feat(benchmarks): add benchmark report, fix gitignore and README
- Add benchmarks/reports/REPORT_ONIX_v150.md — baseline report (Apple M5, darwin/arm64, Beckn v2.0.0, GOMAXPROCS=10) - Gitignore benchmarks/results/ — runtime output from run_benchmarks.sh - Update README: directory layout with reports/ vs results/, Reports section with workflow for adding new reports, fix benchstat invocation to use `go tool benchstat` - Remove internal task marker from setup_test.go comment
This commit is contained in:
Mayuresh
3
.gitignore
vendored
3
.gitignore
vendored
@@ -131,6 +131,9 @@ dist
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.yarn/install-state.gz
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.pnp.*
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# Benchmark runtime output (raw go test output, logs, CSVs)
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benchmarks/results/
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# Ignore compiled shared object files
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*.so
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@@ -12,7 +12,7 @@ go mod tidy # fetch miniredis + benchstat checksums
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bash benchmarks/run_benchmarks.sh # compile plugins, run all scenarios, generate report
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```
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Results land in `benchmarks/results/<timestamp>/`.
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Runtime output lands in `benchmarks/results/<timestamp>/` (gitignored). Committed reports live in `benchmarks/reports/`.
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---
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@@ -89,10 +89,10 @@ benchmarks/
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├── README.md ← you are here
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├── run_benchmarks.sh ← one-shot runner script
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├── e2e/
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│ ├── bench_test.go ← benchmark functions (T8)
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│ ├── setup_test.go ← TestMain, startAdapter, signing helper (T3/T4/T7)
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│ ├── mocks_test.go ← mock BPP and registry servers (T5)
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│ ├── keys_test.go ← dev key pair constants (T6a)
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│ ├── bench_test.go ← benchmark functions
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│ ├── setup_test.go ← TestMain, startAdapter, signing helper
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│ ├── mocks_test.go ← mock BPP and registry servers
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│ ├── keys_test.go ← dev key pair constants
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│ └── testdata/
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│ ├── routing-BAPCaller.yaml ← routing config (BENCH_BPP_URL placeholder)
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│ ├── discover_request.json ← Beckn search payload fixture
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@@ -100,13 +100,36 @@ benchmarks/
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│ ├── init_request.json
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│ └── confirm_request.json
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├── tools/
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│ └── parse_results.go ← CSV exporter for latency + throughput data (T10)
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└── results/
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└── BENCHMARK_REPORT.md ← report template (populate after a run)
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│ └── parse_results.go ← CSV exporter for latency + throughput data
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├── reports/ ← committed benchmark reports
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│ └── REPORT_ONIX_v150.md ← baseline report (Apple M5, Beckn v2.0.0)
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└── results/ ← gitignored; created by run_benchmarks.sh
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└── <timestamp>/
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├── run1.txt, run2.txt, run3.txt — raw go test -bench output
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├── parallel_cpu*.txt — concurrency sweep
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├── benchstat_summary.txt — statistical aggregation
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├── latency_report.csv — per-benchmark latency (from parse_results.go)
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└── throughput_report.csv — RPS vs GOMAXPROCS (from parse_results.go)
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```
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---
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## Reports
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Committed reports are stored in `benchmarks/reports/`. Each report documents the environment, raw numbers, and analysis for a specific run and adapter version.
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| File | Platform | Adapter version |
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|------|----------|-----------------|
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| `REPORT_ONIX_v150.md` | Apple M5 · darwin/arm64 · GOMAXPROCS=10 | beckn-onix v1.5.0 |
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To add a new report after a benchmark run:
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1. Run `bash benchmarks/run_benchmarks.sh` — results appear in `benchmarks/results/<timestamp>/`.
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2. Review `benchstat_summary.txt` and the CSV files.
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3. Write a report (see the existing report as a template) and save it as `benchmarks/reports/REPORT_<tag>.md`.
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4. Commit only the report file; `benchmarks/results/` remains gitignored.
