Database Concepts (8th Edition)
8th Edition
ISBN: 9780134601533
Author: David M. Kroenke, David J. Auer, Scott L. Vandenberg, Robert C. Yoder
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Expert Solution & Answer
Chapter 5, Problem 5.32RQ
Explanation of Solution
Representation of the recursive one-to-many relationship (1:N):
- Recursive one-to-many relationship is one of the types of recursive binary relationship that refers to the relationship between two entities which means one parent field or record can be associated with one or more child field or record in recursive manner.
- Let us consider the following example:
Explanation:
- In the below diagram, “Employee_ID” is a primary key and “Manager_ID” is a foreign key.
Difference between recursive one-to-one relationship and non-recursive one-to-one relationship:
| Recursive one-to-many relationship | Non-recursive one-to-many relationship |
| The “Employee” can be in post of “Manager” and a “Manager” can manage an employee... |
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Correct and detailed answer. I will Upvote. Thank you
An Association Rule is an implication expression of the form X -->Y, where X and Y are disjoint itemsets.
How many possible non-empty itemsets can be generated from a list of 12 unique items? How many non-redundant association rules can be generated from them?
Does a higher value of k lead to a more complex model, or a less complex model?
Why do we still use linear data structures when we could just as easily use non-linear data structures? Please illustrate your answer with an example and provide an explanation to support it.
Chapter 5 Solutions
Database Concepts (8th Edition)
Ch. 5 - Explain how entities are transformed into tables.Ch. 5 - Prob. 5.2RQCh. 5 - Prob. 5.3RQCh. 5 - What is denormalization?Ch. 5 - Prob. 5.5RQCh. 5 - Explain the problems that denormalized tables may...Ch. 5 - Explain how the representation of weak entities...Ch. 5 - Explain how supertype and subtype entities are...Ch. 5 - Prob. 5.9RQCh. 5 - Prob. 5.10RQ
Ch. 5 - Show two different ways to represent the 1:1...Ch. 5 - Prob. 5.12RQCh. 5 - Prob. 5.13RQCh. 5 - Prob. 5.14RQCh. 5 - Prob. 5.15RQCh. 5 - Prob. 5.16RQCh. 5 - For your answer to question 5.15, code an SQL...Ch. 5 - Prob. 5.18RQCh. 5 - Prob. 5.20RQCh. 5 - Prob. 5.21RQCh. 5 - Explain how the terms parent table and child table...Ch. 5 - For your answers to questions 5.20, 5.21, and...Ch. 5 - Prob. 5.24RQCh. 5 - Prob. 5.25RQCh. 5 - Prob. 5.26RQCh. 5 - Prob. 5.27RQCh. 5 - Prob. 5.28RQCh. 5 - Define the three types of recursive binary...Ch. 5 - Prob. 5.30RQCh. 5 - Prob. 5.31RQCh. 5 - Prob. 5.32RQCh. 5 - Prob. 5.33RQCh. 5 - Prob. 5.34RQCh. 5 - Code an SQL statement that creates a table with...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- Explain aproximiation and how it can be achieved by fuzzy relation with simple examplearrow_forward2arrow_forwardCan renaming be pushed through join and selection—that is, which of the following algebraic laws hold? ρN (RS) = ρN (R)ρN (S) , ρN (σC (R)) = σC (ρN (R)) In each case, support your answer by an example (i.e., give relations and parameters so that the expressions on the two sides of = are equal or non-equal). If your answer is no, additionally impose restrictions on the parameters (i.e., N and C) so that the law holds.arrow_forward
- Choose the pair that most accurately depicts the pluses and minuses of evaluative studies.arrow_forwardWe discussed two algorithms for computing the transitive closure of a given relation. Use the pseudocode given below to complete the questions. Algorithm 0.1 (A Procedure for Computing the Transitive Closure). procedure transitive closure (MR : zeroone n × n matrix) A := MR B := A for i := 2 to n A := A ⊙ MR B := B ∨ A return B (the zero-one matrix for R∗ .) Algorithm 0.2 (Warshall Algorithm). procedure Warshall (MR : n × n zeroone matrix) W := MR for k := 1 to n for i := 1 to n for j := 1 to n wij := wij ∨ (wik ∧ wkj ) return W (W = [wij ] is the zero-one matrix for R∗ .) 1. In lecture, I mentioned that Warshall’s algorithm is more efficient, when compared to Algorithm 0.1, at computing the transitive closure. Verify this claim by doing the following. (a) (15 points) Write python scripts that will perform both algorithms. (b) (10 points) Once your scripts are working correctly, run a sequence of tests using random zero-one matrices with n = 10, 20, 30, ..., 100 where you record…arrow_forwardA main disadvantage of data matching using probabilistic approaches is that they take far longer to run than non-probabilistic approaches. True or false?arrow_forward
- Draw an ERD for the following situation (Batra et al., 1988). Also, develop the list of words for qualifiers and classes that you use to form attribute names. Explain whyarrow_forwardThe relations from Exercise 3 are: a. (1,1), (1,3), (2,2), (3,1), (3,3) b. (1,2), (2,2), (3,2) c. (1,1), (1,2), (1,3), (2,1), (2,3), (3,1), (3,2), (3,3) There will be 3 directed graphs. One representing a, then b, then carrow_forwardMake a comparison between the disjoint rule and the overlap rule.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Database System ConceptsComputer ScienceISBN:9780078022159Author:Abraham Silberschatz Professor, Henry F. Korth, S. SudarshanPublisher:McGraw-Hill Education
Starting Out with Python (4th Edition)Computer ScienceISBN:9780134444321Author:Tony GaddisPublisher:PEARSON
Digital Fundamentals (11th Edition)Computer ScienceISBN:9780132737968Author:Thomas L. FloydPublisher:PEARSON
C How to Program (8th Edition)Computer ScienceISBN:9780133976892Author:Paul J. Deitel, Harvey DeitelPublisher:PEARSON
Database Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781337627900Author:Carlos Coronel, Steven MorrisPublisher:Cengage Learning
Programmable Logic ControllersComputer ScienceISBN:9780073373843Author:Frank D. PetruzellaPublisher:McGraw-Hill Education
Database System Concepts
Computer Science
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:McGraw-Hill Education
Starting Out with Python (4th Edition)
Computer Science
ISBN:9780134444321
Author:Tony Gaddis
Publisher:PEARSON
Digital Fundamentals (11th Edition)
Computer Science
ISBN:9780132737968
Author:Thomas L. Floyd
Publisher:PEARSON
C How to Program (8th Edition)
Computer Science
ISBN:9780133976892
Author:Paul J. Deitel, Harvey Deitel
Publisher:PEARSON
Database Systems: Design, Implementation, & Manag...
Computer Science
ISBN:9781337627900
Author:Carlos Coronel, Steven Morris
Publisher:Cengage Learning
Programmable Logic Controllers
Computer Science
ISBN:9780073373843
Author:Frank D. Petruzella
Publisher:McGraw-Hill Education