Tuning a Multi-Million Row Table
A. Sharma1
Section:Research Paper, Product Type: Journal Paper
Volume-4 ,
Issue-9 , Page no. 141-145, Sep-2016
Online published on Sep 30, 2016
Copyright © A. Sharma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How to Cite this Paper
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IEEE Style Citation: A. Sharma, “Tuning a Multi-Million Row Table,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.9, pp.141-145, 2016.
MLA Style Citation: A. Sharma "Tuning a Multi-Million Row Table." International Journal of Computer Sciences and Engineering 4.9 (2016): 141-145.
APA Style Citation: A. Sharma, (2016). Tuning a Multi-Million Row Table. International Journal of Computer Sciences and Engineering, 4(9), 141-145.
BibTex Style Citation:
@article{Sharma_2016,
author = {A. Sharma},
title = {Tuning a Multi-Million Row Table},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2016},
volume = {4},
Issue = {9},
month = {9},
year = {2016},
issn = {2347-2693},
pages = {141-145},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1068},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1068
TI - Tuning a Multi-Million Row Table
T2 - International Journal of Computer Sciences and Engineering
AU - A. Sharma
PY - 2016
DA - 2016/09/30
PB - IJCSE, Indore, INDIA
SP - 141-145
IS - 9
VL - 4
SN - 2347-2693
ER -
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Abstract
Every organization faces the issue of slow performance with their database on regular basis. In this scenario, a DBA is required to tune the database or find the root cause of the sluggishness. Tuning a database after it has been setup is a highly tedious task and requires a lot of expertise, in-depth knowledge of the architecture and underlying functionality. So, it�s better to deal with the problem from the starting, i.e. structuring the Database in such a manner, that it yields good performance. This will make the database more stable and reduce the effort required to manage the database. So, presented below is a method to achieve better performance regardless of the quality of the hardware on which the database is hosted. Below method of database structuration made my life easier when I was asked to design the structure of an organization�s database from scratch and this entire paper is based on that method.
Key-Words / Index Term
Database Optimization, Database Structuration, Performance Tuning, Table Structuration
References
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