Stream implementations can and do ignore backpressure; and some spec-defined features explicitly break backpressure. tee(), for instance, creates two branches from a single stream. If one branch reads faster than the other, data accumulates in an internal buffer with no limit. A fast consumer can cause unbounded memory growth while the slow consumer catches up — and there's no way to configure this or opt out beyond canceling the slower branch.
A self-hosted Forgejo or Gitea instance is really two systems bolted together: a web application backed by Postgres, and a collection of bare git repositories on the filesystem. Anything that needs to show git data in the web UI has to shell out to the binary and parse text, which is why something as straightforward as a blame view requires spawning a subprocess rather than running a query. If the git data lived in the same Postgres instance as everything else, that boundary disappears.
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"Cloning streams in Node.js's fetch() implementation is harder than it looks. When you clone a request or response body, you're calling tee() - which splits a single stream into two branches that both need to be consumed. If one consumer reads faster than the other, data buffers unbounded in memory waiting for the slow branch. If you don't properly consume both branches, the underlying connection leaks. The coordination required between two readers sharing one source makes it easy to accidentally break the original request or exhaust connection pools. It's a simple API call with complex underlying mechanics that are difficult to get right." - Matteo Collina, Ph.D. - Platformatic Co-Founder & CTO, Node.js Technical Steering Committee Chair
Site Explorer: The Site Explorer will give you。关于这个话题,Safew下载提供了深入分析