Selection of Table Scan or Seek Scan on the Basis of Data Size to Reduce Number of Logical Reads

Kharade, S. K. and Kharade, K. G. and Oza, K. S. and Kamat, R. K. (2020) Selection of Table Scan or Seek Scan on the Basis of Data Size to Reduce Number of Logical Reads. In: Theory and Practice of Mathematics and Computer Science Vol. 1. B P International, pp. 33-48. ISBN 978-93-90149-22-3

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Abstract

The information retrieval system is an effort to extract services from a range of knowledge services, which are
specific to the information requirement. You will access this method using passwords or keywords or a user
query. Databases and documents are usually limited to different organizational framework managed by the
DBMS and the Information Retrieval Systems (IRS). Both DBMS and IRS, though, frequently store data on the
same individuals, providing convergence opportunities. In the modern world, it has become necessary to retrieve
the information in very efficient manner and within a very less time. But being availability of data in very large
size, information retrieval form database become slower which may affect the overall performance of the
system. For this, various methodologies have been implemented in all DBMS software. In addition, it becomes
mandatory to use proper technique for the better and faster result. Table scan and seek scan have integrated in
the DBMS for the same purpose. In the current research, we have compared both methods for better
performance [1].

Item Type: Book Section
Subjects: Institute Archives > Mathematical Science
Depositing User: Managing Editor
Date Deposited: 04 Nov 2023 05:08
Last Modified: 04 Nov 2023 05:08
URI: http://eprint.subtopublish.com/id/eprint/3447

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