Merge branch 'codex/container-simulate'

# Conflicts:
#	.hermes/shared-memory/decision-log.md
#	server-rs/crates/api-server/src/puzzle.rs
#	server-rs/crates/spacetime-client/src/mapper.rs
This commit is contained in:
kdletters
2026-05-19 10:07:45 +08:00
40 changed files with 2795 additions and 165 deletions
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- 影响范围:`jenkins/Jenkinsfile.production-stdb-module-build` 及后续所有同类 Windows 构建流水线。
- 验证方式:Jenkins 日志中应能看到 `[jenkins-powershell] user:``[jenkins-powershell] exe:`Checkout 阶段会打印当前 `HEAD` 与请求 commit,并在 `COMMIT_HASH` 为空或一致时直接继续;不再停在 `PipelineNodeTreeScanner... Cannot run program "powershell"` 或重复 `git clean` 的退出码 5。
- 关联文档:`docs/【开发运维】本地开发验证与生产运维-2026-05-15.md``.hermes/shared-memory/pitfalls.md`
## 2026-05-19 tracking outbox 改为 rotate 后异步 flush
- 背景:普通 route tracking 写入压力上来后,不能让 HTTP 请求线程等待 SpacetimeDB 批量入库。
- 决策:`api-server` tracking outbox 达到 `BATCH_SIZE` 时立即封存当前 active 文件并切新 activesealed 文件交给后台 worker 异步 flush`FLUSH_INTERVAL_MS` 只做长时间未满批的兜底封存;`MAX_BYTES` 只做磁盘保护阈值;成功后删除 sealed,失败保留重试,坏文件隔离为 `corrupt-*`
- 影响范围:`api-server` tracking outbox、埋点文档、压测口径和后续排障记忆。
- 验证方式:HTTP route 请求在 SpacetimeDB 短暂不可用时仍可返回;恢复后 sealed 文件会被批量写入并清理。
- 关联文档:`docs/【开发运维】本地开发验证与生产运维-2026-05-15.md``docs/【后端架构】server-rs与SpacetimeDB数据契约-2026-05-15.md`
## 2026-05-19 OTLP 默认开启但日志本地输出保留
- 背景:生产和容器环境需要默认把 OTLP 接到本机 Collector,但压测或排障时也要能显式关闭。
- 决策:生产与容器 `api-server` env 模板默认 `GENARRATIVE_OTEL_ENABLED=true`;生产 endpoint 用 `http://127.0.0.1:4318`,容器 endpoint 用 `http://otelcol:4318``OTEL_EXPORTER_OTLP_ENDPOINT` 只填 Collector HTTP base endpoint,不填 gRPC `4317` 或 Rider 端口;本地日志、Nginx 日志和 `GENARRATIVE_API_LOG` / `RUST_LOG` 仍保留。
- 影响范围:`deploy/env/api-server.env.example``deploy/container/api-server.env.example``docs/【开发运维】本地开发验证与生产运维-2026-05-15.md``scripts/loadtest/README.md`
- 验证方式:检查 env 模板默认值与端点口径;压测若要关闭 OTLP,必须显式设置 `GENARRATIVE_OTEL_ENABLED=false`
- 关联文档:`docs/【开发运维】本地开发验证与生产运维-2026-05-15.md``scripts/run-otelcol.mjs`
## 2026-05-19 容器 collector 可切 Grafana Cloud
- 背景:容器隔离压测时除了本地 debug exporter,还需要临时把 traces / metrics / logs 转发到 Grafana Cloud 做可视化验证。
- 决策:`deploy/container/docker-compose.loadtest.yml` 里的 `otelcol` 支持通过 `GENARRATIVE_CONTAINER_OTELCOL_CONFIG=./otelcol.grafana.yaml` 切换配置;`deploy/container/otelcol.grafana.yaml` 同时保留 debug exporter,并通过 `GRAFANA_CLOUD_OTLP_ENDPOINT``GRAFANA_CLOUD_BASIC_AUTH_HEADER` 转发到 Grafana Cloud。
- 影响范围:`deploy/container/docker-compose.loadtest.yml``deploy/container/otelcol.grafana.yaml``deploy/container/README.md`
- 验证方式:容器 `otelcol` 启动日志应能看到 OTLP receiver readydebug exporter 仍可输出本地链路;Grafana Cloud 转发凭据只通过当前 shell 环境变量传入,不写入 Git。
- 关联文档:`deploy/container/README.md``scripts/loadtest/README.md`
## 2026-05-17 容器化方案只作为隔离压测与预发模拟路径
- 背景:Windows 本机直连极高 VU 压测会放大本地连接与发送缓冲行为,和线上 Linux + Nginx + systemd 拓扑不一致;需要一个更接近生产网络层的模拟方案,但不能扰动当前生产发布链路。
- 决策:新增 `deploy/container/` 容器化方案,使用 Docker Compose 组合 Linux release `api-server`、容器 Nginx、`otelcol-contrib` debug exporter 和可选 k6。该方案只用于本机或预发压测模拟,不替换当前生产 `systemd + Nginx + Jenkins` 路径。
- 决策:新增 `deploy/container/` 容器化方案,使用 Docker Compose 组合 Linux release `api-server`、容器 SpacetimeDB、容器 Nginx、`otelcol-contrib` debug exporter 和可选 k6。该方案只用于本机或预发压测模拟,不替换当前生产 `systemd + Nginx + Jenkins` 路径。
- 服务器模拟参数:2026-05-18 通过 `ssh genarrative-release` 采样,目标机器为 2 vCPU / 约 2 GiB RAM / Ubuntu 24.04 / Nginx `worker_connections=768`;容器方案按待发布运行口径使用 `nofile=4096`,并在 compose 中限制 `spacetimedb cpus=1.0 mem_limit=768m``api-server cpus=2.0 mem_limit=1g``nginx cpus=0.25 mem_limit=128m``otelcol cpus=0.25 mem_limit=128m``k6 cpus=0.5 mem_limit=512m`Collector 镜像默认使用 `otel/opentelemetry-collector-contrib:0.151.0`
- 隔离边界:容器方案使用独立 `deploy/container/api-server.env`、独立 Nginx 配置、独立 compose 命令和默认 `18080` 端口;真实 token 不进入镜像、不提交 Git;生产 systemd 单元、Jenkins 发布脚本和 `deploy/nginx/` 模板仍是正式线上来源。
- 生产 Collectorserver-provision 可安装 `otelcol-contrib.service` 和本机 debug exporter 配置,但二进制由 Jenkins 构建机先准备 `provision-tools/otelcol-contrib` 再上传到 release 部署 agent,目标机不从 GitHub 下载;api-server 是否发送 OTLP 仍由 `GENARRATIVE_OTEL_ENABLED` 控制。
- 影响范围:`deploy/container/``scripts/container-compose.mjs``package.json` 容器命令、开发运维文档和容器 build context 排除规则。
- 验证方式:执行 `npm run container:config` 展开 compose 配置;需要真实运行时再执行 `npm run container:build``npm run container:up``npm run container:k6`,并结合容器 Nginx log 与 OTLP debug exporter 判断瓶颈。
- 关联文档:`deploy/container/README.md``docs/【开发运维】本地开发验证与生产运维-2026-05-15.md`
## 2026-05-18 生产 provision 改为构建机准备工具包再上传安装
- 背景:目标 release 服务器无法访问 GitHub,之前的 server provision 默认仍假设 `spacetime``otelcol-contrib` 已经存在于目标机本地路径,和真实运维条件不符。
- 决策:Jenkins 新增 `Prepare Provision Tools` 阶段,在 `linux && genarrative-build` 构建机执行 `scripts/prepare-server-provision-tools.sh`,通过官方 SpacetimeDB 安装入口和 OpenTelemetry release 包生成 `provision-tools/`,再用 `stash/unstash` 带到 release 部署 agent`scripts/jenkins-server-provision.sh` 只从工作区工具包复制安装,不再要求目标机自己下载或预装二进制。
- 影响范围:`jenkins/Jenkinsfile.production-server-provision``scripts/prepare-server-provision-tools.sh``scripts/jenkins-server-provision.sh`、生产运维文档。
- 验证方式:Jenkins 构建机可完成工具包准备,release 部署 agent 只消费工作区文件;目标机不再依赖 GitHub 外网下载。
- 关联文档:`docs/【开发运维】本地开发验证与生产运维-2026-05-15.md`
## 2026-05-19 公开 gallery 入口发布限流以快拒绝保护后端
- 背景:容器 2C / 2G 压测中,公开作品列表在约 5000 HTTP req/s 目标下可以保持 200 请求低延迟,但 SpacetimeDB 内存会随 api-server 重连和高压请求累积到容器上限附近。
- 决策:发布配置采用公开 gallery list 专用入口限流:Nginx `genarrative_gallery_rps rate=5000r/s``burst=4096`、gallery list `limit_conn=320`api-server 对应 `GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS=320`,公开详情维持更低的 `GENARRATIVE_API_DETAIL_MAX_CONCURRENT_REQUESTS=64`。超过容量时接受明确 `429`,不继续扩大入口并发。
- 影响范围:`deploy/nginx/` 发布模板、`deploy/env/api-server.env.example``deploy/container/` 隔离压测模板和生产运维文档。
- 验证方式:容器连续 10 轮不重启 SpacetimeDB 压测,`PEAK_RPS=2500` 等价约 5000 HTTP req/s,平均实际吞吐约 `4219 HTTP req/s`,总计 `0` 个 5xx200 请求平均 `p95=123ms``p99=234ms`;同时观察 SpacetimeDB 内存高水位,后续优化先处理连接 / 订阅 / tracking 下游状态。
- 关联文档:`docs/【开发运维】本地开发验证与生产运维-2026-05-15.md``deploy/container/README.md`
## 2026-05-16 公开作品列表短期由 BFF 订阅读模型缓存
- 背景:作品列表压测和实时性讨论中,曾考虑让浏览器前端直接订阅公开作品列表,减少 HTTP 拉取和 BFF 压力。
@@ -72,8 +113,6 @@
- 验证方式:新增公开作品列表订阅能力时,检查前端只消费专用 public read model 或 BFF HTTP DTO;检查源表 row shape、权限判断和跨玩法聚合没有下沉到前端页面。
- 关联文档:`docs/【后端架构】server-rs与SpacetimeDB数据契约-2026-05-15.md``docs/【开发运维】本地开发验证与生产运维-2026-05-15.md`
## 2026-05-16 api-server OpenTelemetry 统一补齐 traces metrics logs
- 背景:压测与运行观测需要把 HTTP、SpacetimeDB 调用和应用日志串起来,同时保留本地 `journalctl` / 文件日志做故障排障。
- 决策:`api-server` 通过 OTLP HTTP base endpoint 发送 traces、metrics 和 logsCollector 统一用 `otelcol-contrib``npm run otel:debug` 负责 debug 采集,`npm run otel:rider` 负责转发到 Rider;Rider 只是接收与可视化端,不直接替代 Collector。
- 日志口径:Rider Logs 面板只展示 log event 自身字段,请求完成日志需要直接携带 `request_id`、HTTP method、规范化 route、scheme、path、status、status_class、latency 和 slow_request;更完整的 request attributes 仍以 trace/span 为准。
@@ -589,3 +628,11 @@
- 影响范围:用户侧任务中心、后台任务配置、运营查询、埋点查询、钱包流水。
- 验证方式:非 `user` scope 的个人任务配置应被 API 和领域构造层拒绝;任务查询与埋点查询分别放在 `docs/operations/``docs/tracking/`
- 关联文档:`PROFILE_TASK_AND_TRACKING_SYSTEM_2026-05-03.md``RUNTIME_PROFILE_TASK_SCOPE_2026-05-04.md``ANALYTICS_DATE_DIMENSION_IMPLEMENTATION_2026-05-04.md`
## 普通 route tracking 先写本机 outbox 再批量入库
- 背景:公开作品列表压测中,成功响应后的全局 route tracking 会逐条调用 SpacetimeDB,导致数据库内存和事务压力先到边界。
- 决策:普通 HTTP route tracking 先写入 `api-server` 本机 NDJSON outbox,后台按数量或时间阈值批量调用 SpacetimeDB`daily_login``work_play_start`、支付、任务领奖、钱包等关键事件保持同步直写。
- 默认阈值:每批 500 条或 1 秒 flush 一次;outbox 磁盘上限 256 MiB,超过后丢弃低价值 route 事件并记录指标 / 日志。
- 影响范围:`api-server` tracking 中间件、SpacetimeDB tracking procedure、部署数据目录、OTLP 指标和运维排障。
- 验证方式:数据库不可用时公开 route 请求不失败且 outbox 文件保留;恢复后批量写入成功并删除本地 sealed 文件;关键事件仍立即影响任务 / 统计。
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- 验证:拼图入口测试仍可通过,且新组件可通过不同页面复用而不需要复制上传卡实现。
- 关联:`src/components/common/CreativeImageInputPanel.tsx``src/components/puzzle-agent/PuzzleAgentWorkspace.tsx`
## OTLP 端点只填 Collector HTTP base endpoint
- 现象:生产或容器 env 里把 `OTEL_EXPORTER_OTLP_ENDPOINT` 填成 `4317`、Rider 端口或别的非 HTTP base endpoint 后,api-server 发不出 OTLP,或者链路被错误转发。
- 原因:api-server 当前走 OTLP HTTP,不是 gRPCCollector 才是接收和转发边界。
- 处理:生产模板用 `http://127.0.0.1:4318`,容器模板用 `http://otelcol:4318`;需要关闭时显式设 `GENARRATIVE_OTEL_ENABLED=false`,不要通过改 endpoint 绕开 Collector 语义。
- 验证:检查 env 模板和运行态配置都指向 Collector HTTP base endpoint,日志仍通过 `journalctl` / 文件日志保留。
- 关联:`deploy/env/api-server.env.example``deploy/container/api-server.env.example``docs/【开发运维】本地开发验证与生产运维-2026-05-15.md`
## tracking outbox 到批量阈值后先封存再异步 flush
- 现象:route tracking 高峰时如果主请求线程要等 SpacetimeDB 批量入库,接口延迟会被 outbox 写入链路拖长。
- 原因:outbox 的职责是把普通 HTTP route tracking 从请求线程切走,不能把 flush 结果回写成同步阻塞。
- 处理:达到 `BATCH_SIZE` 立即封存 active 文件并切新 active`FLUSH_INTERVAL_MS` 只做兜底封存,后台 worker 异步 flush sealed 文件;成功删文件,失败保留重试,坏文件隔离为 `corrupt-*``MAX_BYTES` 只做磁盘保护。
- 验证:普通 route 请求在 SpacetimeDB 不可用时仍能返回,恢复后 sealed 文件会继续被清理。
- 关联:`server-rs/crates/api-server/src/tracking_outbox.rs``docs/【开发运维】本地开发验证与生产运维-2026-05-15.md`
## 汪汪声浪入口不要再回到独立配置阶段
- 现象:汪汪声浪入口如果继续切换到独立配置阶段,会和拼图、抓大鹅的创作页内嵌结构不一致,用户会感觉入口跳页。
@@ -107,6 +123,22 @@
- 验证:对照打 `/api/runtime/puzzle/gallery``/healthz`;对比 `PREALLOCATED_VUS=300 MAX_VUS=800``PREALLOCATED_VUS=20 MAX_VUS=40`;压测结束后继续采样 10 秒确认 private memory 回落。
- 关联:`scripts/loadtest/README.md``docs/【开发运维】本地开发验证与生产运维-2026-05-15.md``server-rs/crates/api-server/src/process_metrics.rs``server-rs/crates/api-server/src/telemetry.rs`
## 容器高 VU 下 `/healthz` RSS 尖峰先查 Axum state 深拷贝
- 现象:容器 Linux release `api-server``/healthz`500 HTTP req/s、`PREALLOCATED_VUS=100` 只跑 1 秒也能把 RSS 推到约 1 GiB;同样问题与作品列表、SpacetimeDB procedure、业务 cache 和请求日志等级无关。
- 原因:`AppState` 曾直接 `#[derive(Clone)]` 大结构体,里面包含配置、SpacetimeDB client、平台服务、认证服务和多组 cache。Axum/Hyper 会在 router/service/connection 路径频繁 clone state,高并发 keepalive 下会放大为状态深拷贝高水位。
