| name | go-testing-benchmarks |
| description | Benchmark patterns for performance testing |
Benchmarks
Measure function performance with benchmark tests.
CORRECT
func Benchmark_Fibonacci(b *testing.B) {
for i := 0; i < b.N; i++ {
Fibonacci(10)
}
}
func Benchmark_Fibonacci_Cases(b *testing.B) {
cases := []struct {
name string
n int
}{
{name: "small", n: 10},
{name: "medium", n: 20},
{name: "large", n: 30},
}
for _, bc := range cases {
b.Run(bc.name, func(b *testing.B) {
for i := 0; i < b.N; i++ {
Fibonacci(bc.n)
}
})
}
}
func Benchmark_StringConcat(b *testing.B) {
b.ResetTimer() // Exclude setup time
for i := 0; i < b.N; i++ {
_ = "hello" + "world"
}
}
Run benchmarks:
go test -bench=. -benchmem
Why:
- b.N adjusted automatically for stable timing
- Sub-benchmarks compare variations
- b.ResetTimer() excludes setup
- -benchmem shows allocation stats
WRONG
func Benchmark_Fibonacci(b *testing.B) {
Fibonacci(10) // Missing loop
}
func Benchmark_NoReset(b *testing.B) {
// Expensive setup
data := generateLargeData()
// Missing b.ResetTimer()
for i := 0; i < b.N; i++ {
Process(data)
}
}
Problems:
- No b.N loop = invalid benchmark
- Setup time included in measurement
- Inaccurate performance results