Direction: Answer question based on the problem statement given below:
Identify primary key of table R with functional dependency set F
A
In database design, identifying the primary key is crucial for ensuring data integrity and structure. A primary key uniquely identifies each record in a table. It is a special type of candidate key selected to uniquely identify all tuples in a relation.
A candidate key is a minimal superkey. A superkey is a set of one or more attributes that, taken together, allow us to uniquely identify a tuple in the relation. Minimal means that no proper subset of the superkey is also a superkey.
Functional dependencies describe the relationships between attributes. An FD X → Y means that the value of attribute set X uniquely determines the value of attribute set Y. In our case, the given functional dependencies are:
The universal relation is $R(A, B, C, D, E)$. We need to find a primary key from the given options.
To find a primary key, we can calculate the closure of attribute sets. The closure of an attribute set X, denoted as $X^+$, is the set of all attributes that are functionally dependent on X. If $X^+$ contains all attributes of the relation R, then X is a superkey. To be a primary key, X must also be minimal (no proper subset of X is a superkey).
Let's calculate the closure for the attributes/sets of attributes from the options and also check if any single attribute could be a superkey.
We want to find $A^+$.
So, $A^+ = \{A, B, C, D, E\}$. Since $A^+$ contains all attributes of R, {$A$} is a superkey.
Is {$A$} minimal? The only proper subset of {$A$} is the empty set {}. The closure of the empty set is always empty. So, {$A$} is minimal. Therefore, {$A$} is a primary key.
Since we found that A is a primary key, any option containing A along with other attributes (like AD, AB) cannot be a *minimal* superkey, and therefore cannot be a primary key.
Let's verify the other options:
We want to find $(BC)^+$.
So, $(BC)^+ = \{B, C, D, E\}$. This does not contain attribute $A$. Thus, {$BC$} is not a superkey, and therefore not a primary key.
We want to find $(AD)^+$.
So, $(AD)^+ = \{A, B, C, D, E\}$. {$AD$} is a superkey. However, we already found that $A$ alone is a superkey ($A^+ = \{A, B, C, D, E\}$). Since $A$ is a proper subset of $AD$, $AD$ is not a minimal superkey, and thus not a primary key.
We want to find $(AB)^+$.
So, $(AB)^+ = \{A, B, C, D, E\}$. {$AB$} is a superkey. However, we already found that $A$ alone is a superkey ($A^+ = \{A, B, C, D, E\}$). Since $A$ is a proper subset of $AB$, $AB$ is not a minimal superkey, and thus not a primary key.
Based on the closure calculations, only {$A$} is a minimal superkey that determines all attributes of the relation R. Therefore, the primary key is A.
| Attribute Set | Closure | Is it a Superkey? | Is it Minimal? | Is it a Primary Key? |
|---|---|---|---|---|
| A | $\{A, B, C, D, E\}$ | Yes | Yes | Yes |
| BC | $\{B, C, D, E\}$ | No | N/A | No |
| AD | $\{A, B, C, D, E\}$ | Yes | No (A is a superkey) | No |
| AB | $\{A, B, C, D, E\}$ | Yes | No (A is a superkey) | No |
Thus, the primary key of relation R is A.
| Concept | Definition | Purpose |
|---|---|---|
| Attribute | A column in a table representing a property of the entity. | Stores specific pieces of data (e.g., Name, Age). |
| Relation (Table) | A set of tuples (rows) describing an entity, with attributes (columns). | Organizes data logically. |
| Functional Dependency (X → Y) | X determines Y; if two tuples have the same value for X, they must have the same value for Y. | Defines constraints and relationships between attributes. |
| Superkey | A set of attributes that uniquely identifies every tuple in a relation. | Ensures uniqueness of records. |
| Candidate Key | A minimal superkey (no proper subset is a superkey). | Potential choices for the primary key. |
| Primary Key | A chosen candidate key used to uniquely identify tuples. | The main identifier for records in a table, used for relationships and indexing. |
In some cases, there might be multiple candidate keys. To find all candidate keys, one systematic approach involves:
An alternative method involves finding the 'essential' attributes - those attributes that do not appear on the right-hand side (RHS) of any functional dependency. These attributes must be part of *every* candidate key. In our FDs: {A → BC, D → E, BC → D, A → D}, the attributes on the RHS are B, C, D, E. The only attribute not on the RHS is A. This suggests A must be part of any candidate key. Since $A^+$ already covers all attributes, A is the only candidate key.
Let R (ABCDEFGH) be a relation schema and F be the set of dependencies F = {A → B, ABCD → E, EF → G, EF → H and ACDF →EG}. The minimal cover of a set of functional dependencies is
Minimal cover F’ of functional dependency set F is
Assume that given table R is decomposed in two tables
R 1(A, B, C) with functional dependency set f 1= {A → B, A → C} and R 2(A, D, E) with FD set F 2= {A → D, D → E}
Which of the following option is true w.r.t. given decomposition?Identify the redundant functional dependency in F
Identify the normal form in which relation R belong to