- 处理:`server-rs/crates/api-server/src/state.rs``AppState` 必须保持 `Arc<AppStateInner>` 浅拷贝壳;新增共享状态字段时放入 `AppStateInner`,不要把外层改回大结构体 clone。
- 验证:用容器内 k6 直连 `api-server:8082/healthz`500 HTTP req/s、`PREALLOCATED_VUS=100`、30 秒压测后采样 `/proc/$pid/status``/proc/$pid/smaps_rollup` 和 cgroup `memory.current/memory.peak`。2026-05-18 修复后结果为 `15001` 请求、`http_req_failed=0``dropped_iterations=0`RSS 约 18 MiB -> 52 MiBcgroup peak 约 47 MiB。
- 关联:`server-rs/crates/api-server/src/state.rs``deploy/container/README.md``deploy/container/api-server.Dockerfile`
## Gallery 压测延迟升高先查入口过量放行和 TTL 边界刷新
- 现象:公开作品列表在 500-1000 HTTP req/s 附近可能吞吐没有明显提升,但 p95 变高、VU 上升,甚至出现排队和 dropped iterations。
- 原因:Nginx、Axum 和缓存刷新边界如果同时允许过多请求进入,压力会先堆在连接、service 和 cache rebuild 周围;这类延迟不等同于数据库连接池不足。
- 处理:Nginx 按 endpoint 使用 `limit_req` 快拒绝,api-server 按 `default/gallery/detail/admin` 分组 semaphore 快拒绝;拼图广场 TTL 过期时已有缓存先返回 stale 响应,只允许一个后台 refresh 任务重建,冷启动无缓存时才同步构建。
- 验证:OTLP 看 `genarrative.http.server.request_permits.available{pool=...}``genarrative.puzzle_gallery.cache.stale_hits``refreshes_started``refreshes_failed`Nginx access log 看 `request_time``upstream_response_time` 是否同步收敛;超过容量时应明确 429,而不是长时间排队或新增 502。
- 关联:`deploy/nginx/genarrative.conf``deploy/container/nginx.conf``server-rs/crates/api-server/src/backpressure.rs``server-rs/crates/api-server/src/puzzle_gallery_cache.rs`
## 多玩法公开广场列表优先订阅 public view / read model
- 现象:抓大鹅、方洞挑战、视觉小说、大鱼吃小鱼等公开列表如果沿用 `list_*_works` procedure,即使只读已发布作品,也会在每个 HTTP 请求里回到 SpacetimeDB WASM 侧扫描、反序列化配置并组装列表,50RPS 以上容易变成热点。
@@ -824,6 +856,22 @@
- 验证:执行 `cargo test -p api-server jsapi_order_request_sets_wechat_required_http_headers --manifest-path server-rs/Cargo.toml`
- 关联:`server-rs/crates/api-server/src/wechat_pay.rs``docs/technical/MY_TAB_ACCOUNT_RECHARGE_IMPLEMENTATION_2026-04-25.md`
## 容器公开列表压测不要靠继续抬并发吃满 CPU
- 现象:2C / 2G 容器压测公开 gallery list 时,`api-server` CPU 仍有余量,看起来像可以继续提高 `GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS` 或 Nginx `limit_conn`
- 原因:当前瓶颈不是 Tokio worker 线程数。`/api/runtime/puzzle/gallery``/api/runtime/custom-world-gallery` 成功响应后会走全局 route tracking,继续向 SpacetimeDB 写 `record_tracking_event_and_return`;入口并发从 320 抬到 336 / 352 时,SpacetimeDB 内存先逼近 `896m` 容器上限,200 请求 p95 变差,429 比例没有改善。
- 处理:2C / 2G 容器模拟里公开 gallery list 暂以 `limit_conn=320``GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS=320` 作为稳定上限。若要继续提升吞吐,优先减少高频公开 GET 的 tracking 写入、做采样或改成批量/异步聚合;不要单纯放大入口并发。
- 验证:宿主机 k6 打 `http://127.0.0.1:18080``PEAK_RPS=1000` 等价约 2000 HTTP req/s320 档无 dropped iterations、无 5xx、无 OOM200 请求 `request_time p95` 约 0.292s。336 / 352 档 p95 升到约 0.31s / 0.32sSpacetimeDB 内存尾部可到约 `880MiB / 896MiB`
- 关联:`deploy/container/nginx.conf``deploy/container/api-server.env.example``deploy/container/README.md``server-rs/crates/api-server/src/tracking.rs`
## tracking outbox 成功入库后删除 sealed 文件
- 现象:普通 route tracking 改为本机 outbox 后,容易误以为入库成功只需要清空文件内容。
- 原因:清空文件会扩大崩溃窗口,进程在 truncate 和确认之间异常退出时可能丢失未确认事件。
- 处理:当前 active NDJSON 达到数量或时间阈值后原子 rename 为 sealed 文件;后台批量 flush sealed 文件,SpacetimeDB 返回成功后直接删除该文件,失败则保留文件等待重试。sealed 文件如果出现无法解析的坏行,重命名为 `corrupt-*` 隔离并记录指标,避免阻塞后续批量入库。该路径是至少一次投递,重复事件由 `tracking_event.event_id` 幂等跳过。
- 验证:模拟 SpacetimeDB 不可用时 sealed 文件保留;恢复后批量 procedure 成功,sealed 文件消失,`tracking_event``tracking_daily_stat` 均更新。
- 关联:`docs/【开发运维】本地开发验证与生产运维-2026-05-15.md``server-rs/crates/api-server/src/tracking.rs``server-rs/crates/spacetime-module/src/runtime/profile.rs`
## 后台表查询展示 SpacetimeDB 枚举时不要套用 Option 解码
- 现象:后台“表查询”查看 `profile_recharge_order` 时,`kind``status` 显示为空数组 `[]`,例如充值订单原始行里 `points_60` 的类型和状态都不可读。
+56 -5
View File
@@ -6,20 +6,28 @@
```text
Docker Compose
├─ spacetimedb :3101,独立数据卷,供 api-server 连接
├─ nginx :80 -> api-server:8082,负责静态站点、/admin/、/api/ 反代、upstream timing log、连接限制
├─ api-server :8082Linux release 构建,连接外部 SpacetimeDB
├─ api-server :8082Linux release 构建,连接 compose 内 SpacetimeDB
├─ otelcol :4317/4318debug exporter,接收 traces / metrics / logs
└─ k6 profile=loadtest 时临时启动,在 compose 网络内压 nginx
```
当前容器模拟参数按 `genarrative-release` 服务器采样值收口为 2 vCPU / 2 GiB RAM / 4096 soft nofile / 768 worker_connections,并已在 compose 里落实到 `spacetimedb cpus=1.0 mem_limit=896m``api-server cpus=2.0 mem_limit=1g``nginx cpus=0.5 mem_limit=128m``otelcol cpus=0.25 mem_limit=128m``k6 cpus=1.0 mem_limit=512m`。SpacetimeDB 同时设置 `--page_pool_max_size=402653184`,给 reducer、订阅与运行时保留更多非 page pool 内存。
容器 `api-server` 默认 `GENARRATIVE_API_WORKER_THREADS=4`,用于让 Tokio 在 2 vCPU 配额内有更多 I/O 调度 worker;该值不会突破 compose 里的 `cpus=2.0` CPU 上限。
Collector 镜像使用 `otel/opentelemetry-collector-contrib:0.151.0`
生产服务器若启用 Collector,则由 `deploy/systemd/otelcol-contrib.service``deploy/otelcol/genarrative-debug.yaml` 托管,不走容器镜像。
默认 host 端口:
- `http://127.0.0.1:13101`:容器 SpacetimeDB。
- `http://127.0.0.1:18080`:容器 Nginx。
- `127.0.0.1:4317` / `127.0.0.1:4318`:容器 Collector OTLP gRPC / HTTP。
如端口冲突,可设置:
```powershell
$env:GENARRATIVE_CONTAINER_SPACETIME_PORT="13102"
$env:GENARRATIVE_CONTAINER_HTTP_PORT="18081"
$env:GENARRATIVE_CONTAINER_OTLP_HTTP_PORT="14318"
$env:GENARRATIVE_CONTAINER_OTLP_GRPC_PORT="14317"
@@ -33,21 +41,29 @@ npm run container:init
该命令会从 `deploy/container/api-server.env.example` 生成本地 `deploy/container/api-server.env`。真实 token、库名和外部服务密钥只写本地 env 文件,不提交 Git。
Docker Desktop 下默认通过 `host.docker.internal:3101` 连接宿主机上 `npm run dev` 启动的 SpacetimeDB
Docker Desktop 下默认通过 `http://spacetimedb:3101` 连接 compose 内 SpacetimeDB;宿主机只负责用 CLI 发布模块
```env
GENARRATIVE_SPACETIME_SERVER_URL=http://host.docker.internal:3101
GENARRATIVE_SPACETIME_SERVER_URL=http://spacetimedb:3101
GENARRATIVE_SPACETIME_DATABASE=genarrative-loadtest
GENARRATIVE_SPACETIME_TOKEN=
```
Linux Docker Engine 如果不能解析 `host.docker.internal`Compose 已配置 `host-gateway`;仍不通时把 `GENARRATIVE_SPACETIME_SERVER_URL` 改成宿主机网关 IP 或同网络内的 SpacetimeDB 地址
宿主机发布模块时,先用 CLI 向 `http://127.0.0.1:13101` 发布到 `genarrative-loadtest`,再启动 `npm run container:up`
Linux Docker Engine 若要从宿主机 CLI 连到容器内服务,直接用 `http://127.0.0.1:13101`;容器内部服务之间统一走 `http://spacetimedb:3101`
## 构建工具链
`api-server` 容器镜像只构建 Linux release API 二进制,不构建 `spacetime-module`。当前 `api-server -> spacetime-client -> spacetimedb-sdk 2.2.0` 依赖链要求 Rust 1.93,因此 `deploy/container/api-server.Dockerfile` 的 Rust builder 固定为 `rust:1.93-bookworm`。如果本机 Docker Hub 拉取失败,可以先在本机准备同名本地 builder 镜像,但不要把临时 bootstrap 容器或私有 registry 凭据写入仓库。
## 启动与验证
```bash
npm run container:config
npm run container:build
npm run container:up -- spacetimedb
spacetime publish genarrative-loadtest --server http://127.0.0.1:13101 --module-path server-rs/crates/spacetime-module --yes --build-options="--debug"
npm run container:up
npm run container:ps
curl -sS http://127.0.0.1:18080/api/runtime/puzzle/gallery
@@ -103,7 +119,30 @@ $env:DETAIL_RATIO="0"
npm run container:k6
```
如果要压 1000 HTTP req/s,把 `PEAK_RPS` 调到 `500`;如果要压 5000 HTTP req/s,把 `PEAK_RPS` 调到 `2500`,并同时提高 `PREALLOCATED_VUS` / `MAX_VUS`,观察是否先被带宽、Nginx `limit_conn` 或 api-server 背压限制
容器内 `api-server` 资源上限与 Nginx 连接模型已经按 `genarrative-release` 的 2C / 2G / `nofile=4096` / `worker_connections=768` 收口;如果你要改成别的机器,就先重新采样再改这里
SpacetimeDB 容器默认只提供运行时,不自动发布模块。首次启动或清理 `spacetime-data` 卷后,先只启动 `spacetimedb` 服务,再发布模块:
```bash
npm run container:up -- spacetimedb
spacetime publish genarrative-loadtest --server http://127.0.0.1:13101 --module-path server-rs/crates/spacetime-module --yes --build-options="--debug"
```
发布完成后再执行 `npm run container:up``npm run container:k6`。如果 `deploy/container/api-server.env` 里的 `GENARRATIVE_SPACETIME_DATABASE` 改成了别的库名,发布命令里的库名也要同步修改。
如果要压 1000 HTTP req/s,把 `PEAK_RPS` 调到 `500`;如果要压 5000 HTTP req/s,把 `PEAK_RPS` 调到 `2500`,并同时提高 `PREALLOCATED_VUS` / `MAX_VUS`,观察是否先被带宽、Nginx `limit_conn` / `limit_req` 或 api-server 分组背压限制。当前容器 Nginx 对公开 gallery list 使用 `genarrative_gallery_rps`,公开详情和普通 API 使用 `genarrative_api_rps`,后台 API 使用 `genarrative_admin_rps`api-server 侧对应 `GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS``GENARRATIVE_API_DETAIL_MAX_CONCURRENT_REQUESTS``GENARRATIVE_API_ADMIN_MAX_CONCURRENT_REQUESTS`
2026-05-19 的 2C / 2G 容器压测结论:公开 gallery list 的 `limit_conn=320``limit_req rate=5000r/s burst=4096``GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS=320` 是当前发布口径。用宿主机 k6 打 `http://127.0.0.1:18080``PEAK_RPS=2500` 等价于约 5000 HTTP req/s 的两接口组合压测;连续 10 轮不重启 SpacetimeDB 的平均实际吞吐约 `4219 HTTP req/s`,总计 `1,897,357` 个 200、`212,542` 个 429、`0` 个 5xx200 请求平均 `p95=123ms``p99=234ms`。该档会让 SpacetimeDB 内存从约 `366MiB` 累积到约 `885MiB / 896MiB`,下游内存先到危险区。当前不要为了降低“剩余 CPU”继续抬公开列表并发;下一步应减少成功列表请求后的 SpacetimeDB tracking 写入或优化下游连接 / 订阅状态,而不是放大入口并发。
### 内存采样
排查 API 容器内存时,优先对比压测前后的 `/proc/$pid/smaps_rollup` 和 cgroup 当前/峰值,不把 Windows 任务管理器总占用当成单进程结论:
```bash
docker exec genarrative-container-loadtest-api-server-1 sh -c 'pid=$(pidof api-server); grep VmRSS /proc/$pid/status; grep RssAnon /proc/$pid/status; cat /proc/$pid/smaps_rollup | grep Anonymous; echo cgroup_current=$(cat /sys/fs/cgroup/memory.current); echo cgroup_peak=$(cat /sys/fs/cgroup/memory.peak)'
```
`/healthz` 也能复现的内存尖峰应先按连接层、service clone 或 allocator 高水位排查,不要直接归因到 SpacetimeDB procedure、作品列表 cache 或业务 DTO。2026-05-18 验证:`AppState` 改为 `Arc<AppStateInner>` 浅拷贝后,容器内直连 `api-server:8082/healthz` 的 500 HTTP req/s、`PREALLOCATED_VUS=100`、30 秒压测完成 `15001` 次请求,`http_req_failed=0``dropped_iterations=0`API 进程 RSS 从约 18 MiB 升至约 52 MiBcgroup 峰值约 47 MiB,未再出现 1 GiB 级尖峰。
## OTLP
@@ -123,6 +162,18 @@ npm run container:logs -- otelcol
Collector 日志会输出 traces / metrics / logs。接 Rider、Jaeger、Tempo、Prometheus、Grafana 或托管平台时,另建独立 Collector 配置,不直接改生产 systemd 或 Nginx 模板。
容器内需要临时转发到 Grafana Cloud 时,切换 Collector 配置并从当前 shell 传入 Grafana Cloud 凭据;真实 token 不写入仓库文件:
```powershell
$env:GENARRATIVE_CONTAINER_OTELCOL_CONFIG="./otelcol.grafana.yaml"
$env:GRAFANA_CLOUD_OTLP_ENDPOINT="https://..."
