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Yahoo! MySQL Performance Analyzer: In-depth exploration of database performance
This article will explore in-depth Yahoo! MySQL Performance Analyzer, a powerful tool that comprehensively analyzes the performance of MySQL databases, including real-time monitoring and detailed reporting, so as to efficiently identify and resolve performance issues.
Main advantages:
Installation and configuration:
Analyzer uses SNMP when it is available, so it is best to install SNMP on the database server. Since this is a Java application, make sure you have JDK 8 installed before continuing (JDK 7 is also OK, but will not use any of JDK 8's features).
The following steps demonstrate the process of installing the analyzer on a Vagrant virtual machine:
git clone git@github.com:yahoo/mysql_perf_analyzer.git myperf
mvn clean package
Build the application. myperfserver-server.zip
file to a new directory on the server. start_myperf.sh
script to start the application. User Management and Dashboard:
After starting the server, open browser access using the host name and the specified port (for example: vaprobash.dev:9092/myperf
). Default administrator account (username: myperf, password: change).
The main dashboard displays the current status of the database and other detailed information such as CPU usage, running threads, deadlocks, etc. The second tab shows alerts for the past 24 hours.
Database group configuration, process monitoring and diagrams:
You can create new database groups to monitor a single or multiple databases. The "Top" page provides real-time monitoring of system resources, similar to the Linux top
command.
The Charts tab provides charting tools for comparing the performance of database servers over time.
Database metadata browsing, query explanation and alerts:
Analyzer provides an easy way to browse database and table metadata such as columns, views, indexes, triggers, etc.
Alarm function allows you to set rules to define when (or will) problems occur in the system. You can create alerts using predefined metrics or database queries.
Summary:
This article briefly introduces the main functions of Yahoo! MySQL performance analyzer. The project is still under development. You are welcome to contribute code on GitHub. A subsequent article will introduce more advanced usage of using the analyzer in a real database environment.
FAQs:
(The FAQ part is omitted here because it is already included in the original text, just adjust the language style.)
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