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Performance tuning in modern database systems requires a lot of expertise, is very time consuming and often misdirected. Tuning attempts often lack a methodology that has a holistic view of the database. The absence of historical diagnostic information to investigate performance issues at first occurrence exacerbates the whole tuning process often requiring that problems be reproduced before they can be correctly diagnosed. With the advent of web business, system performance is more important to businesses than ever before. A poorly performing web site is just as bad as one that is actually. One of the things that makes performance tuning difficult is that the performance of different components of the database is often measured using unrelated metrics like buffer hit-ratio, transactions per second and average I/O latency. Such unrelated metrics make it infeasible to weigh the performance impact of one component of the database with the impact of others components. Automatic Performance Diagnosis. Performance of various components of the database are measured using different metrics. For example, the efficiency of the data-block buffer cache is expressed as a percentage in buffer hit-ratio. The first step in automatic performance tuning is to correctly identify the causes of performance problems. Only when the root-cause of the performance problem is correctly identified, it is possible to explore effective tuning recommendations to solve or alleviate the issue.
Tags : modern database systems, performance diagnosis, automatic performance, performance impact, performance problem, buffer cache, holistic view, different components, system performance, performance issues, business system, performance tuning, performance problems, root cause, web business
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