# Second Normal Form (2NF)

First Normal Form (1NF) does not eliminate redundancy, but rather, it’s that it eliminates repeating groups.

Instead of having multiple columns of the same kind of data in a record, (0NF or Unnormalized form) you remove the repeated information into a separate relation and represent them as rows. This is what constitutes 1NF.

**Second Normal Form (2NF):**

Second Normal Form (2NF) is based on the concept of full functional dependency. Second Normal Form applies to relations with composite keys, that is, relations with a primary key composed of two or more attributes. A relation with a single-attribute primary key is automatically in at least 2NF. A relation that is not in 2NF may suffer from the update anomalies.

To be in second normal form, a relation must be in first normal form and relation must not contain any partial dependency. A relation is in 2NF if it has No Partial Dependency, i.e., no non-prime attribute (attributes which are not part of any candidate key) is dependent on any proper subset of any candidate key of the table.

In other words,

A relation that is in First Normal Form and every non-primary-key attribute is fully functionally dependent on the primary key, then relation is in Second Normal Form (2NF).

**Note –** If the proper subset of candidate key determines non-prime attribute, it is called partial dependency.

The normalization of 1NF relations to 2NF involves the **removal of partial dependencies**. If a partial dependency exists, we remove the partially dependent attribute(s) from the relation by placing them in a new relation along with a copy of their determinant.

Consider the examples given below.

**Example-1:**

Consider table as following below.

STUD_NO COURSE_NO COURSE_FEE 1 C1 1000 2 C2 1500 1 C4 2000 4 C3 1000 4 C1 1000 2 C5 2000

{Note that, there are many courses having the same course fee. }

Here,

COURSE_FEE cannot alone decide the value of COURSE_NO or STUD_NO;

COURSE_FEE together with STUD_NO cannot decide the value of COURSE_NO;

COURSE_FEE together with COURSE_NO cannot decide the value of STUD_NO;

Hence,

COURSE_FEE would be a non-prime attribute, as it does not belong to the one only candidate key {STUD_NO, COURSE_NO} ;

But, COURSE_NO -> COURSE_FEE, i.e., COURSE_FEE is dependent on COURSE_NO, which is a proper subset of the candidate key. Non-prime attribute COURSE_FEE is dependent on a proper subset of the candidate key, which is a partial dependency and so this relation is not in 2NF.

To convert the above relation to 2NF,

we need to split the table into two tables such as :

Table 1: STUD_NO, COURSE_NO

Table 2: COURSE_NO, COURSE_FEE

Table 1Table 2STUD_NO COURSE_NO COURSE_NO COURSE_FEE 1 C1 C1 1000 2 C2 C2 1500 1 C4 C3 1000 4 C3 C4 2000 4 C1 C5 2000

2 C5

**Note –** 2NF tries to reduce the redundant data getting stored in memory. For instance, if there are 100 students taking C1 course, we dont need to store its Fee as 1000 for all the 100 records, instead once we can store it in the second table as the course fee for C1 is 1000.

**Example-2:**

Consider following functional dependencies in relation R (A, B, C, D )

AB -> C [A and B together determine C] BC -> D [B and C together determine D]

In the above relation, AB is the only candidate key and there is no partial dependency, i.e., any proper subset of AB doesn’t determine any non-prime attribute.

## Recommended Posts:

- First Normal Form (1NF)
- Third Normal Form (3NF)
- Domain Key Normal Form in DBMS
- Introduction of 4th and 5th Normal form in DBMS
- How to find the highest normal form of a relation
- Minimum relations satisfying First Normal Form (1NF)
- Boyce-Codd Normal Form (BCNF)
- Converting Context Free Grammar to Greibach Normal Form
- Converting Context Free Grammar to Chomsky Normal Form
- Normal Forms in DBMS
- Mathematics | Probability Distributions Set 3 (Normal Distribution)
- Digital logic | Canonical and Standard Form
- Parsing ambiguos grammars using LR parser
- Advanced SQL Interview Questions

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