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UseCaseEmployeePayroll.txt
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# Use case 1 >>>>>>>>>
mysql> show databases;
+--------------------+
| Database |
+--------------------+
| demo |
| information_schema |
| mysql |
| performance_schema |
| sys |
+--------------------+
5 rows in set (0.00 sec)
mysql> create database EmployeePayroll;
Query OK, 1 row affected (0.19 sec)
mysql> show databases;
+--------------------+
| Database |
+--------------------+
| demo |
| employeepayroll |
| information_schema |
| mysql |
| performance_schema |
| sys |
+--------------------+
6 rows in set (0.00 sec)
mysql> use EmployeePayroll;
Database changed
mysql>
# Use case 2 >>>>>>>>>
mysql> CREATE TABLE employee_payroll(
-> id INT unsigned NOT NULL AUTO_INCREMENT,
-> name VARCHAR(150) NOT NULL,
-> salary Double NOT NULL,
-> start DATE NOT NULL,
-> PRIMARY KEY (id));
Query OK, 0 rows affected (4.23 sec)
mysql> SHOW TABLES;
+---------------------------+
| Tables_in_employeepayroll |
+---------------------------+
| employee_payroll |
+---------------------------+
1 row in set (0.09 sec)
mysql> DESCRIBE employee_payroll;
+--------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------+--------------+------+-----+---------+----------------+
| id | int unsigned | NO | PRI | NULL | auto_increment |
| name | varchar(150) | NO | | NULL | |
| salary | double | NO | | NULL | |
| start | date | NO | | NULL | |
+--------+--------------+------+-----+---------+----------------+
4 rows in set (0.19 sec)
mysql>
# Use case 3 >>>>>>>>
mysql> INSERT INTO employee_payroll VALUES (100, "Rhushi", 10000, '2022-07-05');
Query OK, 1 row affected (0.31 sec)
mysql> SELECT * FROM employee_payroll;
+-----+--------+--------+------------+
| id | name | salary | start |
+-----+--------+--------+------------+
| 100 | Rhushi | 10000 | 2022-07-05 |
+-----+--------+--------+------------+
1 row in set (0.04 sec)
mysql> INSERT INTO employee_payroll VALUES
-> (101, "Anup", 35000, '2018-05-31'),
-> (102, "Raju", 22000, '2016-11-25'),
-> (103, "Vaibhav", 17000, '2018-05-31'),
-> (104, "Shital", 27000, '2021-09-22'),
-> (105, "Mohan", 17000, '2019-05-05');
Query OK, 5 rows affected (0.59 sec)
Records: 5 Duplicates: 0 Warnings: 0
mysql> SELECT * FROM employee_payroll;
+-----+---------+--------+------------+
| id | name | salary | start |
+-----+---------+--------+------------+
| 100 | Rhushi | 10000 | 2022-07-05 |
| 101 | Anup | 35000 | 2018-05-31 |
| 102 | Raju | 22000 | 2016-11-25 |
| 103 | Vaibhav | 17000 | 2018-05-31 |
| 104 | Shital | 27000 | 2021-09-22 |
| 105 | Mohan | 17000 | 2019-05-05 |
+-----+---------+--------+------------+
6 rows in set (0.00 sec)
mysql> SELECT * FROM employee_payroll WHERE salary > 15000 AND salary < 30000;
+-----+---------+--------+------------+
| id | name | salary | start |
+-----+---------+--------+------------+
| 102 | Raju | 22000 | 2016-11-25 |
| 103 | Vaibhav | 17000 | 2018-05-31 |
| 104 | Shital | 27000 | 2021-09-22 |
| 105 | Mohan | 17000 | 2019-05-05 |
+-----+---------+--------+------------+
4 rows in set (0.00 sec)
mysql> UPDATE employee_payroll SET salary = 20500 WHERE name = 'Raju';
Query OK, 1 row affected (0.14 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> SELECT * FROM employee_payroll;
+-----+---------+--------+------------+
| id | name | salary | start |
+-----+---------+--------+------------+
| 100 | Rhushi | 10000 | 2022-07-05 |
| 101 | Anup | 35000 | 2018-05-31 |
| 102 | Raju | 20500 | 2016-11-25 |
| 103 | Vaibhav | 17000 | 2018-05-31 |
| 104 | Shital | 27000 | 2021-09-22 |
| 105 | Mohan | 17000 | 2019-05-05 |
+-----+---------+--------+------------+
6 rows in set (0.00 sec)