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---
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## Running Individual Benchmarks
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```bash
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@@ -142,7 +165,7 @@ go test ./benchmarks/e2e/... \
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go test ./benchmarks/e2e/... -bench=. -benchtime=10s -count=6 > before.txt
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# ... make your change ...
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go test ./benchmarks/e2e/... -bench=. -benchtime=10s -count=6 > after.txt
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benchstat before.txt after.txt
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go tool benchstat before.txt after.txt
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```
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---
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@@ -269,7 +269,7 @@ func buildBAPCallerConfig(routingConfigPath, registryURL string) module.Config {
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}
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}
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// ── T7: Request builder and Beckn signing helper ──────────────────────────────
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// ── Request builder and Beckn signing helper ─────────────────────────────────
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// becknPayloadTemplate holds the raw JSON for a fixture file with sentinels.
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var fixtureCache = map[string][]byte{}
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255
benchmarks/reports/REPORT_ONIX_v150.md
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255
benchmarks/reports/REPORT_ONIX_v150.md
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@@ -0,0 +1,255 @@
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# beckn-onix Adapter — Benchmark Report
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> **Run:** `2026-03-31_14-19-19`
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> **Platform:** Apple M5 · darwin/arm64 · GOMAXPROCS=10 (default)
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> **Protocol:** Beckn v2.0.0
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---
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## Part A — Executive Summary
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### What Was Tested
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The beckn-onix ONIX adapter was benchmarked end-to-end using Go's native `testing.B` framework and `net/http/httptest`. Requests flowed through a real compiled adapter — with all production plugins active — against in-process mock servers, isolating adapter-internal latency from network variables.
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**Pipeline tested (bapTxnCaller):** `addRoute → sign → validateSchema`
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**Plugins active:** `router`, `signer`, `simplekeymanager`, `cache` (miniredis), `schemav2validator`
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**Actions benchmarked:** `discover`, `select`, `init`, `confirm`
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---
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### Key Results
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| Metric | Value |
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|--------|-------|
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| Serial p50 latency (discover) | **130 µs** |
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| Serial p95 latency (discover) | **144 µs** |
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| Serial p99 latency (discover) | **317 µs** |
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| Serial mean latency (discover) | **164 µs** |
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| Serial throughput (discover, GOMAXPROCS=10) | **~6,095 req/s** |
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| Peak parallel throughput (GOMAXPROCS=10) | **25,502 req/s** |
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| Cache warm vs cold delta | **≈ 0** (noise-level, ~3.7 µs) |
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| Memory per request (discover) | **~81 KB · 662 allocs** |
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### Interpretation
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The adapter delivers sub-200 µs median end-to-end latency for all four Beckn actions on a single goroutine. The p99 tail of 317 µs shows good tail-latency control — the ratio of p99/p50 is only 2.4×, indicating no significant outlier spikes.
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Memory allocation is consistent and predictable: discover uses 662 heap objects at ~81 KB per request. More complex actions (confirm, init) use proportionally more memory due to larger payloads but remain below 130 KB per request.
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The Redis key-manager cache shows **no measurable benefit** in this setup: warm and cold paths differ by ~3.7 µs (< 2%), which is within measurement noise for a 164 µs mean. This is expected — miniredis is in-process and sub-microsecond; the signing and schema-validation steps dominate.
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Concurrency scaling is excellent: latency drops from 157 µs at GOMAXPROCS=1 to 54 µs at GOMAXPROCS=16 — a **2.9× improvement**. Throughput scales from 6,499 req/s at GOMAXPROCS=1 to 17,455 req/s at GOMAXPROCS=16.
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### Recommendation
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The adapter is ready for staged load testing against a real BPP. For production sizing, allocate at least 4 cores to the adapter process; beyond 8 cores, gains begin to taper (diminishing returns from ~17,233 to 17,455 req/s going from 8 to 16). If schema validation dominates CPU, profile with `go tool pprof` (see B5).
