8 Go Techniques for Fast Random Alphabetic Strings – Benchmarks & Insights
This article compares eight Go implementations for generating random strings of English letters, explains their trade‑offs, presents detailed benchmark results, and shows how using byte slices, masking, rand.Source, strings.Builder, and unsafe can dramatically improve speed and memory usage.
Preface
Question: In Go, what is the fastest and simplest way to generate a random string that contains only English letters?
1. Runes
A straightforward solution that declares a rune slice and picks random runes.
package approach1
import (
"fmt"
"math/rand"
"testing"
"time"
)
var letters = []rune("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ")
func randStr(n int) string {
b := make([]rune, n)
for i := range b {
b[i] = letters[rand.Intn(len(letters))]
}
return string(b)
}
func TestApproach1(t *testing.T) {
rand.Seed(time.Now().UnixNano())
fmt.Println(randStr(10))
}
func BenchmarkApproach1(b *testing.B) {
rand.Seed(time.Now().UnixNano())
for i := 0; i < b.N; i++ {
_ = randStr(10)
}
}2. Bytes
Since English letters map one‑to‑one with bytes in UTF‑8, we can store the alphabet as a byte slice or constant.
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ" package approach2
import (
"fmt"
"math/rand"
"testing"
"time"
)
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
func randStr(n int) string {
b := make([]byte, n)
for i := range b {
b[i] = letters[rand.Intn(len(letters))]
}
return string(b)
}
func TestApproach2(t *testing.T) {
rand.Seed(time.Now().UnixNano())
fmt.Println(randStr(10))
}
func BenchmarkApproach2(b *testing.B) {
rand.Seed(time.Now().UnixNano())
for i := 0; i < b.N; i++ {
_ = randStr(10)
}
}3. Remainder
Use rand.Int63() and take the remainder modulo the alphabet length, which is faster than rand.Intn().
package approach3
import (
"fmt"
"math/rand"
"testing"
"time"
)
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
func randStr(n int) string {
b := make([]byte, n)
for i := range b {
b[i] = letters[rand.Int63()%int64(len(letters))]
}
return string(b)
}
func TestApproach3(t *testing.T) {
rand.Seed(time.Now().UnixNano())
fmt.Println(randStr(10))
}
func BenchmarkApproach3(b *testing.B) {
rand.Seed(time.Now().UnixNano())
for i := 0; i < b.N; i++ {
_ = randStr(10)
}
}4. Masking
Generate 63 random bits with rand.Int63() and mask the lower 6 bits (enough for 52 letters). Discard values ≥ len(letters).
package approach4
import (
"fmt"
"math/rand"
"testing"
"time"
)
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
const (
letterIdBits = 6 // 6 bits to represent a letter index
letterIdMask = 1<<letterIdBits - 1 // All 1‑bits for the mask
)
func randStr(n int) string {
b := make([]byte, n)
for i := range b {
if idx := int(rand.Int63() & letterIdMask); idx < len(letters) {
b[i] = letters[idx]
} else {
i-- // retry this position
}
}
return string(b)
}
func TestApproach4(t *testing.T) {
rand.Seed(time.Now().UnixNano())
fmt.Println(randStr(10))
}
func BenchmarkApproach4(b *testing.B) {
rand.Seed(time.Now().UnixNano())
for i := 0; i < b.N; i++ {
_ = randStr(10)
}
}5. Masking Improved
Cache the result of rand.Int63() and extract up to ten letters from the 63 bits, reducing the number of calls.
package approach5
import (
"fmt"
"math/rand"
"testing"
"time"
)
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
const (
letterIdBits = 6
letterIdMask = 1<<letterIdBits - 1
letterIdMax = 63 / letterIdBits // how many letters per Int63
)
func randStr(n int) string {
b := make([]byte, n)
for i, cache, remain := n-1, rand.Int63(), letterIdMax; i >= 0; {
if remain == 0 {
cache, remain = rand.Int63(), letterIdMax
}
if idx := int(cache & letterIdMask); idx < len(letters) {
b[i] = letters[idx]
i--
}
cache >>= letterIdBits
remain--
}
return string(b)
}
func TestApproach5(t *testing.T) {
rand.Seed(time.Now().UnixNano())
fmt.Println(randStr(10))
}
func BenchmarkApproach5(b *testing.B) {
rand.Seed(time.Now().UnixNano())
for i := 0; i < b.N; i++ {
_ = randStr(10)
}
}6. Using rand.Source
Replace the default rand.Rand with a dedicated rand.Source for better performance in single‑goroutine scenarios.
