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Database Systems: Design, Implemen...

13th Edition
Carlos Coronel + 1 other
Publisher: Cengage Learning
ISBN: 9781337627900

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Section
BuyFindarrow_forward

Database Systems: Design, Implemen...

13th Edition
Carlos Coronel + 1 other
Publisher: Cengage Learning
ISBN: 9781337627900
Chapter 11, Problem 11P
Textbook Problem
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Problems 11–14 are based on the following query:

SELECT P_CODE, SUM(LINE_UNITS)
FROM LINE
GROUP BY P_CODE
HAVING SUM(LINE_UNITS) > (SELECT MAX(LINE_UNITS) FROM LINE);

What is the likely data sparsity of the LINE_UNITS column?

Program Plan Intro

Data sparsity:

The number of unique values a column could contain is referred as data sparsity; the data sparsity can be classified into two types and they are as follows:

  • Low sparsity:
    • When a column contains minimum number of unique values is called as low sparsity.
    • Consider the column named gender; gender can contain only two different values namely ‘male’ and ‘female’ and this is considered to be a low sparsity.
  • High sparsity:
    • When a column contains maximum number of unique values is called as low sparsity.
    • Consider the column named Birthdate; Birthdate can contain multiple different values and this is considered to be a high sparsity.
  • The appropriate use of index can be determined by knowing the sparsity.

Explanation of Solution

Data sparsity of the column “LINE_UNITS”:

The data sparsity for the column “LINE_UNITS” is, it could contain high sparsity because the column in the LINE...

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Chapter 11 Solutions

Database Systems: Design, Implementation, & Management
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