mysql> SELECT DISTINCT start FROM employee_payroll;
+------------+
| start |
+------------+
| 2022-07-05 |
| 2018-05-31 |
| 2016-11-25 |
| 2021-09-22 |
| 2019-05-05 |
+------------+
5 rows in set (0.04 sec)
mysql> DELETE FROM employee_payroll WHERE salary = 20500;
Query OK, 1 row affected (0.11 sec)
mysql> SELECT * FROM employee_payroll;
+-----+---------+--------+------------+
| id | name | salary | start |
+-----+---------+--------+------------+
| 100 | Rhushi | 10000 | 2022-07-05 |
| 101 | Anup | 35000 | 2018-05-31 |
| 103 | Vaibhav | 17000 | 2018-05-31 |
| 104 | Shital | 27000 | 2021-09-22 |
| 105 | Mohan | 17000 | 2019-05-05 |
+-----+---------+--------+------------+
5 rows in set (0.00 sec)
mysql> SELECT * FROM employee_payroll WHERE
-> (id = 104 AND start = '2022-07-05') OR
-> (name = "Rhushi" AND salary > 30000);
Empty set (0.06 sec)
mysql>
# Use case 4 >>>>>>>>>>
mysql> SELECT * FROM employee_payroll;
+-----+---------+--------+------------+
| id | name | salary | start |
+-----+---------+--------+------------+
| 100 | Rhushi | 10000 | 2022-07-05 |
| 101 | Anup | 35000 | 2018-05-31 |
| 103 | Vaibhav | 17000 | 2018-05-31 |
| 104 | Shital | 27000 | 2021-09-22 |
| 105 | Mohan | 17000 | 2019-05-05 |
+-----+---------+--------+------------+
5 rows in set (0.00 sec)
mysql> SELECT name, start FROM employee_payroll ORDER BY start;
+---------+------------+
| name | start |
+---------+------------+
| Anup | 2018-05-31 |
| Vaibhav | 2018-05-31 |
| Mohan | 2019-05-05 |
| Shital | 2021-09-22 |
| Rhushi | 2022-07-05 |
+---------+------------+
5 rows in set (0.00 sec)
mysql> SELECT name, start FROM employee_payroll ORDER BY start DESC;
+---------+------------+
| name | start |
+---------+------------+
| Rhushi | 2022-07-05 |
| Shital | 2021-09-22 |
| Mohan | 2019-05-05 |
| Anup | 2018-05-31 |
| Vaibhav | 2018-05-31 |
+---------+------------+
5 rows in set (0.00 sec)
# Use case 5 >>>>>>>>>
mysql> SELECT salary FROM employee_payroll WHERE name = 'Anup';
+--------+
| salary |
+--------+
| 35000 |
+--------+
1 row in set (0.00 sec)
mysql> SELECT salary FROM employee_payroll WHERE start BETWEEN CAST('2018-05-31'AS DATE) AND DATE(NOW());
+--------+
| salary |
+--------+
| 10000 |
| 35000 |
| 17000 |
| 27000 |
| 17000 |
+--------+
5 rows in set (0.06 sec)
# Use case 6 >>>>>>>>>
mysql> ALTER TABLE employee_payroll ADD gender char(1);
Query OK, 0 rows affected (0.56 sec)
Records: 0 Duplicates: 0 Warnings: 0
mysql> SELECT * FROM employee_payroll;
+-----+---------+--------+------------+--------+
| id | name | salary | start | gender |
+-----+---------+--------+------------+--------+
| 100 | Rhushi | 10000 | 2022-07-05 | NULL |
| 101 | Anup | 35000 | 2018-05-31 | NULL |
| 103 | Vaibhav | 17000 | 2018-05-31 | NULL |
| 104 | Shital | 27000 | 2021-09-22 | NULL |
| 105 | Mohan | 17000 | 2019-05-05 | NULL |
+-----+---------+--------+------------+--------+
5 rows in set (0.00 sec)
mysql> UPDATE employee_payroll SET gender = 'M' WHERE name = 'Rhushi' OR name = 'Anup' OR name = 'Vaibhav' OR name = 'Mohan';
Query OK, 2 rows affected (0.11 sec)
Rows matched: 4 Changed: 2 Warnings: 0
mysql> UPDATE employee_payroll SET gender = 'F' WHERE name = 'Shital';
Query OK, 1 row affected (0.11 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> SELECT * FROM employee_payroll;
+-----+---------+--------+------------+--------+
| id | name | salary | start | gender |
+-----+---------+--------+------------+--------+
| 100 | Rhushi | 10000 | 2022-07-05 | M |
| 101 | Anup | 35000 | 2018-05-31 | M |
| 103 | Vaibhav | 17000 | 2018-05-31 | M |
| 104 | Shital | 27000 | 2021-09-22 | F |
| 105 | Mohan | 17000 | 2019-05-05 | M |
+-----+---------+--------+------------+--------+
5 rows in set (0.00 sec)
mysql>