本文使用ORACLE自带的人力资源（HR）实例数据，本文所用表结构如下：
表名：REGIONS
| 序号 | 列名 | 数据类型 | 长度 | 小数位 | 标识 | 主键 | 允许空 | 默认值 | 说明 |
| 1 | REGION_ID | NUMBER |
|
|
| 是 | 否 |
|
|
| 2 | REGION_NAME | VARCHAR2 | 25 |
|
|
| 是 |
|
|
表名：COUNTRIES
| 序号 | 列名 | 数据类型 | 长度 | 小数位 | 标识 | 主键 | 允许空 | 默认值 | 说明 |
| 1 | COUNTRY_ID | CHAR | 2 |
|
| 是 | 否 |
|
|
| 2 | COUNTRY_NAME | VARCHAR2 | 40 |
|
|
| 是 |
|
|
| 3 | REGION_ID | NUMBER |
|
|
|
| 是 |
|
|
表名：LOCATIONS
| 序号 | 列名 | 数据类型 | 长度 | 小数位 | 标识 | 主键 | 允许空 | 默认值 | 说明 |
| 1 | LOCATION_ID | NUMBER | 4 | 0 |
| 是 | 否 |
|
|
| 2 | STREET_ADDRESS | VARCHAR2 | 40 |
|
|
| 是 |
|
|
| 3 | POSTAL_CODE | VARCHAR2 | 12 |
|
|
| 是 |
|
|
| 4 | CITY | VARCHAR2 | 30 |
|
|
| 否 |
|
|
| 5 | STATE_PROVINCE | VARCHAR2 | 25 |
|
|
| 是 |
|
|
| 6 | COUNTRY_ID | CHAR | 2 |
|
|
| 是 |
|
|
表名：DEPARTMENTS
| 序号 | 列名 | 数据类型 | 长度 | 小数位 | 标识 | 主键 | 允许空 | 默认值 | 说明 |
| 1 | DEPARTMENT_ID | NUMBER | 4 | 0 |
| 是 | 否 |
|
|
| 2 | DEPARTMENT_NAME | VARCHAR2 | 30 |
|
|
| 否 |
|
|
| 3 | MANAGER_ID | NUMBER | 6 | 0 |
|
| 是 |
|
|
| 4 | LOCATION_ID | NUMBER | 4 | 0 |
|
| 是 |
|
|
表名：JOBS
| 序号 | 列名 | 数据类型 | 长度 | 小数位 | 标识 | 主键 | 允许空 | 默认值 | 说明 |
| 1 | JOB_ID | VARCHAR2 | 10 |
|
| 是 | 否 |
|
|
| 2 | JOB_TITLE | VARCHAR2 | 35 |
|
|
| 否 |
|
|
| 3 | MIN_SALARY | NUMBER | 6 | 0 |
|
| 是 |
|
|
| 4 | MAX_SALARY | NUMBER | 6 | 0 |
|
| 是 |
|
|
表名：EMPLOYEES
| 序号 | 列名 | 数据类型 | 长度 | 小数位 | 标识 | 主键 | 允许空 | 默认值 | 说明 |
| 1 | EMPLOYEE_ID | NUMBER | 6 | 0 |
| 是 | 否 |
|
|
| 2 | FIRST_NAME | VARCHAR2 | 20 |
|
|
| 是 |
|
|
| 3 | LAST_NAME | VARCHAR2 | 25 |
|
|
| 否 |
|
|
| 4 | | VARCHAR2 | 25 |
|
|
| 否 |
|
|
| 5 | PHONE_NUMBER | VARCHAR2 | 20 |
|
|
| 是 |
|
|
| 6 | HIRE_DATE | DATE | 7 |
|
|
| 否 |
|
|
| 7 | JOB_ID | VARCHAR2 | 10 |
|
|
| 否 |
|
|
| 8 | SALARY | NUMBER | 8 | 2 |
|
| 是 |
|
|
| 9 | COMMISSION_PCT | NUMBER | 2 | 2 |
|
| 是 |
|
|
| 10 | MANAGER_ID | NUMBER | 6 | 0 |
|
| 是 |
|
|
| 11 | DEPARTMENT_ID | NUMBER | 4 | 0 |
|
| 是 |
|
|
ER图：
用SQL完成以下问题列表：
/*---------------------------------------------
1. 各个部门平均、最大、最小工资、人数，按照部门号升序排列。
2. 各个部门中工资大于5000的员工人数。
3. 各个部门平均工资和人数，按照部门名字升序排列。
4. 列出每个部门中有同样工资的员工的统计信息，列出他们的部门号，工资，人数。
5. 列出同部门中工资高于1000 的员工数量超过2 人的部门，显示部门名字、地区名称。
6. 哪些员工的工资，高于整个公司的平均工资，列出员工的名字和工资（降序）。
7. 哪些员工的工资，介于50号 和80号部门平均工资之间。
8. 所在部门平均工资高于5000 的员工名字。
9. 列出各个部门中工资最高的员工的信息：名字、部门号、工资。
10. 最高的部门平均工资是多少。
---------------------------------------------*/
1. 各个部门平均、最大、最小工资、人数，按照部门号升序排列。
2. 各个部门中工资大于5000的员工人数。
