


How to optimize network requests in Golang technical performance optimization?
How to optimize network requests to improve performance? Use goroutine to execute network requests in parallel to avoid blocking the main thread. Reuse HTTP connections to reduce handshake and connection establishment overhead. Use buffer pipes to buffer network requests to prevent goroutine blocking.
#How to use Go to optimize network requests to improve performance
Optimizing network requests is crucial to improving the performance of your application. Go provides several effective techniques to optimize network requests.
goroutine
Goroutine is a concurrent lightweight thread. By using goroutines, network requests can be executed in parallel without blocking the main thread.
Example of using goroutine to optimize network requests:
import ( "net/http" ) func main() { for url := range makeUrlList() { go func(url string) { _, err := http.Get(url) if err != nil { // 处理错误 } }(url) } }
HTTP connection reuse
HTTP connection reuse allows reuse between multiple requests The underlying TCP connection. This reduces handshake and connection establishment overhead.
Example of using connection reuse to optimize network requests:
import ( "net/http" ) func main() { client := &http.Client{ Transport: &http.Transport{ DisableKeepAlives: true, }, } for url := range makeUrlList() { _, err := client.Get(url) if err != nil { // 处理错误 } } }
Buffer pipe
The buffer pipe can buffer network requests and prevent goroutine from blocking.
Example of using buffered pipes to optimize network requests:
import ( "net/http" ) func main() { ch := make(chan string, 10) go func() { for url := range ch { _, err := http.Get(url) if err != nil { // 处理错误 } } }() for url := range makeUrlList() { ch <- url } }
Practical case
Optimizing website crawling tool
Using goroutine to crawl web pages in parallel can significantly improve the performance of website crawling tools. In addition, reusing connections reduces the overhead of establishing new connections.
Optimize API requests
Using buffered pipes can reduce the wait time of API requests and increase overall throughput. Proper buffer sizing can be optimized based on your needs.
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