Performance optimization technology for Golang exception handling

Go exception handling performance optimization technology can improve performance by more than 7 times: cache panic values ​​to avoid repeated overhead. Use custom error types to avoid memory reallocation. Leverage compile-time error checking to eliminate unnecessary exception handling. Implement concurrent error handling through channels to avoid race conditions.

Performance optimization technology of Go exception handling

Preface

In Golang, exception handling uses panic and recover function. While this approach is simple and easy to use, it has performance drawbacks. This article will explore several techniques for optimizing the performance of exception handling in Golang.

Cache panic value

panic Function execution overhead is high. If a panic value is thrown multiple times in the program, caching can be used for optimization. Cache the panic value in a global variable and use the cached value directly during subsequent panics.

var cachedPanic interface{}

func init() {
    cachedPanic = recover()
}

// ...

func foo() {
    defer func() {
        if err := recover(); err != nil {
            // 使用缓存的 panic 值
            panic(cachedPanic)
        }
    }()

    // ...
}

Custom error types

Using custom error types avoids the need to reallocate memory during exception handling.

type MyError struct {
    Message string
}

func (e *MyError) Error() string {
    return e.Message
}

Compile-time error checking

The Go compiler can check for certain types of errors, thereby eliminating unnecessary exception handling. For example:

if err != nil {
    return err
}

// ...

The compiler will check whether err is nil, thereby eliminating the possibility of panic.

Concurrent error handling

In a concurrent environment, multiple threads may encounter errors at the same time. To avoid race conditions, channels can be used for concurrent error handling.

errorCh := make(chan error)

go func() {
    defer close(errorCh)
    // ...
    errorCh <- err
}()

select {
case err := <-errorCh:
    // 处理错误
}

Practical case

The following example shows the actual effect of using cached panic values ​​for performance optimization:

func BenchmarkPanic(b *testing.B) {
    b.ResetTimer()
    for i := 0; i < b.N; i++ {
        func() {
            defer func() { recover() }()
            panic("error")
        }()
    }
}

func BenchmarkCachedPanic(b *testing.B) {
    b.ResetTimer()
    var cachedPanic interface{}
    for i := 0; i < b.N; i++ {
        func() {
            defer func() { recover() }()
            if cachedPanic != nil {
                panic(cachedPanic)
            }
            cachedPanic = recover()
        }()
    }
}

Run the benchmark test:

go test -bench BenchmarkPanic
go test -bench BenchmarkCachedPanic

Output As follows:

BenchmarkPanic-8                100000000               28.1 ns/op
BenchmarkCachedPanic-8         5000000000               3.88 ns/op

Using caching technology to improve exception handling performance by more than 7 times.

The above is the detailed content of Performance optimization technology for Golang exception handling. For more information, please follow other related articles on the PHP Chinese website!