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--- modul:m290:learningunits:lu07:aufgaben:01 [2024/09/30 14:53] – vdemir
+++ modul:m290:learningunits:lu07:aufgaben:01 [2024/10/17 12:45] (aktuell) – vdemir
@@ Zeile 1: / Zeile 1: @@
-====== LU07.A01 - Preparations for the assignment of the DML commands ======
+====== LU08.A01 - Preparatory work ======
 ===== Requirements  =====
@@ Zeile 6: / Zeile 6: @@
   * Means of aid:
       * Only teaching materials, no websearch, no use of ai.
-  * Establishment of a MySQL **table employees** and import of the provided inital data in order to perform the requirements of the task: 2: INSERT, 3: UPDATE, 4: DELETE
+  * Expected result:
+    * Conduct the database schema (instance) as foundation for our employee's data.
+    * Establishment of a MySQL **table employees** including all relevant attributes.
-===== Preparation Assignments =====
+===== Assignments =====
 ==== A: DATA SCHEMA ====
@@ Zeile 16: / Zeile 18: @@
   SHOW DATABASES;
   USE hr_database;
-After executing the three SQL commands above, the feedback from your database would look like in the image below:
-{{:modul:m290:learningunits:lu07:aufgaben:m290.lu07.s01a.png?600|}}
 ==== B: CREATE TABLE ====
 To exercise the DML commands, we need a suitable table including a reasonable amout of data. The following SQL statement will create a table **employee** regarding all necessary attributes of an "average employee".
   CREATE TABLE EMPLOYEES (
@@ Zeile 45: / Zeile 42: @@
   - **salary** is stored as a 'DECIMAL' value to account for financial precision.
   - **department** is a VARCHAR(50) field that stores the name of the department the employee is associated with. It has a NOT NULL constraint to ensure that every employee is assigned to a department.
-==== C1: Inital data import ====
-Once we have created our 'employees' table, we need a reasonable amount of data to be able to make the assignments. The following SQL INSERTS will provide you with the inital data of 30 employees. Though execute the follwing INSERT statements on your MySQL.
-As we already know there are two ways how to import the inital data cosisting of 30 rows of emloyee data:
-  * multiple inserts
-  * single insert
-**Multiple inserts**
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (1, 'John', 'Doe', '1985-03-25', 'M', 'He/Him', '2015-01-15', 55000.00, 'Finance');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (2, 'Jane', 'Smith', '1990-07-19', 'F', 'She/Her', '2017-06-10', 60000.00, 'HR');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (3, 'Mike', 'Brown', '1982-11-02', 'M', 'He/Him', '2012-03-05', 75000.00, 'IT');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (4, 'Sarah', 'Johnson', '1970-01-14', 'F', 'She/Her', '2020-08-22', 50000.00, 'Marketing');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (5, 'Chris', 'Williams', '1987-04-11', 'M', 'He/Him', '2016-09-30', 65000.00, 'Finance');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (6, 'Anna', 'Lee', '1993-12-01', 'F', 'She/Her', '2018-04-12', 72000.00, 'IT');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (7, 'David', 'Kim', '1989-10-22', 'M', 'He/Him', '2014-11-08', 69000.00, 'Marketing');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (8, 'Laura', 'Clark', '1986-02-17', 'F', 'She/Her', '2013-05-01', 56000.00, 'HR');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (9, 'Jake', 'Lewis', '1962-09-05', 'M', 'He/Him', '2019-12-20', 59000.00, 'Finance');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (10, 'Emily', 'Martinez', '1996-06-13', 'F', 'She/Her', '2021-01-05', 61000.00, 'IT');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (11, 'Ryan', 'Turner', '1991-05-21', 'M', 'He/Him', '2017-07-19', 70000.00, 'Marketing');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (12, 'Sophia', 'Adams', '1988-12-06', 'F', 'She/Her', '2014-02-11', 62000.00, 'HR');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (13, 'Nathan', 'Garcia', '1994-03-29', 'M', 'He/Him', '2018-09-15', 66000.00, 'Finance');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (14, 'Olivia', 'Baker', '1983-08-11', 'F', 'She/Her', '2011-10-25', 78000.00, 'IT');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (15, 'Liam', 'Scott', '1958-12-18', 'M', 'He/Him', '2020-06-13', 53000.00, 'Marketing');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (16, 'Isabella', 'Carter', '1990-01-02', 'F', 'She/Her', '2016-03-30', 67000.00, 'HR');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (17, 'James', 'Rodriguez', '1984-05-14', 'M', 'He/Him', '2013-07-22', 72000.00, 'Finance');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (18, 'Mia', 'Lopez', '1998-09-27', 'F', 'She/Her', '2021-03-11', 51000.00, 'IT');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (19, 'Ethan', 'Harris', '1970-04-07', 