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perf(s3): route GET through ChunkReadAt + shared ReaderCache
The S3 GET path previously used filer.PrepareStreamContentWithPrefetch,
which hands chunk bytes from the volume-server fetch goroutine to the
consumer through an io.Pipe. io.Pipe is a synchronous rendezvous, so
the prefetch=4 window only overlapped HTTP connection setup — the
actual data bytes still flowed one pipe at a time.
Switch to the same path WebDAV uses (server/webdav_server.go): build
a filer.ChunkReadAt backed by a server-wide filer.ReaderCache.
ReaderCache prefetches whole chunks into []byte buffers, so the
prefetch window translates into real in-flight bytes and the consumer
copies them out as memcpys.
The ReaderCache is server-wide (not per-request) for two reasons:
1. ChunkReadAt.Close() destroys the ReaderCache's downloader map.
With a per-request cache, the defer on the handler would wait for
background chunk downloads that run on context.Background() — so
a client disconnect would block handler cleanup on downloads that
the client no longer wants, tying up goroutines and memory.
2. Concurrent requests for the same object can share in-flight
downloads through the shared downloader map.
No persistent ChunkCache is added in this commit — the ReaderCache is
constructed with a nil *chunk_cache.TieredChunkCache (all its methods
are nil-receiver safe). A follow-up PR wires in an in-memory chunk
cache for cross-request warm hits.
JWT for volume-server requests is generated internally by
util_http.RetriedFetchChunkData from jwtSigningReadKey, so the new
path remains compatible with JWT-protected clusters — this is the
same mechanism the WebDAV and mount read paths have been using.
Measured on weed mini + 1 GiB random object over loopback, cold
cache, single-stream curl on a presigned URL:
before (io.Pipe): 2100-2200 MB/s
after (ChunkReadAt): 2900-3800 MB/s