1. Hashing and Linear Probing for Collision 9. Perform a search for key 1040237. How many (hash table) elements will have tobe compared with this search key before it can concluded that 1040237 is found inthe array?10. Perform a search for key 1150246. How many (hash table) elements will have tobe compared with this search key before it can concluded that 1150246 is found inthe array? Consider the followingscenario/assumptions:• A hash table can store at most 11 elements. Indices are numbered from 0 to 10. Itis currently empty (no elements yet).• The hashing function is defined as H(k) = k % 11• The collision resolution technique is Linear Probing.Insert the following keys in the hash table in the sequence that they appear below:• 160237• 270238• 380237• 490240• 600237• 710242• 820237• 930244• 1040237• 1150246Write on a piece of paper the contents of the resulting has table after inserting thesekeys. The table should contain 10 elements, with only one address that is left open,i.e., it is not occupied by any key. Answer the questions below by filling up the blanks.

Given hash funcion H(K) = K% 11 resolved using Lienar Probing where we find next empty slot in case…

9. Perform a search for key 1040237. How many (hash table) elements will have to be compared with this search key before it can concluded that 1040237 is found in the array? 10. Perform a search for key 1150246. How many (hash table) elements will have to be compared with this search key before it can concluded that 1150246 is found in the array?

9. Perform a search for key 1040237. How many (hash table) elements will have to be compared with this search key before it can concluded that 1040237 is found in the array? 10. Perform a search for key 1150246. How many (hash table) elements will have to be compared with this search key before it can concluded that 1150246 is found in the array?

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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Concept explainers

Hash Table

A hash table also called a hash map, is a data structure that maps key-value pairs. The hash table can be used in complex systems to provide fast access and compact storage. A hash table is a structure that stores data in an abstract data type kind of associative array. It keeps data in an array format, with a distinct index value for every data value. If the index of the required data is known, then the data can be accessed very easily.

Question

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1. Hashing and Linear Probing for Collision

9. Perform a search for key 1040237. How many (hash table) elements will have to
be compared with this search key before it can concluded that 1040237 is found in
the array?
10. Perform a search for key 1150246. How many (hash table) elements will have to
be compared with this search key before it can concluded that 1150246 is found in
the array?

Consider the following
scenario/assumptions:
• A hash table can store at most 11 elements. Indices are numbered from 0 to 10. It
is currently empty (no elements yet).
• The hashing function is defined as H(k) = k % 11
• The collision resolution technique is Linear Probing.
Insert the following keys in the hash table in the sequence that they appear below:
• 160237
• 270238
• 380237
• 490240
• 600237
• 710242
• 820237
• 930244
• 1040237
• 1150246
Write on a piece of paper the contents of the resulting has table after inserting these
keys. The table should contain 10 elements, with only one address that is left open,
i.e., it is not occupied by any key. Answer the questions below by filling up the blanks.

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