3. 各个部门平均工资和人数，按照部门名字升序排列。
4. 列出每个部门中有同样工资的员工的统计信息，列出他们的部门号，工资，人数。
5. 列出同部门中工资高于1000 的员工数量超过2 人的部门，显示部门名字、地区名称。
6. 哪些员工的工资，高于整个公司的平均工资，列出员工的名字和工资（降序）。
7. 哪些员工的工资，介于50号 和80号部门平均工资之间。
8. 所在部门平均工资高于5000 的员工名字。
9. 列出各个部门中工资最高的员工的信息：名字、部门号、工资。
10. 最高的部门平均工资是多少。
---------------------------------------------*/
/*--------1、各个部门平均、最大、最小工资、人数，按照部门号升序排列。---------*/
SQL> SELECT DEPARTMENT_ID AS 部门号,AVG(SALARY) AS 平均工资
2 ,MAX(SALARY) AS 最高工资,MIN(SALARY) AS 最低工资
3 ,COUNT(*) AS 人数
4 FROM EMPLOYEES
5 GROUP BY DEPARTMENT_ID
6 ORDER BY DEPARTMENT_ID ASC;
部门号 平均工资 最高工资 最低工资 人数
------ ---------- ---------- ---------- ----------
10 4400 4400 4400 1
20 9500 13000 6000 2
30 4150 11000 2500 6
40 6500 6500 6500 1
50 3475.55555 8200 2100 45
60 5760 9000 4200 5
70 10000 10000 10000 1
80 8973.85294 14000 6100 34
90 21333.3333 24000 20000 3
100 8600 12000 6900 6
110 10150 12000 8300 2
7000 7000 7000 1
12 rows selected
/*--------2、各个部门中工资大于5000的员工人数。---------*/
SQL> SELECT DEPARTMENT_ID,COUNT(*) FROM EMPLOYEES
2 WHERE SALARY > 5000
3 GROUP BY DEPARTMENT_ID;
DEPARTMENT_ID COUNT(*)
------------- ----------
20 2
30 1
40 1
50 5
60 2
70 1
80 34
90 3
100 6
110 2
1
11 rows selected
/*--------3、各个部门平均工资和人数，按照部门名字升序排列。---------*/
SQL> SELECT DPTNAME,AVG(SALARY),COUNT(*) FROM
2 (SELECT
3 (SELECT DEPT.DEPARTMENT_NAME FROM DEPARTMENTS DEPT
4 WHERE DEPT.DEPARTMENT_ID = EMP.DEPARTMENT_ID) DPTNAME,
5 EMP.SALARY
6 FROM EMPLOYEES EMP)
7 GROUP BY DPTNAME
8 ORDER BY DPTNAME;
DPTNAME AVG(SALARY) COUNT(*)
------------------------------ ----------- ----------
Accounting 10150 2
Administration 4400 1
Executive 21333.33333 3
Finance 8600 6
Human Resources 6500 1
IT 5760 5
Marketing 9500 2
Public Relations 10000 1
Purchasing 4150 6
Sales 8973.852941 34
Shipping 3475.555555 45
7000 1
12 rows selected
--或者--
SQL> SELECT DEPT.DEPARTMENT_NAME,AVG(EMP.SALARY),COUNT(*)
2 FROM EMPLOYEES EMP,DEPARTMENTS DEPT
3 WHERE EMP.DEPARTMENT_ID = DEPT.DEPARTMENT_ID
4 GROUP BY DEPT.DEPARTMENT_NAME
5 ORDER BY DEPT.DEPARTMENT_NAME;
DEPARTMENT_NAME AVG(EMP.SALARY) COUNT(*)
------------------------------ --------------- ----------
Accounting 10150 2
Administration 4400 1
Executive 21333.333333333 3
Finance 8600 6
Human Resources 6500 1
IT 5760 5
Marketing 9500 2
Public Relations 10000 1
Purchasing 4150 6
Sales 8973.8529411764 34
Shipping 3475.5555555555 45
11 rows selected
--可以看到，这种方式，对于部门号为空的没有统计出来
/*--------4、列出每个部门中有同样工资的员工的统计信息，
