# DBMS | Number of possible Superkeys

Prerequisite – Relational Model Introduction and Codd Rules

Any subset of attributes of a table that can uniquely identify all the tuples of that table is known as a **Super key**. Its different from the primary and candidate keys in the sense that only the minimal superkeys are the candidate/primary keys.

This means that from a super key when we **remove** all the attributes that are **unnecessary** for its uniqueness, only then it **becomes a primary/candidate** key. So, in essence, all primary/candidate keys are super keys but not all superkeys are primary/candidate keys. By the formal definition of a Relation(Table), we know that the tuples of a relation are all unique. So the set of all attributes itself is a super key.

Counting the possible number of superkeys for a table is a common question for **GATE**. The examples below will demonstrate all possible types of questions on this topic.

**Example-1 :**Let a Relation R have attributes {a1,a2,a3} & a1 is the candidate key. Then how many super keys are possible?Here, any superset of a1 is the super key.

Super keys are = {a1, a1 a2, a1 a3, a1 a2 a3}

Thus we see that 4 Super keys are possible in this case.

In general, if we have ‘N’ attributes with one candidate key then the number of possible superkeys are 2

^{(N – 1)}.**Example-2 :**Let a Relation R have attributes {a1, a2, a3,…,an}. Find Super key of R.

Maximum Super keys = 2^{n}– 1.

If each attribute of relation is candidate key.**Example-3 :**Let a Relation R have attributes {a1, a2, a3,…,an} and the candidate key is “a1 a2 a3” then the possible number of super keys?Following the previous formula, we have 3 attributes instead of one. So, here the number of possible superkeys are 2

^{(N-3)}.**Example-4 :**Let a Relation R have attributes {a1, a2, a3,…,an} and the candidate keys are “a1”, “a2” then the possible number of super keys?This problem now is slightly different since we now have two different candidate keys instead of only one. Tackling problems like these is shown in the diagram below:

→ |A1 ∪ A2| = |A1| + |A2| – |A ∩ A2|

= (superkeys possible with candidate key A1) + (superkeys possible with candidate key A2)

– (common superkeys from both A1 and A2)= 2

^{(n-1)}+ 2^{(n-1)}– 2^{(n-2)}**Example-5 :**Let a Relation R have attributes {a1, a2, a3,…,an} and the candidate keys are “a1”, “a2 a3” then the possible number of super keys?Super keys of(a1) + Super keys of(a2 a3) – Super keys of(a1 a2 a3)

⇒ 2^{(n – 1)}+ 2^{(n – 2)}– 2^{(n – 3)}**Example-6 :**Let a Relation R have attributes {a1, a2, a3,…,an} and the candidate keys are “a1 a2”, “a3 a4” then the possible number of super keys?Super keys of(a1 a2) + Super keys of(a3 a4) – Super keys of(a1 a2 a3 a4)

⇒ 2^{(n – 2)}+ 2^{(n – 2)}– 2^{(n – 4)}**Example-7 :**Let a Relation R have attributes {a1, a2, a3,…,an} and the candidate keys are “a1 a2”, “a1 a3” then the possible number of super keys?Super keys of(a1 a2) + Super keys of(a1 a3) – Super keys of(a1 a2 a3)

⇒ 2^{(n – 2)}+ 2^{(n – 2)}– 2^{(n – 3)}**Example-8 :**Let a Relation R have attributes {a1, a2, a3,…,an} and the candidate keys are “a1”, “a2”, “a3” then the possible number of super keys?In this question, we have 3 different candidate keys. Tackling problems like these are shown in the diagram below.

→ |A1 ∪ A2 ∪ A3| = |A1| + |A2| + |A3| – |A1 ∩ A2| – |A1 ∩ A3| – |A2 ∩ A3| + |A1 ∩ A2 ∩ A3|

= (superkeys possible with candidate key A1) + (superkeys possible with candidate key A2) + (superkeys possible with candidate key A3) – (common superkeys from both A1 and A2) – (common superkeys from both A1 and A3) – (common superkeys from both A2 and A3) + (common superkeys from both A1, A2 and A3)

= 2

^{(n-1)}+ 2^{(n-1)}+ 2^{(n-1)}– 2^{(n-2)}– 2^{(n-2)}– 2^{(n-2)}+ 2^{(n-3)}-
**Example-9 :**A relation R(A, B, C, D, E, F, G, H)and set of functional dependencies are

CH → G,

A → BC,

B → CFH,

E → A,

F → EG

Then how many possible super keys are present ?**Step 1:-**First of all, we have to find what the candidate keys are:-

as we can see in given functional dependency D is missing but in relation, D is given so D must be a prime attribute of the Candidate key.A

^{+}= E^{+}= B^{+}= F^{+}= all attributes of a relation except D

So, Ck’s are = AD, BD, ED, FD**Step 2:-**Find superkeys due to single candidate key

there is a two possibility of attribute either we select or not hence there will be 2 chances so,

A_ _D_ _ _ _ = _ B_ D_ _ _ _ = _ _ _ DE _ _ _ = _ _ _ D_F_ _ = 2^{6}**Step 3:-**Find superkeys due to combination of two CK’s

so,

n(AD ∩ BD) = n(AD ∩ ED) = n(AD ∩ FD) = n(BD ∩ ED) = n(BD ∩ FD) = n(ED ∩ FD) = 2^{5}**Step 4:-**Find supekeys due to combination of three CK’s

so,

n(AD ∩ BD ∩ ED) = n(AD ∩ ED ∩ FD) = n(ED ∩ BD ∩ FD) = n(BD ∩ FD ∩ AD) = 2^{4}**Step 5:-**Find superkeys due to all so,

n(AD ∩ BD ∩ ED ∩ FD) = AB_DEF_ _ = 2^{3}so according to inclusion- exclusion principle :-

|W ∪ X ∪ Y ∪ Z| = |W| + |X| + |Y| + |Z| – |W ∩ X| – |W ∩ Y| – |W ∩ Z| – |X ∩Y| – |X ∩ Z| – |Y ∩ Z| + |W ∩ X ∩ Y| + |W ∩ X ∩ Z| + |W ∩ Y ? Z| + |X ∩ Y ∩ Z| – |W ∩ X ∩ Y ∩ Z|#Supekeys = 4 * 2

^{6}– 6 * 2^{5}+ 4 * 2^{4}– 2^{3}= 120So the number of superkeys are 120. This explanation is contributed by YaduvanshiRishi.

## Recommended Posts:

- DBMS | Advantages of DBMS over File system
- Need for DBMS
- Starvation in DBMS
- Disadvantages of DBMS
- Deadlock in DBMS
- DBMS | Interfaces
- DBMS | Data Marts
- DBMS | File Organization - Set 3
- DBMS | Recursive Relationships
- Implementation of Locking in DBMS
- DBMS | OLAP Operations
- Difference between RDBMS and DBMS
- Use of DBMS in System Software
- DBMS | Data Replication
- DBMS | File Organization - Set 1

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.