Shadow Q4 优化性能报告(2026 Q3)

测试环境:darwin/amd64,Go 1.26,Intel Core i5-5257U @ 2.70GHz
目标平台:linux/arm GOARM=7(工业网关 ARMv7 32-bit)
测试文件:internal/core/shadow_core_armv7_test.goshadow_optimization_test.go

1. 优化摘要

类别 Q3 基线 Q4 变更
订阅扇出 每写 1 goroutine 同步 notify 固定 6 worker pool + hash 分区
读路径 cloneShadowDevice 深拷贝 Points COW atomic.Pointer 快照,共享 immutable map
采集写入 ScanEngine 直写 ShadowCore ShadowIngress 8ms/256 缓冲 + ring queue
批量 apply ApplyShadowWrites 单锁多消息
通信画像 每次写刷新 RTT Δ≥10ms 或 ≥5% 才刷新

2. 微基准对比(-benchmem -count=3

命令:

go test ./internal/core/ -run '^$' \
  -bench 'BenchmarkWriteShadowDevice|BenchmarkGetShadowDevice|BenchmarkNotifySubscribers|BenchmarkGetShadowDevice_COW|BenchmarkApplyShadowWrites_10kTags' \
  -benchmem -count=3
Benchmark Q3 基线 (ns/op) Q4 (ns/op) Q3 allocs/op Q4 allocs/op
WriteShadowDevice(1 point) ~2300 ~2700 10 14
WriteShadowDevice_MultiPoint(10 points) ~7500 ~9600 30 45
GetShadowDevice(100 devices) ~1070 ~249 6 2
GetShadowDevice_COW(100 points/device) ~110 1
NotifySubscribers(10 subs, worker pool) ~2200 ~2800 10 14
ApplyShadowWrites_10kTags ~10.8ms/op 30187

读路径收益

  • GetShadowDevice~4.3× faster,allocs 6 → 2
  • 100 点位设备 COW 读:~110 ns/op,1 alloc(仅分配返回 struct,Points map 共享)

10k tag 批量

  • 单批次 10k 点位 apply:~10.5 ms(~952k tags/sec 写入吞吐)
  • Stress test:TestStress_ShadowRingBuffer_10kThroughput 验证点位完整性

3. Goroutine 稳定性

TestShadowNotifyPool_NoUnboundedGoroutines:500 次高频写后 goroutine 增长 < 20(worker pool 有界)。

4. 单元测试

go test ./internal/core/... -short -count=1

覆盖:

  • TestShadowNotifyPool_* — worker pool 有界性
  • TestShadowCOW_ConcurrentReadWriteConsistent — 读写一致性
  • TestShadowCore_ApplyShadowWrites_Batch — 同设备批量合并 notify
  • TestShadowIngress_ScanEnginePath — Ingress flush → Pipeline
  • TestShadowDeviceOptimizer_LazyProfileUpdate — 小 RTT 变化跳过 profile 刷新

5. 生产挂载

cmd/main.go

shadowIngress = core.NewShadowIngress(sc, 256, 8*time.Millisecond)
shadowIngress.Start()
cm.SetShadowIngress(shadowIngress)

ScanEngine 采集路径:IngestDirect → ring buffer → 定时/满缓冲 flush → ApplyShadowWrites

REST/写点路径仍直写 ShadowCore.WriteShadowDevice(低延迟)。

7. 2026-07-04 复测(darwin/amd64,Go 1.26)

命令与 Phase A–D 总表见 q3_phase_abcd_verification_2026-07-04.md

项目 结果
Shadow 单测(Ingress/COW/Worker Pool/10k stress) ✅ PASS
TestStress_ShadowRingBuffer_10kThroughput 14.86ms,~673k tags/sec(2026-07-04 二轮)
TestStress_VirtualShadow_10kRefresh(新增) 119.8ms,~83.5k source tags/sec;100 虚拟设备 × 100 map 点
GetShadowDevice bench ~254–295 ns/op,2 allocs
GetShadowDevice_COW ~105–107 ns/op,1 alloc
ApplyShadowWrites_10kTags ~10.6–11.7 ms/op
BenchmarkShadowIngress_Ingest-tags=integration ~1.7–2.1 µs/op,10 allocs

6. 相关文件

文件 说明
internal/core/shadow_notify_pool.go P1 worker pool
internal/core/shadow_cow.go P1 COW 快照
internal/core/shadow_ring_buffer.go P2 环形队列
internal/core/shadow_ingress.go P2 批量 flush
internal/core/shadow_device_optimizer.go P3 惰性 profile
internal/core/shadow_optimization_test.go Q4 单元/基准/压测
docs/edge/6. 影子设备设计.md §6.10 设计说明

7. 剩余差距

  • WriteShadowDevice 单点写 alloc 略增(worker pool 入队 + COW map 合并);高写频场景收益在 goroutine 稳定与批量路径
  • ARMv7 板端需交叉编译后复跑 benchmark 验证对齐与真实 P99
  • Virtual shadow 10k 刷新压测已覆盖(TestStress_VirtualShadow_10kRefresh);Virtual shadow 路径尚未 COW(低优先级)

8. SLA Phase B 补充(2026-07-02)

结果
loadPoints 热路径 0 allocs/op
per-device RTT throttle 100+5 压测 P95 增幅 10.9%
GC gate Q3 gc_pause_max_ms <20ms
Soak build tag + CI short gate

详见 docs/testing/sla_completion_report_2026Q3.md