列出他们的部门号，工资，人数。---------*/
SQL> SELECT EMP1.DEPARTMENT_ID,EMP1.SALARY,COUNT(*) CNT
2 FROM EMPLOYEES EMP1,EMPLOYEES EMP2
3 WHERE EMP1.DEPARTMENT_ID = EMP2.DEPARTMENT_ID AND
4 EMP1.SALARY = EMP2.SALARY
5 AND EMP1.EMPLOYEE_ID <> EMP2.EMPLOYEE_ID
6 GROUP BY EMP1.DEPARTMENT_ID,EMP1.SALARY;
DEPARTMENT_ID SALARY CNT
------------- ---------- ----------
50 2200.00 2
50 2400.00 2
50 2500.00 20
50 2600.00 6
50 2700.00 2
50 2800.00 6
50 2900.00 2
50 3000.00 2
50 3100.00 6
50 3200.00 12
50 3300.00 2
50 3600.00 2
60 4800.00 2
80 7000.00 2
80 7500.00 2
80 8000.00 6
80 9000.00 2
80 9500.00 6
80 10000.00 6
80 10500.00 2
80 11000.00 2
90 20000.00 2
22 rows selected
/*--------5、列出同部门中工资高于1000 的员工数量超过2 人的部门，
显示部门名字、地区名称。---------*/
SQL> SELECT D.DEPARTMENT_NAME,L.CITY,COUNT(*)
2 FROM EMPLOYEES E,DEPARTMENTS D,LOCATIONS L
3 WHERE E.DEPARTMENT_ID = D.DEPARTMENT_ID AND
4 D.LOCATION_ID = L.LOCATION_ID AND
5 E.SALARY > 1000
6 GROUP BY D.DEPARTMENT_NAME,L.CITY
7 HAVING COUNT(*) > 2;
DEPARTMENT_NAME CITY COUNT(*)
------------------------------ ------------------------------ ----------
IT Southlake 5
Sales Oxford 34
Finance Seattle 6
Shipping South San Francisco 45
Executive Seattle 3
Purchasing Seattle 6
6 rows selected
SQL> SELECT DEPARTMENT_ID AS 部门号,AVG(SALARY) AS 平均工资
2 ,MAX(SALARY) AS 最高工资,MIN(SALARY) AS 最低工资
3 ,COUNT(*) AS 人数
4 FROM EMPLOYEES
5 GROUP BY DEPARTMENT_ID
6 ORDER BY DEPARTMENT_ID ASC;
部门号 平均工资 最高工资 最低工资 人数
------ ---------- ---------- ---------- ----------
10 4400 4400 4400 1
20 9500 13000 6000 2
30 4150 11000 2500 6
40 6500 6500 6500 1
50 3475.55555 8200 2100 45
60 5760 9000 4200 5
70 10000 10000 10000 1
80 8973.85294 14000 6100 34
90 21333.3333 24000 20000 3
100 8600 12000 6900 6
110 10150 12000 8300 2
7000 7000 7000 1
12 rows selected
/*--------2、各个部门中工资大于5000的员工人数。---------*/
SQL> SELECT DEPARTMENT_ID,COUNT(*) FROM EMPLOYEES
2 WHERE SALARY > 5000
3 GROUP BY DEPARTMENT_ID;
DEPARTMENT_ID COUNT(*)
------------- ----------
20 2
30 1
40 1
50 5
60 2
70 1
80 34
90 3
100 6
110 2
1
11 rows selected
/*--------3、各个部门平均工资和人数，按照部门名字升序排列。---------*/
SQL> SELECT DPTNAME,AVG(SALARY),COUNT(*) FROM
2 (SELECT
3 (SELECT DEPT.DEPARTMENT_NAME FROM DEPARTMENTS DEPT
4 WHERE DEPT.DEPARTMENT_ID = EMP.DEPARTMENT_ID) DPTNAME,
5 EMP.SALARY
6 FROM EMPLOYEES EMP)
7 GROUP BY DPTNAME
8 ORDER BY DPTNAME;
DPTNAME AVG(SALARY) COUNT(*)
------------------------------ ----------- ----------