$env:GRAFANA_CLOUD_BASIC_AUTH_HEADER="Basic ..."
npm run container:up
npm run container:logs -- otelcol
```
`deploy/container/otelcol.grafana.yaml` 会同时保留本地 debug exporter,并通过 `otlphttp/grafana` 把 traces / metrics / logs 发到 Grafana Cloud。
## 隔离边界
- 不改生产 systemd 单元。
+5 -3
View File
@@ -1,4 +1,4 @@
FROM rust:1.88-bookworm AS rust-builder
FROM rust:1.93-bookworm AS rust-builder
WORKDIR /workspace
COPY server-rs ./server-rs
@@ -15,7 +15,7 @@ RUN apt-get update && \
COPY --from=rust-builder /tmp/api-server /usr/local/bin/api-server
RUN mkdir -p /var/lib/genarrative/auth && \
RUN mkdir -p /var/lib/genarrative/auth /var/lib/genarrative/tracking-outbox && \
chown -R genarrative:genarrative /srv/genarrative /var/lib/genarrative
USER genarrative
@@ -24,7 +24,8 @@ EXPOSE 8082
ENV GENARRATIVE_ENV=container \
GENARRATIVE_API_HOST=0.0.0.0 \
GENARRATIVE_API_PORT=8082 \
GENARRATIVE_AUTH_STORE_PATH=/var/lib/genarrative/auth/auth-store.json
GENARRATIVE_AUTH_STORE_PATH=/var/lib/genarrative/auth/auth-store.json \
GENARRATIVE_TRACKING_OUTBOX_DIR=/var/lib/genarrative/tracking-outbox
CMD ["api-server"]
@@ -36,6 +37,7 @@ COPY apps/admin-web/package.json ./apps/admin-web/package.json
RUN npm ci
COPY index.html metadata.json tsconfig.json vite.config.ts ./
COPY scripts/vite-cli.mjs scripts/admin-web-build.mjs ./scripts/
COPY src ./src
COPY public ./public
COPY media ./media
+11 -4
View File
@@ -9,8 +9,16 @@ GENARRATIVE_API_LOG=info,tower_http=info
GENARRATIVE_API_LISTEN_BACKLOG=1024
GENARRATIVE_API_WORKER_THREADS=4
GENARRATIVE_API_MAX_CONCURRENT_REQUESTS=512
GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS=320
GENARRATIVE_API_DETAIL_MAX_CONCURRENT_REQUESTS=64
GENARRATIVE_API_ADMIN_MAX_CONCURRENT_REQUESTS=16
GENARRATIVE_TRACKING_OUTBOX_ENABLED=true
GENARRATIVE_TRACKING_OUTBOX_DIR=/var/lib/genarrative/tracking-outbox
GENARRATIVE_TRACKING_OUTBOX_BATCH_SIZE=500
GENARRATIVE_TRACKING_OUTBOX_FLUSH_INTERVAL_MS=1000
GENARRATIVE_TRACKING_OUTBOX_MAX_BYTES=268435456
GENARRATIVE_OTEL_ENABLED=false
GENARRATIVE_OTEL_ENABLED=true
OTEL_SERVICE_NAME=genarrative-api
OTEL_EXPORTER_OTLP_ENDPOINT=http://otelcol:4318
OTEL_RESOURCE_ATTRIBUTES=deployment.environment=container,service.namespace=genarrative
@@ -21,9 +29,8 @@ GENARRATIVE_JWT_SECRET=CHANGE_ME_FOR_CONTAINER
AUTH_REFRESH_COOKIE_SECURE=false
GENARRATIVE_AUTH_STORE_PATH=/var/lib/genarrative/auth/auth-store.json
# Docker Desktop 下连接宿主机 npm run dev 启动的 SpacetimeDB
# Linux Docker Engine 可改成宿主机网关 IP,或在 compose 里接入同一网络内的 SpacetimeDB。
GENARRATIVE_SPACETIME_SERVER_URL=http://host.docker.internal:3101
# 默认连接 compose 内部 SpacetimeDB;宿主机发布模块使用 127.0.0.1:13101
GENARRATIVE_SPACETIME_SERVER_URL=http://spacetimedb:3101
GENARRATIVE_SPACETIME_DATABASE=genarrative-loadtest
GENARRATIVE_SPACETIME_TOKEN=
GENARRATIVE_SPACETIME_POOL_SIZE=8
+64 -2
View File
@@ -1,11 +1,48 @@
name: genarrative-container-loadtest
services:
spacetimedb:
image: clockworklabs/spacetime:v2.2.0
user: root
command:
[
"start",
"--listen-addr",
"0.0.0.0:3101",
"--data-dir",
"/var/lib/spacetimedb",
"--page_pool_max_size",
"402653184",
"--non-interactive",
]
cpus: "1.0"
mem_limit: 896m
ports:
- "${GENARRATIVE_CONTAINER_SPACETIME_PORT:-13101}:3101"
volumes:
- spacetime-data:/var/lib/spacetimedb
ulimits:
nofile:
soft: 4096
hard: 4096
healthcheck:
test:
[
"CMD-SHELL",
"spacetime server ping http://127.0.0.1:3101 >/dev/null 2>&1",
]
interval: 10s
timeout: 5s
retries: 12
start_period: 20s
api-server:
build:
context: ../..
dockerfile: deploy/container/api-server.Dockerfile
target: api-runtime
cpus: "2.0"
mem_limit: 1g
env_file:
- ./api-server.env
environment:
@@ -16,7 +53,14 @@ services:
- "host.docker.internal:host-gateway"
volumes:
- api-auth-store:/var/lib/genarrative/auth
- api-tracking-outbox:/var/lib/genarrative/tracking-outbox
ulimits:
nofile:
soft: 4096
hard: 4096
depends_on:
spacetimedb:
condition: service_healthy
otelcol:
condition: service_started
healthcheck:
@@ -31,15 +75,23 @@ services:
context: ../..
dockerfile: deploy/container/api-server.Dockerfile
target: nginx-runtime
cpus: "0.5"
mem_limit: 128m
depends_on:
api-server:
condition: service_healthy
spacetimedb:
condition: service_healthy
ports:
- "${GENARRATIVE_CONTAINER_HTTP_PORT:-18080}:80"
extra_hosts:
- "host.docker.internal:host-gateway"
volumes:
- nginx-logs:/var/log/nginx
ulimits:
nofile:
soft: 4096
hard: 4096
healthcheck:
test: ["CMD", "wget", "-qO-", "http://127.0.0.1/api/runtime/puzzle/gallery"]
interval: 10s
@@ -48,10 +100,16 @@ services:
start_period: 20s
otelcol:
image: otel/opentelemetry-collector-contrib:0.125.0
image: otel/opentelemetry-collector-contrib:0.151.0
command: ["--config=/etc/otelcol/config.yaml"]
cpus: "0.25"
mem_limit: 128m
environment:
GRAFANA_CLOUD_OTLP_ENDPOINT: ${GRAFANA_CLOUD_OTLP_ENDPOINT:-}
GRAFANA_CLOUD_BASIC_AUTH_HEADER: ${GRAFANA_CLOUD_BASIC_AUTH_HEADER:-}
HOSTNAME: ${HOSTNAME:-genarrative-container-loadtest}
volumes:
- ./otelcol.yaml:/etc/otelcol/config.yaml:ro
- ${GENARRATIVE_CONTAINER_OTELCOL_CONFIG:-./otelcol.yaml}:/etc/otelcol/config.yaml:ro
ports:
- "${GENARRATIVE_CONTAINER_OTLP_GRPC_PORT:-4317}:4317"
- "${GENARRATIVE_CONTAINER_OTLP_HTTP_PORT:-4318}:4318"
@@ -59,6 +117,8 @@ services:
k6:
image: grafana/k6:0.52.0
profiles: ["loadtest"]
cpus: "1.0"
mem_limit: 512m
depends_on:
nginx:
condition: service_healthy
@@ -81,5 +141,7 @@ services:
command: ["run", "k6-works-list.js"]
volumes:
spacetime-data:
api-auth-store:
api-tracking-outbox:
nginx-logs:
+90 -3
View File
@@ -1,7 +1,7 @@
worker_processes auto;
events {
worker_connections 4096;
worker_connections 768;
}
http {
@@ -21,6 +21,9 @@ http {
}
limit_conn_zone $binary_remote_addr zone=genarrative_api_conn:10m;
limit_req_zone $binary_remote_addr zone=genarrative_gallery_rps:10m rate=5000r/s;
limit_req_zone $binary_remote_addr zone=genarrative_api_rps:10m rate=300r/s;
limit_req_zone $binary_remote_addr zone=genarrative_admin_rps:10m rate=30r/s;
sendfile on;
keepalive_timeout 65;
@@ -48,6 +51,8 @@ http {
error_log /var/log/nginx/genarrative.error.log warn;
limit_conn_status 429;
limit_conn_log_level warn;
limit_req_status 429;
limit_req_log_level warn;
root /srv/genarrative/web;
index index.html;
@@ -55,6 +60,7 @@ http {
location ^~ /admin/api/ {
default_type application/json;
limit_conn genarrative_api_conn 64;
limit_req zone=genarrative_admin_rps burst=16 nodelay;
proxy_pass http://genarrative_api/admin/api/;
proxy_http_version 1.1;
@@ -82,9 +88,90 @@ http {
try_files $uri =404;
}
location = /api/runtime/puzzle/gallery {
default_type application/json;
limit_conn genarrative_api_conn 320;
limit_req zone=genarrative_gallery_rps burst=4096 nodelay;
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location = /api/runtime/custom-world-gallery {
default_type application/json;
limit_conn genarrative_api_conn 320;
limit_req zone=genarrative_gallery_rps burst=4096 nodelay;
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location ~ ^/api/runtime/puzzle/gallery/[^/]+$ {
default_type application/json;
limit_conn genarrative_api_conn 32;
limit_req zone=genarrative_api_rps burst=32 nodelay;
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location ~ ^/api/runtime/custom-world-gallery/[^/]+/[^/]+$ {
default_type application/json;
limit_conn genarrative_api_conn 32;
limit_req zone=genarrative_api_rps burst=32 nodelay;
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location ~ ^/api(?:/|$) {
default_type application/json;
limit_conn genarrative_api_conn 64;
limit_req zone=genarrative_api_rps burst=64 nodelay;
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
@@ -106,7 +193,7 @@ http {
}
location ~ ^/v1/database/[^/]+/subscribe$ {
proxy_pass http://host.docker.internal:3101;
proxy_pass http://spacetimedb:3101;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
@@ -115,7 +202,7 @@ http {
}
location ^~ /v1/identity {
proxy_pass http://host.docker.internal:3101;
proxy_pass http://spacetimedb:3101;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
+36
View File
@@ -0,0 +1,36 @@
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
processors:
batch:
timeout: 5s
send_batch_size: 512
send_batch_max_size: 1024
exporters:
debug:
verbosity: basic
otlp_http/grafana:
endpoint: ${env:GRAFANA_CLOUD_OTLP_ENDPOINT}
headers:
Authorization: ${env:GRAFANA_CLOUD_BASIC_AUTH_HEADER}
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp_http/grafana]
metrics:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp_http/grafana]
logs:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp_http/grafana]
+9 -1
View File
@@ -8,7 +8,15 @@ GENARRATIVE_API_LOG=info,tower_http=info
GENARRATIVE_API_LISTEN_BACKLOG=1024
GENARRATIVE_API_WORKER_THREADS=4
GENARRATIVE_API_MAX_CONCURRENT_REQUESTS=512
GENARRATIVE_OTEL_ENABLED=false
GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS=320
GENARRATIVE_API_DETAIL_MAX_CONCURRENT_REQUESTS=64
GENARRATIVE_API_ADMIN_MAX_CONCURRENT_REQUESTS=16
GENARRATIVE_TRACKING_OUTBOX_ENABLED=true
GENARRATIVE_TRACKING_OUTBOX_DIR=/var/lib/genarrative/tracking-outbox
GENARRATIVE_TRACKING_OUTBOX_BATCH_SIZE=500
GENARRATIVE_TRACKING_OUTBOX_FLUSH_INTERVAL_MS=1000
GENARRATIVE_TRACKING_OUTBOX_MAX_BYTES=268435456
GENARRATIVE_OTEL_ENABLED=true
OTEL_SERVICE_NAME=genarrative-api
OTEL_EXPORTER_OTLP_ENDPOINT=http://127.0.0.1:4318
OTEL_RESOURCE_ATTRIBUTES=deployment.environment=production,service.namespace=genarrative
+103
View File
@@ -14,6 +14,9 @@ upstream genarrative_api {
}
limit_conn_zone $binary_remote_addr zone=genarrative_api_conn:10m;
limit_req_zone $binary_remote_addr zone=genarrative_gallery_rps:10m rate=5000r/s;
limit_req_zone $binary_remote_addr zone=genarrative_api_rps:10m rate=300r/s;
limit_req_zone $binary_remote_addr zone=genarrative_admin_rps:10m rate=30r/s;
server {
listen 80;
@@ -22,6 +25,8 @@ server {
error_log /var/log/nginx/genarrative.error.log warn;
limit_conn_status 429;
limit_conn_log_level warn;
limit_req_status 429;
limit_req_log_level warn;
gzip on;
gzip_vary on;
@@ -48,6 +53,7 @@ server {
location ^~ /admin/api/ {
default_type application/json;
limit_conn genarrative_api_conn 64;
limit_req zone=genarrative_admin_rps burst=16 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
@@ -85,10 +91,107 @@ server {
try_files $uri =404;
