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SQL Queries for Worker Database

The document contains the output of 18 SQL queries performed on a database table called "Worker". The queries select, filter, aggregate and order the data in various ways to retrieve information such as employee first names, departments, salaries and more. Key pieces of information extracted through the SQL queries include employee names by department, salaries by job title, and names matching certain patterns.

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shreya mishra
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0% found this document useful (0 votes)
69 views11 pages

SQL Queries for Worker Database

The document contains the output of 18 SQL queries performed on a database table called "Worker". The queries select, filter, aggregate and order the data in various ways to retrieve information such as employee first names, departments, salaries and more. Key pieces of information extracted through the SQL queries include employee names by department, salaries by job title, and names matching certain patterns.

Uploaded by

shreya mishra
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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DATABASE MANAGEMENT SYSTEM

ASSIGNMENT 01
1.

mysql>SELECT FIRST_NAME AS W_NAME from Worker;

+----------+

| W_NAME |

+----------+

| Monika |

| Niharika |

| Vishal |

| Amitabh |

| Vivek |

| Vipul |

| Satish |

| Geetika |

+----------+

8 rows in set (0.03 sec)

2.

mysql> Select Upper(First_Name) as First_Name from Worker;

+------------+

| First_Name |

+------------+

| MONIKA |

| NIHARIKA |

| VISHAL |

| AMITABH |

| VIVEK |

| VIPUL |

| SATISH |

| GEETIKA |

+------------+

8 rows in set (0.10 sec)

3.

mysql> SELECT DISTINCT DEPARTMENT from Worker;


+------------+

| DEPARTMENT |

+------------+

| HR |

| Admin |

| Account |

+------------+

3 rows in set (0.04 sec)

4.

mysql> Select FIRST_NAME from Worker where FIRST_NAME LIKE 'M%' OR FIRST_NAME LIKE 'N%';

+------------+

| FIRST_NAME |

+------------+

| Monika |

| Niharika |

+------------+

2 rows in set (0.00 sec)

5.

mysql> SELECT SUBSTRING(FIRST_NAME,1,3) from Worker;

+---------------------------+

| SUBSTRING(FIRST_NAME,1,3) |

+---------------------------+

| Mon |

| Nih |

| Vis |

| Ami |

| Viv |

| Vip |

| Sat |

| Gee |

+---------------------------+

8 rows in set (0.01 sec)

6.
mysql> Select FIRST_NAME from worker where FIRST_NAME LIKE 'N%' OR FIRST_NAME LIKE 'M%' OR FIRST_NAME
LIKE 'V%';

+------------+

| FIRST_NAME |

+------------+

| Monika |

| Niharika |

| Vishal |

| Vivek |

| Vipul |

+------------+

5 rows in set (0.00 sec)

7.

mysql> SELECT WORKER_TITLE,COUNT(*) FROM Title GROUP BY WORKER_TITLE;

+---------------+----------+

| WORKER_TITLE | COUNT(*) |

+---------------+----------+

| Manager | 2|

| Executive | 3|

| Asst. Manager | 1|

| Lead | 2|

+---------------+----------+

4 rows in set (0.00 sec)

8.

mysql> SELECT DISTINCT(DEPARTMENT) FROM Worker;

+------------+

| DEPARTMENT |

+------------+

| HR |

| Admin |

| Account |

+------------+

3 rows in set (0.00 sec)

9.
mysql> SELECT REPLACE(FIRST_NAME,'a','aa') from Worker;

+------------------------------+

| REPLACE(FIRST_NAME,'a','aa') |

+------------------------------+

| Monikaa |

| Nihaarikaa |

| Vishaal |

| Amitaabh |

| Vivek |

| Vipul |

| Saatish |

| Geetikaa |

+------------------------------+

8 rows in set (0.01 sec)

10.

mysql> SELECT CONCAT(FIRST_NAME,' ',LAST_NAME) AS COMPLETE_NAME FROM Worker;

+-----------------+

| COMPLETE_NAME |

+-----------------+

| Monika Arora |

| Niharika Verma |

| Vishal Singhal |

| Amitabh Singh |

| Vivek Bhati |

| Vipul Diwan |

| Satish Kumar |

| Geetika Chauhan |

+-----------------+

8 rows in set (0.04 sec)

11.

mysql> SELECT * from Worker ORDER BY FIRST_NAME ASC;

