SQL queries optimization for UiTM student academic system using Oracle hints / Mohd Junaidi Johari

Query optimization is the most critical phase in query processing. Query processing is the scientific art of obtaining the desired information from a database system in a predictable and reliable fashion. Database systems must be able to respond to requests for information from the user. In large da...

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Main Author: Johari, Mohd Junaidi
Format: Thesis
Language:en
Published: 2014
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/64549/1/64549.pdf
https://ir.uitm.edu.my/id/eprint/64549/
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author Johari, Mohd Junaidi
author_facet Johari, Mohd Junaidi
author_sort Johari, Mohd Junaidi
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
description Query optimization is the most critical phase in query processing. Query processing is the scientific art of obtaining the desired information from a database system in a predictable and reliable fashion. Database systems must be able to respond to requests for information from the user. In large database systems, which may be running on unpredictable and volatile environments, it is difficult to produce efficient database query plans based on information available solely at compile time. Getting the database results in a timely manner deals with the technique of query optimization. Efficient processing of queries is an important requirement in many interactive environments that involve massive amounts of data. Efficient query processing in domains such as the web, multimedia search, and distributed systems has shown a great impact on performance. This research will introduce the SQL queries optimization for UiTM Student Academic System using Oracle Hints. The objective in this research is to identify high load queries and to experiment with the chosen types of hints and finally to propose optimize query plan for the selected queries. The categories and types of hints are also described in this research. For the finding, several types of hints implemented in the queries such as index hints, use hash hints, leading hints and use join operation hints with index. Hopefully, with this research can help the UiTM Student Academic System to improve the performance time in producing the output.
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spelling my.uitm.ir-645492025-02-13T08:02:18Z https://ir.uitm.edu.my/id/eprint/64549/ SQL queries optimization for UiTM student academic system using Oracle hints / Mohd Junaidi Johari Johari, Mohd Junaidi Programming languages (Electronic computers) Query optimization is the most critical phase in query processing. Query processing is the scientific art of obtaining the desired information from a database system in a predictable and reliable fashion. Database systems must be able to respond to requests for information from the user. In large database systems, which may be running on unpredictable and volatile environments, it is difficult to produce efficient database query plans based on information available solely at compile time. Getting the database results in a timely manner deals with the technique of query optimization. Efficient processing of queries is an important requirement in many interactive environments that involve massive amounts of data. Efficient query processing in domains such as the web, multimedia search, and distributed systems has shown a great impact on performance. This research will introduce the SQL queries optimization for UiTM Student Academic System using Oracle Hints. The objective in this research is to identify high load queries and to experiment with the chosen types of hints and finally to propose optimize query plan for the selected queries. The categories and types of hints are also described in this research. For the finding, several types of hints implemented in the queries such as index hints, use hash hints, leading hints and use join operation hints with index. Hopefully, with this research can help the UiTM Student Academic System to improve the performance time in producing the output. 2014 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/64549/1/64549.pdf SQL queries optimization for UiTM student academic system using Oracle hints / Mohd Junaidi Johari. (2014) Masters thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/64549.pdf>
spellingShingle Programming languages (Electronic computers)
Johari, Mohd Junaidi
SQL queries optimization for UiTM student academic system using Oracle hints / Mohd Junaidi Johari
title SQL queries optimization for UiTM student academic system using Oracle hints / Mohd Junaidi Johari
title_full SQL queries optimization for UiTM student academic system using Oracle hints / Mohd Junaidi Johari
title_fullStr SQL queries optimization for UiTM student academic system using Oracle hints / Mohd Junaidi Johari
title_full_unstemmed SQL queries optimization for UiTM student academic system using Oracle hints / Mohd Junaidi Johari
title_short SQL queries optimization for UiTM student academic system using Oracle hints / Mohd Junaidi Johari
title_sort sql queries optimization for uitm student academic system using oracle hints / mohd junaidi johari
topic Programming languages (Electronic computers)
url https://ir.uitm.edu.my/id/eprint/64549/1/64549.pdf
https://ir.uitm.edu.my/id/eprint/64549/
url_provider http://ir.uitm.edu.my/