107條
SELECT last_name, department_name
FROM employees AS e
LEFT JOIN departments AS d ON e.department_id = d.department_id
右上122條
SELECT last_name, department_name
FROM employees AS e
RIGHT JOIN departments AS d ON e.department_id = d.department_id
左中 1條
SELECT last_name, department_name
FROM employees AS e
LEFT JOIN departments AS d ON e.department_id = d.department_id
WHERE d.department_id IS NULL
中心 106條
SELECT last_name, department_name
FROM employees AS e
JOIN departments AS d ON e.department_id = d.department_id
右中 16條
SELECT last_name, department_name
FROM employees AS e
RIGHT JOIN departments AS d ON e.department_id = d.department_id
WHERE e.department_id IS NULL
左下 123條(滿外連接);左上+右中 或 右上+左中
左下 = 左上+右中 123條
SELECT last_name, department_name
FROM employees AS e
LEFT JOIN departments AS d ON e.department_id = d.department_id
UNION ALL
SELECT last_name, department_name
FROM employees AS e
RIGHT JOIN departments AS d ON e.department_id = d.department_id
WHERE e.department_id IS NULL
左下 = 右上+左中 123條
SELECT last_name, department_name
FROM employees AS e
RIGHT JOIN departments AS d ON e.department_id = d.department_id
UNION ALL
SELECT last_name, department_name
FROM employees AS e
LEFT JOIN departments AS d ON e.department_id = d.department_id
WHERE d.department_id IS NULL
右下 = 左中 + 右中 17條
SELECT last_name, department_name
FROM employees AS e
LEFT JOIN departments AS d ON e.department_id = d.department_id
WHERE d.department_id IS NULL
UNION ALL
SELECT last_name, department_name
FROM employees AS e
RIGHT JOIN departments AS d ON e.department_id = d.department_id
WHERE e.department_id IS NULL
UNION/UNION ALL
UNION 操作符返回兩個查詢結(jié)果的結(jié)果集的并集,去重重復(fù)記錄
UNION ALL 操作符返回兩個查詢結(jié)果的并集,對于兩個結(jié)果集的重復(fù)部分,不去重
能用UNION ALL的地方盡量不用UNION,因?yàn)槿ブ夭僮鲿档托?/p>
單行函數(shù)
- 操作數(shù)據(jù)對象
- 接受參數(shù)返回一個結(jié)果
- 只對一行進(jìn)行變換
- 每行返回一個結(jié)果
- 可以嵌套
- 參數(shù)可以上一列或一個值
函數(shù)用法:https://blog.csdn.net/qq_38154295/article/details/126416913
聚合函數(shù)
作用與一組數(shù)據(jù),并對一組數(shù)據(jù)返回一個值;avg,sum,count,max,min,方差,標(biāo)準(zhǔn)差,中位數(shù)
count(*)
count(1) (count常數(shù))
count(具體字段) (不一定對,null會被忽略)
如果需要對表中的數(shù)據(jù)統(tǒng)計(jì),執(zhí)行效率跟存儲引擎有關(guān):
MyISAM存儲引擎,三者效率相同
InnoDB存儲引擎,COUNT(*) = COUNT(1) > COUNT(字段)
MIN(AVG())聚合函數(shù)在mysql中不能嵌套,oracle中可以
GROUP BY
# 員工表中各個部門的平均工資
SELECT d.department_id, d.department_name, AVG(salary) AS money
FROM employees e
LEFT JOIN departments d on e.department_id = d.department_id
GROUP BY department_id
ORDER BY money DESC;
# 各個職位的平均工資
SELECT job_id, AVG(salary)
FROM employees
GROUP BY job_id;
# 查詢各個部門的各個職位的平均工資;分組字段前后順序可以不同,得到的數(shù)據(jù)一樣
SELECT department_id, job_id, AVG(salary)
FROM employees
GROUP BY department_id, job_id;
GROUP BY中WITH ROLLUP
在分組計(jì)算后,將所有結(jié)果再進(jìn)行統(tǒng)計(jì)增加一條;不適合參與ORDER BY一起用
SELECT department_id, AVG(salary)
FROM employees
GROUP BY department_id WITH ROLLUP;
HAVING
用來過濾數(shù)據(jù);操作聚合函數(shù),其他條件放到where中提高效率
# 查詢各個部門中最高工資大于1萬的部門信息
SELECT department_id, MAX(salary) AS MONEY
FROM employees
GROUP BY department_id
HAVING MONEY > 10000
子查詢
單行子查詢
。。。略
多行子查詢
也稱為集合比較子查詢,內(nèi)查詢返回多行,使用多行比較操作符
IN 等于列表的任意一個
ANY 需要和單行比較操作符一起使用,和子查詢返回的某一個值比較
SOME 是ANY的別名,一般用ANY
