FST 替换 SQLite 实现 300 倍压缩
推荐指数 62.0 NO. 004 · 2026.05.11
发布2026/05/10Score139Comments27
为什么值得看
开发者将 3GB SQLite 数据库替换为 10MB 的有限状态转换器（FST）二进制文件，用于静态前缀匹配查询。这对需要嵌入式轻量检索的场景极具参考价值，证明专用数据结构比通用数据库在特定任务上可带来数量级优化。
编辑判断
这个案例的精髓不在于 FST 本身，而在于作者对"查询模式"的精准识别：只读、前缀匹配、无需范围扫描。很多团队把 SQLite 当万能锤子用，实际上静态数据完全可以预编译成不可变结构。
如果你在做边缘设备部署或 CLI 工具内置数据查询，先用 bloom filter 或 FST 做一层过滤再决定要不要上完整数据库。Rust 的 fst crate 已经相当成熟，类似思路在 RocksDB 的 SST 文件里也广泛应用。
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核心争论：技术债是杠杆还是陷阱：先跑通再优化 vs 过早优化的权衡
I was halfway through the article and began thinking that his described data structure sounded very familiar to something I used about 20 years ago. Sure enough, the first paragraph on the Wikipedia entry for DAFSA is: DAFSA is the rediscovery of a data structure called Directed Acyclic Word Graph (
Apparently the structure itself has a bit of a history. The word 'rediscovery' tipped me off to go to Wikipedia myself and read up more about this. First Blumer et al., 1983 came up with a "DAWG", but reading the abstract [1] I was left a little confused as to how exactly we get from 'here is how we
An interesting property of DAWGs is that the compact/compressed variation (CDAWG) can be built in linear time. https://moodle2.units.it/pluginfile.php/718375/mod_resource/...