When you deploy an app to production servers, you may experience some database problems as your data grows. Some tools can help you debug and solve your problems, like MysqlTuner, Percona, etc. In this article, we’re going to explore the Yahoo MySql performance analyzer and see what the main features are.
The analyzer uses SNMP when available, so it’s a good idea to have it installed on your database server.
Because this is a JAVA application, make sure you have JDK installed before proceeding. It requires version 8 to run, but version 7 is fine since it doesn’t use any of version 8’s features. You can read more in the readme file in the repo.
I have a demo application on my Vagrant box, and I will install the analyzer in the root of my application. Let’s start by logging into our machine using ssh and cloning the repository.
vagrant ssh git clone firstname.lastname@example.org:yahoo/mysql_perf_analyzer.git myperf
To build the application, you need to run the
mvn clean package command. After the build process is done, you’ll find a
myperfserver-server.zip file under the
perfJettyServer/target directory. Move that file to a new directory on your server and extract it. The resulting output contains
stop_myperf.sh scripts to manage the server. Let’s use the start script to launch the application. You can read more about the available options in the repo.
After starting the server, open your browser using your machine hostname and the specified port (
vaprobash.dev:9092/myperf). You can log in with the default admin account (username: myperf, password: change).
The users management page can be accessed from the top left menu. It allows you to add, edit, delete and confirm users, and you can use it to change the default admin password.
The main dashboard shows the current status of your databases along with other details like CPU usage, running threads, dead locks, etc.
The second tab on the dashboard shows alerts from the last 24 hours. We will talk more about alerts and how to configure them later.
Configuring DB Groups
To monitor a database or a set of databases, you can create a new database group from the top left menu and select
DB Info. After filling the inputs you can visit the dashboard to see your databases status. You can restrict the database access to a certain group of users using the
Access Control tab.
You can do real time monitoring of your system resources by accessing the
Top page from the menu. If you ever used the
top command on linux, this basically does the same thing for your databases. It shows your memory, CPU usage, DB connections, network transfers, etc. You can start and stop the process at any time using controls at the top of the page.
You can also use the SNMP program when available, but check the box to enable it before starting the process.
If you’re a reporting fan and you prefer working with charts to compare your database server performance over time, the charts tab provides a charting tool along with date range selection to help you understand your server performance. You can also compare different server metrics like memory usage, DB connections, etc.
Exploring Database Meta Data
Although we are used to exploring database meta data from our database management apps like SequelPro, Yahoo performance analyzer provides a simple way to explore database and table meta data, like columns, views, indexes, triggers, etc.
Probably the most used feature in performance analysis is
Profiling Queries, since it helps a lot in detecting slow queries and explaining them. It also shows data about memory usage, execution time, cache usage, etc.
Alerts are an indispensable feature in monitoring your database performance. Basically, you set a rule that defines when your system is (or will be) experiencing problems.
User Defined Alerts menu at top of the page, you can create an alert using predefined metrics. As an example, I will use the
SNMP._.MEMAVAILREAL metric, which defines the available memory and I will set the alert to trigger if it went below 1000KB.
You can also create alerts based on a database query. We can create an alert to trigger when the list of queued jobs is higher than 100.
After creating your alerts, you need to move to the
subscribers tab on the same page and select your DB Group and check alerts that you want to attach.
Now, if you navigate to the
Alerts page, you’ll find a list of errors from the last 24 hours, and you can select a date range to see previously occurred errors.
This article was a brief introduction to the main features of the Yahoo performance analyzer, and there’s still a lot to discover. The project is still being developed – you can contribute on Github.
A more advanced post covering the analyzer’s usage on a real database is coming soon!
If you have any question or comments, please post them below.
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