Performance Profiling Skill
Using pprof for performance analysis.
When to Use
Use when identifying performance bottlenecks.
CPU Profiling
# During tests
go test -cpuprofile=cpu.out -bench=.
# Analyze
go tool pprof cpu.out
# Web interface
go tool pprof -http=:8080 cpu.out
Memory Profiling
# During tests
go test -memprofile=mem.out -bench=.
# Analyze
go tool pprof mem.out
HTTP Endpoint
import _ "net/http/pprof"
func main() {
go func() {
log.Println(http.ListenAndServe("localhost:6060", nil))
}()
// your code
}
Access profiles at:
http://localhost:6060/debug/pprof/http://localhost:6060/debug/pprof/heaphttp://localhost:6060/debug/pprof/goroutine
pprof Commands
(pprof) top # Top functions
(pprof) list # Source code view
(pprof) web # Graph view
(pprof) pdf # PDF output
Best Practices
- Profile in production-like conditions
- Profile before optimizing
- Focus on hot paths
- Check both CPU and memory
- Use flamegraphs for visualization
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