# 返回其他job_id中比job_id為'IT_PROG'部門任意工資低低員工號
SELECT employee_id, last_name, job_id, salary
FROM employees
WHERE job_id <> 'IT_PROG'
AND salary < ANY (SELECT salary FROM employees WHERE job_id = 'IT_PROG');
#可以用MIN實(shí)現(xiàn)
ALL 需要和單行比較操作符一起使用,和子查詢返回所有的值比較
# 返回其他job_id中比job_id為'IT_PROG'部門所以工資低低員工號
SELECT employee_id, last_name, job_id, salary
FROM employees
WHERE job_id <> 'IT_PROG'
AND salary < ALL (SELECT salary FROM employees WHERE job_id = 'IT_PROG');
#可以用MAX實(shí)現(xiàn)
相關(guān)子查詢
如果子查詢的執(zhí)行依賴與外部查詢,通常情況下都是因?yàn)樽硬樵冎械谋碛玫搅送獠繑?shù)據(jù),并進(jìn)行了條件關(guān)聯(lián),因此每執(zhí)行一次外部查詢,子查詢都要重新計(jì)算一次,這樣的子查詢稱之為關(guān)聯(lián)子查詢
相關(guān)子查詢按一行接一行的順序執(zhí)行,主查詢的每一行都執(zhí)行一次子查詢。
# 查詢員工的工資大于本部門平均工資的員工
SELECT last_name, salary, department_id
FROM employees AS emp1
WHERE salary > (SELECT AVG(salary) FROM employees AS emp2 WHERE emp1.department_id = emp2.department_id)
# 另一種實(shí)現(xiàn)方式
SELECT e.last_name, e.salary, e.department_id
FROM employees AS e
JOIN (SELECT department_id, AVG(salary) AS avg_salary
FROM employees
GROUP BY department_id) AS e_avg
ON e.department_id = e_avg.department_id
WHERE e.salary > e_avg.avg_salary
# 查詢員工id,salary,按照department_name排序
SELECT employee_id, salary
FROM employees e
ORDER BY (SELECT department_name FROM departments d WHERE e.department_id = d.department_id) DESC
除了group by和limit后面,其他位置都可以聲明子查詢
視圖
視圖是一種虛擬表,本身不具有數(shù)據(jù),占用很少的內(nèi)存空間
視圖建立在已有表的基礎(chǔ)上,視圖賴以建立的這些表稱為基表
視圖的創(chuàng)建和刪除只影響視圖本身,不影響對應(yīng)的基表,但對視圖中的數(shù)據(jù)進(jìn)行增加、刪除和修改操作時,數(shù)據(jù)表中的數(shù)據(jù)會相應(yīng)地發(fā)生變化,反之亦然
向視圖提供數(shù)據(jù)內(nèi)容的語句為SELECT語句,可以將視圖理解成存儲起來的SELECT語句
視圖是向用戶提供基表數(shù)據(jù)的另一種表現(xiàn)形式,可以幫我們把經(jīng)常查詢的結(jié)果集放到虛擬表中,提升使用效率
使用視圖主要做查詢操作
創(chuàng)建視圖類型
創(chuàng)建視圖的類型:創(chuàng)建單表視圖、創(chuàng)建多表聯(lián)合視圖、基于視圖創(chuàng)建視圖
更新視圖
MySQL支持使用INSERT
、UPDATE
、DELETE
語句對視圖中的數(shù)據(jù)進(jìn)行插入、更新和刪除操作,當(dāng)視圖中的數(shù)據(jù)發(fā)生變化時,數(shù)據(jù)表中的數(shù)據(jù)也會發(fā)生變化,反之亦然
要使視圖可更新,視圖中的行和底層基本表中的行之間必須存在一對一的關(guān)系,另外當(dāng)視圖定義出現(xiàn)如下情況時,視圖不支持更新操作:
在定義視圖的時候指定了ALGORITHM = TEMPTABLE,視圖將不支持INSERT和DELETE操作
視圖中不包含基表中所有被定義為非空又未指定默認(rèn)值的列,視圖將不支持INSERT操作
在定義視圖的SELECT語句中使用了JOIN聯(lián)合查詢 ,視圖將不支持INSERT和DELETE操作
在定義視圖的SELECT語句后的字段列表中使用了數(shù)學(xué)表達(dá)式或子查詢 ,視圖將不支持INSERT,也不支持UPDATE使用了數(shù)學(xué)表達(dá)式、子查詢的字段值
在定義視圖的SELECT語句后的字段列表中使用DISTINCT、 聚合函數(shù) 、GROUP BY、HAVING、UNION等,視圖將不支持INSERT、UPDATE、DELETE
在定義視圖的SELECT語句中包含了子查詢,而子查詢中引用了FROM后面的表,視圖將不支持INSERT、UPDATE、DELETE
視圖定義基于一個 不可更新視圖
常量視圖
視圖優(yōu)缺點(diǎn)
- 操作簡單
- 減少數(shù)據(jù)冗余
- 數(shù)據(jù)安全
- 適應(yīng)靈活多變的需求
- 能夠分解復(fù)雜的查詢邏輯
缺點(diǎn):如果實(shí)際數(shù)據(jù)表的結(jié)構(gòu)變更了,需要及時對相關(guān)視圖進(jìn)行維護(hù),視圖過多、嵌套視圖的維護(hù)成本高文章來源:http://www.zghlxwxcb.cn/news/detail-480405.html
存儲過程和函數(shù)
https://blog.csdn.net/Becky_Jia/article/details/108308219文章來源地址http://www.zghlxwxcb.cn/news/detail-480405.html
數(shù)據(jù)庫表練習(xí)數(shù)據(jù)SQL
/*
SQLyog Ultimate v12.08 (64 bit)
MySQL - 5.7.28-log : Database - atguigudb
*********************************************************************
*/
/*!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*/`atguigudb` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `atguigudb`;
/*Table structure for table `countries` */