}
location = /api/runtime/puzzle/gallery {
default_type application/json;
limit_conn genarrative_api_conn 320;
limit_req zone=genarrative_gallery_rps burst=4096 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
}
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location = /api/runtime/custom-world-gallery {
default_type application/json;
limit_conn genarrative_api_conn 320;
limit_req zone=genarrative_gallery_rps burst=4096 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
}
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location ~ ^/api/runtime/puzzle/gallery/[^/]+$ {
default_type application/json;
limit_conn genarrative_api_conn 32;
limit_req zone=genarrative_api_rps burst=32 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
}
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location ~ ^/api/runtime/custom-world-gallery/[^/]+/[^/]+$ {
default_type application/json;
limit_conn genarrative_api_conn 32;
limit_req zone=genarrative_api_rps burst=32 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
}
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
# 临时兼容主站仍在使用的 /api/* HTTP facade;前端完成 SpacetimeDB SDK 迁移后删除。
location ~ ^/api(?:/|$) {
default_type application/json;
limit_conn genarrative_api_conn 64;
limit_req zone=genarrative_api_rps burst=64 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
+107
View File
@@ -12,6 +12,9 @@ upstream genarrative_api {
}
limit_conn_zone $binary_remote_addr zone=genarrative_api_conn:10m;
limit_req_zone $binary_remote_addr zone=genarrative_gallery_rps:10m rate=5000r/s;
limit_req_zone $binary_remote_addr zone=genarrative_api_rps:10m rate=300r/s;
limit_req_zone $binary_remote_addr zone=genarrative_admin_rps:10m rate=30r/s;
server {
listen 80;
@@ -20,6 +23,8 @@ server {
error_log /var/log/nginx/genarrative.error.log warn;
limit_conn_status 429;
limit_conn_log_level warn;
limit_req_status 429;
limit_req_log_level warn;
location /.well-known/acme-challenge/ {
root /var/www/html;
@@ -35,6 +40,10 @@ server {
server_name genarrative.example.com;
access_log /var/log/nginx/genarrative.access.log genarrative_upstream;
error_log /var/log/nginx/genarrative.error.log warn;
limit_conn_status 429;
limit_conn_log_level warn;
limit_req_status 429;
limit_req_log_level warn;
gzip on;
gzip_vary on;
@@ -64,6 +73,7 @@ server {
location ^~ /admin/api/ {
default_type application/json;
limit_conn genarrative_api_conn 64;
limit_req zone=genarrative_admin_rps burst=16 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
@@ -101,10 +111,107 @@ server {
try_files $uri =404;
}
location = /api/runtime/puzzle/gallery {
default_type application/json;
limit_conn genarrative_api_conn 320;
limit_req zone=genarrative_gallery_rps burst=4096 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
}
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location = /api/runtime/custom-world-gallery {
default_type application/json;
limit_conn genarrative_api_conn 320;
limit_req zone=genarrative_gallery_rps burst=4096 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
}
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location ~ ^/api/runtime/puzzle/gallery/[^/]+$ {
default_type application/json;
limit_conn genarrative_api_conn 32;
limit_req zone=genarrative_api_rps burst=32 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
}
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
location ~ ^/api/runtime/custom-world-gallery/[^/]+/[^/]+$ {
default_type application/json;
limit_conn genarrative_api_conn 32;
limit_req zone=genarrative_api_rps burst=32 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
}
proxy_pass http://genarrative_api;
proxy_http_version 1.1;
proxy_buffering off;
proxy_read_timeout 3600s;
proxy_send_timeout 3600s;
add_header X-Accel-Buffering no always;
proxy_set_header Connection "";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Request-Id $request_id;
}
# 临时兼容主站仍在使用的 /api/* HTTP facade;前端完成 SpacetimeDB SDK 迁移后删除。
location ~ ^/api(?:/|$) {
default_type application/json;
limit_conn genarrative_api_conn 64;
limit_req zone=genarrative_api_rps burst=64 nodelay;
if ($genarrative_maintenance) {
return 503 '{"ok":false,"error":{"code":"MAINTENANCE","message":"服务维护中"}}';
+23
View File
@@ -0,0 +1,23 @@
receivers:
otlp:
protocols:
grpc:
endpoint: 127.0.0.1:4317
http:
endpoint: 127.0.0.1:4318
exporters:
debug:
verbosity: normal
service:
pipelines:
traces:
receivers: [otlp]
exporters: [debug]
metrics:
receivers: [otlp]
exporters: [debug]
logs:
receivers: [otlp]
exporters: [debug]
+22
View File
@@ -0,0 +1,22 @@
[Unit]
Description=Genarrative OpenTelemetry Collector Contrib
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=otelcol
Group=otelcol
WorkingDirectory=/etc/otelcol
ExecStart=/usr/local/bin/otelcol-contrib --config=/etc/otelcol/genarrative-debug.yaml
Restart=always
RestartSec=5
LimitNOFILE=65535
NoNewPrivileges=true
PrivateTmp=true
ProtectSystem=full
ReadWritePaths=/etc/otelcol /var/log/genarrative
[Install]
WantedBy=multi-user.target
@@ -629,11 +629,13 @@ npm run check:server-rs-ddd
- Rust 结构体:`TrackingDailyStat`
- 源码:`server-rs/crates/spacetime-module/src/runtime/profile.rs`
- 写入:由单条或批量 tracking procedure 在同一事务中随 `tracking_event` 更新,作为运营查询和个人任务进度的聚合投影。
### `tracking_event`
- Rust 结构体:`TrackingEvent`
- 源码:`server-rs/crates/spacetime-module/src/runtime/profile.rs`
- 写入:关键业务埋点同步调用单条 procedure;普通 HTTP route tracking 由 `api-server` 本机 outbox 批量调用 `record_tracking_events_and_return`。outbox 到达批量阈值时先封存 active 文件并切新 active,后台 worker 异步 flush sealed 文件,HTTP 请求线程不等待 SpacetimeDB。`FLUSH_INTERVAL_MS` 只负责兜底封存长时间未满批的 active 文件,`MAX_BYTES` 只做磁盘保护阈值。`event_id` 必须稳定且全局唯一,批量重试时用唯一索引做幂等跳过。
### `treasure_record`
@@ -158,14 +158,16 @@ Windows Stdb module 构建流水线运行在 Jenkins `windows` 节点上。该
50 HTTP req/s 首版压测优化口径:
- `api-server` 生产模板默认 `GENARRATIVE_API_LISTEN_BACKLOG=1024``GENARRATIVE_API_WORKER_THREADS=4`;本地未设置 worker threads 时继续使用 Tokio 默认值。
- `GENARRATIVE_API_MAX_CONCURRENT_REQUESTS=512` 开启应用内 HTTP 并发背压,超过并发许可时直接返回 `429 Too Many Requests``Retry-After: 1``/healthz` 不受该限制。值不是 RPS 限速;如果压测中 429 上升但内存和 p95 收敛,说明背压正在保护进程,需要结合真实容量调阈值或在 Nginx 前置限流。直连 `api-server` 的极高 RPS 压测若出现 `connection refused`,通常已经打到 TCP 监听 / accept 层,应同时检查 backlog、Nginx upstream keepalive 和前置限流。
- `GENARRATIVE_API_MAX_CONCURRENT_REQUESTS=512` 开启应用内 HTTP 并发背压`GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS=320``GENARRATIVE_API_DETAIL_MAX_CONCURRENT_REQUESTS=64``GENARRATIVE_API_ADMIN_MAX_CONCURRENT_REQUESTS=16` 分别限制公开列表、公开详情和后台 API 热路径。超过许可时直接返回 `429 Too Many Requests``Retry-After: 1``/healthz` 不受该限制。这些值不是 RPS 限速;如果压测中 429 上升但内存和 p95 收敛,说明背压正在保护进程。直连 `api-server` 的极高 RPS 压测若出现 `connection refused`,通常已经打到 TCP 监听 / accept 层,应同时检查 backlog、Nginx upstream keepalive 和前置限流。
- `genarrative-api.service` 设置 `LimitNOFILE=65535``TasksMax=2048`;上线后用 `systemctl show genarrative-api.service -p LimitNOFILE -p TasksMax``cat /proc/$(pidof api-server)/limits` 核对。
- Nginx `/api/``/admin/api/` 通过 `genarrative_api` upstream 代理到 `127.0.0.1:8082`upstream keepalive 为 64;压测时看 `/var/log/nginx/genarrative.access.log` 中的 `request_time``upstream_connect_time``upstream_header_time``upstream_response_time``upstream_status``request_id`
- Server provision 不在目标机下载 SpacetimeDB 或 `otelcol-contrib`。Jenkins 的 `Prepare Provision Tools` 阶段在 `linux && genarrative-build` 构建机执行 `scripts/prepare-server-provision-tools.sh`,通过官方 SpacetimeDB 安装入口 `https://install.spacetimedb.com` 和 OpenTelemetry release 包生成 `provision-tools/`,再通过 `stash/unstash` 上传到 release 部署 agent。目标机上的 `scripts/jenkins-server-provision.sh` 只从该工作区工具包安装 `/stdb/spacetime``/stdb/bin/current/*``/usr/local/bin/otelcol-contrib`
- `otelcol-contrib.service` 作为可选系统服务加入 provision,默认监听 `127.0.0.1:4317/4318` 并使用 `deploy/otelcol/genarrative-debug.yaml`。api-server 是否发送 OTLP 仍由 `GENARRATIVE_OTEL_ENABLED` 控制,服务 unit 见 `deploy/systemd/otelcol-contrib.service`
- Nginx `/api/``/admin/api/` 通过 `genarrative_api` upstream 代理到 `127.0.0.1:8082`upstream keepalive 为 64`limit_conn` 负责连接 / 并发保护,`limit_req` 负责入口 RPS 快拒绝。当前模板把公开 gallery list 单独放到 `genarrative_gallery_rps`,默认 `rate=5000r/s``burst=4096``limit_conn=320`;公开详情和普通 API 放到 `genarrative_api_rps`,后台 API 放到 `genarrative_admin_rps`。压测时看 `/var/log/nginx/genarrative.access.log` 中的 `request_time``upstream_connect_time``upstream_header_time``upstream_response_time``upstream_status``request_id`
- 作品列表 K6 脚本一次 iteration 默认请求两个公开接口,因此约 50 HTTP req/s 的目标命令使用 `SCENARIO=spike START_RPS=5 PEAK_RPS=25 HOLD=60s END_RPS=5 DETAIL_RATIO=0 npm run loadtest:k6:works`
- 作品列表短期继续由 `api-server` / BFF 订阅 SpacetimeDB 公开 read model 后读本地 cache,不让浏览器前端直接订阅完整列表;未来如新增 `public_work_gallery_entry` 等专用公开作品列表 read model,前端只可订阅稳定、低基数、公开的专用投影,禁止订阅 `puzzle_work_profile``custom_world_profile` 等玩法源表后自行 join、聚合或判断权限。前端直订阅落地前必须先补齐权限、字段契约、排序 / 分页、埋点和 BFF 回退策略。
- 50 HTTP req/s 验收目标为 `http_req_failed < 1%``p95 < 2s``dropped_iterations = 0`,同时压测窗口内 Nginx 无新增 502。
- 50 HTTP req/s 验收目标为 `http_req_failed < 1%``p95 < 2s``dropped_iterations = 0`,同时压测窗口内 Nginx 无新增 502。2026-05-19 容器 2C / 2G 连续 10 轮不重启 SpacetimeDB 压测:`PEAK_RPS=2500` 等价约 5000 HTTP req/s,平均实际吞吐约 `4219 HTTP req/s`10 轮总计 `1,897,357` 个 200、`212,542` 个 429、`0` 个 5xx200 请求平均 `p95=123ms``p99=234ms`;该档会把 SpacetimeDB 容器内存从约 `366MiB` 推到约 `885MiB / 896MiB`,因此当前不要继续抬公开 gallery 入口并发,应优先处理 SpacetimeDB 侧连接 / 订阅 / tracking 写入后的内存高水位。
容器化压测与隔离部署方案单独放在 `deploy/container/`,用于本机或预发模拟 Linux release + Nginx + OTLP Collector 拓扑,不替换当前生产 `systemd + Nginx + Jenkins` 发布路径:
容器化压测与隔离部署方案单独放在 `deploy/container/`,用于本机或预发模拟 Linux release + Nginx + OTLP Collector 拓扑,不替换当前生产 `systemd + Nginx + Jenkins` 发布路径。当前容器模拟参数按 `genarrative-release` 采样值收口为 2 vCPU / 2 GiB RAM / `nofile=4096` / `worker_connections=768`,并在 compose 里落实到 `spacetimedb cpus=1.0 mem_limit=768m``api-server cpus=2.0 mem_limit=1g``nginx cpus=0.25 mem_limit=128m``otelcol cpus=0.25 mem_limit=128m``k6 cpus=0.5 mem_limit=512m`。容器 `api-server` 默认 `GENARRATIVE_API_WORKER_THREADS=4`,只增加 Tokio worker 调度并发,不突破 `api-server cpus=2.0` 的 CPU 配额
```bash
npm run container:init
@@ -176,19 +178,19 @@ npm run container:k6
npm run container:down
```
