* s3: invalidate stale reader cache locations on chunk read failure
* filer: share the chunk-read self-heal across reader cache and streaming paths
The reader cache retry added a third copy of the invalidate-relookup-compare-retry
dance already inlined in PrepareStreamContentWithThrottler and duplicated in
retryWithCacheInvalidation. Extract retryFetchWithFreshLocations and route all
three through it, parameterized by the refetch primitive.
* filer: drop redundant completedTimeNew store in reader cache success path
startCaching already stamps completedTimeNew unconditionally before the
fetchErr branch; the second store inside the success branch is dead.
* filer: make NewReaderCache cache invalidator an explicit parameter
The variadic ...CacheInvalidator only ever read the first element, so a caller
could pass two and silently get one. Take a single explicit argument and have
the non-S3 callers pass nil.
* filer: inject reader cache chunk fetch as a struct field
Replace the process-global readerCacheFetchChunkData test seam with a
per-instance fetchChunkDataFn field defaulted in NewReaderCache, matching how
lookupFileIdFn is already wired. Tests set the field on the cache instead of
swapping a shared global.
* filer: log the location count, not full URLs, on self-heal retry
---------
Co-authored-by: Chris Lu <chris.lu@gmail.com>
* feat(s3): add concurrent chunk prefetch for large file downloads
Add a pipe-based prefetch pipeline that overlaps chunk fetching with
response writing during S3 GetObject, SSE downloads, and filer proxy.
While chunk N streams to the HTTP response, fetch goroutines for the
next K chunks establish HTTP connections to volume servers ahead of
time, eliminating the RTT gap between sequential chunk fetches.
Uses io.Pipe for minimal memory overhead (~1MB per download regardless
of chunk size, vs buffering entire chunks). Also increases the
streaming read buffer from 64KB to 256KB to reduce syscall overhead.
Benchmark results (64KB chunks, prefetch=4):
- 0ms latency: 1058 → 2362 MB/s (2.2× faster)
- 5ms latency: 11.0 → 41.7 MB/s (3.8× faster)
- 10ms latency: 5.9 → 23.3 MB/s (4.0× faster)
- 20ms latency: 3.1 → 12.1 MB/s (3.9× faster)
* fix: address review feedback for prefetch pipeline
- Fix data race: use *chunkPipeResult (pointer) on channel to avoid
copying struct while fetch goroutines write to it. Confirmed clean
with -race detector.
- Remove concurrent map write: retryWithCacheInvalidation no longer
updates fileId2Url map. Producer only reads it; consumer never writes.
- Use mem.Allocate/mem.Free for copy buffer to reduce GC pressure.
- Add local cancellable context so consumer errors (client disconnect)
immediately stop the producer and all in-flight fetch goroutines.
* fix(test): remove dead code and add Range header support in test server
- Remove unused allData variable in makeChunksAndServer
- Add Range header handling to createTestServer for partial chunk
read coverage (206 Partial Content, 416 Range Not Satisfiable)
* fix: correct retry condition and goroutine leak in prefetch pipeline
- Fix retry condition: use result.fetchErr/result.written instead of
copied to decide cache-invalidation retry. The old condition wrongly
triggered retry when the fetch succeeded but the response writer
failed on the first write (copied==0 despite fetcher having data).
Now matches the sequential path (stream.go:197) which checks whether
the fetcher itself wrote zero bytes.
- Fix goroutine leak: when the producer's send to the results channel
is interrupted by context cancellation, the fetch goroutine was
already launched but the result was never sent to the channel. The
drain loop couldn't handle it. Now waits on result.done before
returning so every fetch goroutine is properly awaited.
