PPROF FOR GOLANG is a Visual Studio Code extension specifically designed for Go developers, aiming to simplify the performance profiling process. By integrating Go's pprof tool into VS Code, developers can view and analyze performance data directly within the editor, eliminating the need for cumbersome command-line operations. Whether it's CPU profiling, memory profiling, or Goroutine profiling, PPROF FOR GOLANG provides an intuitive graphical interface to help developers quickly identify performance bottlenecks.
One-Click Performance Profiling
Start profiling your Go program with a simple click, without manually entering command-line parameters.
Graphical Display of Analysis Results
Visualize performance data generated by pprof in the form of charts, including flame graphs, call trees, memory allocation graphs, and more, helping developers understand program performance more intuitively.
Multi-Dimensional Analysis Support
Supports various types of performance analysis, including:
CPU Profiling
Memory Profiling
Goroutine Analysis
Blocking Analysis
Mutex Analysis
Real-Time Data Updates
Update performance data in real-time while the program is running, allowing developers to dynamically monitor program performance.
Use Cases
Suitable for programs that require long-running execution, such as web services. For simple performance checks, the VS Code Go extension already provides the necessary tools.
Installation and Usage
Install the Extension
Search for PPROF FOR GOLANG in the VS Code extension marketplace and click to install.
Start Profiling
Open a Go project, press Ctrl + Shift + P to open the command palette and select "Golang: PPROF," or open any Go file and click the "More actions" button in the top-right corner to select "Golang: PPROF."
View Results
Once the analysis is complete, the extension will automatically generate charts. Developers can interactively explore performance data for various functions through the interface.
Feedback and Support
If you encounter any issues or have suggestions while using the extension, please feel free to submit them via the Github Issue Repository. We will address your concerns as soon as possible.
