Please draw the hashtable • Start with an empty hash table of capacity 10 and load factor .75• Double the table capacity during a resize operation.• The hash function maps String keys to indexes using the first character base 26 mod table size.• Example: "Wilson"• Use quadratic probing to resolve collisions. Ex. h(n), h(n) + 1?, h(n) + 2², h(n) + 3² + .. (mod table22 mod 10 = 2size)• Show the final table after adding the following in this order: "Schmitt", "Cernan", "Duke","Young", "Irwin", "Scott", "Mitchell", "Shepard", "Bean", "Conrad", "Aldrin", “Armstrong"For your convenience here are character/number mappings:А в с D E F G н IJK L M0 134 5 6 7 89101112N o P QR ST U Vw x Y Z13141516171819202122232425

Start with an empty hash table of capacity 10 and load factor .75 • Double the table capacity during a resize operation. • The hash function maps String keys to indexes using the first character base 26 mod table size. • Example: "Wilson" • Use quadratic probing to resolve collisions. Ex. h(n), h(n) + 1², h(n) + 2?, h(n) + 3² + ... (mod table 22 mod 10 = 2 size) • Show the final table after adding the following in this order: "Schmitt", "Cernan", "Duke", "Young", "Irwin", "Scott", "Mitchell", "Shepard", "Bean", "Conrad", "Aldrin", "Armstrong" For your convenience here are character/number mappings: в с D E F G нI кLм 5 6 7 8 9 1 2 3 4 10 11 12 O P Q R S IU v w x Y Z 13 14 15 16 17 18 19 20 21 22 23 24 25

Start with an empty hash table of capacity 10 and load factor .75 • Double the table capacity during a resize operation. • The hash function maps String keys to indexes using the first character base 26 mod table size. • Example: "Wilson" • Use quadratic probing to resolve collisions. Ex. h(n), h(n) + 1², h(n) + 2?, h(n) + 3² + ... (mod table 22 mod 10 = 2 size) • Show the final table after adding the following in this order: "Schmitt", "Cernan", "Duke", "Young", "Irwin", "Scott", "Mitchell", "Shepard", "Bean", "Conrad", "Aldrin", "Armstrong" For your convenience here are character/number mappings: в с D E F G нI кLм 5 6 7 8 9 1 2 3 4 10 11 12 O P Q R S IU v w x Y Z 13 14 15 16 17 18 19 20 21 22 23 24 25

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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Case study: An event company asks you to design the data structure and program prototype for their running event system. The participant for the running event is expected to reach more than 1000 in various categories. You decided to use hashing function method to store the information for each participant's BIB number in the hash table. To begin the problem solving, suppose that 10 registered runners need to be stored in a hash table, HT, with a size of 13. The sample BIB number of the runners are: 101, 102, 103, 104, 107, 111, 121, 217, 157, and 185. Furthermore, you set the hash function to determine the index of the participant in the HT as: hash (BIB) = BIB % table size (or 13) However, if the hash index given by hash(BIB) is already occupied (collision), the linear probing hash function will be used as: hash (BIB) = (Hash (BIB)+1) % 17 and, further collision with hash function: hash (BIB) = (Hash(BIB)+2) % 17 or, hash(BIB) = (Hash (BIB) + n) % 17, where n is probe increment. Refer…
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Question two
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