Maintaining Query Performance through Table Rebuilding & Archiving

Despite the system previously utilizing optimal query configurations and database settings, the transaction table in the database, which is undergoing significant numerical increases and notable queries and updates on each line, has seen a drop in query speeds simultaneous with data growth. This sit...

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Main Authors: Widyastuti Andriyani, Pujianto Pujianto
Format: Article
Language:English
Published: Universitas Gadjah Mada 2024-01-01
Series:IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Subjects:
Online Access:https://jurnal.ugm.ac.id/ijccs/article/view/90062
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author Widyastuti Andriyani
Pujianto Pujianto
author_facet Widyastuti Andriyani
Pujianto Pujianto
author_sort Widyastuti Andriyani
collection DOAJ
description Despite the system previously utilizing optimal query configurations and database settings, the transaction table in the database, which is undergoing significant numerical increases and notable queries and updates on each line, has seen a drop in query speeds simultaneous with data growth. This situation arises due to an increase in disk space in the database tablespace, which results from block fragmentation. At times, database engines do not detect this problem, thereby overlooking it in the database recommendation engine. Lacking an understanding of the fundamental issue, database engineers need analysis and strategies to maintain the query speed of the transaction table in the relational database
format Article
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institution OA Journals
issn 1978-1520
2460-7258
language English
publishDate 2024-01-01
publisher Universitas Gadjah Mada
record_format Article
series IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
spelling doaj-art-6463cd72af5845a79c73397b3f4242842025-08-20T02:14:19ZengUniversitas Gadjah MadaIJCCS (Indonesian Journal of Computing and Cybernetics Systems)1978-15202460-72582024-01-01181738210.22146/ijccs.9006235289Maintaining Query Performance through Table Rebuilding & ArchivingWidyastuti Andriyani0Pujianto Pujianto1Universitas Teknologi Digital IndonesiaDepartment of Information Technology, Indonesian Digital Technology University, YogyakartaDespite the system previously utilizing optimal query configurations and database settings, the transaction table in the database, which is undergoing significant numerical increases and notable queries and updates on each line, has seen a drop in query speeds simultaneous with data growth. This situation arises due to an increase in disk space in the database tablespace, which results from block fragmentation. At times, database engines do not detect this problem, thereby overlooking it in the database recommendation engine. Lacking an understanding of the fundamental issue, database engineers need analysis and strategies to maintain the query speed of the transaction table in the relational databasehttps://jurnal.ugm.ac.id/ijccs/article/view/90062elevated transactions and challenges, table reconstruction, data archiving
spellingShingle Widyastuti Andriyani
Pujianto Pujianto
Maintaining Query Performance through Table Rebuilding & Archiving
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
elevated transactions and challenges, table reconstruction, data archiving
title Maintaining Query Performance through Table Rebuilding & Archiving
title_full Maintaining Query Performance through Table Rebuilding & Archiving
title_fullStr Maintaining Query Performance through Table Rebuilding & Archiving
title_full_unstemmed Maintaining Query Performance through Table Rebuilding & Archiving
title_short Maintaining Query Performance through Table Rebuilding & Archiving
title_sort maintaining query performance through table rebuilding archiving
topic elevated transactions and challenges, table reconstruction, data archiving
url https://jurnal.ugm.ac.id/ijccs/article/view/90062
work_keys_str_mv AT widyastutiandriyani maintainingqueryperformancethroughtablerebuildingarchiving
AT pujiantopujianto maintainingqueryperformancethroughtablerebuildingarchiving