https://answer.freetools.me/tags/lsm-tree/ Recent content in LSM-Tree on Answer Hugo -- 0.152.2 zh-cn Sun, 08 Mar 2026 15:25:45 +0800 https://answer.freetools.me/lsm-tree%E7%9A%84compaction%E4%B8%BA%E4%BD%95%E8%AE%A9%E6%95%B0%E6%8D%AE%E5%BA%93%E5%B7%A5%E7%A8%8B%E5%B8%88%E5%8F%88%E7%88%B1%E5%8F%88%E6%81%A8%E4%BB%8E%E5%86%99%E6%94%BE%E5%A4%A7%E5%88%B0%E8%AF%BB%E6%94%BE%E5%A4%A7%E7%9A%84%E4%B8%89%E5%8D%81%E5%B9%B4%E6%9D%83%E8%A1%A1/ Sun, 08 Mar 2026 15:25:45 +0800 https://answer.freetools.me/lsm-tree%E7%9A%84compaction%E4%B8%BA%E4%BD%95%E8%AE%A9%E6%95%B0%E6%8D%AE%E5%BA%93%E5%B7%A5%E7%A8%8B%E5%B8%88%E5%8F%88%E7%88%B1%E5%8F%88%E6%81%A8%E4%BB%8E%E5%86%99%E6%94%BE%E5%A4%A7%E5%88%B0%E8%AF%BB%E6%94%BE%E5%A4%A7%E7%9A%84%E4%B8%89%E5%8D%81%E5%B9%B4%E6%9D%83%E8%A1%A1/ 深入解析LSM-Tree Compaction策略的技术本质与演进历程。从1996年Patrick O'Neil等人的原始论文出发，系统梳理Leveled Compaction与Tiered Compaction的核心差异、写放大/读放大/空间放大的数学权衡、RocksDB与Cassandra的生产实践，以及Time Window Compaction等新型策略的设计哲学。揭示Compaction策略选择的关键考量：没有完美方案，只有特定场景下的最优权衡。 https://answer.freetools.me/%E7%B4%A2%E5%BC%95%E8%B6%8A%E5%A4%9A%E6%9F%A5%E8%AF%A2%E8%B6%8A%E6%85%A2%E4%BB%8E%E5%86%99%E5%85%A5%E6%94%BE%E5%A4%A7%E5%88%B0%E4%BC%98%E5%8C%96%E5%99%A8%E8%AF%AF%E5%88%A4%E7%9A%84%E5%AE%8C%E6%95%B4%E6%8A%80%E6%9C%AF%E8%A7%A3%E6%9E%90/ Fri, 06 Mar 2026 21:42:59 +0800 https://answer.freetools.me/%E7%B4%A2%E5%BC%95%E8%B6%8A%E5%A4%9A%E6%9F%A5%E8%AF%A2%E8%B6%8A%E6%85%A2%E4%BB%8E%E5%86%99%E5%85%A5%E6%94%BE%E5%A4%A7%E5%88%B0%E4%BC%98%E5%8C%96%E5%99%A8%E8%AF%AF%E5%88%A4%E7%9A%84%E5%AE%8C%E6%95%B4%E6%8A%80%E6%9C%AF%E8%A7%A3%E6%9E%90/ 从B-tree的页分裂机制到缓冲池竞争，从优化器基数估计到索引碎片化，深度解析索引隐藏成本的完整技术链条。基于PostgreSQL基准测试数据、pganalyze写入开销模型、SQL Server索引维护指南等权威信源，揭示"索引越多越好"这一认知误区背后的技术真相，以及读密集与写密集场景下的索引设计权衡。 https://answer.freetools.me/%E6%97%B6%E5%BA%8F%E6%95%B0%E6%8D%AE%E5%BA%93%E5%A6%82%E4%BD%95%E7%94%A81.37%E5%AD%97%E8%8A%82%E5%AD%98%E5%82%A8%E4%B8%80%E4%B8%AA%E6%95%B0%E6%8D%AE%E7%82%B9%E4%BB%8E%E5%8E%8B%E7%BC%A9%E7%AE%97%E6%B3%95%E5%88%B0%E5%AD%98%E5%82%A8%E5%BC%95%E6%93%8E%E7%9A%84%E5%8D%81%E4%BA%94%E5%B9%B4%E6%BC%94%E8%BF%9B/ Fri, 06 Mar 2026 06:47:20 +0800 https://answer.freetools.me/%E6%97%B6%E5%BA%8F%E6%95%B0%E6%8D%AE%E5%BA%93%E5%A6%82%E4%BD%95%E7%94%A81.37%E5%AD%97%E8%8A%82%E5%AD%98%E5%82%A8%E4%B8%80%E4%B8%AA%E6%95%B0%E6%8D%AE%E7%82%B9%E4%BB%8E%E5%8E%8B%E7%BC%A9%E7%AE%97%E6%B3%95%E5%88%B0%E5%AD%98%E5%82%A8%E5%BC%95%E6%93%8E%E7%9A%84%E5%8D%81%E4%BA%94%E5%B9%B4%E6%BC%94%E8%BF%9B/ 深度解析时序数据库的核心技术：Gorilla压缩算法如何实现12倍压缩比、LSM-Tree与B-Tree的存储引擎抉择、高基数问题的根源与解决方案。从Facebook的Gorilla论文到现代TSDB架构，揭示每秒百万级写入背后的技术权衡。