docs(readme): 架构图分层配色 + Kafka+Spark 对比 - #240
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架构图用 subgraph 按入口/存储/投递/分布式四层分组、classDef 分层配色,主数据流一条主线; 定位下新增与 Kafka+Spark 清洗链路的对比表(清洗时机/数据搬运/延迟/运维),并诚实标注适用区间 与不替代大规模流处理的边界。
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🐯 BanGD 数据库内核评审整体风险:🟢 低 变更总结:这是一个纯文档(README.md)修改的 PR,不涉及任何源代码或存储引擎逻辑。变更分三块:(1) 重画 Mermaid 架构图,把节点按「入口/存储/投递/分布式」四层用 subgraph 分组,并用 classDef 分层配色,让主数据流(上游→入口→存储→投递→sink)形成一条清晰的纵向主线,替代原先平铺堆叠、数据流与分片关系混杂的图;(2) 标题与定位文案重写(改名 BanDB Flux、强调零依赖),将「作用」拆成「功能」清单并新增「崩溃恢复/断点重续」「限流」等条目;(3) 新增「相比 Kafka + Spark 清洗链路」对比表,从清洗时机/数据搬运/延迟/运维四个维度诚实标注适用边界(中小规模/边缘/低延迟),并明确不替代大规模有状态流处理。该 PR 不触碰任何磁盘格式、并发、WAL、存储不变量,是纯可读性/可传播性层面改进。
未发现需要从架构层面改进的问题。 本次评审消耗 token:共 15087 tokens(输入 8330,输出 357,缓存命中 6400,缓存写入 0)|维度 [concurrency, memory, lock, storage, performance]|对抗式复核 3 票/条,过滤疑似误报 0 条 |
首行去掉'从零实现/自研/手写'的技术自夸;作用改为功能清单(高并发写入吸收、落盘前清洗、崩溃恢复与 断点重续、高并发限流、可靠投递、横向分片扩展);架构与性能描述改用功能语言,去掉 fsync/group commit/ P2C/连接池/跳表等实现术语,只讲对用户的效果与实测数字。
subgraph按入口/存储/投递/分布式四层分组,classDef分层配色,主数据流一条主线贯穿(替换原来堆在一起的流程图)。🤖 Generated with Claude Code