容器方案默认暴露 `http://127.0.0.1:18080``api-server` 在容器内监听 `0.0.0.0:8082`Nginx 通过 `api-server:8082` upstream 反代 `/api/``/admin/api/`。SpacetimeDB 默认仍连接宿主机 `http://host.docker.internal:3101`,真实库名、token 和外部服务密钥只写本地 `deploy/container/api-server.env`,不提交 Git。完整拓扑、端口、k6 参数和 OTLP debug exporter 使用方法见 `deploy/container/README.md`
容器方案默认暴露 `http://127.0.0.1:18080``api-server` 在容器内监听 `0.0.0.0:8082`Nginx 通过 `api-server:8082` upstream 反代 `/api/``/admin/api/`。SpacetimeDB 也纳入 compose,容器内由 `spacetimedb:3101` 提供服务,宿主机通过 `http://127.0.0.1:13101` 进行模块发布;Collector 镜像使用 `otel/opentelemetry-collector-contrib:0.151.0`。生产 provision 侧则通过 Jenkins 构建机准备的 `provision-tools/otelcol-contrib` 安装本机 `otelcol-contrib.service`,真实库名、token 和外部服务密钥只写本地 `deploy/container/api-server.env`,不提交 Git。完整拓扑、端口、k6 参数和 OTLP debug exporter 使用方法见 `deploy/container/README.md`
`npm run container:config` 默认只做 quiet 校验,避免把本地 env 中的 token 展开到终端;确需排查完整 compose 时再传 `-- --print`
OpenTelemetry 现阶段可选 OTLP traces / metrics / logs,但本地日志与 Nginx 文件日志仍保留:
OpenTelemetry 现阶段默认开启 OTLP traces / metrics / logs,但本地日志与 Nginx 文件日志仍保留:
- 默认 `GENARRATIVE_OTEL_ENABLED=false`,未开启时 api-server 不依赖 Collector
- Collector 使用官方 `otelcol-contrib`,只监听 `127.0.0.1:4317/4318`;本地用 `npm run otel:debug` 启动 debug exporter,用 `npm run otel:rider` 转发到 Rider,再接 Jaeger、Tempo、Prometheus、Grafana 或托管平台。
- api-server 开启时使用 `OTEL_SERVICE_NAME=genarrative-api``OTEL_EXPORTER_OTLP_ENDPOINT=http://127.0.0.1:4318`
- api-server 当前发 OTLP HTTP`OTEL_EXPORTER_OTLP_ENDPOINT` 指向 Collector HTTP base endpoint;不要改到 gRPC `4317` Rider 端口,Rider 由 Collector 通过 `RIDER_OTLP_GRPC_ENDPOINT` 转发。
- 生产与容器 `api-server` env 模板默认 `GENARRATIVE_OTEL_ENABLED=true`;压测、排障或短期要关闭 OTLP 时,必须显式设置 `GENARRATIVE_OTEL_ENABLED=false`
- Collector 使用官方 `otelcol-contrib`安装与启用仍由 `ENABLE_OTELCOL` / provision 控制,只监听 `127.0.0.1:4317/4318`;本地用 `npm run otel:debug` 启动 debug exporter,用 `npm run otel:rider` 转发到 Rider,再接 Jaeger、Tempo、Prometheus、Grafana 或托管平台。
- api-server 发送 OTLP HTTP 时,生产模板使用 `OTEL_SERVICE_NAME=genarrative-api``OTEL_EXPORTER_OTLP_ENDPOINT=http://127.0.0.1:4318`,容器模板使用 `OTEL_EXPORTER_OTLP_ENDPOINT=http://otelcol:4318`
- `OTEL_EXPORTER_OTLP_ENDPOINT` 必须指向 Collector HTTP base endpoint;不要 gRPC `4317`,也不要直接填 Rider 端口,Rider 由 Collector 通过 `RIDER_OTLP_GRPC_ENDPOINT` 转发。
- 应用日志仍通过 `journalctl -u genarrative-api.service` 查看,Nginx 日志仍写文件;日志等级继续用 `GENARRATIVE_API_LOG` / `RUST_LOG` 控制,例如 `info,tower_http=info,spacetime_client=info`
- debug exporter / Rider 转发都会同时接收 traces、metrics 和 logs。
- api-server 会随 metrics 发送进程级指标:`process.memory.usage``process.memory.virtual``process.thread.count``genarrative.process.memory.private`Windows 额外发送 `process.windows.handle.count`Linux 额外发送 `process.unix.file_descriptor.count`。这些指标只描述当前进程,不携带请求、用户或作品 label。
- HTTP 运行态补充发送 `genarrative.http.server.response_bodies.in_flight``genarrative.http.server.request_permits.available`,用于区分业务 handler / 背压 permit 是否仍被占用;拼图广场热点缓存补充发送 `genarrative.puzzle_gallery.cache.*` 指标,记录命中、未命中、重建耗时和预序列化 data JSON 字节数。
- api-server 会随 metrics 发送进程级指标:`process.memory.usage``process.memory.virtual``process.cpu.time``genarrative.process.cpu.usage_percent``process.thread.count``genarrative.process.memory.private`Windows 额外发送 `process.windows.handle.count`Linux 额外发送 `process.unix.file_descriptor.count`。这些指标只描述当前进程,不携带请求、用户或作品 label。
- HTTP 运行态补充发送 `genarrative.http.server.response_bodies.in_flight``genarrative.http.server.request_permits.available`后者带低基数 `pool=default|gallery|detail|admin` label用于区分业务 handler / 背压 permit 是否仍被占用;拼图广场热点缓存补充发送 `genarrative.puzzle_gallery.cache.*` 指标,记录 fresh hit、stale hit、未命中、后台刷新开始 / 失败、重建耗时和预序列化 data JSON 字节数。
- SpacetimeDB 观测分为两类:procedure / reducer 调用继续用 `genarrative.spacetime.procedure.*`,订阅本地 cache 读使用 `genarrative.spacetime.read.*``read=list_puzzle_gallery` 表示拼图广场当前从 `puzzle_gallery_card_view` 本地 cache 读取,不再每个 HTTP 请求调用 `list_puzzle_gallery` procedure。
- 本地 Windows 直连压测的内存高水位要结合 K6 VU / 连接数解释。250 RPS 下过高 `PREALLOCATED_VUS` 可能让 300 个本地 Established 连接把 `api-server` private memory 瞬时推到 GB 级,且 `/healthz` 小响应也能复现;若压测结束后回落、`response_bodies.in_flight` 和背压 permit 未显示业务积压,应优先按连接 / 发送链路高水位处理,而不是判断为 SpacetimeDB 或 JSON 缓存泄漏。
- Rider 的 Logs 面板只展示 log event 自身字段,不会自动展开父 span 的全部 attributes;请求完成日志会直接带 `request_id``http.request.method``http.route``url.scheme``url.path``http.response.status_code``status_class``latency_ms``slow_request`,完整链路继续到 Traces 面板按 trace/span 查看。
@@ -235,7 +237,7 @@ cargo test -p platform-auth --manifest-path server-rs/Cargo.toml aliyun_send_sms
## 埋点与运营查询
用户行为埋点原始事实写入 `tracking_event`,聚合投影写入 `tracking_daily_stat`。任务配置、进度、领奖、钱包流水分别写入:
用户行为埋点原始事实写入 `tracking_event`,聚合投影写入 `tracking_daily_stat`高频 HTTP route tracking 不直接阻塞请求链路:`api-server` 将普通 route tracking 先写入本机 tracking outbox,再由后台 worker 按数量或时间阈值批量写入 SpacetimeDB`daily_login`、作品游玩 `work_play_start`、付费、任务领奖和钱包相关关键事件继续同步直写数据库,避免用户任务进度、游玩统计或支付状态出现可感知延迟。任务配置、进度、领奖、钱包流水分别写入:
- `profile_task_config`
- `profile_task_progress`
@@ -244,6 +246,18 @@ cargo test -p platform-auth --manifest-path server-rs/Cargo.toml aliyun_send_sms
个人任务首版 scope 仅支持 `user`。后台、RPG、大鱼吃小鱼、Visual Novel、Story、Combat 等特定链路按 tracking 中间件排除规则处理;作品游玩统一使用 `work_play_start`
tracking outbox 默认配置:
```env
GENARRATIVE_TRACKING_OUTBOX_ENABLED=true
GENARRATIVE_TRACKING_OUTBOX_DIR=/var/lib/genarrative/tracking-outbox
GENARRATIVE_TRACKING_OUTBOX_BATCH_SIZE=500
GENARRATIVE_TRACKING_OUTBOX_FLUSH_INTERVAL_MS=1000
GENARRATIVE_TRACKING_OUTBOX_MAX_BYTES=268435456
```
outbox 采用 NDJSON 文件保存原始事件。达到 `BATCH_SIZE` 时会立刻把当前 active 文件原子封存为 sealed 文件,并马上切到新的 active 继续写入;后台 worker 异步 flush sealed 文件,HTTP 请求线程不等待 SpacetimeDB。`FLUSH_INTERVAL_MS` 只负责兜底封存长时间未满批的 active 文件。SpacetimeDB 批量 procedure 返回成功后删除 sealed 文件,失败则保留文件并重试。`MAX_BYTES` 是磁盘保护阈值,不是 flush 阈值;超过后低价值 route tracking 可以被丢弃并记录日志 / 指标,关键同步事件不进入该丢弃路径。sealed 文件若出现无法解析的坏行,会重命名为 `corrupt-*` 隔离并记录 `genarrative.tracking_outbox.files.corrupt` 指标,避免一个坏文件阻塞后续批量入库。该机制提供至少一次投递语义,依赖 `tracking_event.event_id` 幂等跳过重复事件。
常用检查思路:
```sql
@@ -22,7 +22,8 @@ pipeline {
string(name: 'COMMIT_HASH', defaultValue: '', description: '部署脚本来源 commit')
string(name: 'SERVER_NAME', defaultValue: 'genarrative.example.com', description: '证书主域名;也作为 Nginx server_name 的第一个域名')
string(name: 'SERVER_ALIASES', defaultValue: '', description: '可选,额外 Nginx server_name,多个用空格或逗号分隔,例如 www.genarrative.world')
string(name: 'SPACETIME_BIN_SOURCE', defaultValue: '/usr/local/bin/spacetime', description: '服务器上已有 spacetime CLI 路径')
string(name: 'PROVISION_TOOLS_DIR', defaultValue: 'provision-tools', description: '构建机准备并上传到目标机工作区的工具包目录')
string(name: 'SPACETIME_DOWNLOAD_ROOT', defaultValue: 'https://github.com/clockworklabs/SpacetimeDB/releases/latest/download', description: '构建机下载 SpacetimeDB 官方安装产物的根地址;目标机不访问该地址')
string(name: 'SPACETIME_ROOT', defaultValue: '/stdb', description: 'SpacetimeDB root-dir')
string(name: 'RELEASE_ROOT', defaultValue: '/opt/genarrative/releases', description: 'release 根目录')
string(name: 'CURRENT_LINK', defaultValue: '/opt/genarrative/current', description: '当前版本软链接')
@@ -31,6 +32,8 @@ pipeline {
string(name: 'API_PORT', defaultValue: '8082', description: 'api-server 本机监听端口')
choice(name: 'NGINX_CONFIG_MODE', choices: ['none', 'production-https', 'development-http'], description: 'Nginx 配置模式;开发服无域名时选 development-httprelease 正式入口选 production-https')
booleanParam(name: 'ENABLE_SERVICES', defaultValue: true, description: '启用并启动 spacetimedb 与 api-server systemd 服务')
booleanParam(name: 'ENABLE_OTELCOL', defaultValue: true, description: '安装并启用本机 OpenTelemetry Collectorapi-server 模板默认开启 OTLP,如需关闭请在 API_ENV_FILE 中将 GENARRATIVE_OTEL_ENABLED 改为 false')
string(name: 'OTELCOL_VERSION', defaultValue: '0.151.0', description: 'otelcol-contrib 版本')
}
stages {
@@ -60,8 +63,17 @@ pipeline {
}
}
}
if (!params.SPACETIME_BIN_SOURCE?.trim()) {
error('SPACETIME_BIN_SOURCE 不能为空。')
if (!params.PROVISION_TOOLS_DIR?.trim()) {
error('PROVISION_TOOLS_DIR 不能为空。')
}
if (!(params.PROVISION_TOOLS_DIR.trim() ==~ /^[0-9A-Za-z._/-]+$/) || params.PROVISION_TOOLS_DIR.startsWith('/') || params.PROVISION_TOOLS_DIR.contains('..')) {
error("PROVISION_TOOLS_DIR 只能是工作区内的相对目录,不能包含绝对路径或连续点号: ${params.PROVISION_TOOLS_DIR}")
}
if (!(params.OTELCOL_VERSION?.trim() ==~ /^[0-9]+\.[0-9]+\.[0-9]+$/)) {
error("OTELCOL_VERSION 格式应为 x.y.z: ${params.OTELCOL_VERSION}")
}
if (!params.SPACETIME_DOWNLOAD_ROOT?.trim()) {
error('SPACETIME_DOWNLOAD_ROOT 不能为空。')
}
def nginxMode = params.NGINX_CONFIG_MODE?.trim()
if (!(nginxMode in ['none', 'production-https', 'development-http'])) {
@@ -77,6 +89,58 @@ pipeline {
}
}
stage('Prepare Provision Tools') {
agent {
label 'linux && genarrative-build'
}
steps {
script {
def checkoutFromRemote = { String remoteUrl ->
checkout([
$class: 'GitSCM',
branches: [[name: "*/${params.SOURCE_BRANCH}"]],
doGenerateSubmoduleConfigurations: false,
extensions: [
[$class: 'CleanBeforeCheckout'],
[$class: 'CloneOption', shallow: true, depth: 1, noTags: true, timeout: 30, honorRefspec: true],
],
userRemoteConfigs: [[url: remoteUrl, refspec: "+refs/heads/${params.SOURCE_BRANCH}:refs/remotes/origin/${params.SOURCE_BRANCH}"]],
])
}
try {
checkoutFromRemote(env.GIT_REMOTE_URL)
env.EFFECTIVE_GIT_REMOTE_URL = env.GIT_REMOTE_URL
} catch (error) {
echo "Git 主地址拉取失败: ${env.GIT_REMOTE_URL},改用备用地址: ${env.GIT_REMOTE_FALLBACK_URL}"
checkoutFromRemote(env.GIT_REMOTE_FALLBACK_URL)
env.EFFECTIVE_GIT_REMOTE_URL = env.GIT_REMOTE_FALLBACK_URL
}
}
sh '''
bash <<'BASH'
set -euo pipefail
chmod +x scripts/jenkins-checkout-source.sh scripts/prepare-server-provision-tools.sh
SOURCE_BRANCH="${SOURCE_BRANCH:-master}" \
COMMIT_HASH="${COMMIT_HASH:-}" \
GIT_REMOTE_URL="${EFFECTIVE_GIT_REMOTE_URL:-${GIT_REMOTE_URL}}" \
GIT_REMOTE_FALLBACK_URL="${GIT_REMOTE_FALLBACK_URL:-}" \
SOURCE_COMMIT_FILE=".jenkins-source-commit" \
scripts/jenkins-checkout-source.sh
PROVISION_TOOLS_DIR="${PROVISION_TOOLS_DIR:-provision-tools}" \
OTELCOL_VERSION="${OTELCOL_VERSION:-0.151.0}" \
SPACETIME_DOWNLOAD_ROOT="${SPACETIME_DOWNLOAD_ROOT:-https://github.com/clockworklabs/SpacetimeDB/releases/latest/download}" \
scripts/prepare-server-provision-tools.sh
BASH
'''
script {
env.SOURCE_COMMIT = readFile('.jenkins-source-commit').trim()
echo "Provision 工具包已准备,源码 commit=${env.SOURCE_COMMIT}"
}
stash name: 'server-provision-tools', includes: "${params.PROVISION_TOOLS_DIR}/**", useDefaultExcludes: false
}
}
stage('Checkout Provision Files') {
