![]() ![]() For example, in the following illustration shows that line number 54 in the index.php script was visited 3 times, the application spent 1.4276 ms on average executing this line, the total time of the execution was 4.282 ms, minimum time spent was 1.273ms and maximum time was 1. The data in each column of the PHP profiler report can be sorted, providing an easy way to view the PHP performance profile of your application from any perspective. The Upper horizontal bar represents the total time and the lower bar represents time spent on each line when it is executed. The most time consuming line is set at 100% and the rest of the times are shown as fractions of the longest time interval. In addition to this PHP application performance data, there is a chart column, which displays a graphical presentation of relative execution time of every line of PHP code. ![]() Maximum time spent in each line of code in PHP script.Minimum time spent in each line of code in PHP script.Total execution time of each line of code in PHP script.Average execution time for each line of code in PHP script.The number of times or 'hits' that each line of code in PHP script was run As someone working on tracing/profiling extensions myself I have to say this is very nice The live output.The profiler report displayed in the PHP Profiler output table show: with SIGSTOP ), collect PHP stack via memory inspection and the continue the process (e.g. What Im looking for: sampling profiler that can attach to PHP process by PID and periodically stop the process (e.g. The database machine has been verified to still have lots of idle. The PhpEd PHP Profiler tells you which PHP scripts are the most time consuming. The PHP code is optimized to spend CPU over talking to the database. (Viewing PHP profiler results - Click to Enlarge) How does the data above changes when you run through the application multiple times, under heavy load?Ī PHP Profiler can present all of this information in easy to read, graphical form, allowing you to find and fix potential PHP application performance problem areas.What are the lines of code, function calls and class methods which are most frequently visited?.What lines of code, function calls and class methods is the application spending most of the time?.Which PHP scripts take the longest time to run?.The first step in tuning of the PHP Application's performance is finding the bottlenecks. ![]() You'll learn how to identify which lines of PHP code are the most time consuming, which lines of code are most frequently visited, and many other important benchmarking and optimization techniques that will help ensure that your programs run fast. This tutorial covers how to use a PHP profiler to improve application performance. The problem is that PHP applications always run super fast when there are just 3 records in your database and you're running on localhost – these assumptions are not valid for real world applications. Nobody aspires to write slow applications, yet there are a lot of really slow Web applications out there! Unfortunately, the performance of an application often takes a back seat during development and sluggish application performance only becomes a critical problem after it's deployed to the Web. ![]()
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