DROP TABLE IF EXISTS `countries`;
CREATE TABLE `countries` (
`country_id` char(2) NOT NULL,
`country_name` varchar(40) DEFAULT NULL,
`region_id` int(11) DEFAULT NULL,
PRIMARY KEY (`country_id`),
KEY `countr_reg_fk` (`region_id`),
CONSTRAINT `countr_reg_fk` FOREIGN KEY (`region_id`) REFERENCES `regions` (`region_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `countries` */
insert into `countries`(`country_id`,`country_name`,`region_id`) values ('AR','Argentina',2),('AU','Australia',3),('BE','Belgium',1),('BR','Brazil',2),('CA','Canada',2),('CH','Switzerland',1),('CN','China',3),('DE','Germany',1),('DK','Denmark',1),('EG','Egypt',4),('FR','France',1),('HK','HongKong',3),('IL','Israel',4),('IN','India',3),('IT','Italy',1),('JP','Japan',3),('KW','Kuwait',4),('MX','Mexico',2),('NG','Nigeria',4),('NL','Netherlands',1),('SG','Singapore',3),('UK','United Kingdom',1),('US','United States of America',2),('ZM','Zambia',4),('ZW','Zimbabwe',4);
/*Table structure for table `departments` */
DROP TABLE IF EXISTS `departments`;
CREATE TABLE `departments` (
`department_id` int(4) NOT NULL DEFAULT '0',
`department_name` varchar(30) NOT NULL,
`manager_id` int(6) DEFAULT NULL,
`location_id` int(4) DEFAULT NULL,
PRIMARY KEY (`department_id`),
UNIQUE KEY `dept_id_pk` (`department_id`),
KEY `dept_loc_fk` (`location_id`),
KEY `dept_mgr_fk` (`manager_id`),
CONSTRAINT `dept_loc_fk` FOREIGN KEY (`location_id`) REFERENCES `locations` (`location_id`),
CONSTRAINT `dept_mgr_fk` FOREIGN KEY (`manager_id`) REFERENCES `employees` (`employee_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `departments` */
insert into `departments`(`department_id`,`department_name`,`manager_id`,`location_id`) values (10,'Administration',200,1700),(20,'Marketing',201,1800),(30,'Purchasing',114,1700),(40,'Human Resources',203,2400),(50,'Shipping',121,1500),(60,'IT',103,1400),(70,'Public Relations',204,2700),(80,'Sales',145,2500),(90,'Executive',100,1700),(100,'Finance',108,1700),(110,'Accounting',205,1700),(120,'Treasury',NULL,1700),(130,'Corporate Tax',NULL,1700),(140,'Control And Credit',NULL,1700),(150,'Shareholder Services',NULL,1700),(160,'Benefits',NULL,1700),(170,'Manufacturing',NULL,1700),(180,'Construction',NULL,1700),(190,'Contracting',NULL,1700),(200,'Operations',NULL,1700),(210,'IT Support',NULL,1700),(220,'NOC',NULL,1700),(230,'IT Helpdesk',NULL,1700),(240,'Government Sales',NULL,1700),(250,'Retail Sales',NULL,1700),(260,'Recruiting',NULL,1700),(270,'Payroll',NULL,1700);
/*Table structure for table `employees` */
DROP TABLE IF EXISTS `employees`;
CREATE TABLE `employees` (
`employee_id` int(6) NOT NULL DEFAULT '0',
`first_name` varchar(20) DEFAULT NULL,
`last_name` varchar(25) NOT NULL,
`email` varchar(25) NOT NULL,
`phone_number` varchar(20) DEFAULT NULL,
`hire_date` date NOT NULL,
`job_id` varchar(10) NOT NULL,
`salary` double(8,2) DEFAULT NULL,
`commission_pct` double(2,2) DEFAULT NULL,
`manager_id` int(6) DEFAULT NULL,
`department_id` int(4) DEFAULT NULL,
PRIMARY KEY (`employee_id`),
UNIQUE KEY `emp_email_uk` (`email`),
UNIQUE KEY `emp_emp_id_pk` (`employee_id`),
KEY `emp_dept_fk` (`department_id`),
