sesión 3

.ipynb_checkpoints/B.1. Base de datos Employees-checkpoint.md

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+# Base de datos Employees
+
+Alan Badillo Salas ([email protected])
+
+Descar de: https://github.com/datacharmer/test_db
+
+> Importar la base de datos `employees`
+
+``` shell
+> mysql -u root -p employees < employees.sql
+```
+
+``` sql
+mysql> show databases;
++--------------------+
+| Database           |
++--------------------+
+| almacen            |
+| employees          |
+| information_schema |
+| mysql              |
+| performance_schema |
+| sakila             |
+| sys                |
+| test               |
++--------------------+
+21 rows in set (0.00 sec)
+
+mysql> use employees;
+Database changed
+
+mysql> show tables;
++----------------------+
+| Tables_in_employees  |
++----------------------+
+| current_dept_emp     |
+| departments          |
+| dept_emp             |
+| dept_emp_latest_date |
+| dept_manager         |
+| employees            |
+| salaries             |
+| titles               |
++----------------------+
+8 rows in set (0.00 sec)
+
+mysql> describe employees;
++------------+---------------+------+-----+---------+-------+
+| Field      | Type          | Null | Key | Default | Extra |
++------------+---------------+------+-----+---------+-------+
+| emp_no     | int(11)       | NO   | PRI | NULL    |       |
+| birth_date | date          | NO   |     | NULL    |       |
+| first_name | varchar(14)   | NO   |     | NULL    |       |
+| last_name  | varchar(16)   | NO   |     | NULL    |       |
+| gender     | enum('M','F') | NO   |     | NULL    |       |
+| hire_date  | date          | NO   |     | NULL    |       |
++------------+---------------+------+-----+---------+-------+
+6 rows in set (0.01 sec)
+
+mysql> describe departments;
++-----------+-------------+------+-----+---------+-------+
+| Field     | Type        | Null | Key | Default | Extra |
++-----------+-------------+------+-----+---------+-------+
+| dept_no   | char(4)     | NO   | PRI | NULL    |       |
+| dept_name | varchar(40) | NO   | UNI | NULL    |       |
++-----------+-------------+------+-----+---------+-------+
+2 rows in set (0.00 sec)
+
+mysql> select emp_no, first_name, last_name from employees limit 10;
++--------+------------+-----------+
+| emp_no | first_name | last_name |
++--------+------------+-----------+
+|  10001 | Georgi     | Facello   |
+|  10002 | Bezalel    | Simmel    |
+|  10003 | Parto      | Bamford   |
+|  10004 | Chirstian  | Koblick   |
+|  10005 | Kyoichi    | Maliniak  |
+|  10006 | Anneke     | Preusig   |
+|  10007 | Tzvetan    | Zielinski |
+|  10008 | Saniya     | Kalloufi  |
+|  10009 | Sumant     | Peac      |
+|  10010 | Duangkaew  | Piveteau  |
++--------+------------+-----------+
+10 rows in set (0.00 sec)
+
+mysql> select emp_no, first_name, last_name from employees limit 3, 10;
++--------+------------+-----------+
+| emp_no | first_name | last_name |
++--------+------------+-----------+
+|  10004 | Chirstian  | Koblick   |
+|  10005 | Kyoichi    | Maliniak  |
+|  10006 | Anneke     | Preusig   |
+|  10007 | Tzvetan    | Zielinski |
+|  10008 | Saniya     | Kalloufi  |
+|  10009 | Sumant     | Peac      |
+|  10010 | Duangkaew  | Piveteau  |
+|  10011 | Mary       | Sluis     |
+|  10012 | Patricio   | Bridgland |
+|  10013 | Eberhardt  | Terkki    |
++--------+------------+-----------+
+10 rows in set (0.00 sec)
+```
+
+## TAREA 1
+
+Para la tabla `salaries` de `employees` encontrar los siguientes datos para el empleado 10068:
+
+* Máximo salario alcanzado
+* Mínimo salario percibido
+* Salario promedio
+
+Para la tabla `salaries` de `employees` encontrar los siguientes datos para el empleado 10119:
+
+* Máximo salario alcanzado
+* Mínimo salario percibido
+* Salario promedio
+
+Para la tabla `salaries` de `employees` encontrar los siguientes datos para el empleado 10548:
+
+* Máximo salario alcanzado
+* Mínimo salario percibido
+* Salario promedio
+
+## TAREA 2
+
+Para la tabla `employees` de `employees` mostrar los registros del número 70 al 92 que sean hombres (género `M`);
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