Super key is a set of one or more attribute which can uniquely identify a row in the relational schema while function dependecies can not identify the whole row but the can identify the attributes that are dependent.
For a relation schema R = {A, B, C, D, E} and functional
dependencies F = {CE
D, D
B, C
A} super key for this relational schema can be ACE by using ACE we
can uniquely identify a row but by using a functional dependecies
we can not uniquely identify a row.
Candidate key in the minimal super key or minimal set of attributes that can uniquely identify a row in the schema. Every candidate key is a super key but vice versa is not true.
Given relational schema and its functional dependencies:
R = {A, B, C, D, E, F, G, H, I, J, K, L, M}
F = {A
BCDE, E
FGH, I
J, AI
K, AL
M}
Check all the attributes that are not available on the right side of the functional dependencies. A, I, L are not present on the right side of the functional dependencies. Now find the Attribute Closure of A, I, L.
(A, I, L)+ = {A, I, L}
= {A, B, C, D, E, I, J, K, L, M} ( Using A
BCDE, I
J, AI
K, AL
M)
= {A, B, C, D, E, F, G, H, I, J, K, L, M} ( Using E
FGH)
As (A, I, L)+ give the set of all attribute of relation R. So it is an candidate/super key.
If you're still having any doubt then please feel free to ask in the comment section.
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Write the complete proof.
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Hi,
This is relational databases question
I'm struggling with this homework question. Trying to better
understand what's being asked. Could you please explain your
answer. Many thanks
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Language: SQL - Normalization and Functional
Dependencies
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