Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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What are three ways to deal with collisions when implementing a hashing
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- . Sorting technique uses Divide and Conquer Strategy. QUESTION 2 ..is a technique where linked lists are used to take care of the collision from hash table.arrow_forwardWe are using a subpar hash map, where each value is accumulated in a single container. A hash map has successfully achieved its purpose.arrow_forwardSuppose these names have the following hash values. Each leaf can only hold 4 entries. Insert them into the extendible hash table shown below. Note that the first two names have already been inserted. Illustrate each operation that occurs. Bob 0100 Sue 1000 Tim 1110 Ron 0010 Ann 1010 Jan 1101 Ben 0001 Don 0101 Tom 1111 Sam 1011 (1) (1) Bob 0100 Sue 1000arrow_forward
- In our subpar hash map, we store each value in a single container. In this case, a hash map was able to achieve its intended result.arrow_forwardLinear hash index:Consider the Extendible Hashing index shown in figure below.A bucket is split each time an overflow page gets created Show the state of the index after each operation:a) Insertion of entry 2b) Insertion of entry 40c) Insertion of entry 39arrow_forwardA hash-map has been constructed with quadratic-hashing. The hashing function is h(k;) = (3 * k; + 7) mod 17 and the table length is N = 17. How many cells will be probed by the call of insert(2) 1 4 5 6 7 8 10 11 12 13 14 15 16 26 89 11 35 70 59 Note: First row contains the indices and the second row contains the items.arrow_forward
- Because of the shoddy way in which the map was built, all of the hash map's contents are contained in a single LinkedList. The hash map's utility is reduced as a consequence.arrow_forwardDue to the way the map was constructed, all of the data for the hash is stored in a single container, a LinkedList. This decreases a hash map's usefulness.arrow_forward5. Here are keys and their hash values, for hashing using h(k)= k mod m Where m = 13 130 108 K H(K) 9 0 4 Use double hashing to resolve the collision with h2(k)= 10 - (k mod 10) Construct the hash table 100 78 0 35 9arrow_forward
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