agent {
label "${params.DEPLOY_TARGET == 'development' ? 'linux && genarrative-build' : 'linux && genarrative-release-deploy'}"
@@ -109,7 +173,7 @@ pipeline {
set -euo pipefail
chmod +x scripts/jenkins-checkout-source.sh
SOURCE_BRANCH="${SOURCE_BRANCH:-master}" \
COMMIT_HASH="${COMMIT_HASH:-}" \
COMMIT_HASH="${COMMIT_HASH:-${SOURCE_COMMIT:-}}" \
GIT_REMOTE_URL="${EFFECTIVE_GIT_REMOTE_URL:-${GIT_REMOTE_URL}}" \
GIT_REMOTE_FALLBACK_URL="${GIT_REMOTE_FALLBACK_URL:-}" \
SOURCE_COMMIT_FILE=".jenkins-source-commit" \
@@ -124,10 +188,18 @@ BASH
label "${params.DEPLOY_TARGET == 'development' ? 'linux && genarrative-build' : 'linux && genarrative-release-deploy'}"
}
steps {
unstash 'server-provision-tools'
sh '''
bash <<'BASH'
set -euo pipefail
chmod +x "${PROVISION_TOOLS_DIR:-provision-tools}/otelcol-contrib" \
"${PROVISION_TOOLS_DIR:-provision-tools}/spacetime/spacetime" \
"${PROVISION_TOOLS_DIR:-provision-tools}/spacetime/bin/current/spacetimedb-cli" \
"${PROVISION_TOOLS_DIR:-provision-tools}/spacetime/bin/current/spacetimedb-standalone"
chmod +x scripts/jenkins-server-provision.sh
PROVISION_TOOLS_DIR="${PROVISION_TOOLS_DIR:-provision-tools}" \
SPACETIME_BIN_SOURCE="${PROVISION_TOOLS_DIR:-provision-tools}/spacetime/spacetime" \
OTELCOL_BIN_SOURCE="${PROVISION_TOOLS_DIR:-provision-tools}/otelcol-contrib" \
scripts/jenkins-server-provision.sh
BASH
'''
+1 -1
View File
@@ -89,7 +89,7 @@ function printHelp(isError) {
Commands:
container:init 生成 deploy/container/api-server.env
container:build 构建 api-server 容器镜像
container:up 后台启动 api-server + nginx + otelcol
container:up 后台启动 spacetimedb + api-server + nginx + otelcol
container:down 停止并清理容器
container:logs 查看容器日志
container:ps 查看容器状态
+87 -40
View File
@@ -1,6 +1,24 @@
#!/usr/bin/env bash
set -euo pipefail
PROVISION_TOOLS_DIR="${PROVISION_TOOLS_DIR:-provision-tools}"
SPACETIME_BIN_SOURCE="${SPACETIME_BIN_SOURCE:-${PROVISION_TOOLS_DIR}/spacetime/spacetime}"
OTELCOL_BIN_SOURCE="${OTELCOL_BIN_SOURCE:-${PROVISION_TOOLS_DIR}/otelcol-contrib}"
require_non_root_relative_path() {
local label="$1"
local path="$2"
if [[ -z "${path}" ]]; then
echo "[server-provision] ${label} 不能为空。" >&2
exit 1
fi
if [[ "${path}" == /* || "${path}" == *..* ]]; then
echo "[server-provision] ${label} 只能是工作区内的相对路径: ${path}" >&2
exit 1
fi
}
require_path() {
local path="$1"
if [[ ! -e "${path}" ]]; then
@@ -90,16 +108,16 @@ install_sccache() {
fi
echo "[server-provision] 未找到 sccache,准备通过 cargo install sccache 安装。"
if ! command -v cargo >/dev/null 2>&1; then
echo "[server-provision] 未找到 cargo,无法自动安装 sccache。请先安装 Rust 工具链后重跑 Server-Provision。" >&2
exit 1
fi
if [[ "${DRY_RUN}" == "true" ]]; then
echo "+ cargo install sccache --locked"
return
fi
if ! command -v cargo >/dev/null 2>&1; then
echo "[server-provision] 未找到 cargo,无法自动安装 sccache。请先安装 Rust 工具链后重跑 Server-Provision。" >&2
exit 1
fi
cargo install sccache --locked
if ! command -v sccache >/dev/null 2>&1 && [[ ! -x /root/.cargo/bin/sccache ]]; then
echo "[server-provision] sccache 安装后仍不可用,请检查 cargo bin 目录是否在 PATH 中。" >&2
@@ -107,6 +125,42 @@ install_sccache() {
fi
}
sync_otelcol_install() {
local target_bin="/usr/local/bin/otelcol-contrib"
local source_bin="${OTELCOL_BIN_SOURCE}"
local version="${OTELCOL_VERSION:-0.151.0}"
local resolved_source="${source_bin}"
if [[ "${ENABLE_OTELCOL:-true}" != "true" ]]; then
echo "[server-provision] ENABLE_OTELCOL=${ENABLE_OTELCOL:-},跳过 otelcol-contrib 配置。"
return
fi
if command -v readlink >/dev/null 2>&1; then
resolved_source="$(readlink -f "${source_bin}" 2>/dev/null || echo "${source_bin}")"
fi
if [[ ! -x "${resolved_source}" ]]; then
echo "[server-provision] otelcol-contrib 不存在或不可执行: ${source_bin}" >&2
echo "[server-provision] 请先在构建机准备好 otelcol-contrib ${version},再通过 provision-tools 上传到目标机。" >&2
exit 1
fi
if [[ "${DRY_RUN}" == "true" ]]; then
echo "+ install -m 0755 ${resolved_source} ${target_bin}"
return
fi
install -m 0755 "${resolved_source}" "${target_bin}"
if ! "${target_bin}" --version >/dev/null 2>&1; then
echo "[server-provision] otelcol-contrib 安装后无法执行: ${target_bin}" >&2
exit 1
fi
if ! "${target_bin}" --version 2>/dev/null | grep -q "${version}"; then
echo "[server-provision] 警告: otelcol-contrib 版本不是期望的 ${version}: $("${target_bin}" --version 2>/dev/null || true)" >&2
fi
}
sync_spacetime_install() {
local root_dir="$1"
local target_bin_dir="${root_dir}/bin/current"
@@ -115,14 +169,6 @@ sync_spacetime_install() {
local resolved_command="${SPACETIME_BIN_SOURCE}"
local install_dir=""
local root_bin="${root_dir}/bin"
local share_bin_dir=""
local version_dir=""
local parent_dir=""
if [[ -x "${target_cli}" && -x "${target_standalone}" ]]; then
echo "[server-provision] SpacetimeDB current 目录已存在: ${target_bin_dir}"
return
fi
echo "[server-provision] 同步 SpacetimeDB current 目录到 ${target_bin_dir}"
if [[ "${DRY_RUN}" == "true" ]]; then
@@ -137,26 +183,10 @@ sync_spacetime_install() {
install_dir="$(cd -- "$(dirname -- "${resolved_command}")" && pwd)"
mkdir -p "${root_bin}"
for share_bin_dir in \
"/usr/.local/share/spacetime/bin" \
"/root/.local/share/spacetime/bin" \
"${HOME:-}/.local/share/spacetime/bin"; do
if [[ -d "${share_bin_dir}" ]]; then
version_dir="$(find "${share_bin_dir}" -mindepth 1 -maxdepth 1 -type d | sort -V | tail -n 1)"
if [[ -n "${version_dir}" && -x "${version_dir}/spacetimedb-cli" && -x "${version_dir}/spacetimedb-standalone" ]]; then
echo "[server-provision] 同步 SpacetimeDB 安装: ${version_dir} -> ${target_bin_dir}"
rm -rf "${target_bin_dir}"
mkdir -p "${target_bin_dir}"
cp -a "${version_dir}/." "${target_bin_dir}/"
chmod +x "${target_cli}" "${target_standalone}"
chown -R spacetimedb:spacetimedb "${root_bin}"
return
fi
fi
done
if [[ -d "${install_dir}/bin" ]]; then
echo "[server-provision] 同步 SpacetimeDB 安装: ${install_dir}/bin -> ${root_bin}"
rm -rf "${root_bin}"
mkdir -p "${root_bin}"
cp -a "${install_dir}/bin/." "${root_bin}/"
elif [[ -x "${install_dir}/spacetimedb-cli" && -x "${install_dir}/spacetimedb-standalone" ]]; then
echo "[server-provision] 同步 SpacetimeDB 安装: ${install_dir} -> ${target_bin_dir}"
@@ -165,14 +195,8 @@ sync_spacetime_install() {
cp -f "${install_dir}/spacetimedb-cli" "${target_cli}"
cp -f "${install_dir}/spacetimedb-standalone" "${target_standalone}"
chmod +x "${target_cli}" "${target_standalone}"
elif [[ -f "${resolved_command}" ]]; then
parent_dir="$(cd -- "${install_dir}/.." && pwd)"
if [[ -d "${parent_dir}/bin" && -x "${parent_dir}/bin/current/spacetimedb-cli" && -x "${parent_dir}/bin/current/spacetimedb-standalone" ]]; then
echo "[server-provision] 同步 SpacetimeDB 安装: ${parent_dir}/bin -> ${root_bin}"
cp -a "${parent_dir}/bin/." "${root_bin}/"
else
echo "[server-provision] 未能从 spacetime 命令路径推断完整 SpacetimeDB 安装目录: ${resolved_command}" >&2
fi
else
echo "[server-provision] 未能从 SpacetimeDB 交付包推断完整安装目录: ${resolved_command}" >&2
fi
if [[ ! -x "${target_cli}" || ! -x "${target_standalone}" ]]; then
@@ -396,6 +420,10 @@ render_api_env_example() {
deploy/env/api-server.env.example
}
render_otelcol_service() {
cat deploy/systemd/otelcol-contrib.service
}
validate_nginx_tls() {
local cert_dir="/etc/letsencrypt/live/${SERVER_NAME}"
if [[ "${SERVER_NAME}" == "genarrative.example.com" ]]; then
@@ -532,6 +560,8 @@ render_api_service() {
require_path deploy/systemd/spacetimedb.service
require_path deploy/systemd/genarrative-api.service
require_path deploy/systemd/otelcol-contrib.service
require_path deploy/otelcol/genarrative-debug.yaml
require_path deploy/nginx/genarrative.conf
require_path deploy/nginx/genarrative-dev-http.conf
require_path deploy/nginx/snippets/genarrative-maintenance.conf
@@ -541,6 +571,7 @@ require_path scripts/deploy/maintenance-off.sh
require_path scripts/deploy/maintenance-status.sh
validate_server_names
require_non_root_relative_path "PROVISION_TOOLS_DIR" "${PROVISION_TOOLS_DIR}"
echo "[server-provision] target=${DEPLOY_TARGET}, dry_run=${DRY_RUN}, nginx_config_mode=${NGINX_CONFIG_MODE}, source_commit=$(cat .jenkins-source-commit)"
@@ -548,7 +579,7 @@ run_cmd id
install_build_dependencies
install_nginx_brotli_modules
install_sccache
run_cmd mkdir -p "${SPACETIME_ROOT}" "${RELEASE_ROOT}" "$(dirname "${CURRENT_LINK}")" "$(dirname "${WEB_LINK}")" /etc/genarrative /var/lib/genarrative/maintenance /var/lib/genarrative/auth
run_cmd mkdir -p "${SPACETIME_ROOT}" "${RELEASE_ROOT}" "$(dirname "${CURRENT_LINK}")" "$(dirname "${WEB_LINK}")" /etc/genarrative /var/lib/genarrative/maintenance /var/lib/genarrative/auth /var/lib/genarrative/tracking-outbox
if ! id spacetimedb >/dev/null 2>&1; then
run_cmd useradd --system --home-dir "${SPACETIME_ROOT}" --shell /usr/sbin/nologin spacetimedb
@@ -595,6 +626,16 @@ else
echo "[server-provision] 已存在环境文件,保留不覆盖: ${API_ENV_FILE}"
fi
if [[ "${ENABLE_OTELCOL:-true}" == "true" ]]; then
sync_otelcol_install
otelcol_service="$(mktemp)"
render_otelcol_service >"${otelcol_service}"
install_file "${otelcol_service}" /etc/systemd/system/otelcol-contrib.service 0644
rm -f "${otelcol_service}"
else
echo "[server-provision] ENABLE_OTELCOL=${ENABLE_OTELCOL:-},跳过 otelcol-contrib service 安装。"
fi
if [[ "${NGINX_CONFIG_MODE}" != "none" ]]; then
install_nginx_config_with_rollback
else
@@ -603,7 +644,13 @@ fi
run_cmd systemctl daemon-reload
if [[ "${ENABLE_SERVICES}" == "true" ]]; then
if [[ "${ENABLE_OTELCOL:-true}" == "true" ]]; then
run_cmd systemctl enable otelcol-contrib.service
fi
run_cmd systemctl enable spacetimedb.service genarrative-api.service
if [[ "${ENABLE_OTELCOL:-true}" == "true" ]]; then
run_cmd systemctl restart otelcol-contrib.service
fi
run_cmd systemctl restart spacetimedb.service
wait_for_spacetimedb_service
ensure_spacetime_owner_client_token
+7 -5
View File
@@ -226,7 +226,7 @@ npm run loadtest:k6:works
## 排障
- 如果公开 gallery 返回 `creation_entry_disabled` 或 503,检查本地 creation entry 配置是否禁用了对应入口。
- 如果高压下返回 429,优先确认目标环境是否设置了 `GENARRATIVE_API_MAX_CONCURRENT_REQUESTS`。429 表示 api-server 应用层背压已生效,不等同于业务错误;继续看内存、p95、`http_req_failed` 和 OTLP / Nginx timing 判断阈值是否偏低。
- 如果高压下返回 429,优先确认目标环境是否设置了 `GENARRATIVE_API_MAX_CONCURRENT_REQUESTS` 以及 `GENARRATIVE_API_GALLERY_MAX_CONCURRENT_REQUESTS``GENARRATIVE_API_DETAIL_MAX_CONCURRENT_REQUESTS``GENARRATIVE_API_ADMIN_MAX_CONCURRENT_REQUESTS`。429 表示 Nginx 或 api-server 背压已生效,不等同于业务错误;继续看内存、p95、`http_req_failed` 和 OTLP / Nginx timing 判断阈值是否偏低。