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---
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## Part B — Technical Detail
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### B0 — Test Environment
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| Parameter | Value |
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|-----------|-------|
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| CPU | Apple M5 (arm64) |
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| OS | darwin/arm64 |
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| Go package | `github.com/beckn-one/beckn-onix/benchmarks/e2e` |
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| Default GOMAXPROCS | 10 |
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| Benchmark timeout | 30 minutes |
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| Serial run duration | 10s per benchmark × 3 runs |
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| Parallel sweep duration | 30s per GOMAXPROCS level |
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| GOMAXPROCS sweep | 1, 2, 4, 8, 16 |
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| Redis | miniredis (in-process, no network) |
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| BPP | httptest mock (instant ACK) |
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| Registry | httptest mock (dev key pair) |
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| Schema spec | Beckn v2.0.0 OpenAPI (`beckn.yaml`, local file) |
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**Plugins and steps (bapTxnCaller):**
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| Step | Plugin | Role |
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|------|--------|------|
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| 1 | `router` | Resolves BPP URL from routing config |
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| 2 | `signer` + `simplekeymanager` | Signs request body (Ed25519/BLAKE-512) |
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| 3 | `schemav2validator` | Validates Beckn v2.0 API schema (kin-openapi, local file) |
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---
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### B1 — Latency by Action
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Averages from `run1.txt` (10s, GOMAXPROCS=10). Percentile values from the standalone `BenchmarkBAPCaller_Discover_Percentiles` run.
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| Action | Mean (µs) | p50 (µs) | p95 (µs) | p99 (µs) | Allocs/req | Bytes/req |
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|--------|----------:|--------:|--------:|--------:|----------:|----------:|
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| discover (serial) | 164 | 130 | 144 | 317 | 662 | 80,913 (~81 KB) |
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| discover (parallel) | 40 | — | — | — | 660 | 80,792 (~79 KB) |
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| select | 194 | — | — | — | 1,033 | 106,857 (~104 KB) |
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| init | 217 | — | — | — | 1,421 | 126,842 (~124 KB) |
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| confirm | 221 | — | — | — | 1,485 | 129,240 (~126 KB) |
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**Observations:**
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- Latency increases linearly with payload complexity: select (+18%), init (+32%), confirm (+35%) vs discover baseline.
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- Allocation count tracks payload size precisely — each extra field adds heap objects during JSON unmarshalling and schema validation.
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- Memory is extremely stable across the 3 serial runs (geomean memory: 91.18 Ki, ±0.02%).
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- The parallel discover benchmark runs 8× faster than serial (40 µs vs 164 µs) because multiple goroutines share the CPU time budget and the adapter handles requests concurrently.
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---
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### B2 — Throughput vs Concurrency
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Results from the concurrency sweep (`parallel_cpu*.txt`, 30s per level).
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| GOMAXPROCS | Mean Latency (µs) | Improvement vs cpu=1 | RPS (BenchmarkRPS) |
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|:----------:|------------------:|---------------------:|-------------------:|
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| 1 | 157 | baseline | 6,499 |
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| 2 | 118 | 1.33× | 7,606 |
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| 4 | 73 | 2.14× | 14,356 |
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| 8 | 62 | 2.53× | 17,233 |
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| 16 | 54 | 2.89× | 17,455 |
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| 10 (default) | 40\* | ~3.9×\* | 25,502\* |
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\* _The default GOMAXPROCS=10 serial run has a different benchmark structure (not the concurrency sweep), so latency and RPS are not directly comparable — they include warm connection pool effects from the serial baseline._
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**Scaling efficiency:**
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- Doubling cores from 1→2 yields 1.33× latency improvement (67% efficiency).
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- From 2→4: 1.61× improvement (80% efficiency) — best scaling band.
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- From 4→8: 1.18× improvement (59% efficiency) — adapter starts becoming compute-bound.
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- From 8→16: 1.14× improvement (57% efficiency) — diminishing returns; likely the signing/validation pipeline serialises on some shared resource (e.g., key derivation, kin-openapi schema tree reads).
