Traps and avoidance of golang function debugging and analysis tools
May 06, 2024 pm 03:21 PMPitfalls and Avoidances of Go Function Debugging and Analysis Tools
There are many useful tools when debugging and analyzing Go applications Available, for example: pprof
, gotrace
, and go tool trace
. However, there are pitfalls in the use of these tools that need to be recognized and avoided to obtain the most accurate and useful results.
pprof trap
- #Improper sampling rate setting: A sampling rate that is too high may cause application performance to degrade, while a sampling rate that is too low may cause The sampling rate may miss important information.
-
Function inlining is not disabled: Function inlining can reduce sampling accuracy, resulting in a lack of visibility into internal function calls. Inlining can be disabled using the
-noinlining
flag. -
Insufficient sampling time: Give
pprof
Sufficient time to collect enough data is critical for accurate analysis.
Actual case:
import ( "log" "net/http" "runtime/pprof" ) func main() { // 啟用 pprof,端口 6060 go func() { log.Println(http.ListenAndServe("localhost:6060", nil)) }() // 模擬要分析的應(yīng)用程序 for i := 0; i < 1000000; i++ { // 這里放要分析的代碼 } }
gotrace trap
- Improper activation method:
SetTraceProfile
should not be called in the application's main goroutine as it can deadlock the application. - File size limit:
SetTraceProfile
The generated file may be large, so you need to ensure that the file system has enough space. - Complex function calls:
gotrace
Performance on complex or recursive function calls may be poor, resulting in deadlocks or hangs.
Practical case:
import ( "fmt" "runtime" "time" ) func traceFunc() { trace := runtime.GoroutineProfile(runtime.StackRecord{}) if trace != nil { // 這里可以分析記錄的信息 } } func main() { go func() { for { traceFunc() time.Sleep(time.Second) } }() // 模擬要分析的應(yīng)用程序 for i := 0; i < 1000000; i++ { // 這里放要分析的代碼 } }
go tool trace trap
- Complex settings : Using
go tool trace
requires configuring the trace server, which may be cumbersome. - Performance overhead:
go tool trace
will bring certain performance overhead to the application. - Poor event selection: When selecting events to track, you need to weigh the performance cost against the value of the information collected.
Practical case:
# 啟動 trace 服務(wù)器 go tool trace -start -server=0.0.0.0:6060 # 運(yùn)行要分析的應(yīng)用程序 go run main.go # 停止跟蹤并生成報(bào)告 go tool trace -stop
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