How to optimize performance using HTTP file upload in Golang?

Best practices for optimizing Golang HTTP file upload performance: Set reasonable memory limits: r.MaxMemory = 32 << 20 // 32MB Use temporary files when storing large files: if err := r.ParseMultipartForm(32 << 20); err != nil { ... } Enable Goroutine concurrent processing: type multipartFile struct { ... }, func saveFilesConcurrently(files []multipartFile) { ... } Use compression algorithm to reduce file size :import "github.com/klauspost/compress/gzip", func compressImage(file multipartFile) { ... }Use CDN, cached response and code optimization

How to use HTTP file upload to optimize performance in Golang

Practice case: Optimizing image upload

Set reasonable memory limits

r.MaxMemory = 32 << 20 // 32MB

Use temporary files to store large files

if err := r.ParseMultipartForm(32 << 20); err != nil {
    return // 处理错误
}
for _, file := range r.MultipartForm.File["images"] {
    f, err := os.CreateTemp("", "image-*.jpg")
    if err != nil {
        return // 处理错误
    }
    if _, err := io.Copy(f, file); err != nil {
        return // 处理错误
    }
    f.Close()
    // ...
}

Enable Goroutine concurrent processing

type multipartFile struct {
    *multipart.FileHeader
    *os.File
}

func saveFilesConcurrently(files []multipartFile) {
    var wg sync.WaitGroup
    for _, file := range files {
        wg.Add(1)
        go func(f multipartFile) {
            defer wg.Done()
            // ...
        }(file)
    }
    wg.Wait()
}

Use compression algorithm to reduce File Size

import "github.com/klauspost/compress/gzip"

func compressImage(file multipartFile) (*os.File, error) {
    compressed, err := os.CreateTemp("", "image-*.jpg.gz")
    if err != nil {
        return nil, err
    }
    c := gzip.NewWriter(compressed)
    if _, err := io.Copy(c, file); err != nil {
        return nil, err
    }
    c.Close()
    return compressed, nil
}

Additional Optimization Tips

• Use a CDN: Storing static files on a CDN can reduce server load.
• Cache responses: Use the Cache-Control header to cache responses that typically do not change.
• Code Optimization: Use performance analysis tools to identify and eliminate bottlenecks.

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