12/13/2023 0 Comments Php code profiler![]() The file will be stored in path specified by your xdebug.output_dir setting, and it will be named. Huge files will take more time to load and process.Īfter opening the application in your web browser, stop "debugging" in VS Code ( Shift+F5) and get ready for inspecting the profile file. Be aware that if you do more requests, the profiling file might get larger and larger. In our case it would be or any other page in your application. In your web browser, open the URL you'd like to profile. You'll see the following in your Debug Console panel: Now run the project using our newly created launch setting - either press F5 or click Start Debugging command. The setting "profile": true instructs debugger to configure additional Xdebug settings for you.Īfter this change, you should see the following drop-down menu in your Run and Debug view: public - change those values as you need. The configuration above runs development PHP server on port 8888 with the web root in. "name": "Launch Built-in server & Profile", We'll create the launch configuration that Launches Development PHP Server with Profiling enabled: You'll see something like the following:Įither open or create. Launch Visual Studio Code, and Open Folder with your PHP project. Be sure, the directory exists, and it's writable. Also you should have at least a GB of free space in there. Then we'll need to ensure, the xdebug.output_dir directive is set to a writable directory. Optionally, make sure you have zlib PHP extension enabled - this makes your profile files significantly smaller.Verify you have the Xdebug extension by running php -v or checking phpinfo().if you don't, follow the link and install the extension for your platform. You already have if you're debugging your code, or you're already profiling. In order to collect the profiling data (efficiently), you need a PHP extension that does it from the inside of the runtime - the Xdebug extension. Imagine there is a small function but called a hundred thousand times per every request - it might be a good idea to do some caching, optimize this one function, or re-design the entire algorithm. You might also find interesting looking into the call counts. they consume the most time doing something. This will tell us, what parts of the program are "hot" i.e. we'll be collecting time consumption and call graph of invoked PHP functions.Īfter collecting the data, we will have to visualize them, inspect, and look into so-called " hot paths". ![]() In this article, we'll be talking about Performance Profiling of PHP code - i.e. There are many kinds of profiling in any case it's collecting of real-time data about execution of your application. The following tutorial assumes, you have PHP and you know how to configure it. You might see interesting results and improve the live of your users, and the live of your Web Server. This technique lets you know how much time all the functions in the code take, and how many times they've been called. In both cases, it is a good practice to do performance profiling. Your PHP application or a website might be running fluently, or you might see it takes some time to load. ![]()
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