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Question

Consider a relational database schema with two relations $R(P, Q)$ and $S(X, Y)$.
Let $E = \{\langle u \rangle \mid \exists v\ \exists w\ \langle u, v \rangle \in R\ \land\ \langle v, w \rangle \in S\}$ be a tuple relational calculus expression.
Which one of the following relational algebraic expressions is equivalent to $E$ ?

The correct answer is
$\Pi_P (S \bowtie_{S.X = R.Q} R)$

Tuple Relational Calculus Analysis

The given tuple relational calculus (TRC) expression is:

$E = \{\langle u \rangle \mid \exists v\ \exists w\ \langle u, v \rangle \in R\ \land\ \langle v, w \rangle \in S\}$

With relations $R(P, Q)$ and $S(X, Y)$.

  • The condition $\langle u, v \rangle \in R$ means that $u$ corresponds to attribute $P$ and $v$ corresponds to attribute $Q$ in relation $R$. Thus, $u = R.P$ and $v = R.Q$.
  • The condition $\langle v, w \rangle \in S$ means that $v$ corresponds to attribute $X$ and $w$ corresponds to attribute $Y$ in relation $S$. Thus, $v = S.X$ and $w = S.Y$.
  • The existential quantifiers ($\exists v, \exists w$) indicate that we need to find matching tuples from $R$ and $S$, implying a join operation.
  • The common variable $v$ links the two relations. From $R$, $v = R.Q$. From $S$, $v = S.X$. This establishes the join condition: $R.Q = S.X$.
  • The expression $E$ selects $\langle u \rangle$, where $u$ is derived from $R.P$. Therefore, a projection on attribute $P$ is required from the result of the join.

Relational Algebra Equivalence

Combining the join condition ($R.Q = S.X$) and the projection on $P$, the equivalent relational algebra expression is:

$\Pi_{P} (R \bowtie_{R.Q = S.X} S)$

Join and Projection Match

Comparing this derived expression with the provided options:

  • Option 1: $\Pi_P (R \bowtie_{R.P = S.X} S)$ - The join condition $R.P = S.X$ is incorrect.
  • Option 2: $\Pi_P (S \bowtie_{S.X = R.Q} R)$ - The join condition $S.X = R.Q$ is equivalent to $R.Q = S.X$. The projection is on $P$. This expression matches the derived equivalent.
  • Option 3: $\Pi_P (R \bowtie_{R.P = S.Y} S)$ - The join condition $R.P = S.Y$ is incorrect.
  • Option 4: $\Pi_P (S \bowtie_{S.Y = R.Q} R)$ - The join condition $S.Y = R.Q$ is incorrect.

Option 2 correctly represents the equivalent relational algebraic expression.

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Important Questions from Relational Algebra

  1. Which of the following statements is/are correct regarding the Finance Commission of India?

    A. The Finance Commission consist of a Chairman and four other members.

    B. The recommendations made by the Finance Commission are binding on the government and the government needs to grant funds according to the advice of the Commission,

    C. Article 280 of the Indian Constitution talks about the recommendations of the Finance Commission.

  2. Consider the given relations $X$, $Y$ and $Z$. The relation $X$ has three columns $P$, $Q$ and $R$. The relation $Y$ has three columns $P$, $Q$ and $S$. The relation $Z$ has two columns $P$ and $T$. 

    Table X 

    PQR
    P1Q1R1
    P2Q2R2
    P3Q3R2

    Table Y 

    PQS
    P1Q12
    P1Q25
    P2Q16
    P3Q31

    Table Z 

    PT
    P1T1
    P3T2
    P4T3
    P4NULL

    Consider the relational algebra expression $$ \Pi_{P, R, S} \left[ \left( \sigma_{(Q = Q3 \lor R = R2)} [X \bowtie Y] \right) \bowtie \left( \sigma_{(S > 1)} [Y \bowtie Z] \right) \right] $$ where $\bowtie$ denotes natural join operation. 

    Which of the following options is the correct output for the given expression?

  3. Consider the following three relations
    Employee (eid, eName), Comp(cid, cName), Own(eid, cid). Which of the following relational algebra expression return the set of eids who own all brands:

  4. Consider a database that includes the following relations: 

    Defender($name, rating, side, goals$) 

    Forward($name, rating, assists, goals$) 

    Team($name, club, price$) 

    Which ONE of the following relational algebra expressions checks that every name occurring in Team appears in either Defender or Forward, where $\phi$ denotes the empty set?

  5. Consider the following three relations:
    Car (model, year, serial, color)
    Make (maker, model)
    Own (owner, serial)
    A tuple in Car represents a specific car of a given model, made in a given year, with a serial number and a color. A tuple in Make specifies that a maker company makes cars of a certain model. A tuple in Own specifies that an owner owns the car with a given serial number. Keys are underlined; (owner, serial) together form key for Own. ($\bowtie$ denotes natural join)
    $ \pi_{\text{owner}} (\text{Own} \bowtie (\sigma_{\text{color}=\text{"red"}} (\text{Car} \bowtie (\sigma_{\text{maker}=\text{“ABC”}} \text{Make})))) $

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