Accounting 10150 2
Administration 4400 1
Executive 21333.33333 3
Finance 8600 6
Human Resources 6500 1
IT 5760 5
Marketing 9500 2
Public Relations 10000 1
Purchasing 4150 6
Sales 8973.852941 34
Shipping 3475.555555 45
7000 1
12 rows selected
--或者--
SQL> SELECT DEPT.DEPARTMENT_NAME,AVG(EMP.SALARY),COUNT(*)
2 FROM EMPLOYEES EMP,DEPARTMENTS DEPT
3 WHERE EMP.DEPARTMENT_ID = DEPT.DEPARTMENT_ID
4 GROUP BY DEPT.DEPARTMENT_NAME
5 ORDER BY DEPT.DEPARTMENT_NAME;
DEPARTMENT_NAME AVG(EMP.SALARY) COUNT(*)
------------------------------ --------------- ----------
Accounting 10150 2
Administration 4400 1
Executive 21333.333333333 3
Finance 8600 6
Human Resources 6500 1
IT 5760 5
Marketing 9500 2
Public Relations 10000 1
Purchasing 4150 6
Sales 8973.8529411764 34
Shipping 3475.5555555555 45
11 rows selected
--可以看到，这种方式，对于部门号为空的没有统计出来
/*--------4、列出每个部门中有同样工资的员工的统计信息，
列出他们的部门号，工资，人数。---------*/
SQL> SELECT EMP1.DEPARTMENT_ID,EMP1.SALARY,COUNT(*) CNT
2 FROM EMPLOYEES EMP1,EMPLOYEES EMP2
3 WHERE EMP1.DEPARTMENT_ID = EMP2.DEPARTMENT_ID AND
4 EMP1.SALARY = EMP2.SALARY
5 AND EMP1.EMPLOYEE_ID <> EMP2.EMPLOYEE_ID
6 GROUP BY EMP1.DEPARTMENT_ID,EMP1.SALARY;
DEPARTMENT_ID SALARY CNT
------------- ---------- ----------
50 2200.00 2
50 2400.00 2
50 2500.00 20
50 2600.00 6
50 2700.00 2
50 2800.00 6
50 2900.00 2
50 3000.00 2
50 3100.00 6
50 3200.00 12
50 3300.00 2
50 3600.00 2
60 4800.00 2
80 7000.00 2
80 7500.00 2
80 8000.00 6
80 9000.00 2
80 9500.00 6
80 10000.00 6
80 10500.00 2
80 11000.00 2
90 20000.00 2
22 rows selected
/*--------5、列出同部门中工资高于1000 的员工数量超过2 人的部门，
显示部门名字、地区名称。---------*/
SQL> SELECT D.DEPARTMENT_NAME,L.CITY,COUNT(*)
2 FROM EMPLOYEES E,DEPARTMENTS D,LOCATIONS L
3 WHERE E.DEPARTMENT_ID = D.DEPARTMENT_ID AND
4 D.LOCATION_ID = L.LOCATION_ID AND
5 E.SALARY > 1000
6 GROUP BY D.DEPARTMENT_NAME,L.CITY
7 HAVING COUNT(*) > 2;
DEPARTMENT_NAME CITY COUNT(*)
------------------------------ ------------------------------ ----------
IT Southlake 5
Sales Oxford 34
Finance Seattle 6
Shipping South San Francisco 45
Executive Seattle 3
Purchasing Seattle 6
6 rows selected
/*--------6、哪些员工的工资，高于整个公司的平均工资，
列出员工的名字和工资（降序）。---------*/
SQL> SELECT FIRST_NAME || ' ' || LAST_NAME,SALARY
2 FROM EMPLOYEES
3 WHERE SALARY > (
4 SELECT AVG(SALARY)
5 FROM EMPLOYEES
6 )
7 ORDER BY SALARY DESC;
FIRST_NAME||''||LAST_NAME SALARY
---------------------------------------------- ----------