KEY `emp_job_fk` (`job_id`),
KEY `emp_manager_fk` (`manager_id`),
CONSTRAINT `emp_dept_fk` FOREIGN KEY (`department_id`) REFERENCES `departments` (`department_id`),
CONSTRAINT `emp_job_fk` FOREIGN KEY (`job_id`) REFERENCES `jobs` (`job_id`),
CONSTRAINT `emp_manager_fk` FOREIGN KEY (`manager_id`) REFERENCES `employees` (`employee_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `employees` */
insert into `employees`(`employee_id`,`first_name`,`last_name`,`email`,`phone_number`,`hire_date`,`job_id`,`salary`,`commission_pct`,`manager_id`,`department_id`) values (100,'Steven','King','SKING','515.123.4567','1987-06-17','AD_PRES',24000.00,NULL,NULL,90),(101,'Neena','Kochhar','NKOCHHAR','515.123.4568','1989-09-21','AD_VP',17000.00,NULL,100,90),(102,'Lex','De Haan','LDEHAAN','515.123.4569','1993-01-13','AD_VP',17000.00,NULL,100,90),(103,'Alexander','Hunold','AHUNOLD','590.423.4567','1990-01-03','IT_PROG',9000.00,NULL,102,60),(104,'Bruce','Ernst','BERNST','590.423.4568','1991-05-21','IT_PROG',6000.00,NULL,103,60),(105,'David','Austin','DAUSTIN','590.423.4569','1997-06-25','IT_PROG',4800.00,NULL,103,60),(106,'Valli','Pataballa','VPATABAL','590.423.4560','1998-02-05','IT_PROG',4800.00,NULL,103,60),(107,'Diana','Lorentz','DLORENTZ','590.423.5567','1999-02-07','IT_PROG',4200.00,NULL,103,60),(108,'Nancy','Greenberg','NGREENBE','515.124.4569','1994-08-17','FI_MGR',12000.00,NULL,101,100),(109,'Daniel','Faviet','DFAVIET','515.124.4169','1994-08-16','FI_ACCOUNT',9000.00,NULL,108,100),(110,'John','Chen','JCHEN','515.124.4269','1997-09-28','FI_ACCOUNT',8200.00,NULL,108,100),(111,'Ismael','Sciarra','ISCIARRA','515.124.4369','1997-09-30','FI_ACCOUNT',7700.00,NULL,108,100),(112,'Jose Manuel','Urman','JMURMAN','515.124.4469','1998-03-07','FI_ACCOUNT',7800.00,NULL,108,100),(113,'Luis','Popp','LPOPP','515.124.4567','1999-12-07','FI_ACCOUNT',6900.00,NULL,108,100),(114,'Den','Raphaely','DRAPHEAL','515.127.4561','1994-12-07','PU_MAN',11000.00,NULL,100,30),(115,'Alexander','Khoo','AKHOO','515.127.4562','1995-05-18','PU_CLERK',3100.00,NULL,114,30),(116,'Shelli','Baida','SBAIDA','515.127.4563','1997-12-24','PU_CLERK',2900.00,NULL,114,30),(117,'Sigal','Tobias','STOBIAS','515.127.4564','1997-07-24','PU_CLERK',2800.00,NULL,114,30),(118,'Guy','Himuro','GHIMURO','515.127.4565','1998-11-15','PU_CLERK',2600.00,NULL,114,30),(119,'Karen','Colmenares','KCOLMENA','515.127.4566','1999-08-10','PU_CLERK',2500.00,NULL,114,30),(120,'Matthew','Weiss','MWEISS','650.123.1234','1996-07-18','ST_MAN',8000.00,NULL,100,50),(121,'Adam','Fripp','AFRIPP','650.123.2234','1997-04-10','ST_MAN',8200.00,NULL,100,50),(122,'Payam','Kaufling','PKAUFLIN','650.123.3234','1995-05-01','ST_MAN',7900.00,NULL,100,50),(123,'Shanta','Vollman','SVOLLMAN','650.123.4234','1997-10-10','ST_MAN',6500.00,NULL,100,50),(124,'Kevin','Mourgos','KMOURGOS','650.123.5234','1999-11-16','ST_MAN',5800.00,NULL,100,50),(125,'Julia','Nayer','JNAYER','650.124.1214','1997-07-16','ST_CLERK',3200.00,NULL,120,50),(126,'Irene','Mikkilineni','IMIKKILI','650.124.1224','1998-09-28','ST_CLERK',2700.00,NULL,120,50),(127,'James','Landry','JLANDRY','650.124.1334','1999-01-14','ST_CLERK',2400.00,NULL,120,50),(128,'