- 如果直连 `api-server` 压测出现 `connection refused` 或 status 0,说明压力已经打到 TCP 监听 / accept 层;此时同时检查 `GENARRATIVE_API_LISTEN_BACKLOG`、Nginx upstream keepalive 和是否需要在 Nginx 前置限流,不能只靠应用层背压解释。
- 如果个人作品列表返回 401,确认 `AUTH_TOKEN` 是当前 api-server 可识别的 access token。
- 如果详情全部 404,确认是否已向目标环境导入与 `WORKS_DATA` 一致的数据。
@@ -247,7 +247,7 @@ sudo journalctl -u genarrative-api.service -f
sudo journalctl -u spacetimedb.service -f
```
api-server 的 OpenTelemetry 默认关闭。需要验证 OTLP traces / metrics / logs 时,先在服务器本机启动只监听 `127.0.0.1``otelcol-contrib` debug exporter
api-server 的 OpenTelemetry 在生产与容器模板里默认开启。需要临时关闭时,显式把 `GENARRATIVE_OTEL_ENABLED=false`需要验证 OTLP traces / metrics / logs 时,先在服务器本机启动只监听 `127.0.0.1``otelcol-contrib` debug exporter
```bash
npm run otel:debug
@@ -317,12 +317,14 @@ Rider 的 Logs 面板展示的是 OTLP log event 自身字段,不会自动把
- `process.memory.usage`:进程常驻内存 / RSS。
- `process.memory.virtual`:进程虚拟内存;Windows 当前按 `PrivateUsage` 上报,Linux 取 `VmSize`
- `genarrative.process.memory.private`:进程私有内存,Windows 来自 `PrivateUsage`Linux 近似取 `/proc/self/status``VmData`
- `process.cpu.time`:进程 user + system 累计 CPU 秒数。
- `genarrative.process.cpu.usage_percent`:两次指标采集之间的进程 CPU 使用率;100% 约等于占满 1 个 CPU core。
- `process.thread.count`:线程数。
- `process.windows.handle.count`Windows 句柄数。
- `process.unix.file_descriptor.count`Linux 文件描述符数。
- `genarrative.http.server.response_bodies.in_flight`Axum / Hyper 仍持有的响应 body 数;如果内存高但该值很低,说明热点不在业务 handler 生命周期内。
- `genarrative.http.server.request_permits.available`:应用层 HTTP 背压剩余 permit 数;如果该值未接近 0,说明没有打满 `GENARRATIVE_API_MAX_CONCURRENT_REQUESTS`
- `genarrative.puzzle_gallery.cache.hits` / `genarrative.puzzle_gallery.cache.misses` / `genarrative.puzzle_gallery.cache.rebuilds`:拼图广场响应缓存命中、未命中和重建次数。
- `genarrative.http.server.request_permits.available`:应用层 HTTP 背压剩余 permit 数,带 `pool=default|gallery|detail|admin`;如果目标 pool 未接近 0,说明没有打满对应 `GENARRATIVE_API_*_MAX_CONCURRENT_REQUESTS`
- `genarrative.puzzle_gallery.cache.hits` / `genarrative.puzzle_gallery.cache.stale_hits` / `genarrative.puzzle_gallery.cache.misses` / `genarrative.puzzle_gallery.cache.refreshes_started` / `genarrative.puzzle_gallery.cache.refreshes_failed` / `genarrative.puzzle_gallery.cache.rebuilds`:拼图广场响应缓存 fresh 命中、stale 命中、未命中、后台刷新和重建次数。
- `genarrative.puzzle_gallery.cache.rebuild.duration`:拼图广场缓存重建耗时。
- `genarrative.puzzle_gallery.cache.data_json_bytes`:拼图广场缓存内预序列化 data JSON 大小。
- `genarrative.spacetime.read.calls` / `genarrative.spacetime.read.duration_ms`SpacetimeDB 订阅本地 cache 读次数和耗时;`read=list_puzzle_gallery` 表示当前路径走 view / local cache,不是 procedure。
@@ -336,7 +338,7 @@ Rider 的 Logs 面板展示的是 OTLP log event 自身字段,不会自动把
```bash
systemctl show genarrative-api.service -p LimitNOFILE -p TasksMax
cat /proc/$(pidof api-server)/limits
tr '\0' '\n' < /proc/$(pidof api-server)/environ | grep GENARRATIVE_API_MAX_CONCURRENT_REQUESTS
tr '\0' '\n' < /proc/$(pidof api-server)/environ | grep 'GENARRATIVE_API_.*MAX_CONCURRENT_REQUESTS'
ss -ltnp | grep 8082
curl -sS http://127.0.0.1:8082/healthz
```
+8 -4
View File
@@ -1,10 +1,12 @@
{
"source": "spacetime-migration-7.local.json",
"generatedAt": "2026-05-11T13:09:51.569Z",
"source": "spacetime-migration-1.json",
"generatedAt": "2026-05-18T11:54:04.280Z",
"counts": {
"puzzle_work_profile": 3,
"custom_world_profile": 1,
"match3d_work_profile": 0
"match3d_work_profile": 0,
"square_hole_work_profile": 0,
"visual_novel_work_profile": 0
},
"tables": {
"puzzle_work_profile": [
@@ -113,7 +115,9 @@
}
}
],
"match3d_work_profile": []
"match3d_work_profile": [],
"square_hole_work_profile": [],
"visual_novel_work_profile": []
},
"profileIds": {
"puzzle": [
+7 -5
View File
@@ -137,12 +137,12 @@ function unwrapPayload(json) {
}
function hasCollection(payload, keys) {
return keys.some((key) => Array.isArray(payload?.[key]));
return Boolean(payload) && keys.some((key) => Array.isArray(payload[key]));
}
function firstCollection(payload, keys) {
for (const key of keys) {
if (Array.isArray(payload?.[key])) return payload[key];
if (payload && Array.isArray(payload[key])) return payload[key];
}
return [];
}
@@ -152,10 +152,11 @@ function hasListItemShape(payload, keys) {
if (collection.length === 0) return true;
const item = collection[0];
const hasId = Boolean(
item?.profileId || item?.profile_id || item?.workId || item?.work_id || item?.publicWorkCode,
item &&
(item.profileId || item.profile_id || item.workId || item.work_id || item.publicWorkCode),
);
const hasTitle = Boolean(
item?.title || item?.workTitle || item?.work_title || item?.levelName || item?.worldName,
item && (item.title || item.workTitle || item.work_title || item.levelName || item.worldName),
);
return hasId && hasTitle;
}
@@ -213,7 +214,8 @@ function performDetailRequest() {
const payload = unwrapPayload(json);
const ok = check(response, {
[`${endpoint.name} status is 200`]: (res) => res.status === 200,
[`${endpoint.name} has detail payload`]: () => endpoint.expectKeys.some((key) => payload?.[key]),
[`${endpoint.name} has detail payload`]: () =>
Boolean(payload) && endpoint.expectKeys.some((key) => payload[key]),
});
worksDetailShapeErrorRate.add(!ok, { endpoint: endpoint.name });
}
+132
View File
@@ -0,0 +1,132 @@
#!/usr/bin/env bash
set -euo pipefail
PROVISION_TOOLS_DIR="${PROVISION_TOOLS_DIR:-provision-tools}"
OTELCOL_VERSION="${OTELCOL_VERSION:-0.151.0}"
OTELCOL_DOWNLOAD_ROOT="${OTELCOL_DOWNLOAD_ROOT:-https://github.com/open-telemetry/opentelemetry-collector-releases/releases/download}"
SPACETIME_INSTALLER_URL="${SPACETIME_INSTALLER_URL:-https://install.spacetimedb.com}"
SPACETIME_DOWNLOAD_ROOT="${SPACETIME_DOWNLOAD_ROOT:-https://github.com/clockworklabs/SpacetimeDB/releases/latest/download}"
PROVISION_TOOLS_TMP_PARENT="${PROVISION_TOOLS_TMP_PARENT:-${WORKSPACE:-$(pwd)}/.tmp/server-provision-tools}"
TMP_DIR_TO_CLEAN=""
cleanup_tmp_dir() {
if [[ -n "${TMP_DIR_TO_CLEAN}" ]]; then
rm -rf "${TMP_DIR_TO_CLEAN}"
fi
}
require_cmd() {
local name="$1"
if ! command -v "${name}" >/dev/null 2>&1; then
echo "[prepare-provision-tools] 缺少命令: ${name}" >&2
exit 1
fi
}
download_file() {
local url="$1"
local output="$2"
if command -v curl >/dev/null 2>&1; then
curl -fsSL --retry 3 --retry-delay 2 "${url}" -o "${output}"
elif command -v wget >/dev/null 2>&1; then
wget -O "${output}" "${url}"
else
echo "[prepare-provision-tools] 需要 curl 或 wget 下载: ${url}" >&2
exit 1
fi
}
make_spacetime_wrapper() {
local target="$1"
cat >"${target}" <<'EOF'
#!/usr/bin/env sh
set -eu
SELF_DIR=$(CDPATH= cd -- "$(dirname -- "$0")" && pwd)
exec "$SELF_DIR/bin/current/spacetimedb-cli" "$@"
EOF
chmod 0755 "${target}"
}
prepare_otelcol() {
local tmp_dir="$1"
local archive="${tmp_dir}/otelcol-contrib.tar.gz"
local extract_dir="${tmp_dir}/otelcol-contrib"
local url="${OTELCOL_DOWNLOAD_ROOT}/v${OTELCOL_VERSION}/otelcol-contrib_${OTELCOL_VERSION}_linux_amd64.tar.gz"
local target="${PROVISION_TOOLS_DIR}/otelcol-contrib"
require_cmd tar
echo "[prepare-provision-tools] 下载 otelcol-contrib: ${url}"
mkdir -p "${extract_dir}"
download_file "${url}" "${archive}"
tar -xzf "${archive}" -C "${extract_dir}"
if [[ ! -x "${extract_dir}/otelcol-contrib" ]]; then
echo "[prepare-provision-tools] otelcol-contrib 包中缺少可执行文件。" >&2
exit 1
fi
install -m 0755 "${extract_dir}/otelcol-contrib" "${target}"
"${target}" --version >/dev/null
}
prepare_spacetime() {
local tmp_dir="$1"
local install_root="${tmp_dir}/spacetime-root"
local target_dir="${PROVISION_TOOLS_DIR}/spacetime"
echo "[prepare-provision-tools] 使用官方安装器准备 SpacetimeDB: ${SPACETIME_INSTALLER_URL}"
mkdir -p "${install_root}"
download_file "${SPACETIME_INSTALLER_URL}" "${tmp_dir}/spacetime-install.sh"
chmod 0755 "${tmp_dir}/spacetime-install.sh"
TMPDIR="${tmp_dir}" SPACETIME_DOWNLOAD_ROOT="${SPACETIME_DOWNLOAD_ROOT}" sh "${tmp_dir}/spacetime-install.sh" --root-dir "${install_root}" -y
if [[ ! -x "${install_root}/bin/current/spacetimedb-cli" ]]; then
echo "[prepare-provision-tools] SpacetimeDB 安装结果缺少 bin/current/spacetimedb-cli。" >&2
exit 1
fi
if [[ ! -x "${install_root}/bin/current/spacetimedb-standalone" ]]; then
echo "[prepare-provision-tools] SpacetimeDB 安装结果缺少 bin/current/spacetimedb-standalone。" >&2
exit 1
fi
mkdir -p "${target_dir}"
cp -a "${install_root}/bin" "${target_dir}/bin"
make_spacetime_wrapper "${target_dir}/spacetime"
"${target_dir}/spacetime" --version >/dev/null
}
main() {
local tmp_dir
require_cmd chmod
require_cmd cp
require_cmd install
require_cmd mktemp
require_cmd rm
mkdir -p "${PROVISION_TOOLS_TMP_PARENT}"
tmp_dir="$(mktemp -d "${PROVISION_TOOLS_TMP_PARENT%/}/run.XXXXXX")"
TMP_DIR_TO_CLEAN="${tmp_dir}"
trap cleanup_tmp_dir EXIT
rm -rf "${PROVISION_TOOLS_DIR}"
mkdir -p "${PROVISION_TOOLS_DIR}"
prepare_otelcol "${tmp_dir}"
prepare_spacetime "${tmp_dir}"
cat >"${PROVISION_TOOLS_DIR}/MANIFEST.txt" <<EOF
otelcol-contrib ${OTELCOL_VERSION}
spacetime installer ${SPACETIME_INSTALLER_URL}
spacetime download root ${SPACETIME_DOWNLOAD_ROOT}
EOF
echo "[prepare-provision-tools] 工具包已准备: ${PROVISION_TOOLS_DIR}"
find "${PROVISION_TOOLS_DIR}" -maxdepth 5 \( -type f -o -type l \) | sort
}
main "$@"
+1 -1
View File
@@ -46,7 +46,7 @@ shared-kernel = { workspace = true }
shared-logging = { workspace = true }
socket2 = { workspace = true }
spacetime-client = { workspace = true }
tokio = { workspace = true, features = ["macros", "rt-multi-thread", "net", "time", "sync"] }
tokio = { workspace = true, features = ["macros", "rt-multi-thread", "net", "time", "sync", "fs", "io-util"] }
tokio-stream = { workspace = true }
futures-util = { workspace = true }
time = { workspace = true, features = ["formatting"] }
+3 -3
View File
@@ -1,7 +1,7 @@
use axum::{
Router,
body::Body,
extract::Extension,
extract::{Extension, FromRef},
http::Request,
middleware,
response::Response,
@@ -22,7 +22,7 @@ use crate::{
request_context::{RequestContext, attach_request_context, resolve_request_id},
response_headers::propagate_request_id_header,
runtime_inventory::get_runtime_inventory_state,
state::AppState,
state::{AppState, BackpressureState},
telemetry::record_http_observability,
tracking::record_route_tracking_event_after_success,
vector_engine_audio_generation::{
