Learn Database Normalization with the help of a case study
What is Normalization ? Why should we use it?
Normalization is a database design technique which organizes tables in a manner that reduces redundancy and dependency of data.
It divides larger tables to smaller tables and link them using relationships.
The inventor of the relational model Edgar Codd proposed the theory of normalization with the introduction of FirstNormal Form and he continued to extend theory with Second and Third Normal Form. Later he joined with Raymond F. Boyce to develop the theory of Boyce-Codd Normal Form.
Theory of Normalization is still being developed further. For example there are discussions even on 6th Normal Form. But in most practical applications normalization achieves its best in 3rd Normal Form. The evolution of Normalization theories is illustrated below-
Let's learn Normalization with practical example -
Assume a video library maintains a database of movies rented out. Without any normalization all information is stored in one table as shown below.
Here you see Movies Rented column has multiple values.
Now let's move in to 1st Normal Form
- Each table cell should contain single value.
- Each record needs to be unique.
The above table in 1NF-
Before we proceed lets understand a few things --
What is a KEY ?
A KEY is a value used to uniquely identify a record in a table. A KEY could be a single column or combination of multiple columns
Note: Columns in a table that are NOT used to uniquely identify a record are called non-key columns.
What is a primary Key?
A primary is a single column values used to uniquely identify a database record.
It has following attributes
What is a composite Key?
A composite key is a primary key composed of multiple columns used to identify a record uniquely
In our database , we have two people with the same name Robert Phil but they live at different places.
Hence we require both Full Name and Address to uniquely identify a record. This is a composite key.
Let's move into 2NF
- Rule 1- Be in 1NF
- Rule 2- Single Column Primary Key
It is clear that we can't move forward to make our simple database in 2nd Normalization form unless we partition the table above.
We have divided our 1NF table into two tables viz. Table 1 and Table2. Table 1 contains member information. Table 2 contains information on movies rented.
We have introduced a new column called Membership_id which is the primary key for table 1. Records can be uniquely identified in Table 1 using membership id
Introducing Foreign Key!
In Table 2, Membership_ID is the foreign Key
Foreign Key references primary key of another Table!It helps connect your Tables
Why do you need a foreign key ?
Suppose an idiot inserts a record in Table B such as
You will only be able to insert values into your foreign key that exist in the unique key in the parent table. This helps in referential integrity.
The above problem can be overcome by declaring membership id from Table2 as foreign key of membership id from Table1
Now , if somebody tries to insert a value in the membership id field that does not exist in the parent table , an error will be shown!
What is a transitive functional dependencies?
A transitive functional dependency is when changing a non-key column , might cause any of the other non-key columns to change
Consider the table 1. Changing the non-key column Full Name , may change Salutation.
Let's move ito 3NF
- Rule 1- Be in 2NF
- Rule 2- Has no transitive functional dependencies
To move our 2NF table into 3NF we again need to need divide our table.
We have again divided our tables and created a new table which stores Salutations.
There are no transitive functional dependencies and hence our table is in 3NF
In Table 3 Salutation ID is primary key and in Table 1 Salutation ID is foreign to primary key in Table 3
Now our little example is in a level that cannot further be decomposed to attain higher forms of normalization. In fact it is already in higher normalization forms. Separate efforts for moving in to next levels of normalization are normally needed in complex databases. However we will be discussing about next levels of normalizations in brief in the following.
Boyce-Codd Normal Form (BCNF)
Even when a database is in 3rd Normal Form, still there would be anomalies resulted if it has more than one Candidate Key.
Sometimes is BCNF is also referred as 3.5 Normal Form.
4th Normal Form
If no database table instance contains two or more, independent and multivalued data describing the relevant entity , then it is in 4th Normal Form.
5th Normal Form
A table is in 5th Normal Form only if it is in 4NF and it cannot be decomposed in to any number of smaller tables without loss of data.
6th Normal Form
6th Normal Form is not standardized yet however it is being discussed by database experts for some time. Hopefully we would have clear standardized definition for 6th Normal Form in near future.
That's all to Normalization!!!