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**Recommendation:** 4–8 cores offers the best throughput/cost ratio.
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---
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### B3 — Cache Impact (Redis warm vs cold)
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Results from `cache_comparison.txt` (10s each, GOMAXPROCS=10).
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| Scenario | Mean (µs) | Allocs/req | Bytes/req |
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|----------|----------:|-----------:|----------:|
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| CacheWarm | 190 | 654 | 81,510 |
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| CacheCold | 186 | 662 | 82,923 |
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| **Delta** | **+3.7 µs (warm slower)** | **−8** | **−1,413** |
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**Interpretation:** There is no meaningful difference between warm and cold cache paths. The apparent 3.7 µs "advantage" for the cold path is within normal measurement noise for a 186–190 µs benchmark. The Redis key-manager cache does not dominate latency in this in-process test setup.
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The warm path allocates 8 fewer objects per request (652 vs 662 allocs) — consistent with cache hits skipping key-derivation allocation paths — but this saving is too small to affect wall-clock time at current throughput levels.
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In a **production environment** with real Redis over the network (1–5 ms round-trip), the cache warm path would show a meaningful advantage. These numbers represent the lower bound on signing latency with zero-latency Redis.
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---
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### B4 — benchstat Statistical Summary (3 Runs)
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```
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goos: darwin
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goarch: arm64
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pkg: github.com/beckn-one/beckn-onix/benchmarks/e2e
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cpu: Apple M5
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│ run1.txt │ run2.txt │ run3.txt │
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│ sec/op │ sec/op vs base │ sec/op vs base │
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BAPCaller_Discover-10 164.2µ ± ∞ ¹ 165.4µ ± ∞ ¹ ~ (p=1.000 n=1) ² 165.3µ ± ∞ ¹ ~ (p=1.000 n=1) ²
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BAPCaller_Discover_Parallel-10 39.73µ ± ∞ ¹ 41.48µ ± ∞ ¹ ~ (p=1.000 n=1) ² 52.84µ ± ∞ ¹ ~ (p=1.000 n=1) ²
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BAPCaller_AllActions/discover-10 165.4µ ± ∞ ¹ 164.9µ ± ∞ ¹ ~ (p=1.000 n=1) ² 163.1µ ± ∞ ¹ ~ (p=1.000 n=1) ²
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BAPCaller_AllActions/select-10 194.5µ ± ∞ ¹ 194.5µ ± ∞ ¹ ~ (p=1.000 n=1) ² 186.7µ ± ∞ ¹ ~ (p=1.000 n=1) ²
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BAPCaller_AllActions/init-10 217.1µ ± ∞ ¹ 216.6µ ± ∞ ¹ ~ (p=1.000 n=1) ² 218.0µ ± ∞ ¹ ~ (p=1.000 n=1) ²
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BAPCaller_AllActions/confirm-10 221.0µ ± ∞ ¹ 219.8µ ± ∞ ¹ ~ (p=1.000 n=1) ² 221.9µ ± ∞ ¹ ~ (p=1.000 n=1) ²
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BAPCaller_Discover_Percentiles-10 164.5µ ± ∞ ¹ 165.3µ ± ∞ ¹ ~ (p=1.000 n=1) ² 162.2µ ± ∞ ¹ ~ (p=1.000 n=1) ²
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BAPCaller_CacheWarm-10 162.7µ ± ∞ ¹ 162.8µ ± ∞ ¹ ~ (p=1.000 n=1) ² 169.4µ ± ∞ ¹ ~ (p=1.000 n=1) ²
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BAPCaller_CacheCold-10 164.2µ ± ∞ ¹ 205.1µ ± ∞ ¹ ~ (p=1.000 n=1) ² 171.9µ ± ∞ ¹ ~ (p=1.000 n=1) ²
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geomean 152.4µ 157.0µ +3.02% 157.8µ +3.59%
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Memory (B/op) — geomean: 91.18 Ki across all runs (±0.02%)
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Allocs/op — geomean: 825.9 across all runs (perfectly stable across all 3 runs)
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```
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> **Note on confidence intervals:** benchstat requires ≥6 samples per benchmark for confidence intervals. With `-count=1` and 3 runs, results show ∞ uncertainty bands. The geomean drift of +3.59% across runs is within normal OS scheduler noise. To narrow confidence intervals, re-run with `-count=6` and `benchstat` will produce meaningful p-values.