Steven','Markle','SMARKLE','650.124.1434','2000-03-08','ST_CLERK',2200.00,NULL,120,50),(129,'Laura','Bissot','LBISSOT','650.124.5234','1997-08-20','ST_CLERK',3300.00,NULL,121,50),(130,'Mozhe','Atkinson','MATKINSO','650.124.6234','1997-10-30','ST_CLERK',2800.00,NULL,121,50),(131,'James','Marlow','JAMRLOW','650.124.7234','1997-02-16','ST_CLERK',2500.00,NULL,121,50),(132,'TJ','Olson','TJOLSON','650.124.8234','1999-04-10','ST_CLERK',2100.00,NULL,121,50),(133,'Jason','Mallin','JMALLIN','650.127.1934','1996-06-14','ST_CLERK',3300.00,NULL,122,50),(134,'Michael','Rogers','MROGERS','650.127.1834','1998-08-26','ST_CLERK',2900.00,NULL,122,50),(135,'Ki','Gee','KGEE','650.127.1734','1999-12-12','ST_CLERK',2400.00,NULL,122,50),(136,'Hazel','Philtanker','HPHILTAN','650.127.1634','2000-02-06','ST_CLERK',2200.00,NULL,122,50),(137,'Renske','Ladwig','RLADWIG','650.121.1234','1995-07-14','ST_CLERK',3600.00,NULL,123,50),(138,'Stephen','Stiles','SSTILES','650.121.2034','1997-10-26','ST_CLERK',3200.00,NULL,123,50),(139,'John','Seo','JSEO','650.121.2019','1998-02-12','ST_CLERK',2700.00,NULL,123,50),(140,'Joshua','Patel','JPATEL','650.121.1834','1998-04-06','ST_CLERK',2500.00,NULL,123,50),(141,'Trenna','Rajs','TRAJS','650.121.8009','1995-10-17','ST_CLERK',3500.00,NULL,124,50),(142,'Curtis','Davies','CDAVIES','650.121.2994','1997-01-29','ST_CLERK',3100.00,NULL,124,50),(143,'Randall','Matos','RMATOS','650.121.2874','1998-03-15','ST_CLERK',2600.00,NULL,124,50),(144,'Peter','Vargas','PVARGAS','650.121.2004','1998-07-09','ST_CLERK',2500.00,NULL,124,50),(145,'John','Russell','JRUSSEL','011.44.1344.429268','1996-10-01','SA_MAN',14000.00,0.40,100,80),(146,'Karen','Partners','KPARTNER','011.44.1344.467268','1997-01-05','SA_MAN',13500.00,0.30,100,80),(147,'Alberto','Errazuriz','AERRAZUR','011.44.1344.429278','1997-03-10','SA_MAN',12000.00,0.30,100,80),(148,'Gerald','Cambrault','GCAMBRAU','011.44.1344.619268','1999-10-15','SA_MAN',11000.00,0.30,100,80),(149,'Eleni','Zlotkey','EZLOTKEY','011.44.1344.429018','2000-01-29','SA_MAN',10500.00,0.20,100,80),(150,'Peter','Tucker','PTUCKER','011.44.1344.129268','1997-01-30','SA_REP',10000.00,0.30,145,80),(151,'David','Bernstein','DBERNSTE','011.44.1344.345268','1997-03-24','SA_REP',9500.00,0.25,145,80),(152,'Peter','Hall','PHALL','011.44.1344.478968','1997-08-20','SA_REP',9000.00,0.25,145,80),(153,'Christopher','Olsen','COLSEN','011.44.1344.498718','1998-03-30','SA_REP',8000.00,0.20,145,80),(154,'Nanette','Cambrault','NCAMBRAU','011.44.1344.987668','1998-12-09','SA_REP',7500.00,0.20,145,80),(155,'Oliver','Tuvault','OTUVAULT','011.44.1344.486508','1999-11-23','SA_REP',7000.00,0.15,145,80),(156,'Janette','King','JKING','011.44.1345.429268','1996-01-30','SA_REP',10000.00,0.35,146,80),(157,'Patrick','Sully','PSULLY','011.44.1345.929268','1996-03-04','SA_REP',9500.00,0.35,146,80),(158,'Allan','McEwen','AMCEWEN','011.44.1345.829268','1996-08-01','SA_REP',9000.00,0.35,146,80),(159,'Lindsey','Smith','LSMITH','011.44.1345.729268','1997-03-10','SA_REP',8000.00,0.30,146,80),(160,'Louise','Doran','LDORAN','011.44.1345.629268','1997-12-15','SA_REP',7500.00,0.30,146,80),(161,'Sarath','Sewall','SSEWALL','011.44