Traps and avoidance of golang function debugging and analysis tools

Pitfalls 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() {
    // 启用 pprof，端口 6060
    go func() {
        log.Println(http.ListenAndServe("localhost:6060", nil))
    }()

    // 模拟要分析的应用程序
    for i := 0; i < 1000000; i++ {
        // 这里放要分析的代码
    }
}

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 {
        // 这里可以分析记录的信息
    }
}

func main() {
    go func() {
        for {
            traceFunc()
            time.Sleep(time.Second)
        }
    }()

    // 模拟要分析的应用程序
    for i := 0; i < 1000000; i++ {
        // 这里放要分析的代码
    }
}

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:

# 启动 trace 服务器
go tool trace -start -server=0.0.0.0:6060

# 运行要分析的应用程序
go run main.go

# 停止跟踪并生成报告
go tool trace -stop

The above is the detailed content of Traps and avoidance of golang function debugging and analysis tools. For more information, please follow other related articles on the PHP Chinese website!