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Question

A many-to-one relationship exists between entity sets r 1and r 2. How will it be represented using functional dependencies if Pk(r) denotes the primary key attribute of relation r?

The correct answer is

Pk(r 1) → Pk(r 2)

Representing Many-to-One Relationships with Functional Dependencies

In database design, understanding relationship types between entity sets is crucial. A many-to-one relationship between two entity sets, say r1 and r2, implies that multiple instances of entity r1 can be associated with a single instance of entity r2, but an instance of r2 can be associated with zero or more instances of r1. The relationship direction matters. If it's "many-to-one from r1 to r2", it means many r1's relate to one r2.

Functional dependencies are a way to describe constraints on data in a relational database. A functional dependency X → Y means that if two tuples have the same values for the attributes in set X, they must also have the same values for the attributes in set Y. Essentially, X uniquely determines Y.

We are given entity sets r1 and r2, with primary keys Pk(r1) and Pk(r2) respectively. We need to represent a many-to-one relationship that exists from r1 to r2 using functional dependencies involving their primary keys.

Consider the relationship: "Many instances of r1 relate to one instance of r2". This means if you take any specific instance of r1, it is related to exactly one instance of r2. Therefore, knowing the primary key of an r1 instance (Pk(r1)) should uniquely identify the primary key of the related r2 instance (Pk(r2)). This directly translates to a functional dependency:

\begin{equation*} \text{Pk(r_1)} \rightarrow \text{Pk(r_2)} \end{equation*}

Let's look at why the other options do not correctly represent a many-to-one relationship from r1 to r2:

  • \(\text{Pk(r_2)} \rightarrow \text{Pk(r_1)}\)

    This would mean that knowing the primary key of an r2 instance uniquely identifies the primary key of a related r1 instance. This describes a one-to-many relationship from r2 to r1 (or equivalently, a many-to-one from r1 to r2 *only if* every r2 instance is related to exactly one r1 instance, which is a special case or a one-to-one). However, in a general many-to-one from r1 to r2, an r2 instance can be related to *many* r1 instances, so Pk(r2) does not determine Pk(r1).
  • \(\text{Pk(r_2)} \rightarrow \text{Pk(r_1)} \text{ and } \text{Pk(r_1)} \rightarrow \text{Pk(r_2)}\)

    This combination of dependencies means that Pk(r1) uniquely determines Pk(r2), and Pk(r2) uniquely determines Pk(r1). This is the definition of a one-to-one relationship between the two entity sets.
  • \(\text{Pk(r_2)} \rightarrow \text{Pk(r_1)} \text{ or } \text{Pk(r_1)} \rightarrow \text{Pk(r_2)}\)

    This represents either a one-to-many from r2 to r1 or a many-to-one from r1 to r2 (or a one-to-one if both hold). It is not a precise representation *specifically* for the many-to-one relationship from r1 to r2 without the possibility of the other case holding exclusively.

Therefore, the functional dependency that represents a many-to-one relationship from r1 to r2, where many r1 instances relate to one r2 instance, is Pk(r1) → Pk(r2).

Relationship Types and Functional Dependencies (PKs)
Relationship Type Functional Dependency(ies) (from r1 to r2)
One-to-One Pk(r1) → Pk(r2) AND Pk(r2) → Pk(r1)
One-to-Many Pk(r2) → Pk(r1)
Many-to-One Pk(r1) → Pk(r2)
Many-to-Many Neither Pk(r1) → Pk(r2) nor Pk(r2) → Pk(r1) holds based solely on PKs; requires a linking table with a composite key

Revision Table: Key Concepts

Concept Description
Entity Set A collection of entities of the same type. Represents a table in a relational database.
Primary Key (Pk) An attribute or set of attributes that uniquely identifies each tuple (row) in a relation (table).
Relationship Type Defines the number of instances of one entity that can be associated with the number of instances of another entity (e.g., one-to-one, one-to-many, many-to-many).
Functional Dependency (X → Y) A constraint where the value of attribute(s) X uniquely determines the value of attribute(s) Y.

Additional Information: Representing Relationships in Relational Model

When translating an Entity-Relationship (ER) model into a relational database schema, different relationship types are represented using primary and foreign keys.

  • One-to-Many Relationship (e.g., Department 1 : * Employee): The primary key of the "one" side (Department ID) is included as a foreign key in the table on the "many" side (Employee table). This foreign key in the Employee table would functionally determine the Department ID, aligning with Pk(Many) → Pk(One).
  • Many-to-One Relationship (e.g., Employee * : 1 Department): This is the same as the one-to-many relationship described above, just viewed from the other direction. The primary key of the "one" side (Department ID) is included as a foreign key in the table on the "many" side (Employee table). The functional dependency is Pk(Many) → Pk(One), which in the context of the question is Pk(r1) → Pk(r2), where r1 is the 'many' side (Employee) and r2 is the 'one' side (Department).
  • One-to-One Relationship (e.g., Employee 1 : 1 Parking Spot): The primary key of one table can be included as a foreign key in the other table. If both tables are mandatory participation, sometimes they are merged. The functional dependencies Pk(Table1) → Pk(Table2) and Pk(Table2) → Pk(Table1) both hold.
  • Many-to-Many Relationship (e.g., Student * : * Course): A new linking table is created. This linking table contains the primary keys of both original tables as foreign keys. The primary key of the linking table is typically a composite key formed by these two foreign keys. No functional dependency exists between the primary keys of the original two tables alone (Pk(r1) does not determine Pk(r2), and Pk(r2) does not determine Pk(r1)).

Understanding how relationship cardinality translates to functional dependencies between primary keys is fundamental for correct database design and normalization.

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Important Questions from Functional Dependency - Teaching

  1. 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

  2. In a database, a rule is defined as (P1 and P2) or P3? R1 (0.8) and R2 (0.3), where P1, P2, P3 are premises and R1. R2 are conclusions of rules with certainty factors (CF) 0.8 and 0.3 respectively. If any running program has produced P1, P2, P3 with CF as 0.5, 0.8. 0.2 respectively, find the CF of results on the basis of premises.

  3. Minimal cover F’ of functional dependency set F is

  4. 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?
  5. Identify the redundant functional dependency in F

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