package approach6
import (
"fmt"
"math/rand"
"testing"
"time"
)
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
var src = rand.NewSource(time.Now().UnixNano())
const (
letterIdBits = 6
letterIdMask = 1<<letterIdBits - 1
letterIdMax = 63 / letterIdBits
)
func randStr(n int) string {
b := make([]byte, n)
for i, cache, remain := n-1, src.Int63(), letterIdMax; i >= 0; {
if remain == 0 {
cache, remain = src.Int63(), letterIdMax
}
if idx := int(cache & letterIdMask); idx < len(letters) {
b[i] = letters[idx]
i--
}
cache >>= letterIdBits
remain--
}
return string(b)
}
func TestApproach6(t *testing.T) {
fmt.Println(randStr(10))
}
func BenchmarkApproach6(b *testing.B) {
for i := 0; i < b.N; i++ {
_ = randStr(10)
}
}7. Using strings.Builder
Build the result with strings.Builder, pre‑allocating the required capacity to avoid extra allocations.
package approach7
import (
"fmt"
"math/rand"
"strings"
"testing"
"time"
)
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
var src = rand.NewSource(time.Now().UnixNano())
const (
letterIdBits = 6
letterIdMask = 1<<letterIdBits - 1
letterIdMax = 63 / letterIdBits
)
func randStr(n int) string {
var sb strings.Builder
sb.Grow(n)
for i, cache, remain := n-1, src.Int63(), letterIdMax; i >= 0; {
if remain == 0 {
cache, remain = src.Int63(), letterIdMax
}
if idx := int(cache & letterIdMask); idx < len(letters) {
sb.WriteByte(letters[idx])
i--
}
cache >>= letterIdBits
remain--
}
return sb.String()
}
func TestApproach7(t *testing.T) {
fmt.Println(randStr(10))
}
func BenchmarkApproach7(b *testing.B) {
for i := 0; i < b.N; i++ {
_ = randStr(10)
}
}8. Mimicking strings.Builder with unsafe
Convert the underlying byte slice directly to a string using the unsafe package, eliminating the final copy.
package approach8
import (
"fmt"
"math/rand"
"testing"
"time"
"unsafe"
)
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
var src = rand.NewSource(time.Now().UnixNano())
const (
letterIdBits = 6
letterIdMask = 1<<letterIdBits - 1
letterIdMax = 63 / letterIdBits
)
func randStr(n int) string {
b := make([]byte, n)
for i, cache, remain := n-1, src.Int63(), letterIdMax; i >= 0; {
if remain == 0 {
cache, remain = src.Int63(), letterIdMax
}
if idx := int(cache & letterIdMask); idx < len(letters) {
b[i] = letters[idx]
i--
}
cache >>= letterIdBits
remain--
}
return *(*string)(unsafe.Pointer(&b))
}
func TestApproach8(t *testing.T) {
fmt.Println(randStr(10))
}
func BenchmarkApproach8(b *testing.B) {
for i := 0; i < b.N; i++ {
_ = randStr(10)
}
}Benchmark
Running go test ./... -bench=. -benchmem yields the following results (original author):
BenchmarkRunes-4 2000000 723 ns/op 96 B/op 2 allocs/op
BenchmarkBytes-4 3000000 550 ns/op 32 B/op 2 allocs/op
BenchmarkBytesRmndr-4 3000000 438 ns/op 32 B/op 2 allocs/op
BenchmarkBytesMask-4 3000000 534 ns/op 32 B/op 2 allocs/op
BenchmarkBytesMaskImpr-4 10000000 176 ns/op 32 B/op 2 allocs/op
BenchmarkBytesMaskImprSrc-4 10000000 139 ns/op 32 B/op 2 allocs/op
BenchmarkBytesMaskImprSrcSB-4 10000000 134 ns/op 16 B/op 1 allocs/op
BenchmarkBytesMaskImprSrcUnsafe-4 10000000 115 ns/op 16 B/op 1 allocs/opRe‑tested by the translator:
BenchmarkApproach1-12 3849038 299.5 ns/op 64 B/op 2 allocs/op
BenchmarkApproach2-12 5545350 216.4 ns/op 32 B/op 2 allocs/op
BenchmarkApproach3-12 7003654 169.7 ns/op 32 B/op 2 allocs/op
BenchmarkApproach4-12 7164259 168.7 ns/op 32 B/op 2 allocs/op
BenchmarkApproach5-12 13205474 89.06 ns/op 32 B/op 2 allocs/op
BenchmarkApproach6-12 13665636 84.41 ns/op 32 B/op 2 allocs/op
BenchmarkApproach7-12 17213431 70.37 ns/op 16 B/op 1 allocs/op
BenchmarkApproach8-12 19756956 61.41 ns/op 16 B/op 1 allocs/opKey observations:
Switching from rune to byte improves performance by over 20%.
Using rand.Int63() instead of rand.Intn() yields another >20% gain.
Masking alone does not speed up the code; in some cases it slows it down.
Caching the 63 random bits and extracting multiple letters gives a 3× speed boost.
Replacing rand.Rand with rand.Source improves performance by about 21%.
Employing strings.Builder reduces allocations and adds roughly 3.5% speed improvement.
Using unsafe to convert the byte slice to a string cuts the runtime by another ~14%.
Overall, Approach 8 is about 6.3× faster than Approach 1, uses only one‑sixth of the memory, and halves the allocation count.
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