Implement a dynamically resizable hash table to store book names and 10-digit ISBN numbers. Use an initial table size of 11 and a load factor of 0.70. Use the extraction method with division using the last three digits of the ISBN as the first hash address. For a collision, use linear probing. For your testing, make sure you deliberately code ISBNs so that collisions will occur, and demonstrate how the same set of values can result in different hashes, depending on the order in which they are added. Test adding items until the hash table must be resized. Test finding and removing items from the hash table.
Implement a dynamically resizable hash table to store book names and 10-digit ISBN numbers. Use an initial table size of 11 and a load factor of 0.70. Use the extraction method with division using the last three digits of the ISBN as the first hash address. For a collision, use linear probing. For your testing, make sure you deliberately code ISBNs so that collisions will occur, and demonstrate how the same set of values can result in different hashes, depending on the order in which they are added. Test adding items until the hash table must be resized. Test finding and removing items from the hash table.
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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Implement a dynamically resizable hash table to store book names and 10-digit ISBN numbers. Use an initial table size of 11 and a load factor of 0.70. Use the extraction method with division using the last three digits of the ISBN as the first hash address. For a collision, use linear probing. For your testing, make sure you deliberately code ISBNs so that collisions will occur, and demonstrate how the same set of values can result in different hashes, depending on the order in which they are added. Test adding items until the hash table must be resized. Test finding and removing items from the hash table.
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