Corina Pérez Figuera

delete.sql

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+--Delete all employees with a salary greater than 20,000
+    DELETE FROM salaries WHERE salary >20000;
+
+--Remove the department that has more employees
+DELETE FROM dept_emp WHERE COUNT(emp_no)

insertData.sql

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+-- Insert Data
+
+INSERT INTO employees (emp_no, birth_date, First_name, last_name, gender, hire_date)
+values
+('1', '1998-12-15', 'Mike', 'Navarro', 'M', '2018-03-20'),
+('2', '1985-11-05', 'Mike', 'Smith', 'M', '2021-04-19'),
+('3', '1999-05-12', 'Mike', 'Herrera', 'M', '2020-05-18'),
+('4', '1989-01-08', 'Carolina', 'Herrera', 'F', '2018-01-14'),
+('5', '1998-12-15', 'Collete', 'Delacroix', 'F', '2018-03-20'),
+('6', '1995-06-10', 'Petronila', 'López', 'M', '2018-03-20'),
+('7', '1983-09-17', 'Pierre', 'Nodoiuna', 'M', '2019-04-19'),
+('8', '1998-02-14', 'Pedro', 'Bello', 'M', '2021-06-20'),
+('9', '1995-09-23', 'Penélope', 'Glamour', 'F', '2018-01-14'),
+('10', '1995-06-10', 'Sis', 'Macana', 'F', '2019-04-19'),
+('11', '1995-06-10', 'Jamie', 'Locobich', 'M', '2018-01-14'),
+('12', '1987-07-18', 'Hans', 'Fritz', 'M', '2018-01-14'),
+('13', '1993-08-06', 'Luke', 'Granero', 'M', '2021-04-19'),
+('14', '1987-07-18', 'Patan', 'Muttley', 'M', '2018-01-14'),
+('15', '1991-10-25', 'Blast', 'Meekly', 'F', '2021-04-19');
+
+INSERT INTO salaries ( emp_no,	salary,	from_date,	to_date) values
+('1', '8000', '2018-03-20', '2021-01-01'),
+('1', '25000', '2021-01-01', UTC_DATE()),
+('2', '7000', '2021-04-19', UTC_DATE()),
+('3', '8500', '2020-05-18', UTC_DATE()),
+('4', '25000', '2018-01-14', '2020-01-14'),
+('4', '40000', '2020-01-14', UTC_DATE()),
+('5', '12000', '2018-03-20', '2019-03-20'),
+('5', '20000', '2019-03-20', '2020-03-20'),
+('5', '32000', '2020-03-20', UTC_DATE()),
+('6', '5000', '2018-03-20',  '2019-03-20'),
+('6', '16000', '2019-03-20', UTC_DATE()),
+('7', '30000', '2019-04-19', UTC_DATE()),
+('8', '10000', '2021-06-20', UTC_DATE()),
+('9', '6000', '2018-01-14', '2019-01-14'),
+('9', '10000', '2019-01-14', '2020-01-14'),
+('10', '30000', '2019-04-19', UTC_DATE()),
+('11', '30000', '2018-01-14', UTC_DATE()),
+('12', '20000', '2018-01-14', UTC_DATE()),
+('13', '10000', '2021-04-19', UTC_DATE()),
+('14', '9000', '2018-01-14', UTC_DATE()),
+('15', '6000', '2021-04-19', UTC_DATE());
+
+INSERT INTO departments (dept_no,	dept_name) values
+('1', 'Finance '),
+('2', ' Human Resources'),
+('3', 'Marketing'),
+('4', 'Sales'),
+('5', 'General Management'),
+('6', 'Logistics');
+
+INSERT INTO dept_emp (emp_no,	dept_no,	from_date,	to_date) values
+('1', '1', '2018-03-20',  UTC_DATE()),
+('1', '4', '2021-01-01',  UTC_DATE()),
+('2', '3', '2021-04-19', UTC_DATE()),
+('3','2','2020-05-18', UTC_DATE()),
+('3','3', '2020-05-18', UTC_DATE()),
+('4', '1', '2018-01-14', UTC_DATE()),
+('4', '5', '2020-01-14', UTC_DATE()),
+('5', '4', '2018-03-20','2021-06-20'),
+('5', '3', '2019-03-20', UTC_DATE()),
+('5', '5', '2020-03-20', UTC_DATE()),
+('6','3','2019-03-20', UTC_DATE()),
+('7', '6', '2019-04-19', UTC_DATE()),
+('7', '1', '2019-04-19', UTC_DATE()),
+('8','5', '2022-01-17', UTC_DATE()),
+('8','4', '2021-06-20', UTC_DATE()),
+('9','1', '2018-01-14','2020-01-14'),
+('9','4', '2019-01-14','2020-01-14'),
+('10', '5', '2019-04-19', UTC_DATE()),
+('10', '2', '2019-04-19', UTC_DATE()),
+('11', '1', '2018-01-14', UTC_DATE()),
+('12', '5', '2018-01-14', UTC_DATE()),
+('12', '6', '2018-01-14', UTC_DATE()),
+('13', '4', '2021-04-19',  UTC_DATE()),
+('13', '1', '2021-04-19',  UTC_DATE()),
+('14', '6','2018-01-14' ,UTC_DATE()),
+('15','4', '2021-04-19', UTC_DATE());
+
+INSERT INTO dept_manager (emp_no,	dept_no,	from_date,	to_date) values
+('4','1', '2020-01-14', UTC_DATE()),
+('5','3', '2020-03-20', UTC_DATE()),
+('8','4', '2022-01-17', UTC_DATE()),
+('10','2', '2019-04-19', UTC_DATE()),
+('12','6', '2018-01-14', UTC_DATE());
+
+INSERT INTO titles (emp_no,	title,	from_date,	to_date	) values
+('1','Finance', '2018-09-15', '2020-06-22'),
+('2',' Marketing and Commerce', '2018-09-15', '2020-06-22'),
+('3', 'Advertising and public relations', '2008-09-15', '2010-06-20'),
+('4', 'Advertising and public relations',  '2008-09-15', '2010-06-20'),
+('5', 'Trades and sales', '2018-09-15', '2020-06-22'),
+('6', ' Marketing and Commerce', '2012-09-12', '2015-06-20'),
+('7', 'Advertising and public relations', '2008-09-15', '2010-06-20'),
+('8', 'Trades and sales', '2018-09-15', '2020-06-22'),
+('9', ' Marketing and Commerce', '2012-09-12', '2015-06-20'),
+('10', ' Marketing and Commerce', '2012-09-12', '2015-06-20'),
+('11', ' Marketing and Commerce', '2012-09-12', '2015-06-20'),
+('12', 'Industrial logistics', '2012-09-12', '2015-06-20'),
+('13', 'Trades and sales', '2018-09-15', '2020-06-22'),
+('14', 'Industrial logistics', '2012-09-12', '2015-06-20'),
+('15','Commerce', '2010-09-08', '2013-06-22') ;