Steven King 24000.00
Neena Kochhar 20000.00
Lex De Haan 20000.00
John Russell 14000.00
Karen Partners 13500.00
Michael Hartstein 13000.00
Nancy Greenberg 12000.00
Alberto Errazuriz 12000.00
Shelley Higgins 12000.00
Lisa Ozer 11500.00
Den Raphaely 11000.00
Gerald Cambrault 11000.00
Ellen Abel 11000.00
Eleni Zlotkey 10500.00
Clara Vishney 10500.00
Peter Tucker 10000.00
Janette King 10000.00
Harrison Bloom 10000.00
Hermann Baer 10000.00
Tayler Fox 9600.00
--共50条数据
/*--------7、哪些员工的工资，介于50号 和80号 部门平均工资之间。---------*/
SQL> SELECT FIRST_NAME || ' ' || LAST_NAME AS NAME,SALARY
2 FROM EMPLOYEES
3 WHERE SALARY
4 BETWEEN
5 (SELECT AVG(SALARY) FROM EMPLOYEES
6 WHERE DEPARTMENT_ID = 50)
7 AND (SELECT AVG(SALARY) FROM EMPLOYEES
8 WHERE DEPARTMENT_ID = 80);
NAME SALARY
---------------------------------------------- ----------
Bruce Ernst 6000.00
David Austin 4800.00
Valli Pataballa 4800.00
Diana Lorentz 4200.00
John Chen 8200.00
Ismael Sciarra 7700.00
Jose Manuel Urman 7800.00
Luis Popp 6900.00
Matthew Weiss 8000.00
Adam Fripp 8200.00
Payam Kaufling 7900.00
Shanta Vollman 6500.00
Kevin Mourgos 5800.00
Renske Ladwig 3600.00
Trenna Rajs 3500.00
Christopher Olsen 8000.00
Nanette Cambrault 7500.00
Oliver Tuvault 7000.00
Lindsey Smith 8000.00
Louise Doran 7500.00
Sarath Sewall 7000.00
Mattea Marvins 7200.00
David Lee 6800.00
Sundar Ande 6400.00
Amit Banda 6200.00
William Smith 7400.00
Elizabeth Bates 7300.00
Sundita Kumar 6100.00
Alyssa Hutton 8800.00
Jonathon Taylor 8600.00
Jack Livingston 8000.00
Kimberely Grant 7000.00
Charles Johnson 7211.00
Nandita Sarchand 4200.00
Alexis Bull 4100.00
Kelly Chung 3800.00
Jennifer Dilly 3600.00
Sarah Bell 4000.00
Britney Everett 3900.00
Jennifer Whalen 4400.00
Pat Fay 6000.00
Susan Mavris 6500.00
William Gietz 8300.00
43 rows selected
/*--------8、所在部门平均工资高于5000 的员工名字。---------*/
SQL> SELECT FIRST_NAME || ' ' || LAST_NAME AS NAME,SALARY
2 FROM EMPLOYEES
3 WHERE DEPARTMENT_ID IN
4 (SELECT DEPARTMENT_ID FROM EMPLOYEES
5 GROUP BY DEPARTMENT_ID
6 HAVING AVG(SALARY) > 5000);
NAME SALARY
---------------------------------------------- ----------
Michael Hartstein 13000.00
Pat Fay 6000.00
Susan Mavris 6500.00
Alexander Hunold 9000.00
Bruce Ernst 6000.00
David Austin 4800.00
Valli Pataballa 4800.00
Diana Lorentz 4200.00
Hermann Baer 10000.00
John Russell 14000.00
Karen Partners 13500.00
Alberto Errazuriz 12000.00
