![]() Self shows how much time was spent only inside a function itself without taking into account its child nodes. Total shows how much time was spent inside a function and the functions it called. The call trees use the Total and Self metrics that present the number of ticks in a function or its ratio to the total execution time: Understanding the metrics in the call trees With these call trees you can analyze the application execution from two different points of view: on the one hand, which calls were time consuming ("heavy"), and on the other hand, "who called whom". P圜harm creates a separate tab with the name of the selected log file.īased on the collected profiling data, P圜harm builds three call trees and displays each of them in a separate pane. Then select the relevant V8 log file isolate. To open and analyze some previously saved profiling data, go to Help | Find Action (or press Ctrl+Shift+A), start typing V8, and select Analyze V8 Profiling Log from the list. Tabs that were opened automatically are named after the run configurations that control execution of the applications and collecting the profiling data. If the window is already open and shows the collected data for another session, P圜harm opens a new tab. When you stop your application, P圜harm automatically opens the V8 Profiling tool window and shows the collected profiling data in it. When the scenario that you need to profile is executed, stop the process by clicking on the toolbar. Select the run configuration from the list on the main toolbar and click or select Run | Run from the main menu. In the Log folder field, specify the path to the folder where the recorded logs will be stored, log files are named isolate. Switch to the V8 Profiling tab and select the Record CPU profiling info checkbox. ![]() ![]() In the Edit Configurations dialog that opens, click the Add button ( ) on the toolbar and select Node.js from the list.įrom the list, select the Node.js run configuration to activate CPU Profiling in or create a new configuration as described in Running and debugging Node.js. Alternatively, select Edit Configurations from the list on the toolbar. To invoke V8 CPU profiling on application start, you need to specify additional settings in the Node.js run configuration.įrom the main menu, select Run | Edit Configurations. Measurements are made not only for the work of your code, but also for the activities performed by the engine itself, such as compilation, calls of system libraries, optimization, and garbage collection. ![]() The profiler takes snapshots at certain intervals that are called ticks. Node.js CPU profiling in P圜harm is based on the V8 built-in CPU profiler, which provides information about the execution of your code and the behavior of the JavaScript engine itself including garbage collection cycles, compilation and re-compilation, and code optimization. For more details about plugins, see Managing plugins.ĬPU profiling helps you get a better understanding of which parts of your code take up the most CPU time, and how your code is executed and optimized by the V8 JavaScript engine. Press Ctrl+Alt+S to open the IDE settings and select Plugins. Make sure the Node.js plugin is enabled in the settings. You can also open and explore snapshots captured in Google Chrome DevTools for your client-side code. With P圜harm, you can capture and analyze CPU profiles and heap snapshots for your Node.js applications using V8’s sample-based profiler.
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