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+
| 4 | Amitabh | Singh | 500000 | 2014-02-20 09:00:00 | Admin |

| 8 | Geetika | Chauhan | 90000 | 2014-04-11 09:00:00 | Admin |

| 1 | Monika | Arora | 100000 | 2014-02-20 09:00:00 | HR |

| 2 | Niharika | Verma | 80000 | 2014-06-11 09:00:00 | Admin |

| 7 | Satish | Kumar | 75000 | 2014-01-20 09:00:00 | Account |

| 6 | Vipul | Diwan | 200000 | 2014-06-11 09:00:00 | Account |

| 3 | Vishal | Singhal | 300000 | 2014-02-20 09:00:00 | HR |

| 5 | Vivek | Bhati | 500000 | 2014-06-11 09:00:00 | Admin |

+-----------+------------+-----------+--------+---------------------+------------+

8 rows in set (0.16 sec)

12.

mysql> SELECT * from Worker ORDER BY FIRST_NAME asc,DEPARTMENT desc;

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+

| 4 | Amitabh | Singh | 500000 | 2014-02-20 09:00:00 | Admin |

| 8 | Geetika | Chauhan | 90000 | 2014-04-11 09:00:00 | Admin |

| 1 | Monika | Arora | 100000 | 2014-02-20 09:00:00 | HR |

| 2 | Niharika | Verma | 80000 | 2014-06-11 09:00:00 | Admin |

| 7 | Satish | Kumar | 75000 | 2014-01-20 09:00:00 | Account |

| 6 | Vipul | Diwan | 200000 | 2014-06-11 09:00:00 | Account |

| 3 | Vishal | Singhal | 300000 | 2014-02-20 09:00:00 | HR |

| 5 | Vivek | Bhati | 500000 | 2014-06-11 09:00:00 | Admin |

+-----------+------------+-----------+--------+---------------------+------------+

8 rows in set (0.00 sec)

13.

mysql> Select * from Worker where FIRST_NAME not in ('Vipul','Satish');

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+

| 1 | Monika | Arora | 100000 | 2014-02-20 09:00:00 | HR |

| 2 | Niharika | Verma | 80000 | 2014-06-11 09:00:00 | Admin |

| 3 | Vishal | Singhal | 300000 | 2014-02-20 09:00:00 | HR |

| 4 | Amitabh | Singh | 500000 | 2014-02-20 09:00:00 | Admin |


| 5 | Vivek | Bhati | 500000 | 2014-06-11 09:00:00 | Admin |

| 8 | Geetika | Chauhan | 90000 | 2014-04-11 09:00:00 | Admin |

+-----------+------------+-----------+--------+---------------------+------------+

6 rows in set (0.05 sec)

14.

mysql> Select * from Worker where FIRST_NAME in ('Vipul','Satish');

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+

| 6 | Vipul | Diwan | 200000 | 2014-06-11 09:00:00 | Account |

| 7 | Satish | Kumar | 75000 | 2014-01-20 09:00:00 | Account |

+-----------+------------+-----------+--------+---------------------+------------+

2 rows in set (0.00 sec)

15.

mysql> select * from Worker where DEPARTMENT='Admin';

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+

| 2 | Niharika | Verma | 80000 | 2014-06-11 09:00:00 | Admin |

| 4 | Amitabh | Singh | 500000 | 2014-02-20 09:00:00 | Admin |

| 5 | Vivek | Bhati | 500000 | 2014-06-11 09:00:00 | Admin |

| 8 | Geetika | Chauhan | 90000 | 2014-04-11 09:00:00 | Admin |

+-----------+------------+-----------+--------+---------------------+------------+

4 rows in set (0.00 sec)

16.

mysql> Select * from Worker where FIRST_NAME like '_i%';

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+

| 2 | Niharika | Verma | 80000 | 2014-06-11 09:00:00 | Admin |

| 3 | Vishal | Singhal | 300000 | 2014-02-20 09:00:00 | HR |

| 5 | Vivek | Bhati | 500000 | 2014-06-11 09:00:00 | Admin |

| 6 | Vipul | Diwan | 200000 | 2014-06-11 09:00:00 | Account |

+-----------+------------+-----------+--------+---------------------+------------+
4 rows in set (0.00 sec)

17.

mysql> Select * from Worker where FIRST_NAME like '%a' or FIRST_NAME like '%l';

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+

| 1 | Monika | Arora | 100000 | 2014-02-20 09:00:00 | HR |

| 2 | Niharika | Verma | 80000 | 2014-06-11 09:00:00 | Admin |

| 3 | Vishal | Singhal | 300000 | 2014-02-20 09:00:00 | HR |

| 6 | Vipul | Diwan | 200000 | 2014-06-11 09:00:00 | Account |

| 8 | Geetika | Chauhan | 90000 | 2014-04-11 09:00:00 | Admin |

+-----------+------------+-----------+--------+---------------------+------------+

5 rows in set (0.00 sec)

18.

