簡介
日常開發中, 測試是不能缺少的.
Go 標準庫中有一個叫做 testing 的測試框架, 可以用于單元測試和性能測試.
它是和命令 go test 集成使用的.
測試文件是以后綴 _test.go 命名的, 通常和被測試的文件放在同一個包中.
單元測試
單元測試的格式形如:
func TestAbs(t *testing.T) {
got := Abs(-1)
if got != 1 {
t.Errorf("Abs(-1) = %d; want 1", got)
}
}
在 util 目錄下創建一個文件 util_test.go, 添加一個單元測試:
package util
import "testing"
// 普通的測試
func TestGenShortID(t *testing.T) {
shortID, err := GenShortID()
if shortID == "" || err != nil {
t.Error("GenShortID failed")
}
}
然后, 在根目錄下運行 go test -v ./util/, 測試結果如下:
root@592402321ce7:/workspace# go test -v ./util/
=== RUN TestGenShortID
--- PASS: TestGenShortID (0.00s)
PASS
ok tzh.com/web/util 0.006s
性能測試
性能測試的結果形如:
func BenchmarkHello(b *testing.B) {
for i := 0; i b.N; i++ {
fmt.Sprintf("hello")
}
}
在 util_test.go 添加性能測試:
// 性能測試
func BenchmarkGenShortID(b *testing.B) {
for i := 0; i b.N; i++ {
GenShortID()
}
}
運行結果如下(使用 --run=none 避免運行普通的測試函數, 因為一般不可能有函數名匹配 none):
root@592402321ce7:/workspace# go test -v -bench="BenchmarkGenShortID$" --run=none ./util/
goos: linux
goarch: amd64
pkg: tzh.com/web/util
BenchmarkGenShortID-2 507237 2352 ns/op
PASS
ok tzh.com/web/util 1.229s
這說明, 平均每次運行 GenShortID() 需要 2352 納秒.
性能分析
運行測試的時候, 可以指定一些參數, 生成性能文件 profile.
-blockprofile block.out
Write a goroutine blocking profile to the specified file
when all tests are complete.
Writes test binary as -c would.
-blockprofilerate n
Control the detail provided in goroutine blocking profiles by
calling runtime.SetBlockProfileRate with n.
See 'go doc runtime.SetBlockProfileRate'.
The profiler aims to sample, on average, one blocking event every
n nanoseconds the program spends blocked. By default,
if -test.blockprofile is set without this flag, all blocking events
are recorded, equivalent to -test.blockprofilerate=1.
-coverprofile cover.out
Write a coverage profile to the file after all tests have passed.
Sets -cover.
-cpuprofile cpu.out
Write a CPU profile to the specified file before exiting.
Writes test binary as -c would.
-memprofile mem.out
Write an allocation profile to the file after all tests have passed.
Writes test binary as -c would.
-memprofilerate n
Enable more precise (and expensive) memory allocation profiles by
setting runtime.MemProfileRate. See 'go doc runtime.MemProfileRate'.
To profile all memory allocations, use -test.memprofilerate=1.
-mutexprofile mutex.out
Write a mutex contention profile to the specified file
when all tests are complete.
Writes test binary as -c would.
-mutexprofilefraction n
Sample 1 in n stack traces of goroutines holding a
contended mutex.
使用下面的命令, 生成 CPU 的 profile:
go test -v -bench="BenchmarkGenShortID$" --run=none -cpuprofile cpu.out ./util/
當前目錄下, 應該會生成 cpu.out 文件和 util.test 文件.
使用下面的命令, 觀察耗時操作:
# 進入交互模式
go tool pprof cpu.out
top
安裝 Graphviz 后可以生成可視化的分析圖.
apt install graphviz
go tool pprof -http=":" cpu.out
測試覆蓋率
root@592402321ce7:/workspace# go test -v -coverprofile=cover.out ./util/
=== RUN TestGenShortID
--- PASS: TestGenShortID (0.00s)
PASS
coverage: 9.1% of statements
ok tzh.com/web/util 0.005s coverage: 9.1% of statements
root@592402321ce7:/workspace# go tool cover -func=cover.out
tzh.com/web/util/util.go:12: GenShortID 100.0%
tzh.com/web/util/util.go:17: GetReqID 0.0%
tzh.com/web/util/util.go:22: TimeToStr 0.0%
tzh.com/web/util/util.go:30: GetTag 0.0%
total: (statements) 9.1%
使用 -coverprofile=cover.out 選項可以統計測試覆蓋率.使用 go tool cover -func=cover.out 可以查看更加詳細的測試覆蓋率結果,
統計每個函數的測試覆蓋率.
總結
測試是開發中非常重要的一個環節, 用于保證軟件質量, 切不可偷懶.
當前部分的代碼
作為版本 v0.15.0
以上就是本文的全部內容，希望對大家的學習有所幫助，也希望大家多多支持腳本之家。