Gerald Cambrault 11000.00
Eleni Zlotkey 10500.00
Peter Tucker 10000.00
David Bernstein 9500.00
Peter Hall 9000.00
Christopher Olsen 8000.00
Nanette Cambrault 7500.00
Oliver Tuvault 7000.00
--等54行数据…
/*--------9、列出各个部门中工资最高的员工的信息：名字、部门号、工资。---------*/
SQL> SELECT FIRST_NAME || ' ' || LAST_NAME AS NAME
2 ,SALARY,DEPARTMENT_ID
3 FROM EMPLOYEES
4 WHERE (DEPARTMENT_ID,SALARY) IN
5 (SELECT DEPARTMENT_ID,MAX(SALARY)
6 FROM EMPLOYEES
7 GROUP BY DEPARTMENT_ID);
NAME SALARY DEPARTMENT_ID
---------------------------------------------- ---------- -------------
Jennifer Whalen 4400.00 10
Michael Hartstein 13000.00 20
Den Raphaely 11000.00 30
Susan Mavris 6500.00 40
Adam Fripp 8200.00 50
Alexander Hunold 9000.00 60
Hermann Baer 10000.00 70
John Russell 14000.00 80
Steven King 24000.00 90
Nancy Greenberg 12000.00 100
Shelley Higgins 12000.00 110
11 rows selected
/*--------10、最高的部门平均工资是多少。---------*/
SQL> SELECT MAX(AVGSALARY)
2 FROM(SELECT DEPARTMENT_ID,AVG(SALARY) AVGSALARY
3 FROM EMPLOYEES
4 GROUP BY DEPARTMENT_ID);
MAX(AVGSALARY)
--------------
21333.33333333
列出员工的名字和工资（降序）。---------*/
SQL> SELECT FIRST_NAME || ' ' || LAST_NAME,SALARY
2 FROM EMPLOYEES
3 WHERE SALARY > (
4 SELECT AVG(SALARY)
5 FROM EMPLOYEES
6 )
7 ORDER BY SALARY DESC;
FIRST_NAME||''||LAST_NAME SALARY
---------------------------------------------- ----------
Steven King 24000.00
Neena Kochhar 20000.00
Lex De Haan 20000.00
John Russell 14000.00
Karen Partners 13500.00
Michael Hartstein 13000.00
Nancy Greenberg 12000.00
Alberto Errazuriz 12000.00
Shelley Higgins 12000.00
Lisa Ozer 11500.00
Den Raphaely 11000.00
Gerald Cambrault 11000.00
Ellen Abel 11000.00
Eleni Zlotkey 10500.00
Clara Vishney 10500.00
Peter Tucker 10000.00
Janette King 10000.00
Harrison Bloom 10000.00
Hermann Baer 10000.00
Tayler Fox 9600.00
--共50条数据
/*--------7、哪些员工的工资，介于50号 和80号 部门平均工资之间。---------*/
SQL> SELECT FIRST_NAME || ' ' || LAST_NAME AS NAME,SALARY
2 FROM EMPLOYEES
3 WHERE SALARY
4 BETWEEN
5 (SELECT AVG(SALARY) FROM EMPLOYEES
6 WHERE DEPARTMENT_ID = 50)
7 AND (SELECT AVG(SALARY) FROM EMPLOYEES
8 WHERE DEPARTMENT_ID = 80);
NAME SALARY
---------------------------------------------- ----------
Bruce Ernst 6000.00
David Austin 4800.00
Valli Pataballa 4800.00
Diana Lorentz 4200.00
John Chen 8200.00
Ismael Sciarra 7700.00
Jose Manuel Urman 7800.00
Luis Popp 6900.00
Matthew Weiss 8000.00
Adam Fripp 8200.00