.1345.529268','1998-11-03','SA_REP',7000.00,0.25,146,80),(162,'Clara','Vishney','CVISHNEY','011.44.1346.129268','1997-11-11','SA_REP',10500.00,0.25,147,80),(163,'Danielle','Greene','DGREENE','011.44.1346.229268','1999-03-19','SA_REP',9500.00,0.15,147,80),(164,'Mattea','Marvins','MMARVINS','011.44.1346.329268','2000-01-24','SA_REP',7200.00,0.10,147,80),(165,'David','Lee','DLEE','011.44.1346.529268','2000-02-23','SA_REP',6800.00,0.10,147,80),(166,'Sundar','Ande','SANDE','011.44.1346.629268','2000-03-24','SA_REP',6400.00,0.10,147,80),(167,'Amit','Banda','ABANDA','011.44.1346.729268','2000-04-21','SA_REP',6200.00,0.10,147,80),(168,'Lisa','Ozer','LOZER','011.44.1343.929268','1997-03-11','SA_REP',11500.00,0.25,148,80),(169,'Harrison','Bloom','HBLOOM','011.44.1343.829268','1998-03-23','SA_REP',10000.00,0.20,148,80),(170,'Tayler','Fox','TFOX','011.44.1343.729268','1998-01-24','SA_REP',9600.00,0.20,148,80),(171,'William','Smith','WSMITH','011.44.1343.629268','1999-02-23','SA_REP',7400.00,0.15,148,80),(172,'Elizabeth','Bates','EBATES','011.44.1343.529268','1999-03-24','SA_REP',7300.00,0.15,148,80),(173,'Sundita','Kumar','SKUMAR','011.44.1343.329268','2000-04-21','SA_REP',6100.00,0.10,148,80),(174,'Ellen','Abel','EABEL','011.44.1644.429267','1996-05-11','SA_REP',11000.00,0.30,149,80),(175,'Alyssa','Hutton','AHUTTON','011.44.1644.429266','1997-03-19','SA_REP',8800.00,0.25,149,80),(176,'Jonathon','Taylor','JTAYLOR','011.44.1644.429265','1998-03-24','SA_REP',8600.00,0.20,149,80),(177,'Jack','Livingston','JLIVINGS','011.44.1644.429264','1998-04-23','SA_REP',8400.00,0.20,149,80),(178,'Kimberely','Grant','KGRANT','011.44.1644.429263','1999-05-24','SA_REP',7000.00,0.15,149,NULL),(179,'Charles','Johnson','CJOHNSON','011.44.1644.429262','2000-01-04','SA_REP',6200.00,0.10,149,80),(180,'Winston','Taylor','WTAYLOR','650.507.9876','1998-01-24','SH_CLERK',3200.00,NULL,120,50),(181,'Jean','Fleaur','JFLEAUR','650.507.9877','1998-02-23','SH_CLERK',3100.00,NULL,120,50),(182,'Martha','Sullivan','MSULLIVA','650.507.9878','1999-06-21','SH_CLERK',2500.00,NULL,120,50),(183,'Girard','Geoni','GGEONI','650.507.9879','2000-02-03','SH_CLERK',2800.00,NULL,120,50),(184,'Nandita','Sarchand','NSARCHAN','650.509.1876','1996-01-27','SH_CLERK',4200.00,NULL,121,50),(185,'Alexis','Bull','ABULL','650.509.2876','1997-02-20','SH_CLERK',4100.00,NULL,121,50),(186,'Julia','Dellinger','JDELLING','650.509.3876','1998-06-24','SH_CLERK',3400.00,NULL,121,50),(187,'Anthony','Cabrio','ACABRIO','650.509.4876','1999-02-07','SH_CLERK',3000.00,NULL,121,50),(188,'Kelly','Chung','KCHUNG','650.505.1876','1997-06-14','SH_CLERK',3800.00,NULL,122,50),(189,'Jennifer','Dilly','JDILLY','650.505.2876','1997-08-13','SH_CLERK',3600.00,NULL,122,50),(190,'Timothy','Gates','TGATES','650.505.3876','1998-07-11','SH_CLERK',2900.00,NULL,122,50),(191,'Randall','Perkins','RPERKINS','650.505.4876','1999-12-19','SH_CLERK',2500.00,NULL,122,50),(192,'Sarah','Bell','SBELL','650.501.1876','1996-02-04','SH_CLERK',4000.00,NULL,123,50),(193,'Britney','Everett','BEVERETT','650.501.2876','1997-03-03','SH_CLERK',3900.00,NULL,123,50),(194,'Samuel','McCain','SMCCAIN','650.501.3876','1998-07-01','SH_CLERK',3200.00,NULL,123,50),(195,'Vance','Jones','VJONES','650.501.4876','1999-03-17','SH_CLERK',2800.00,NULL,123,50),(196,'Alana','Walsh','AWALSH','650.507.9811','1998-04-24','SH_CLERK',3100.00,NULL,124,50),(197,'Kevin','Feeney','KFEENEY','650.507.9822','1998-05-23','SH_CLERK',3000.00,NULL,124,50),(198,'Donald','OConnell','DOCONNEL','650.507.9833','1999-06-21','SH_CLERK',2600.00,NULL,124,50),(199,'Douglas','Grant','DGRANT','650.507.9844','2000-01-13','SH_CLERK',2600.00,NULL,124,50),(200,'Jennifer','Whalen','JWHALEN','515.123.4444','1987-09-17','AD_ASST',4400.00,NULL,101,10),(201,'Michael','Hartstein','MHARTSTE','515.123.5555','1996-02-17','MK_MAN',13000.00,NULL,100,20),(202,'Pat','Fay','PFAY','603.123.6666','1997-08-17','MK_REP',6000.00,NULL,201,20),(203,'Susan','Mavris','SMAVRIS','515.123.7777','1994-06-07','HR_REP',6500.00,NULL,101,40),(204,'Hermann','Baer','HBAER','515.123.8888','1994-06-07','PR_REP',10000.00,NULL,101,70),(205,'Shelley','Higgins','SHIGGINS','515.123.8080','1994-06-07','AC_MGR',12000.00,NULL,101,110),(206,'William','Gietz','WGIETZ','515.123.8181','1994-06-07','AC_ACCOUNT',8300.00,NULL,205,110);
/*Table structure for table `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;
/*Data for the table `job_grades` */
insert into `job_grades`(`grade_level`,`lowest_sal`,`highest_sal`) values ('A',1000,2999),('B',3000,5999),('C',6000,9999),('D',10000,14999),('E',15000,24999),('F',25000,40000);
/*Table structure for table `job_history` */
DROP TABLE IF EXISTS `job_history`;
CREATE TABLE `job_history` (
`employee_id` int(6) NOT NULL,
`start_date` date NOT NULL,
`end_date` date NOT NULL,
`job_id` varchar(10) NOT NULL,
`department_id` int(4) DEFAULT NULL,
PRIMARY KEY (`employee_id`,`start_date`),
UNIQUE KEY `jhist_emp_id_st_date_pk` (`employee_id`,`start_date`),
KEY `jhist_job_fk` (`job_id`),
KEY `jhist_dept_fk` (`department_id`),
CONSTRAINT `jhist_dept_fk` FOREIGN KEY (`department_id`) REFERENCES `departments` (`department_id`),
CONSTRAINT `jhist_emp_fk` FOREIGN KEY (`employee_id`) REFERENCES `employees` (`employee_id`),
CONSTRAINT `jhist_job_fk` FOREIGN KEY (`job_id`) REFERENCES `jobs` (`job_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `job_history` */
insert into `job_history`(`employee_id`,`start_date`,`end_date`,`job_id`,`department_id`) values (101,'1989-09-21','1993-10-27','AC_ACCOUNT',110),(101,'1993-10-28','1997-03-15','AC_MGR',110),(102,'1993-01-13','1998-07-24','IT_PROG',60),(114,'1998-03-24','1999-12-31','ST_CLERK',50),(122,'1999-01-01','1999-12-31','ST_CLERK',50),(176,'1998-03-24','1998-12-31','SA_REP',80),(176,'1999-01-01','1999-12-31','SA_MAN',80),(200,'1987-09-17','1993-06-17','AD_ASST',90),(200,'1994-07-01','1998-12-31','AC_ACCOUNT',90),(201,'1996-02-17','1999-12-19','MK_REP',20);
/*Table structure for table `jobs` */
DROP TABLE IF EXISTS `jobs`;
CREATE TABLE `jobs` (
`job_id` varchar(10) NOT NULL DEFAULT '',
`job_title` varchar(35) NOT NULL,
`min_salary` int(6) DEFAULT NULL,
`max_salary` int(6) DEFAULT NULL,
PRIMARY KEY (`job_id`),
UNIQUE KEY `job_id_pk` (`job_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*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(4) NOT NULL DEFAULT '0',
