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php editor Xigua noticed that when using Go language to make multi-threaded requests, sometimes it is not possible to obtain high request per second (RPS) speed. Although the Go language is excellent at concurrency processing, in some cases, multi-threaded requests are not very efficient. This may be due to network latency, resource competition, etc. In this article, we will explore this problem and provide some possible solutions to improve the RPS of multi-threaded requests in Go language.
I'm trying to write a multi-threaded client to test my server. When I use 2 goroutines, everything is fine, I get 50k rps and my cpu load is normal, but when I create more than 2 goroutines, the rps drops to 3k but my cpu load exceeds. Although when I run the client code multiple times (like running the same code on 3 consoles at the same time) I get more rps like 80k rps.
This is my client code
package main import ( "fmt" "net/http" "os" "sync" "time" ) func main() { requesturl := fmt.sprintf("http://localhost:%d/home", 3333) var wg sync.waitgroup wg.add(4) req, err := http.newrequest(http.methodget, requesturl, nil) if err != nil { fmt.printf("client: could not create request: %s\n", err) os.exit(1) } for i := 0; i < 4; i++ { go func() { defer wg.done() client := http.client{ timeout: 30 * time.second, } for { client.do(req) } }() } wg.wait() }
This is my server side code
package main import ( "errors" "fmt" "github.com/prometheus/client_golang/prometheus" "github.com/prometheus/client_golang/prometheus/promhttp" "log" "net/http" "os" "sync" ) // log handling func openlogfile(path string) (*os.file, error) { logfile, err := os.openfile(path, os.o_wronly|os.o_append|os.o_create, 0644) if err != nil { return nil, err } return logfile, nil } // variables of counter in metric var okstatuscounter = prometheus.newcounter( prometheus.counteropts{ name: "ok_request_count", help: "number of 200", }, ) func listener(serverlog *log.logger) http.handlerfunc { return func(w http.responsewriter, r *http.request) { //metric okstatuscounter.inc() w.writeheader(http.statusok) } } func main() { //metric prometheus.mustregister(okstatuscounter) //log handling filesimpleserverlog, err := openlogfile("simpleserver/simpleserverlog.log") if err != nil { log.fatal(err) } serverlog := log.new(filesimpleserverlog, "[simple server]", log.lstdflags|log.lshortfile|log.lmicroseconds) var wg sync.waitgroup wg.add(1) //server: go func() { defer wg.done() mux := http.newservemux() mux.handlefunc("/home", listener(serverlog)) mux.handle("/metrics", promhttp.handler()) server := http.server{ addr: fmt.sprintf(":%d", 3333), handler: mux, } if err := server.listenandserve(); err != nil { if !errors.is(err, http.errserverclosed) { serverlog.printf("error running http server: %s\n", err) } } }() wg.wait() }
At first I thought go might be using one port for all client connections, but when I checked it with netstat, it was using multiple ports. I tried searching but couldn't find a suitable answer
I tried sync.mutex:
var mu sync.Mutex ... for i := 0; i < 1000; i++ { go func() { defer wg.Done() client := http.Client{ //Timeout: 30 * time.Second, } for { mu.Lock() _, err := client.Do(req) if err != nil { clientLog.Printf("client: error making http request: %s\n", err) os.Exit(1) } mu.Unlock() } }() } wg.Wait() ...
With the above changes, I got 13k rps and my cpu load was normal, but it was simply not enough
Since you are only sending requests to one host, http The default value of the transport is not suitable for you. It is best to set the parameters manually according to your situation:
t := http.DefaultTransport.(*http.Transport).Clone() t.MaxIdleConns = 100 t.MaxConnsPerHost = 100 t.MaxIdleConnsPerHost = 100 httpClient = &http.Client{ Timeout: 10 * time.Second, Transport: t, }
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