To create a CPU profile and analyze CPU usage using runtime.CPUProfile(), you can follow these steps:
Step 1: Import the required packages:
import (
"os"
"runtime"
"runtime/pprof"
)
Step 2: Create a function to start profiling and save the profile to a file:
func startCPUProfile() (*os.File, error) {
file, err := os.Create("cpu_profile.prof") // Name the profile file as desired
if err != nil {
return nil, err
}
if err := pprof.StartCPUProfile(file); err != nil {
return nil, err
}
return file, nil
}
Step 3: Create a function to stop profiling and close the profile file:
func stopCPUProfile(file *os.File) {
pprof.StopCPUProfile()
_ = file.Close()
}
Step 4: Call the start and stop functions during your program's execution:
func main() {
file, err := startCPUProfile()
if err != nil {
log.Fatal(err)
}
defer stopCPUProfile(file)
// Rest of your code goes here
}
Step 5: Run your program. While the program is running, it will generate a CPU profile file.
Step 6: Analyze the CPU profile using the go tool pprof command-line tool. Run the following command in your terminal:
go tool pprof -http=localhost:8080 cpu_profile.prof
This will start a local web server on http://localhost:8080 where you can access the CPU profile analysis.
You can then use the web-based interface to explore and analyze the CPU profile to identify any performance bottlenecks or areas of high CPU usage in your code.