Query: ∏ ID, person_name (σ company_name=”BigBank” (works)) Explanation: The given query is used to find ID and name of each employee who works for BigBank in the employee database ...

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Answer 1

Expert Solution & Answer

Chapter 2, Problem 14E

a.

Explanation of Solution

Query:

∏_{ID, person_name}(σ_{company_name=”BigBank”}(works))

Explanation:

The given query is used to find ID and name of each employee who works for BigBank in the employee database...

b.

Explanation of Solution

Query:

π_{ID, person_name, city}( employee ⋈_{employee.id =works.id}( σ_{company_name = "BigBank"} ( works )) )

Explanation:

The given query is used to find ID, name and city of residence of each employee who works for BigBank in the employee database...

c.

Explanation of Solution

Query:

π_{ID, person_name, street, city}( σ_{(company_name = "BigBank"} _∧_{salary > 10000} ( works ⋈_{employee.id = works.id} employee ))

Explanation:

The given query is used to find ID, name, street address and city of residence of each employee who works for BigBank and earns more than $10000 in the employee database...

d.

Explanation of Solution

Query:

∏_{ID, person_name}

(σ_{employee.city=company.city}(employee ⋈_{employee.id=woks.id}works

⋈_{works.company_name=company.company_name}company))

Explanation:

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Students have asked these similar questions

Consider the employee database of Figure 2.17. Give an expression in the relational algebra to express each of the following queries: a. Find the name of each employee who lives in city “Miami”. b. Find the name of each employee whose salary is greater than $100000. c. Find the name of each employee who lives in “Miami” and whose salary is greater than $100000.

Consider the library database of Figure 3.20.Write the following queries in SQL.a. Find the member number and name of each member who has borrowedat least one book published by “McGraw-Hill”.b. Find the member number and name of each member who has borrowedevery book published by “McGraw-Hill”.c. For each publisher, find the member number and name of each memberwho has borrowed more than five books of that publisher.d. Find the average number of books borrowed per member. Take into accountthat if a member does not borrow any books, then that member doesnot appear in the borrowed relation at all, but that member still counts inthe average.

Consider the bank database of Figure 2.18. Give an expression in the relational algebra for each of the following queries: a. Find the name of each branch located in “Chicago”. b. Find the ID of each borrower who has a loan in branch “Downtown”

Answer 2

Expert Solution & Answer

Chapter 2, Problem 14E

a.

Explanation of Solution

Query:

∏_{ID, person_name}(σ_{company_name=”BigBank”}(works))

Explanation:

The given query is used to find ID and name of each employee who works for BigBank in the employee database...

b.

Explanation of Solution

Query:

π_{ID, person_name, city}( employee ⋈_{employee.id =works.id}( σ_{company_name = "BigBank"} ( works )) )

Explanation:

The given query is used to find ID, name and city of residence of each employee who works for BigBank in the employee database...

c.

Explanation of Solution

Query:

π_{ID, person_name, street, city}( σ_{(company_name = "BigBank"} _∧_{salary > 10000} ( works ⋈_{employee.id = works.id} employee ))

Explanation:

The given query is used to find ID, name, street address and city of residence of each employee who works for BigBank and earns more than $10000 in the employee database...

d.

Explanation of Solution

Query:

∏_{ID, person_name}

(σ_{employee.city=company.city}(employee ⋈_{employee.id=woks.id}works

⋈_{works.company_name=company.company_name}company))

Explanation:

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Answer 3

Expert Solution & Answer

Chapter 2, Problem 14E

a.

Explanation of Solution

Query:

∏_{ID, person_name}(σ_{company_name=”BigBank”}(works))

Explanation:

The given query is used to find ID and name of each employee who works for BigBank in the employee database...

b.

Explanation of Solution

Query:

π_{ID, person_name, city}( employee ⋈_{employee.id =works.id}( σ_{company_name = "BigBank"} ( works )) )

Explanation:

The given query is used to find ID, name and city of residence of each employee who works for BigBank in the employee database...

c.

Explanation of Solution

Query:

π_{ID, person_name, street, city}( σ_{(company_name = "BigBank"} _∧_{salary > 10000} ( works ⋈_{employee.id = works.id} employee ))

Explanation:

The given query is used to find ID, name, street address and city of residence of each employee who works for BigBank and earns more than $10000 in the employee database...

d.

Explanation of Solution

Query:

∏_{ID, person_name}

(σ_{employee.city=company.city}(employee ⋈_{employee.id=woks.id}works

⋈_{works.company_name=company.company_name}company))

Explanation:

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Answer 4

Expert Solution & Answer

Chapter 2, Problem 14E

a.

Explanation of Solution

Query:

∏_{ID, person_name}(σ_{company_name=”BigBank”}(works))

Explanation:

The given query is used to find ID and name of each employee who works for BigBank in the employee database...

b.

Explanation of Solution

Query:

π_{ID, person_name, city}( employee ⋈_{employee.id =works.id}( σ_{company_name = "BigBank"} ( works )) )

Explanation:

The given query is used to find ID, name and city of residence of each employee who works for BigBank in the employee database...

c.

Explanation of Solution

Query:

π_{ID, person_name, street, city}( σ_{(company_name = "BigBank"} _∧_{salary > 10000} ( works ⋈_{employee.id = works.id} employee ))

Explanation:

The given query is used to find ID, name, street address and city of residence of each employee who works for BigBank and earns more than $10000 in the employee database...

d.

