Introducing Java Profiling via Flame Graphs
I will show some realtime benchmarks and use cases, and demonstrate how MariaDB ColumnStore and ClickHouse can be used for typical OLAP queries." data-share-imageurl="">
In this talk, you'll be introduced to the basic concepts of profiling Java code using perf_events (aka perf). You'll see how to collect stack traces, and how to use Flame Graphs to provide a dynamic visual display for them. This, in turn, allows you to see if your code has room for improvement – and where it could be improved – in an easy and scalable way.
It doesn't matter if you are coding a one-hundred or a one-hundred thousand-line application, the Flame Graph visualizer will make it easy to spot CPU hogs! After checking some basic how-to steps and recipes, I will take a deeper dive into using perf and Flame Graphs, to demonstrate how to make the most of these tools.
Finally, I'll show you examples through use cases that should help you to better understand the purpose behind the workflow and tools.
Agustín joined Percona's Support team in December 2013, after being part of the Administrative team from February 2012. He has previously worked as a Cambridge IT examinations Supervisor and as a Junior BI, SQL & C# developer. He is currently a Computer Analyst, and continues studying to get a Computer Systems Engineer degree at the Universidad de la República, in Uruguay.
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