Overview
Presents a dynamic process that overcomes limitations of older tuning approaches
The process in this book does not rely on AWR, and can be applied in any database
The method draws from big data techniques to massively scale across thousands of available metrics
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
-
Performance Tuning Basics
-
The Dynamic Oracle Performance Analytics (DOPA) Process
-
Case Studies and Further Applications
Keywords
About this book
This book briefly reviews past and present practices, along with available tools, to help you recognize areas where improvements can be made. The book then guides you through a step-by-step method that can be used to take advantage of all available metrics to identify problem areas and work toward improving them. The method presented simplifies the tuning process and solves the problem of metric overload.
You will learn how to: collect and normalize data, generate deltas that are useful in performing statistical analysis, create and use a taxonomy to enhance your understanding of problem performance areas in your database and its applications, and create a root cause analysis report that enables understanding of a specific performance problem and its likely solutions.
What You'll Learn
- Collect and prepare metrics for analysis from a wide array of sources
- Apply statistical techniques to select relevant metrics
- Create a taxonomy to provide additional insight into problem areas
- Provide a metrics-based root cause analysis regarding the performance issue
- Generate an actionable tuning plan prioritized according to problem areas
- Monitor performance using database-specific normal ranges
​Who This Book Is For
Professional tuners: responsible for maintaining the efficient operation of large-scale databases who wish to focus on analysis, who want to expand their repertoire to include a big data methodology and use metrics without being overwhelmed, who desire to provide accurate root cause analysis and avoid the cyclical fix-test cycles that are inevitable when speculation is used
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Dynamic Oracle Performance Analytics
Book Subtitle: Using Normalized Metrics to Improve Database Speed
Authors: Roger Cornejo
DOI: https://doi.org/10.1007/978-1-4842-4137-0
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Roger Cornejo 2018
Softcover ISBN: 978-1-4842-4136-3Published: 07 December 2018
eBook ISBN: 978-1-4842-4137-0Published: 06 December 2018
Edition Number: 1
Number of Pages: XXI, 224
Number of Illustrations: 83 b/w illustrations
Topics: Database Management