Explanation of Solution

Query:

∏_{ID, person_name}

(σ_{employee.city=company.city}(employee ⋈_{employee.id=woks.id}works

⋈_{works.company_name=company.company_name}company))

Explanation:

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Answer 5

Expert Solution & Answer

Answer 6

Expert Solution & Answer

Answer 7

Chapter 2, Problem 14E

a.

Explanation of Solution

Query:

∏_{ID, person_name}(σ_{company_name=”BigBank”}(works))

Explanation:

The given query is used to find ID and name of each employee who works for BigBank in the employee database...

b.

Explanation of Solution

Query:

π_{ID, person_name, city}( employee ⋈_{employee.id =works.id}( σ_{company_name = "BigBank"} ( works )) )

Explanation:

The given query is used to find ID, name and city of residence of each employee who works for BigBank in the employee database...

c.

Explanation of Solution

Query:

π_{ID, person_name, street, city}( σ_{(company_name = "BigBank"} _∧_{salary > 10000} ( works ⋈_{employee.id = works.id} employee ))

Explanation:

The given query is used to find ID, name, street address and city of residence of each employee who works for BigBank and earns more than $10000 in the employee database...

d.

Explanation of Solution

Query:

∏_{ID, person_name}

(σ_{employee.city=company.city}(employee ⋈_{employee.id=woks.id}works

⋈_{works.company_name=company.company_name}company))

Explanation:

Answer 8

Chapter 2, Problem 14E

a.

Explanation of Solution

Query:

∏_{ID, person_name}(σ_{company_name=”BigBank”}(works))

Explanation:

The given query is used to find ID and name of each employee who works for BigBank in the employee database...

Answer 9

Chapter 2, Problem 14E

a.

Explanation of Solution

Query:

∏_{ID, person_name}(σ_{company_name=”BigBank”}(works))

Explanation:

The given query is used to find ID and name of each employee who works for BigBank in the employee database...

Answer 10

b.

Explanation of Solution

Query:

π_{ID, person_name, city}( employee ⋈_{employee.id =works.id}( σ_{company_name = "BigBank"} ( works )) )

Explanation:

The given query is used to find ID, name and city of residence of each employee who works for BigBank in the employee database...

Answer 11

b.

Explanation of Solution

Query:

π_{ID, person_name, city}( employee ⋈_{employee.id =works.id}( σ_{company_name = "BigBank"} ( works )) )

Explanation:

The given query is used to find ID, name and city of residence of each employee who works for BigBank in the employee database...

Answer 12

c.

Explanation of Solution

Query:

π_{ID, person_name, street, city}( σ_{(company_name = "BigBank"} _∧_{salary > 10000} ( works ⋈_{employee.id = works.id} employee ))

Explanation:

The given query is used to find ID, name, street address and city of residence of each employee who works for BigBank and earns more than $10000 in the employee database...

Answer 13

c.

Explanation of Solution

Query:

π_{ID, person_name, street, city}( σ_{(company_name = "BigBank"} _∧_{salary > 10000} ( works ⋈_{employee.id = works.id} employee ))

Explanation:

The given query is used to find ID, name, street address and city of residence of each employee who works for BigBank and earns more than $10000 in the employee database...

Answer 14

d.

Explanation of Solution

Query:

∏_{ID, person_name}

(σ_{employee.city=company.city}(employee ⋈_{employee.id=woks.id}works

⋈_{works.company_name=company.company_name}company))

Explanation:

Answer 15

d.

Explanation of Solution

Query:

∏_{ID, person_name}

(σ_{employee.city=company.city}(employee ⋈_{employee.id=woks.id}works

⋈_{works.company_name=company.company_name}company))

Explanation:

Answer 16

Expert Solution & Answer

Answer 17

Expert Solution & Answer

Answer 18

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Answer 19

Ch. 2 - Prob. 1PE Ch. 2 - Prob. 2PE Ch. 2 - Prob. 3PE Ch. 2 - Prob. 4PE Ch. 2 - Prob. 5PE Ch. 2 - Prob. 6PE Ch. 2 - Prob. 7PE Ch. 2 - Prob. 8PE Ch. 2 - Prob. 9PE Ch. 2 - Describe the differences in meaning between the...

Query: ∏ ID, person_name (σ company_name=”BigBank” (works)) Explanation: The given query is used to find ID and name of each employee who works for BigBank in the employee database ...

Explanation of Solution

Query: ∏ID, person_name(σcompany_name=”BigBank”(works)) Explanation: The given query is used to find ID and name of each employee who works for BigBank in the employee database...

Explanation of Solution

Query: πID, person_name, city ( employee ⋈employee.id =works.id ( σcompany_name = "BigBank" ( works )) ) Explanation: The given query is used to find ID, name and city of residence of each employee who works for BigBank in the employee database...

Explanation of Solution

Explanation of Solution

Query: ∏ID, person_name (σemployee.city=company.city(employee ⋈employee.id=woks.id works ⋈works.company_name=company.company_name company)) Explanation:

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Chapter 2 Solutions

Query:

∏_{ID, person_name}(σ_{company_name=”BigBank”}(works))

Explanation:

The given query is used to find ID and name of each employee who works for BigBank in the employee database...

Query:

π_{ID, person_name, city}( employee ⋈_{employee.id =works.id}( σ_{company_name = "BigBank"} ( works )) )

Explanation:

The given query is used to find ID, name and city of residence of each employee who works for BigBank in the employee database...

Query:

∏_{ID, person_name}

(σ_{employee.city=company.city}(employee ⋈_{employee.id=woks.id}works

⋈_{works.company_name=company.company_name}company))

Explanation: