优化网络层并发模型：实现连接协程“瘦身” - #409
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1. 优化连接关闭逻辑，在reader协程中统一执行清理操作 2. 新增client_v2压测客户端，支持多尺寸数据包、随机发包策略与重连模拟 3. 扩展c10k测试服务端，添加小/中/大数据包路由处理 4. 添加client_v2二进制编译支持与gitignore规则
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优化网络层并发模型：实现连接协程“瘦身”
🔍 概述 (Overview)
本 PR 对网络层的并发模型进行了重构，通过合并与解耦不必要的调度损耗，实现了每个连接减少 1 个常驻协程的优化目标：
SendMsg)：单连接常驻协程由 2 个减至 1 个（C10K 峰值由 20K 降至 10K）。SendBuffMsg)：单连接常驻协程由 3 个减至 2 个（C10K 峰值由 30K 降至 20K）。优化后，系统在 C10K 基准测试（10,000 并发 × 1,000 次请求，共 10,000,000 次请求）中表现出了更低的调度开销、更高的吞吐量以及更稳定的长尾时延。
📊 优化前后全指标深度对比 (Benchmark Comparison)
SendMsgSendMsg(优化)SendBuffMsgSendBuffMsg(优化)💡 核心优化成果与技术分析
1. 大幅降低 Go 运行时调度成本 (Goroutine Scheduling Cost)
在并发连接达到 10,000 时，两种方案均成功在线减少了 10,000 个协程的上下文切换与调度开销。这使得 CPU 能够将更多算力投入到网络 I/O 与数据序列化本身，直接催生了 QPS 的全面普涨。优化后的同步方案（
SendMsg）跑出了现阶段的性能峰值 63,284.47 QPS。2. 异步缓冲方案 (
SendBuffMsg) 瘦身收益显著SendBuffMsg有效 QPS 提升了 1.8%（由 60.3K 升至 61.4K）。3. 内存控制与 GC 稳定性
SendMsg闲置内存回落至 5M，SendBuffMsg回落至 9M，无任何资源残留与协程泄漏隐患。🛠️ 改动清单 (Changes)
SendMsg逻辑，实现单连接单协程（1-Goroutine per Connection）的高效读写设计。SendBuffMsg机制，将单连接常驻协程缩减至 2 个，精简 Channel 监听链条。🧪 测试验证 (Verification)
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