Payam Kaufling 7900.00
Shanta Vollman 6500.00
Kevin Mourgos 5800.00
Renske Ladwig 3600.00
Trenna Rajs 3500.00
Christopher Olsen 8000.00
Nanette Cambrault 7500.00
Oliver Tuvault 7000.00
Lindsey Smith 8000.00
Louise Doran 7500.00
Sarath Sewall 7000.00
Mattea Marvins 7200.00
David Lee 6800.00
Sundar Ande 6400.00
Amit Banda 6200.00
William Smith 7400.00
Elizabeth Bates 7300.00
Sundita Kumar 6100.00
Alyssa Hutton 8800.00
Jonathon Taylor 8600.00
Jack Livingston 8000.00
Kimberely Grant 7000.00
Charles Johnson 7211.00
Nandita Sarchand 4200.00
Alexis Bull 4100.00
Kelly Chung 3800.00
Jennifer Dilly 3600.00
Sarah Bell 4000.00
Britney Everett 3900.00
Jennifer Whalen 4400.00
Pat Fay 6000.00
Susan Mavris 6500.00
William Gietz 8300.00
43 rows selected
/*--------8、所在部门平均工资高于5000 的员工名字。---------*/
SQL> SELECT FIRST_NAME || ' ' || LAST_NAME AS NAME,SALARY
2 FROM EMPLOYEES
3 WHERE DEPARTMENT_ID IN
4 (SELECT DEPARTMENT_ID FROM EMPLOYEES
5 GROUP BY DEPARTMENT_ID
6 HAVING AVG(SALARY) > 5000);
NAME SALARY
---------------------------------------------- ----------
Michael Hartstein 13000.00
Pat Fay 6000.00
Susan Mavris 6500.00
Alexander Hunold 9000.00
Bruce Ernst 6000.00
David Austin 4800.00
Valli Pataballa 4800.00
Diana Lorentz 4200.00
Hermann Baer 10000.00
John Russell 14000.00
Karen Partners 13500.00
Alberto Errazuriz 12000.00
Gerald Cambrault 11000.00
Eleni Zlotkey 10500.00
Peter Tucker 10000.00
David Bernstein 9500.00
Peter Hall 9000.00
Christopher Olsen 8000.00
Nanette Cambrault 7500.00
Oliver Tuvault 7000.00
--等54行数据…
/*--------9、列出各个部门中工资最高的员工的信息：名字、部门号、工资。---------*/
SQL> SELECT FIRST_NAME || ' ' || LAST_NAME AS NAME
2 ,SALARY,DEPARTMENT_ID
3 FROM EMPLOYEES
4 WHERE (DEPARTMENT_ID,SALARY) IN
5 (SELECT DEPARTMENT_ID,MAX(SALARY)
6 FROM EMPLOYEES
7 GROUP BY DEPARTMENT_ID);
NAME SALARY DEPARTMENT_ID
---------------------------------------------- ---------- -------------
Jennifer Whalen 4400.00 10
Michael Hartstein 13000.00 20
Den Raphaely 11000.00 30
Susan Mavris 6500.00 40
Adam Fripp 8200.00 50
Alexander Hunold 9000.00 60
Hermann Baer 10000.00 70
John Russell 14000.00 80
Steven King 24000.00 90
Nancy Greenberg 12000.00 100
Shelley Higgins 12000.00 110
11 rows selected
/*--------10、最高的部门平均工资是多少。---------*/
SQL> SELECT MAX(AVGSALARY)
2 FROM(SELECT DEPARTMENT_ID,AVG(SALARY) AVGSALARY
3 FROM EMPLOYEES
4 GROUP BY DEPARTMENT_ID);
MAX(AVGSALARY)
--------------
21333.33333333
