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In what ways does the usage of a hash table increase efficiency over the use of a linear list? What may be the problem? The usage of a hashtable in its design

In what ways does the usage of a hash table increase efficiency over the use of a linear list? What may be the problem? The usage of a hashtable in its design

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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**Title: Advantages and Challenges of Using Hash Tables Over Linear Lists** **Introduction** This article explores how hash tables can increase efficiency compared to linear lists, while also examining potential challenges. **Increased Efficiency with Hash Tables** Hash tables improve efficiency by allowing for faster data retrieval. In a hash table, data is accessed using a hash function to compute an index, which means average-case time complexity for search operations is O(1). This is significantly faster than the O(n) time complexity associated with searching in a linear list. **Potential Problems** Despite their efficiency, hash tables can have issues such as collision, where two keys hash to the same index. To address this, collision resolution techniques like chaining or open addressing are employed. Additionally, hash tables require more memory than linear lists and may have inefficiencies if poorly designed or if the hash function is not optimal. **Conclusion** While hash tables offer significant performance benefits over linear lists, understanding their design and potential pitfalls is crucial to effectively leverage their advantages.
Transcribed Image Text:**Title: Advantages and Challenges of Using Hash Tables Over Linear Lists** **Introduction** This article explores how hash tables can increase efficiency compared to linear lists, while also examining potential challenges. **Increased Efficiency with Hash Tables** Hash tables improve efficiency by allowing for faster data retrieval. In a hash table, data is accessed using a hash function to compute an index, which means average-case time complexity for search operations is O(1). This is significantly faster than the O(n) time complexity associated with searching in a linear list. **Potential Problems** Despite their efficiency, hash tables can have issues such as collision, where two keys hash to the same index. To address this, collision resolution techniques like chaining or open addressing are employed. Additionally, hash tables require more memory than linear lists and may have inefficiencies if poorly designed or if the hash function is not optimal. **Conclusion** While hash tables offer significant performance benefits over linear lists, understanding their design and potential pitfalls is crucial to effectively leverage their advantages.
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Step 1

The linear list structure and the hash table structure are data formats for file directories.

The simplistic linear list format is quick to design and aesthetically beautiful.

In spite of this, it is slow throughout the execution process

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