@@ -79,7 +79,7 @@ pub fn build_router(state: AppState) -> Router {
))
// HTTP 背压在业务路由外侧快拒绝,避免过载请求继续占用 SpacetimeDB facade 与业务执行资源。
.layer(middleware::from_fn_with_state(
state.clone(),
BackpressureState::from_ref(&state),
limit_concurrent_requests,
))
// 错误归一化层放在 tracing 里侧,让 tracing 记录到最终对外返回的状态与错误体形态。
+246 -10
View File
@@ -13,11 +13,11 @@ use tokio::sync::{OwnedSemaphorePermit, TryAcquireError};
use crate::{
http_error::AppError,
request_context::RequestContext,
state::{AppState, HttpRequestPermitPool},
state::{BackpressureState, HttpRequestPermitPool, HttpRequestPermitPoolKind},
};
pub async fn limit_concurrent_requests(
State(state): State<AppState>,
State(state): State<BackpressureState>,
request: Request,
next: Next,
) -> Response {
@@ -25,29 +25,38 @@ pub async fn limit_concurrent_requests(
return next.run(request).await;
}
let Some(permit_pool) = state.http_request_permit_pool() else {
let requested_pool = classify_request_permit_pool(request.uri().path());
let Some((permit_pool_kind, permit_pool)) = state.request_permit_pool(requested_pool) else {
return next.run(request).await;
};
match acquire_http_request_permit(permit_pool) {
match acquire_http_request_permit(permit_pool_kind, permit_pool) {
Ok(permit) => hold_permit_until_response_body_dropped(next.run(request).await, permit),
Err(_) => reject_overloaded_request(&request),
}
}
fn acquire_http_request_permit(
permit_pool_kind: HttpRequestPermitPoolKind,
permit_pool: Arc<HttpRequestPermitPool>,
) -> Result<HttpRequestPermitGuard, TryAcquireError> {
match permit_pool.clone().try_acquire_owned() {
Ok(permit) => {
crate::telemetry::update_http_request_permits_available(permit_pool.available_permits());
crate::telemetry::update_http_request_permits_available(
permit_pool_kind,
permit_pool.available_permits(),
);
Ok(HttpRequestPermitGuard {
permit_pool_kind,
permit: Some(permit),
permit_pool,
})
}
Err(error) => {
crate::telemetry::update_http_request_permits_available(permit_pool.available_permits());
crate::telemetry::update_http_request_permits_available(
permit_pool_kind,
permit_pool.available_permits(),
);
Err(error)
}
}
@@ -66,6 +75,7 @@ fn hold_permit_until_response_body_dropped(
}
struct HttpRequestPermitGuard {
permit_pool_kind: HttpRequestPermitPoolKind,
permit: Option<OwnedSemaphorePermit>,
permit_pool: Arc<HttpRequestPermitPool>,
}
@@ -73,7 +83,10 @@ struct HttpRequestPermitGuard {
impl Drop for HttpRequestPermitGuard {
fn drop(&mut self) {
drop(self.permit.take());
crate::telemetry::update_http_request_permits_available(self.permit_pool.available_permits());
crate::telemetry::update_http_request_permits_available(
self.permit_pool_kind,
self.permit_pool.available_permits(),
);
}
}
@@ -92,6 +105,44 @@ fn should_bypass_backpressure(request: &Request<Body>) -> bool {
request.uri().path() == "/healthz"
}
fn classify_request_permit_pool(path: &str) -> HttpRequestPermitPoolKind {
if is_gallery_list_path(path) {
HttpRequestPermitPoolKind::Gallery
} else if is_gallery_detail_path(path) {
HttpRequestPermitPoolKind::Detail
} else if path.starts_with("/admin/api/") {
HttpRequestPermitPoolKind::Admin
} else {
HttpRequestPermitPoolKind::Default
}
}
fn is_gallery_list_path(path: &str) -> bool {
matches!(
path,
"/api/runtime/puzzle/gallery" | "/api/runtime/custom-world-gallery"
)
}
fn is_gallery_detail_path(path: &str) -> bool {
let puzzle_prefix = "/api/runtime/puzzle/gallery/";
if let Some(profile_id) = path.strip_prefix(puzzle_prefix) {
return !profile_id.is_empty() && !profile_id.contains('/');
}
let custom_world_prefix = "/api/runtime/custom-world-gallery/";
if let Some(remainder) = path.strip_prefix(custom_world_prefix) {
let mut segments = remainder.split('/');
return matches!(
(segments.next(), segments.next(), segments.next()),
(Some(owner_user_id), Some(profile_id), None)
if !owner_user_id.is_empty() && !profile_id.is_empty()
);
}
false
}
#[cfg(test)]
mod tests {
use std::sync::Arc;
@@ -107,9 +158,14 @@ mod tests {
use tokio::sync::Notify;
use tower::ServiceExt;
use crate::{config::AppConfig, state::AppState};
use axum::extract::FromRef;
use super::limit_concurrent_requests;
use crate::{
config::AppConfig,
state::{AppState, BackpressureState},
};
use super::{classify_request_permit_pool, limit_concurrent_requests};
#[derive(Clone)]
struct HeldRequestGate {
@@ -138,13 +194,50 @@ mod tests {
let mut config = AppConfig::default();
config.max_concurrent_requests = Some(max_concurrent_requests);
let state = AppState::new(config).expect("state should build");
let backpressure_state = BackpressureState::from_ref(&state);
Router::new()
.route("/held", get(held_request))
.route("/fast", get(fast_request))
.route("/healthz", get(fast_request))
.layer(middleware::from_fn_with_state(
state.clone(),
backpressure_state,
limit_concurrent_requests,
))
.layer(Extension(gate))
.with_state(state)
}
fn build_grouped_test_app(
default_max_concurrent_requests: usize,
gallery_max_concurrent_requests: usize,
admin_max_concurrent_requests: usize,
gate: HeldRequestGate,
) -> Router {
let mut config = AppConfig::default();
config.max_concurrent_requests = Some(default_max_concurrent_requests);
config.gallery_max_concurrent_requests = Some(gallery_max_concurrent_requests);
config.admin_max_concurrent_requests = Some(admin_max_concurrent_requests);
let state = AppState::new(config).expect("state should build");
let backpressure_state = BackpressureState::from_ref(&state);
Router::new()
.route("/held", get(held_request))
.route("/api/runtime/puzzle/gallery", get(held_request))
.route("/api/runtime/custom-world-gallery", get(held_request))
.route("/api/runtime/puzzle/gallery/profile-1", get(held_request))
.route(
"/api/runtime/puzzle/gallery/profile-1/like",
get(fast_request),
)
.route(
"/api/runtime/custom-world-gallery/user-1/profile-1",
get(held_request),
)
.route("/admin/api/overview", get(held_request))
.route("/fast", get(fast_request))
.layer(middleware::from_fn_with_state(
backpressure_state,
limit_concurrent_requests,
))
.layer(Extension(gate))
@@ -242,4 +335,147 @@ mod tests {
.expect("third request should complete");
assert_eq!(accepted_response.status(), StatusCode::OK);
}
#[tokio::test]
async fn gallery_pool_rejects_gallery_without_blocking_default_routes() {
let gate = HeldRequestGate {
entered: Arc::new(Notify::new()),
release: Arc::new(Notify::new()),
};
let app = build_grouped_test_app(2, 1, 1, gate.clone());
let entered = gate.entered.notified();
let held_response = tokio::spawn(
app.clone()
.oneshot(test_request("/api/runtime/puzzle/gallery")),
);
entered.await;
let rejected_gallery_response = app
.clone()
.oneshot(test_request("/api/runtime/custom-world-gallery"))
.await
.expect("rejected gallery request should complete");
assert_eq!(
rejected_gallery_response.status(),
StatusCode::TOO_MANY_REQUESTS
);
let accepted_default_response = app
.clone()
.oneshot(test_request("/fast"))
.await
.expect("default request should complete");
assert_eq!(accepted_default_response.status(), StatusCode::OK);
gate.release.notify_one();
let completed_response = held_response
.await
.expect("held request task should join")
.expect("held request should complete");
assert_eq!(completed_response.status(), StatusCode::OK);
}
#[tokio::test]
async fn detail_pool_falls_back_to_default_when_unset() {
let gate = HeldRequestGate {
entered: Arc::new(Notify::new()),
release: Arc::new(Notify::new()),
};
let mut config = AppConfig::default();
config.max_concurrent_requests = Some(1);
config.detail_max_concurrent_requests = None;
let state = AppState::new(config).expect("state should build");
let backpressure_state = BackpressureState::from_ref(&state);
let app = Router::new()
.route("/api/runtime/puzzle/gallery/profile-1", get(held_request))
.route("/fast", get(fast_request))
.layer(middleware::from_fn_with_state(
backpressure_state,
limit_concurrent_requests,
))
.layer(Extension(gate.clone()))
.with_state(state);
let entered = gate.entered.notified();
let held_response = tokio::spawn(
app.clone()
.oneshot(test_request("/api/runtime/puzzle/gallery/profile-1")),
);
entered.await;
let rejected_default_response = app
.clone()
.oneshot(test_request("/fast"))
.await
.expect("default request should complete");
assert_eq!(
rejected_default_response.status(),
StatusCode::TOO_MANY_REQUESTS
);
gate.release.notify_one();
let completed_response = held_response
.await
.expect("held request task should join")
.expect("held request should complete");
assert_eq!(completed_response.status(), StatusCode::OK);
}
#[tokio::test]
async fn admin_pool_is_isolated_from_default_routes() {
let gate = HeldRequestGate {
entered: Arc::new(Notify::new()),
release: Arc::new(Notify::new()),
};
let app = build_grouped_test_app(2, 1, 1, gate.clone());
let entered = gate.entered.notified();
let held_response = tokio::spawn(app.clone().oneshot(test_request("/admin/api/overview")));
entered.await;
let rejected_admin_response = app
.clone()
.oneshot(test_request("/admin/api/overview"))
.await
.expect("rejected admin request should complete");
assert_eq!(
rejected_admin_response.status(),
StatusCode::TOO_MANY_REQUESTS
);
let accepted_default_response = app
.clone()
.oneshot(test_request("/fast"))
.await
.expect("default request should complete");
assert_eq!(accepted_default_response.status(), StatusCode::OK);
gate.release.notify_one();
let completed_response = held_response
.await
.expect("held request task should join")
.expect("held request should complete");
assert_eq!(completed_response.status(), StatusCode::OK);
}
#[test]
fn classifies_only_exact_gallery_detail_paths_as_detail() {
assert_eq!(
classify_request_permit_pool("/api/runtime/puzzle/gallery/profile-1"),
crate::state::HttpRequestPermitPoolKind::Detail
);
assert_eq!(
classify_request_permit_pool("/api/runtime/puzzle/gallery/profile-1/like"),
crate::state::HttpRequestPermitPoolKind::Default
);
assert_eq!(
classify_request_permit_pool("/api/runtime/custom-world-gallery/user-1/profile-1"),
crate::state::HttpRequestPermitPoolKind::Detail
);
assert_eq!(
classify_request_permit_pool("/api/runtime/custom-world-gallery/user-1/profile-1/like"),
crate::state::HttpRequestPermitPoolKind::Default
);
}
}

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