Oracle Database Performance Improvement: Using Trustworthy Automatic Database Diagnostic Monitor Technology

被引:0
|
作者
Arb, Ghusoon Idan [1 ]
机构
[1] Univ Sumer, Coll Comp Sci & Informat Technol, Thi qar 64005, Iraq
来源
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE | 2024年 / 19卷 / 03期
关键词
Oracle Database Performance; Automatic Database Diagnostic Monitor; Automatic Workload Repository; Server Bottleneck;
D O I
暂无
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The Oracle database is widely acknowledged for its high level of trustworthiness. This paper elucidates the manner in which Oracle DB provides an automated methodology for the identification and optimization of performance issues. The capacity for self -tuning is an essential element in the development of a dependable and trustworthy self -directed database. This paper offers a comprehensive examination of Oracle's self -tuning capabilities, focusing on the Automatic Database Diagnostic Monitor (ADDM) as a prominent automatic tuning solution. The discussion encompasses an overview of these capabilities and a thorough presentation of ADDM's features and functionalities. The ADDM (Automatic Database Diagnostic Monitor) is a tool that systematically evaluates and scrutinizes the data obtained from the Automatic Workload Repository (AWR) in order to detect and assess possible performance concerns within the Oracle Database. To assess the efficacy of ADDM, we formulated a program to replicate substantial server workloads and effectively implemented ADDM suggestions to address the identified issues, thereby ensuring a trustworthy resolution.
引用
收藏
页码:881 / 892
页数:12
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