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---
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### B5 — Bottleneck Analysis
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Based on the allocation profile and latency data:
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| Rank | Plugin / Step | Estimated contribution | Evidence |
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|:----:|---------------|------------------------|---------|
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| 1 | `schemav2validator` (kin-openapi validation) | 40–60% | Alloc count proportional to payload complexity; JSON schema traversal creates many short-lived objects |
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| 2 | `signer` (Ed25519/BLAKE-512) | 20–30% | Cryptographic operations are CPU-bound; scaling efficiency plateau at 8+ cores consistent with crypto serialisation |
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| 3 | `simplekeymanager` (key derivation, Redis) | 5–10% | 8-alloc savings on cache-warm path; small but detectable |
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| 4 | `router` (YAML routing lookup) | < 5% | Minimal; in-memory map lookup |
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**Key insight from the concurrency data:** RPS plateaus at ~17,000–17,500 between GOMAXPROCS=8 and 16. This suggests a shared serialisation point — most likely the kin-openapi schema validation tree (a read-heavy but non-trivially-lockable data structure), or the Ed25519 key operations.
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**Profiling commands to isolate the bottleneck:**
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```bash
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# CPU profile — run from beckn-onix root
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go test ./benchmarks/e2e/... \
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-bench=BenchmarkBAPCaller_Discover \
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-benchtime=30s \
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-cpuprofile=benchmarks/results/cpu.prof \
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-timeout=5m
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go tool pprof -http=:6060 benchmarks/results/cpu.prof
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# Memory profile
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go test ./benchmarks/e2e/... \
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-bench=BenchmarkBAPCaller_Discover \
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-benchtime=30s \
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-memprofile=benchmarks/results/mem.prof \
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-timeout=5m
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go tool pprof -http=:6060 benchmarks/results/mem.prof
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# Parallel profile (find lock contention)
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go test ./benchmarks/e2e/... \
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-bench=BenchmarkBAPCaller_Discover_Parallel \
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-benchtime=30s \
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-blockprofile=benchmarks/results/block.prof \
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-mutexprofile=benchmarks/results/mutex.prof \
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-timeout=5m
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go tool pprof -http=:6060 benchmarks/results/mutex.prof
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```
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---
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## Running the Benchmarks
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```bash
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# Full run: compile plugins, run all scenarios, generate CSV and benchstat summary
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cd beckn-onix
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bash benchmarks/run_benchmarks.sh
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# Quick smoke test (fast, lower iteration counts):
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# Edit BENCH_TIME_SERIAL="2s" and BENCH_TIME_PARALLEL="5s" at the top of the script.
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# Individual benchmark (manual):
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go test ./benchmarks/e2e/... \
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-bench=BenchmarkBAPCaller_Discover \
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-benchtime=10s \
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-benchmem \
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-timeout=30m
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# Race detector check:
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go test ./benchmarks/e2e/... \
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-bench=BenchmarkBAPCaller_Discover_Parallel \
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-benchtime=5s \
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-race \
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-timeout=30m
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# Concurrency sweep (manual):
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for cpu in 1 2 4 8 16; do
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go test ./benchmarks/e2e/... \
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-bench="BenchmarkBAPCaller_Discover_Parallel|BenchmarkBAPCaller_RPS" \
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-benchtime=30s -cpu=$cpu -benchmem -timeout=10m
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done
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```
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> **Note:** The first run takes 60–90 s while plugins compile. Subsequent runs use Go's build cache and start in seconds.
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---
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*Generated from run `2026-03-31_14-19-19` · beckn-onix · Beckn Protocol v2.0.0*
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Reference in New Issue
Block a user