英文:
golang profile with pprof, how to get hit count not duration?
问题
如何获取类似以下的命中次数：
(pprof) top
总计：2525个样本
298 11.8% 11.8% 345 13.7% runtime.mapaccess1_fast64
268 10.6% 22.4% 2124 84.1% main.FindLoops
而不是持续时间，如下所示：
(pprof) top
总计3080ms中的2220ms (72.08%)
丢弃了72个节点 (累计时间 ≤ 15.40ms)
显示111个节点中的前10个 (累计时间 ≥ 60ms)
flat flat% sum% cum cum%
1340ms 43.51% 43.51% 1410ms 45.78% runtime.cgocall_errno
环境：我正在使用golang1.4，添加以下代码。
defer pprof.StopCPUProfile()
f, err := os.Create("innercpu.pprof")
if err != nil {
fmt.Println("错误：", err)
}
pprof.StartCPUProfile(f)
英文:
how to get hit count like:
(pprof) top
Total: 2525 samples
298 11.8% 11.8% 345 13.7% runtime.mapaccess1_fast64
268 10.6% 22.4% 2124 84.1% main.FindLoops
not, durations like:
(pprof) top
2220ms of 3080ms total (72.08%)
Dropped 72 nodes (cum <= 15.40ms)
Showing top 10 nodes out of 111 (cum >= 60ms)
flat flat% sum% cum cum%
1340ms 43.51% 43.51% 1410ms 45.78% runtime.cgocall_errno
env: I using golang1.4, add below codes.
defer pprof.StopCPUProfile()
f, err := os.Create("innercpu.pprof")
if err != nil {
fmt.Println("Error: ", err)
}
pprof.StartCPUProfile(f)
答案1
得分: 6
你可以使用go tool pprof -callgrind -output callgrind.out innercpu.pprof将收集到的性能分析数据生成callgrind数据。然后你可以使用qcachegrind/kcachegrind来可视化这些数据。它将显示调用次数。
英文:
You can use go tool pprof -callgrind -output callgrind.out innercpu.pprof to generate callgrind data out of your collected profiling data. Which you can then visualise with qcachegrind/kcachegrind. It'll display call counts.
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