You can start with downloading students.sql and uploading it into your public_html directory. Then you can execute MySQL command: source public_html/students.sql to create the following students table as well as students records.
mysql> describe students; +--------------------+--------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +--------------------+--------------+------+-----+---------+-------+ | student_ID | varchar(30) | NO | | NULL | | | first_Name | varchar(30) | NO | | NULL | | | middle_Name | varchar(30) | YES | | NULL | | | last_Name | varchar(30) | NO | | NULL | | | email | varchar(100) | NO | | NULL | | | course_Name | varchar(30) | NO | | NULL | | | course_Description | varchar(255) | NO | | NULL | | | marks | (double) real| NO | | NULL | | +--------------------+--------------+------+-----+---------+-------+
The table you created may contain errors or inconsistancy information due to various user inputs, you work is to practising SQL Update and Delete commands and fix these problems.
Basic syntax for update and delete commands are listed as follows:
Update command:
UPDATE table_name SET column1=value, column2=value2,... WHERE some_column=some_value;
Delete command:
DELETE FROM table_name WHERE some_column=some_value;
Decompose students table into several sub tables according to the following description:
A students basic information table, which contains five attributes, student ID, first, middle and last name, email address.
A course information table, which includes "course_Name" and "course_Description" which describes a course information.
A student may take several courses. Once we know the student ID number and the course name, we will know the marks they got. Therefore, we need the third table, the students marks table, which contains "student_ID", "course_Name" and "marks".
Following insert...into...select...where... command may help you to extract data from old students table and inert into your new tables.
insert into new_table (column_name_1,column_name2,...column_name_m) select distinct col_name_1, col_name_2,...col_name_m from old_table where condition(s);
The keyword distinct is optional and it helps to get non-duplicate database records.
There are two types of files that you need to submit