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Question

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})))) $

The correct answer is
All owners of a red car made by ABC

Database Query Analysis: Owners of Red Cars by ABC

This solution breaks down the relational algebra query to identify specific car owners based on car attributes.

Understanding the Relational Algebra Query

The query is:

$ \pi_{\text{owner}} (\text{Own} \bowtie (\sigma_{\text{color}=\text{"red"}} (\text{Car} \bowtie (\sigma_{\text{maker}=\text{“ABC”}} \text{Make})))) $

We will analyze this expression step-by-step, starting from the innermost operations.

Step 1: Identify Cars Made by "ABC"

The operation $ \sigma_{\text{maker}=\text{“ABC”}} \text{Make} $ filters the $Make$ relation to find all models produced by the maker "ABC".

Then, the natural join $ \text{Car} \bowtie (\dots) $ combines this result with the $Car$ relation based on the $model$ attribute. This yields tuples representing cars that are made by "ABC".

Step 2: Filter for Red Cars Made by "ABC"

The selection $ \sigma_{\text{color}=\text{"red"}} (\dots) $ is applied to the result from Step 1. This filters the set of cars made by "ABC" to include only those whose $color$ is "red".

The result at this stage represents red cars made by "ABC".

Step 3: Link Cars to Owners

The natural join $ \text{Own} \bowtie (\dots) $ connects the red cars made by "ABC" (from Step 2) with the $Own$ relation using the $serial$ attribute. This creates tuples linking owners to specific red cars made by "ABC".

Step 4: Extract Owner Information

Finally, the projection $ \pi_{\text{owner}} (\dots) $ selects only the $owner$ attribute from the joined result. This gives the final list of unique owners who own at least one red car made by "ABC".

Conclusion

The query effectively finds all owners associated with cars that satisfy both conditions: being red and being made by "ABC".

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Important Questions from Relational Algebra

  1. 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?

  2. 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 $E$ ?
  3. 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?

  4. Consider the following tables, Loan and Borrower of a bank.
     

                         Loan          Borrower
    loan_numbranch_nameamountcustomer_nameloan_num
    L11Banjara Hills90000AnandL11
    L14Kondapur50000KarteekL11
    L15SR Nagar40000AnkitaL15
    L22SR Nagar25000GopalL19
    L23Balanagar80000KarteekL22
    L25Kondapur70000KarteekL23
    L19SR Nagar65000SunilL23
     SunilL25


    Query: $\pi_{\text{branch\_name}, \text{customer\_name}}(\mathbf{Loan} \bowtie \mathbf{Borrower}) \div \pi_{\text{branch\_name}}(\mathbf{Loan})$
    where $\bowtie$ denotes natural join.
    The number of tuples returned by the above relational algebra query is _______
    (Answer in integer)

  5. 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:

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