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Go language automated performance testing solution: using Vegeta and GoConvey framework. The solution consists of the following steps: Use Vegeta to create an attack or load test. Use GoConvey for BDD testing to verify that the server response is 200 OK. Use Vegeta's Histogram to measure whether request latency is less than 500 milliseconds with a 95% probability.
Introduction
Performance testing is important to ensure that the code performs under high load Stability and responsiveness are crucial. As the Go language continues to grow in size and complexity, automated performance testing becomes even more important. This article will introduce how to use Go language to implement automated performance testing.
Tools
Practical Case
Let’s build a simple HTTP server and performance test it using Vegeta and GoConvey.
Server code
// server.go package main import ( "fmt" "net/http" ) func main() { http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { fmt.Fprintf(w, "Hello, World!") }) http.ListenAndServe(":8080", nil) }
Test code
// test.go package main import ( "fmt" "testing" "time" . "github.com/smartystreets/goconvey/convey" "github.com/tsenart/vegeta/lib" ) func TestHTTPServer(t *testing.T) { go main() Convey("The HTTP server should", t, func() { targeter := vegeta.NewStaticTargeter(vegeta.Target{"localhost:8080", "http"}) attack := vegeta.Config{ Targets: targeter, Rate: 30, Duration: 10 * time.Second, Connections: 20, } results := vegeta.Attack(attack) Convey("respond with 200 OK", func() { var successCount uint64 for res := range results { if res.Code == 200 { successCount++ } } defer results.Close() So(successCount, ShouldBeGreaterThan, 0) }) Convey("take less than 500ms per request", func() { var latencyHist vegeta.Histogram for res := range results { latencyHist.Add(res.Latency) } defer results.Close() p95 := latencyHist.Percentile(95) So(p95, ShouldBeLessThan, 500*time.Millisecond) }) }) }
How to run
go run server.go
go test
Conclusion
Using Vegeta and GoConvey, we can easily create automatable performance tests. These tests provide a scalable and readable mechanism to verify the performance of your code and ensure it operates properly under heavy load.
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