Git packfiles use delta compression, storing only the diff when a 10MB file changes by one line, while the objects table stores each version in full. A file modified 100 times takes about 1GB in Postgres versus maybe 50MB in a packfile. Postgres does TOAST and compress large values, but that’s compressing individual objects in isolation, not delta-compressing across versions the way packfiles do, so the storage overhead is real. A delta-compression layer that periodically repacks objects within Postgres, or offloads large blobs to S3 the way LFS does, is a natural next step. For most repositories it still won’t matter since the median repo is small and disk is cheap, and GitHub’s Spokes system made a similar trade-off years ago, storing three full uncompressed copies of every repository across data centres because redundancy and operational simplicity beat storage efficiency even at hundreds of exabytes.
官方评估数据显示，在处理真实复杂的 AI 任务时，该技术将离线处理吞吐量最高提升 1.87 倍，在线服务吞吐量平均提升 1.96 倍。，更多细节参见safew官方版本下载
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Answer (Playground):，这一点在爱思助手下载最新版本中也有详细论述
return _apply.call(origAppend, this, arguments);
Streaming server-side rendering (SSR) is a particularly painful case. A typical SSR stream might render thousands of small HTML fragments, each passing through the streams machinery: