go testでベンチマークを取ってpprofで時間がかかっている箇所を調べる - sambaiz-net
package cal import ( "math/big" ) var cache = map[int]*big.Int{} func resetCache() { cache = map[int]*big.Int{} } func Fibonacci(n int) *big.Int { if c := cache[n]; c != nil { return c } ret := new(big.Int) before := big.NewInt(1) for i := 1; i < n; i++ { tmp := new(big.Int).Add(ret, before) before = ret ret = tmp cache[i] = ret } cache[n] = ret return ret } package cal import ( "math/big" "testin
Profiling and optimizing Go web applications - Artem Krylysov
Note This post was updated on 2021-04-25. Go has a powerful built-in profiler that supports CPU, memory, goroutine and block (contention) profiling. Enabling the profiler # Go provides a low-level profiling API runtime/pprof, but if you are developing a long-running service, it's more convenient to work with a high-level net/http/pprof package. All you need to enable the profiler is to import net/
research!rsc: How To Build a User-Level CPU Profiler
When I spent a summer as a Google intern in 2006, one of the many pleasant surprises was Google’s pprof tool, which makes profiling a C++ program’s CPU and memory usage incredibly easy. It had already been open sourced, and when I returned to grad school, I incorporated pprof into my standard development toolbox when writing C programs. Later, when I was back at Google working on Go, implementing
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pprof package - net/http/pprof - Go Packages