mysql> Select * from Worker where FIRST_NAME like 'a%' or FIRST_NAME like 'b%' or FIRST_NAME like 'c%' or
FIRST_NAME like 'd%' or FIRST_NAME like 'e%' or FIRST_NAME like 'f%' or FIRST_NAME like 'g%' or FIRST_NAME
like 'h%' or FIRST_NAME like 'i%' or FIRST_NAME like 'j%' or FIRST_NAME like 'k%' or FIRST_NAME like 'l%' or
FIRST_NAME like 'm%';

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+

| 1 | Monika | Arora | 100000 | 2014-02-20 09:00:00 | HR |

| 4 | Amitabh | Singh | 500000 | 2014-02-20 09:00:00 | Admin |

| 8 | Geetika | Chauhan | 90000 | 2014-04-11 09:00:00 | Admin |

+-----------+------------+-----------+--------+---------------------+------------+

3 rows in set (0.00 sec)

19.

mysql> select * from Worker where SALARY not in (100000,500000);

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+

| 2 | Niharika | Verma | 80000 | 2014-06-11 09:00:00 | Admin |

| 3 | Vishal | Singhal | 300000 | 2014-02-20 09:00:00 | HR |

| 6 | Vipul | Diwan | 200000 | 2014-06-11 09:00:00 | Account |


| 7 | Satish | Kumar | 75000 | 2014-01-20 09:00:00 | Account |

| 8 | Geetika | Chauhan | 90000 | 2014-04-11 09:00:00 | Admin |

+-----------+------------+-----------+--------+---------------------+------------+

5 rows in set (0.00 sec)

20.

mysql> select * from Worker where year(JOINING_DATE)=2014 and month(JOINING_DATE)=2;

+-----------+------------+-----------+--------+---------------------+------------+

| WORKER_ID | FIRST_NAME | LAST_NAME | SALARY | JOINING_DATE | DEPARTMENT |

+-----------+------------+-----------+--------+---------------------+------------+

| 1 | Monika | Arora | 100000 | 2014-02-20 09:00:00 | HR |

| 3 | Vishal | Singhal | 300000 | 2014-02-20 09:00:00 | HR |

| 4 | Amitabh | Singh | 500000 | 2014-02-20 09:00:00 | Admin |

+-----------+------------+-----------+--------+---------------------+------------+

3 rows in set (0.04 sec)

21.

mysql> select count(DEPARTMENT) from Worker where DEPARTMENT='Admin' or DEPARTMENT='Account';

+-------------------+

| count(DEPARTMENT) |

+-------------------+

| 6|

+-------------------+

1 row in set (0.00 sec)

22.

mysql> select FIRST_NAME from Worker where SALARY between 50000 and 100000;

+------------+

| FIRST_NAME |

+------------+

| Monika |

| Niharika |

| Satish |

| Geetika |

+------------+

4 rows in set (0.00 sec)

23.
mysql> select DEPARTMENT,count(*) from Worker

-> group by DEPARTMENT

-> order by count(*);

+------------+----------+

| DEPARTMENT | count(*) |

+------------+----------+

| HR | 2|

| Account | 2|

24.

mysql> select WORKER_TITLE from Title where not WORKER_TITLE='Executive';

+---------------+

| WORKER_TITLE |

+---------------+

| Manager |

| Manager |

| Asst. Manager |

| Lead |

| Lead |

+---------------+

5 rows in set (0.00 sec)

| Admin | 4|

+------------+----------+

3 rows in set (0.00 sec)

25.

mysql> select count(JOINING_DATE) from Worker where year(JOINING_DATE)>2019 and date(JOINING_DATE)>14;

+---------------------+

| count(JOINING_DATE) |

+---------------------+

| 0|

+---------------------+

1 row in set (0.00 sec)

26.

mysql> select DEPARTMENT from Worker group by DEPARTMENT having count(*)>5;

Empty set (0.00 sec)


27.

mysql> select DEPARTMENT,count(*) from Worker

-> group by DEPARTMENT;

+------------+----------+

| DEPARTMENT | count(*) |

+------------+----------+

| HR | 2|

| Admin | 4|

| Account | 2|

+------------+----------+

3 rows in set (0.00 sec)

28.

mysql> select FIRST_NAME from Worker

-> where SALARY=(select max(SALARY)from Worker);

+------------+

| FIRST_NAME |

+------------+

| Amitabh |

| Vivek |

+------------+

2 rows in set (0.02 sec)

29.

mysql> select DEPARTMENT,sum(SALARY) from Worker group by DEPARTMENT;

+------------+-------------+

| DEPARTMENT | sum(SALARY) |

+------------+-------------+

| HR | 400000 |

| Admin | 1170000 |

| Account | 275000 |

+------------+-------------+

3 rows in set (0.01 sec)

30.

mysql> select max(Salary) from Worker where Salary<(select max(Salary) from Worker);

+-------------+
| max(Salary) |

+-------------+

| 300000 |

+-------------+

1 row in set (0.00 sec)

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