Consider a relational schema S = (U, V, W, X, Y, Z) on which the following functional dependencies hold: {U → V, VW → X, Y → W, X → U} Which are the candidate keys among following options?
UYZ, VYZ, XYZ
We are given a relational schema $\text{S} = (\text{U, V, W, X, Y, Z})$ and a set of functional dependencies (FDs): $\{\text{U} \rightarrow \text{V, VW} \rightarrow \text{X, Y} \rightarrow \text{W, X} \rightarrow \text{U}\}$. Our goal is to find the candidate keys for this schema based on these FDs.
A candidate key is a minimal superkey. A superkey is a set of attributes that uniquely identifies all other attributes in the relation. In terms of functional dependencies, a set of attributes K is a superkey if the closure of K, denoted as $\text{K}^{+}$, contains all attributes in the schema S. Minimality means that no proper subset of K is also a superkey.
Attributes that do not appear on the right-hand side (RHS) of any functional dependency must be part of every candidate key. Let's list the attributes on the RHS of the given FDs:
The attributes on the RHS are {U, V, W, X}. The attributes in the schema S are {U, V, W, X, Y, Z}. The attributes not on the RHS are {Y, Z}. Therefore, any candidate key must contain both Y and Z.
Since YZ must be in every candidate key, we start by considering sets that include YZ and adding other attributes from {U, V, X} (the attributes that can be determined from YZ and other FDs). Let's check sets formed by adding one attribute from {U, V, X} to YZ.
Thus, UYZ, VYZ, and XYZ are superkeys.
Now we need to check if these superkeys are minimal. We do this by calculating the closure of their proper subsets. If the closure of any proper subset contains all attributes, the original set is not minimal and thus not a candidate key.
Let's check the closure of other sets mentioned in the options to confirm they are not candidate keys (or even superkeys):
Based on our analysis, the candidate keys for the given relational schema and functional dependencies are {UYZ, VYZ, XYZ}.
Let's compare our findings with the provided options:
The candidate keys among the given options are UYZ, VYZ, and XYZ.
| Attribute Set | Closure | Superkey? | Minimal? | Candidate Key? |
|---|---|---|---|---|
| UYZ | $\{\text{U, V, W, X, Y, Z}\}$ | Yes | Yes | Yes |
| VYZ | $\{\text{U, V, W, X, Y, Z}\}$ | Yes | Yes | Yes |
| XYZ | $\{\text{U, V, W, X, Y, Z}\}$ | Yes | Yes | Yes |
| UY | $\{\text{U, V, W, X, Y}\}$ | No | N/A | No |
| VY | $\{\text{U, V, W, X, Y}\}$ | No | N/A | No |
| XY | $\{\text{U, V, W, X, Y}\}$ | No | N/A | No |
| VWZ | $\{\text{U, V, W, X, Z}\}$ | No | N/A | No |
| Concept | Description |
|---|---|
| Relational Schema | The design or structure of a relation (table), including the names and domains of attributes. |
| Functional Dependency (FD) | A constraint between two sets of attributes in a relation. $\text{X} \rightarrow \text{Y}$ means that the value of Y is uniquely determined by the value of X. |
| Attribute Closure | The set of all attributes that are functionally determined by a given set of attributes, based on the set of FDs. Denoted as $\text{X}^{+}$. |
| Superkey | A set of attributes K in a relation R such that K functionally determines all attributes in R. $\text{K}^{+} = \text{R}$. |
| Candidate Key | A minimal superkey. A superkey K is minimal if no proper subset of K is also a superkey. |
In database design, various types of keys play crucial roles in maintaining data integrity and establishing relationships between tables.
Understanding these different types of keys and how to find candidate keys using functional dependencies is fundamental for database design and normalization.
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
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.
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