'M', 'He/Him', '2019-10-05', 64000.00, 'Marketing');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (20, 'Charlotte', 'Moore', '1986-11-03', 'F', 'She/Her', '2014-12-30', 59000.00, 'HR');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (21, 'Lucas', 'Jackson', '1989-02-28', 'M', 'He/Him', '2015-08-18', 74000.00, 'Finance');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (22, 'Amelia', 'Young', '1991-06-23', 'F', 'She/Her', '2016-11-02', 62000.00, 'IT');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (23, 'Henry', 'King', '1993-10-08', 'M', 'He/Him', '2018-05-07', 67000.00, 'Marketing');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (24, 'Grace', 'Wright', '1987-03-19', 'F', 'She/Her', '2012-04-14', 71000.00, 'HR');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (25, 'Jack', 'White', '1962-08-15', 'M', 'He/Him', '2019-01-23', 69000.00, 'Finance');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (26, 'Chloe', 'Martin', '1996-12-31', 'F', 'She/Her', '2021-07-05', 54000.00, 'IT');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (27, 'Daniel', 'Green', '1985-09-25', 'M', 'He/Him', '2013-02-13', 76000.00, 'Marketing');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (28, 'Ella', 'Hall', '1994-04-30', 'F', 'She/Her', '2017-09-26', 63000.00, 'HR');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (29, 'Oliver', 'Nelson', '1993-07-21', 'M', 'He/Him', '2018-11-19', 64000.00, 'Finance');
-  INSERT INTO EMPLOYEES (employee_id, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES (30, 'Ava', 'Walker', '1958-02-11', 'F', 'She/Her', '2021-05-30', 52000.00, 'Marketing');
-**Single insert**
-  INSERT INTO EMPLOYEES (employee_ID, name, surname, birthdate, sex, pronomen, employment_date, salary, department)
-  VALUES
-    (1, 'John', 'Doe', '1985-03-25', 'M', 'He/Him', '2015-01-15', 55000.00, 'Finance'),
-    (2, 'Jane', 'Smith', '1990-07-19', 'F', 'She/Her', '2017-06-10', 60000.00, 'HR'),
-    (3, 'Mike', 'Brown', '1982-11-02', 'M', 'He/Him', '2012-03-05', 75000.00, 'IT'),
-    (4, 'Sarah', 'Johnson', '1970-01-14', 'F', 'She/Her', '2020-08-22', 50000.00, 'Marketing'),
-    (5, 'Chris', 'Williams', '1987-04-11', 'M', 'He/Him', '2016-09-30', 65000.00, 'Finance'),
-    (6, 'Anna', 'Lee', '1993-12-01', 'F', 'She/Her', '2018-04-12', 72000.00, 'IT'),
-    (7, 'David', 'Kim', '1989-10-22', 'M', 'He/Him', '2014-11-08', 69000.00, 'Marketing'),
-    (8, 'Laura', 'Clark', '1986-02-17', 'F', 'She/Her', '2013-05-01', 56000.00, 'HR'),
-    (9, 'Jake', 'Lewis', '1962-09-05', 'M', 'He/Him', '2019-12-20', 59000.00, 'Finance'),
-    (10, 'Emily', 'Martinez', '1996-06-13', 'F', 'She/Her', '2021-01-05', 61000.00, 'IT'),
-    (11, 'Ryan', 'Turner', '1991-05-21', 'M', 'He/Him', '2017-07-19', 70000.00, 'Marketing'),
-    (12, 'Sophia', 'Adams', '1988-12-06', 'F', 'She/Her', '2014-02-11', 62000.00, 'HR'),
-    (13, 'Nathan', 'Garcia', '1994-03-29', 'M', 'He/Him', '2018-09-15', 66000.00, 'Finance'),
-    (14, 'Olivia', 'Baker', '1983-08-11', 'F', 'She/Her', '2011-10-25', 78000.00, 'IT'),
-    (15, 'Liam', 'Scott', '1958-12-18', 'M', 'He/Him', '2020-06-13', 53000.00, 'Marketing'),
-    (16, 'Isabella', 'Carter', '1990-01-02', 'F', 'She/Her', '2016-03-30', 67000.00, 'HR'),
-    (17, 'James', 'Rodriguez', '1984-05-14', 'M', 'He/Him', '2013-07-22', 72000.00, 'Finance'),
-    (18, 'Mia', 'Lopez', '1998-09-27', 'F', 'She/Her', '2021-03-11', 51000.00, 'IT'),
-    (19, 'Ethan', 'Harris', '1970-04-07', 'M', 'He/Him', '2019-10-05', 64000.00, 'Marketing'),
-    (20, 'Charlotte', 'Moore', '1986-11-03', 'F', 'She/Her', '2014-12-30', 59000.00, 'HR'),
-    (21, 'Lucas', 'Jackson', '1989-02-28', 'M', 'He/Him', '2015-08-18', 74000.00, 'Finance'),
-    (22, 'Amelia', 'Young', '1991-06-23', 'F', 'She/Her', '2016-11-02', 62000.00, 'IT'),
-    (23, 'Henry', 'King', '1993-10-08', 'M', 'He/Him', '2018-05-07', 67000.00, 'Marketing'),
-    (24, 'Grace', 'Wright', '1987-03-19', 'F', 'She/Her', '2012-04-14', 71000.00, 'HR'),
-    (25, 'Jack', 'White', '1962-08-15', 'M', 'He/Him', '2019-01-23', 69000.00, 'Finance'),
-    (26, 'Chloe', 'Martin', '1996-12-31', 'F', 'She/Her', '2021-07-05', 54000.00, 'IT'),
-    (27, 'Daniel', 'Green', '1985-09-25', 'M', 'He/Him', '2013-02-13', 76000.00, 'Marketing'),
-    (28, 'Ella', 'Hall', '1994-04-30', 'F', 'She/Her', '2017-09-26', 63000.00, 'HR'),
-    (29, 'Oliver', 'Nelson', '1993-07-21', 'M', 'He/Him', '2018-11-19', 64000.00, 'Finance'),
-    (30, 'Ava', 'Walker', '1958-02-11', 'F', 'She/Her', '2021-05-30', 52000.00, 'Marketing');
 ===== Solution =====
 [[modul:m290:learningunits:lu07:loesungen:l01|Lösung]]
 ===== Vocabulary =====
 ^ English ^ German ^
-| obsolete | überflüssig |
+| preparatary work | Vorarbeit |
-| credential | Berechtigungsnachweis |
 ----
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