`street_address` varchar(40) DEFAULT NULL,
`postal_code` varchar(12) DEFAULT NULL,
`city` varchar(30) NOT NULL,
`state_province` varchar(25) DEFAULT NULL,
`country_id` char(2) DEFAULT NULL,
PRIMARY KEY (`location_id`),
UNIQUE KEY `loc_id_pk` (`location_id`),
KEY `loc_c_id_fk` (`country_id`),
CONSTRAINT `loc_c_id_fk` FOREIGN KEY (`country_id`) REFERENCES `countries` (`country_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*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');
/*Table structure for table `order` */
DROP TABLE IF EXISTS `order`;
CREATE TABLE `order` (
`order_id` int(11) DEFAULT NULL,
`order_name` varchar(15) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `order` */
insert into `order`(`order_id`,`order_name`) values (1,'shkstart'),(2,'tomcat'),(3,'dubbo');
/*Table structure for table `regions` */
DROP TABLE IF EXISTS `regions`;
CREATE TABLE `regions` (
`region_id` int(11) NOT NULL,
`region_name` varchar(25) DEFAULT NULL,
PRIMARY KEY (`region_id`),
UNIQUE KEY `reg_id_pk` (`region_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `regions` */
insert into `regions`(`region_id`,`region_name`) values (1,'Europe'),(2,'Americas'),(3,'Asia'),(4,'Middle East and Africa');
/*Table structure for table `emp_details_view` */
DROP TABLE IF EXISTS `emp_details_view`;
/*!50001 DROP VIEW IF EXISTS `emp_details_view` */;
/*!50001 DROP TABLE IF EXISTS `emp_details_view` */;
/*!50001 CREATE TABLE `emp_details_view`(
`employee_id` int(6) ,
`job_id` varchar(10) ,
`manager_id` int(6) ,
`department_id` int(4) ,
`location_id` int(4) ,
`country_id` char(2) ,
`first_name` varchar(20) ,
`last_name` varchar(25) ,
`salary` double(8,2) ,
`commission_pct` double(2,2) ,
`department_name` varchar(30) ,
`job_title` varchar(35) ,
`city` varchar(30) ,
`state_province` varchar(25) ,
`country_name` varchar(40) ,
`region_name` varchar(25)
)*/;
/*View structure for view emp_details_view */
/*!50001 DROP TABLE IF EXISTS `emp_details_view` */;
/*!50001 DROP VIEW IF EXISTS `emp_details_view` */;
/*!50001 CREATE ALGORITHM=UNDEFINED DEFINER=`root`@`localhost` SQL SECURITY DEFINER VIEW `emp_details_view` AS select `e`.`employee_id` AS `employee_id`,`e`.`job_id` AS `job_id`,`e`.`manager_id` AS `manager_id`,`e`.`department_id` AS `department_id`,`d`.`location_id` AS `location_id`,`l`.`country_id` AS `country_id`,`e`.`first_name` AS `first_name`,`e`.`last_name` AS `last_name`,`e`.`salary` AS `salary`,`e`.`commission_pct` AS `commission_pct`,`d`.`department_name` AS `department_name`,`j`.`job_title` AS `job_title`,`l`.`city` AS `city`,`l`.`state_province` AS `state_province`,`c`.`country_name` AS `country_name`,`r`.`region_name` AS `region_name` from (((((`employees` `e` join `departments` `d`) join `jobs` `j`) join `locations` `l`) join `countries` `c`) join `regions` `r`) where ((`e`.`department_id` = `d`.`department_id`) and (`d`.`location_id` = `l`.`location_id`) and (`l`.`country_id` = `c`.`country_id`) and (`c`.`region_id` = `r`.`region_id`) and (`j`.`job_id` = `e`.`job_id`)) */;
/*!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 */;
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