Files
artifactapi/internal/proxy/selection_bench_test.go
T
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proxy: add mirror-selection benchmarks
Quantify the latency the mirror load-balancing strategy adds versus a
single-URL remote, and lock it in as a regression guard.

- selection_bench_test.go: isolates baseURLAttemptOrder / beginAttempt /
  endAttempt against a zero-value Engine (no network/DB/redis), covering
  single-URL, round_robin (3/8), least_conn (3/8) and the gauge inc/dec
  pair, plus RunParallel variants to surface sync.Map/atomic contention.
- BENCHMARKS.md: median-of-6 results on a Ryzen 7 4700U with the raw runs
  and the cache-miss-only caveat.

Headline (median of 6, ns/op): single-URL ~133; round_robin ~462 (3) /
~682 (8); least_conn ~2690 (3) / ~15200 (8). Selection runs only on
cache-miss, so cache hits pay zero.
2026-08-13 17:31:47 +10:00

157 lines
4.9 KiB
Go

package proxy
import (
"fmt"
"testing"
"git.unkin.net/unkin/artifactapi/pkg/models"
)
// These benchmarks isolate the mirror-selection overhead only: they construct a
// zero-value Engine (no DB/S3/redis) and call baseURLAttemptOrder /
// beginAttempt / endAttempt directly, mirroring leastconn_test.go and
// multibaseurl_test.go. This quantifies how much latency the load-balancing
// strategy (round_robin vs least_conn) adds versus a single-URL remote. Note
// that in the live proxy this selection runs only on the cache-miss/upstream
// path; a cache hit never calls it.
// mirrorPool builds a remote with n upstreams (base_url + n-1 mirrorlist
// entries) under the given strategy.
func mirrorPool(name, strategy string, n int) models.Remote {
r := models.Remote{
Name: name,
BaseURL: "https://mirror0.example/repo",
MirrorStrategy: strategy,
}
for i := 1; i < n; i++ {
r.Mirrorlist = append(r.Mirrorlist, fmt.Sprintf("https://mirror%d.example/repo", i))
}
return r
}
// skewInflight sets an ascending in-flight load across the pool so least_conn's
// stable sort has real work to do (mirror0 busiest, last mirror idle).
func skewInflight(e *Engine, r models.Remote) {
pool := r.UpstreamPool()
for i, u := range pool {
e.inflightCounter(r.Name, u).Add(int64(len(pool) - i))
}
}
// BenchmarkBaseURLAttemptOrder_SingleURL measures the early-return no-op path
// (pool of 1): the branch that preserves original single-attempt behavior and
// must add effectively zero overhead. This is the same code the cache-miss path
// takes for every non-mirrored remote.
func BenchmarkBaseURLAttemptOrder_SingleURL(b *testing.B) {
e := &Engine{}
r := models.Remote{Name: "solo", BaseURL: "https://mirror0.example/repo"}
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
_ = e.baseURLAttemptOrder(r)
}
}
// BenchmarkBaseURLAttemptOrder_RoundRobin measures the default strategy: rotate
// the starting mirror by an atomic cursor and materialize the ordered slice. No
// in-flight sort.
func BenchmarkBaseURLAttemptOrder_RoundRobin(b *testing.B) {
for _, n := range []int{3, 8} {
b.Run(fmt.Sprintf("pool%d", n), func(b *testing.B) {
e := &Engine{}
r := mirrorPool("rr", models.MirrorStrategyRoundRobin, n)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
_ = e.baseURLAttemptOrder(r)
}
})
}
}
// BenchmarkBaseURLAttemptOrder_LeastConn measures the least_conn strategy: RR
// rotation plus a stable sort of the pool by the atomic in-flight gauges. Skew
// is preloaded so the sort compares distinct loads.
func BenchmarkBaseURLAttemptOrder_LeastConn(b *testing.B) {
for _, n := range []int{3, 8} {
b.Run(fmt.Sprintf("pool%d", n), func(b *testing.B) {
e := &Engine{}
r := mirrorPool("lc", models.MirrorStrategyLeastConn, n)
skewInflight(e, r)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
_ = e.baseURLAttemptOrder(r)
}
})
}
}
// BenchmarkBeginEndAttempt measures the gauge inc/dec pair that brackets each
// least_conn upstream attempt (LoadOrStore + atomic add, then atomic add back).
func BenchmarkBeginEndAttempt(b *testing.B) {
e := &Engine{}
r := mirrorPool("g", models.MirrorStrategyLeastConn, 3)
url := r.UpstreamPool()[0]
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
ctr := e.beginAttempt(r, url)
endAttempt(ctr)
}
}
// BenchmarkBaseURLAttemptOrder_RoundRobin_Parallel surfaces atomic-cursor
// contention on the shared rrCounters entry under concurrent selection.
func BenchmarkBaseURLAttemptOrder_RoundRobin_Parallel(b *testing.B) {
for _, n := range []int{3, 8} {
b.Run(fmt.Sprintf("pool%d", n), func(b *testing.B) {
e := &Engine{}
r := mirrorPool("rrp", models.MirrorStrategyRoundRobin, n)
b.ReportAllocs()
b.ResetTimer()
b.RunParallel(func(pb *testing.PB) {
for pb.Next() {
_ = e.baseURLAttemptOrder(r)
}
})
})
}
}
// BenchmarkBaseURLAttemptOrder_LeastConn_Parallel surfaces sync.Map read
// contention on the in-flight gauges plus the per-call sort under concurrency.
func BenchmarkBaseURLAttemptOrder_LeastConn_Parallel(b *testing.B) {
for _, n := range []int{3, 8} {
b.Run(fmt.Sprintf("pool%d", n), func(b *testing.B) {
e := &Engine{}
r := mirrorPool("lcp", models.MirrorStrategyLeastConn, n)
skewInflight(e, r)
b.ReportAllocs()
b.ResetTimer()
b.RunParallel(func(pb *testing.PB) {
for pb.Next() {
_ = e.baseURLAttemptOrder(r)
}
})
})
}
}
// BenchmarkBeginEndAttempt_Parallel exercises the gauge inc/dec pair under
// concurrency: all goroutines hammer the same atomic.Int64, the realistic
// hot-mirror case, to surface counter contention.
func BenchmarkBeginEndAttempt_Parallel(b *testing.B) {
e := &Engine{}
r := mirrorPool("gp", models.MirrorStrategyLeastConn, 3)
url := r.UpstreamPool()[0]
b.ReportAllocs()
b.ResetTimer()
b.RunParallel(func(pb *testing.PB) {
for pb.Next() {
ctr := e.beginAttempt(r, url)
endAttempt(ctr)
}
})
}