select.sql

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+
+--Select all employees with a salary greater than 20,000
+    SELECT employees.first_name, employees.last_name, salaries.salary
+    FROM employees
+    INNER JOIN salaries
+    ON employees.emp_no = salaries.emp_no
+    WHERE salaries.salary>20000;
+
+
+    --Select all employees with a salary below 10,000
+    SELECT employees.first_name, employees.last_name, salaries.salary
+    FROM employees
+    INNER JOIN salaries
+    ON employees.emp_no = salaries.emp_no
+    WHERE salaries.salary<10000;
+
+    --Select all employees who have a salary between 14000 and 50,000
+    SELECT employees.first_name, employees.last_name, salaries.salary
+    FROM employees
+    INNER JOIN salaries
+    ON employees.emp_no = salaries.emp_no
+    WHERE salaries.salary BETWEEN 14000 AND 50000;
+
+    --Select the total number of employees
+    SELECT COUNT(emp_no)
+    FROM employees;
+
+    --Select the total number of employees who have worked in more than one department
+    SELECT emp_no, COUNT(emp_no) FROM dept_emp GROUP BY emp_no HAVING COUNT(emp_no) >1;
+
+    --Select the titles of the year 2019
+    SELECT * FROM titles WHERE to_date LIKE '%2020%';
+
+    --Select only the name of the employees in capital letters
+    Select * From employees Where first_name = UPPER(first_name);
+
+    --Select the name, surname and name of the current department of each employee
+    SELECT employees.first_name, employees.last_name, departments.dept_name
+    FROM employees
+	LEFT JOIN dept_emp ON dept_emp.emp_no = employees.emp_no
+	LEFT JOIN departments ON dept_emp.dept_no = departments.dept_no
+    WHERE dept_emp.to_date = UTC_DATE() ;
+
+    --Select the name, surname and number of times the employee has worked as a manager
+    SELECT employees.first_name, employees.last_name, departments.dept_name
+    FROM employees
+	LEFT JOIN dept_manager ON dept_manager.emp_no = employees.emp_no
+	LEFT JOIN departments ON dept_manager.dept_no = departments.dept_no
+    WHERE dept_manager.to_date = UTC_DATE();
+
+    --Select the name of employees without any being repeated
+    SELECT MIN(emp_no), first_name
+    FROM employees
+    GROUP BY first_name;

updateData.sql

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+-- Update Employee name
+
+UPDATE employees
+SET first_name = 'Penelope'
+WHERE employees.emp_no = 9;
+
+--Update Department name
+UPDATE departments
+SET dept_name = 'Dep. Finance '
+WHERE departments.dept_no = '1';
+UPDATE departments
+SET dept_name = 'Dep. Human Resources'
+WHERE departments.dept_no = '2';
+UPDATE departments
+SET dept_name = 'Dep. Marketing'
+WHERE departments.dept_no = '3';
+UPDATE departments
+SET dept_name = 'Dep. Sales'
+WHERE departments.dept_no = '4';
+UPDATE departments
+SET dept_name = 'Dep. General Management'
+WHERE departments.dept_no = '5';
+UPDATE departments
+SET dept_name = 'Dep. Logistics'
+HERE departments.dept_no = '6';