3.0 doc, benchmarking (#879)

apache · Jul 26, 2021 · ee19c2c · ee19c2c
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diff --git a/content/zh/docs/performance/_index.md b/content/zh/docs/performance/_index.md
@@ -0,0 +1,9 @@
+
+---
+type: docs
+title: "性能优化 & 基准测试"
+linkTitle: "性能优化"
+weight: 80
+description: ""
+---
+
diff --git a/content/zh/docs/performance/benchmarking.md b/content/zh/docs/performance/benchmarking.md
@@ -0,0 +1,92 @@
+1 Benchmark 结论
+
+对比 2.x 版本，Dubbo3 版本
+
+- 服务发现资源利用率显著提升。
+  - 对比接口级服务发现，单机常驻内存下降  50%，地址变更期 GC 消耗下降一个数量级 (百次 -> 十次)
+  - 对比应用级服务发现，单机常驻内存下降 75%，GC 次数趋零
+- Dubbo 协议性能持平，Triple 协议在网关、Stream吞吐量方面更具优势。
+  - Dubbo协议 （3.0 vs 2.x），3.0 实现较 2.x 总体 qps rt 持平，略有提升
+  - Triple协议 vs Dubbo协议，直连调用场景 Triple 性能并无优势，其优势在网关、Stream调用场景。
+
+
+
+以下是详细压测过程与数据
+
+2 应用级服务发现（地址推送链路）
+
+此部分压测数据是由工商银行 Dubbo 团队基于内部生产数据给出，压测过程模拟了“生产环境地址+zookeeper”的服务发现架构。
+
+2.1 环境
+
+| **压测数据** | 提供者<br/>500运行实例✖️8interface✖️5protocol，即每个提供者向注册中心注册40个URL，总计20000个URL，每个URL字符长度约1k。<br/><br/>注册中心<br/>2个独立zookeeper注册中心，服务提供者消费者采用并行配置。<br/><br/>消费者<br/>配置1c2g，xmx=768，开启GC，从2个注册中心订阅，每5秒调用一次服务。运行20小时。 |
+| ------------ | ------------------------------------------------------------ |
+| **压测环境** | Java version "1.8.0"<br/>Java(TM) SE Runtime Enviroment (build pxa6480sr3fp12-20160919_01(SR3 FP12))<br/>IBM J9 VM (Build 2.8, JRE 1.8.0 Linux amd64-64 Compressed References 20160915_318796, JIT enabled, AOT enabled) |
+
+
+2.2 数据分析
+
+![//imgs/v3/performance/registry-mem.svg](/imgs/v3/performance/registry-mem.svg)
+
+<br />图一 服务发现模型内存占用变化<br /><br />
+
+- Dubbo3 接口级服务发现模型，常驻内存较 2.x 版本下降约  50%
+- Dubbo3 应用级服务发现模型，常驻内存较 2.x 版本下降约  75%
+
+
+![//imgs/v3/performance/registry-gc.svg](/imgs/v3/performance/registry-gc.svg)
+
+<br />图二 服务发现模型 GC 变化<br /><br />
+
+- Dubbo3 接口级服务发现模型，YGC 次数 2.x 版本大幅下降，从数百次下降到十几次
+- Dubbo3 应用级服务发现模型，FGC 次数 2.x 版本大幅下降，从数百次下降到零次
+
+
+
+3 RPC 协议（远程调用链路）
+
+- Dubbo3 的 _Dubbo协议 _实现与 Dubbo2 版本在性能上基本持平。
+- 由于 Triple协议 本身是基于 HTTP/2 构建，因此在单条链路上的 RPC 调用并未比基于 TCP 的 Dubbo2 有提升，反而在某些调用场景出现一定下降。但 _Triple协议 _更大的优势在于网关穿透性、通用性，以及 Stream 通信模型带来的总体吞吐量提升。
+- Triple 预期在网关代理场景下一定会有更好的性能表现，鉴于当前压测环境，本轮 benchmark 暂未提供。
+
+
+
+3.1 环境
+
+
+| **机器**     | 4C8G Linux JDK 1.8（Provider）4C8G Linux JDK 1.8 （Consumer） |
+| ------------ | ------------------------------------------------------------ |
+| **压测用例** | RPC 方法类型包括：无参无返回值、普通pojo返回值、pojo列表返回值<br /><br />2.7 版本 Dubbo 协议（Hessian2 序列化）<br />3.0 版本 Dubbo 协议（Hessian2 序列化）<br />3.0 版本 Dubbo 协议（Protobuf 序列化）<br />3.0 版本 Triple 协议（Protobuf 序列化）<br />3.0 版本 Triple 协议（Protobuf 套 Hessian2 序列化） |
+| **压测方法** | 单链接场景下，消费端起 32 并发线程（当前机器配置 qps rt 较均衡的并发数），持续压后采集压测数据<br /> 压测数据通过 https://github.com/apache/dubbo-benchmark 得出 |
+
+<br />
+
+3.2 数据分析
+
+| **Dubbo + Hessian2****2.7** | **Dubbo + Hessian2****3.0** | **Dubbo + Protobuf****3.0** |
+| --------------------------- | --------------------------- | --------------------------- |
+| 30333 ops/s2.5ms P99        | 30414 ops/s2.4ms P99        | 24123 ops/s3.2ms P99        |
+| 8984 ops/s6.1 ms P99        | 12279 ops/s5.7 ms P99       | 21479 ops/s3.0 ms P99       |
+| 1916 ops/s34 ms P99         | 2037 ops/s34 ms P99         | 12722 ops/s7.7 ms P99       |
+
+3.2.1 Dubbo 协议不同版本实现对比
+
+![//imgs/v3/performance/rpc-dubbo.svg](/imgs/v3/performance/rpc-dubbo.svg)
+
+<br />图三  Dubbo协议在不同版本的实现对比<br />就 Dubbo RPC + Hessian 的默认组合来说，Dubbo3 与 Dubbo2 在性能上在不同调用场景下基本持平
+
+3.2.2 Dubbo协议 vs Triple协议
+
+![//imgs/v3/performance/rpc-triple.svg](/imgs/v3/performance/rpc-triple.svg)
+
+<br />图四 Triple vs Dubbo<br />单纯看 Consumer <-> Provider 的点对点调用，可以看出 Triple 协议本身并不占优势，同样使用 Protobuf 序列化方式，Dubbo RPC 协议总体性能还是要优于 Triple。<br /><br />
+
+Triple 实现在 3.0 版本中将会得到持续优化，但不能完全改变在某些场景下“基于 HTTP/2 的 RPC 协议”对比“基于 TCP 的 RPC 协议”处于劣势的局面
+
+3.2.3 补充网关场景
+
+TBD<br /><br />
+
+3.3.4 模拟 Stream 通信场景的吞吐量提升
+
+TBD
diff --git a/content/zh/docs/references/features/_index.md b/content/zh/docs/references/features/_index.md
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