How Can I Efficiently Maximize Concurrent HTTP Requests in Go While Avoiding System Resource Exhaustion?

Effective Maximization of Concurrent HTTP Requests in Go

In your code, you attempted to concurrently send 1 million HTTP requests, but encountered errors due to file descriptor limitations. Here's how to effectively 'flood' your laptop with requests within system constraints:

Modified Code Using Channel-Based Concurrency:

<br>package main</p>
<p>import (</p>
<pre class="brush:php;toolbar:false">"flag"
"fmt"
"log"
"net/http"
"runtime"
"sync"
"time"

)

var (

reqs int
max  int

)

func init() {

flag.IntVar(&reqs, "reqs", 1000000, "Total requests")
flag.IntVar(&max, "concurrent", 200, "Maximum concurrent requests")

}

type Response struct {

*http.Response
err error

}

func dispatcher(reqChan chan *http.Request) {

defer close(reqChan)
for i := 0; i < reqs; i++ {
    req, err := http.NewRequest("GET", "http://localhost/", nil)
    if err != nil {
        log.Println(err)
    }
    reqChan <- req
}

}

func workerPool(reqChan chan http.Request, respChan chan Response, wg sync.WaitGroup) {

t := &http.Transport{}
for i := 0; i < max; i++ {
    go worker(t, reqChan, respChan, wg)
}

}

func worker(t http.Transport, reqChan chan http.Request, respChan chan Response, wg *sync.WaitGroup) {

for req := range reqChan {
    resp, err := t.RoundTrip(req)
    r := Response{resp, err}
    respChan <- r
}
wg.Done()

}

func consumer(respChan chan Response) (int64, int64) {

var (
    conns int64
    size  int64
)
for conns < int64(reqs) {
    select {
    case r, ok := <-respChan:
        if ok {
            if r.err != nil {
                log.Println(r.err)
            } else {
                size += r.ContentLength
                if err := r.Body.Close(); err != nil {
                    log.Println(r.err)
                }
            }
            conns++
        }
    }
}
return conns, size

}

func main() {

flag.Parse()
runtime.GOMAXPROCS(runtime.NumCPU())

reqChan := make(chan *http.Request, max)
respChan := make(chan Response)
wg := sync.WaitGroup{}
wg.Add(max)

start := time.Now()
go dispatcher(reqChan)
go workerPool(reqChan, respChan, &wg)
conns, size := consumer(respChan)
wg.Wait()
took := time.Since(start)
ns := took.Nanoseconds()
av := ns / conns
average, err := time.ParseDuration(fmt.Sprintf("%d", av) + "ns")
if err != nil {
    log.Println(err)
}
fmt.Printf("Connections:\t%d\nConcurrent:\t%d\nTotal size:\t%d bytes\nTotal time:\t%s\nAverage time:\t%s\n", conns, max, size, took, average)

}

Explanation:

• Dispatcher: Creates a request channel and sends HTTP requests to it.
• Worker Pool: Creates a pool of goroutines that concurrently consume requests from the request channel and send responses to the response channel.
• Consumer: Waits for responses on the response channel and handles them, counting the connections and total size.

Benefits of Modifications:

• Channel-Based Concurrency: Avoids file descriptor limits by using channels to pass data between goroutines.
• Worker Pool: Limits the number of goroutines to the maximum concurrency specified, preventing resource exhaustion.
• Synchronization: Uses a sync.WaitGroup to ensure that all goroutines complete before exiting, providing a clean exit.
• Response Handling: Counts the number of connections and the total size of responses to provide metrics on resource usage.

By following these modifications, you can effectively 'flood' your laptop with as many HTTP requests as possible within the limitations of your system's resources.

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