onestardao commented on issue #15054:
URL: https://github.com/apache/lucene/issues/15054#issuecomment-3182112262
Thanks for the clear report — tracking this as #15054.
From your description/logs, the exhaustion appears only after switching the
open calls to IOContext.DEFAULT for remote store. That strongly suggests a
lifecycle / caching leak tied to thread-local or map-based input caches:
In several Lucene paths, DEFAULT enables buffered/random access and may
hit helpers that cache IndexInput/buffers per thread (e.g., via
CloseableThreadLocal or a Map keyed by thread/file).
Because your open and close happen on different threads in remote store,
those per-thread entries may never get removed, leading to an unbounded map
growth and the “exhaustion of maps” you’re seeing.
Quick triage you can try:
Verify same-thread close: ensure every IndexInput opened under DEFAULT
is closed on the same thread (wrap in try-with-resources and log
Thread.currentThread() on open/close).
Heap histo to find the owner: capture a short heap dump when growth
starts; look for big ConcurrentHashMap / CloseableThreadLocal instances under
*IndexInputProvider* / store layer to confirm what’s retaining entries.
Use READONCE where sequential is sufficient: for bulk/streamed reads
(e.g., copy/restore paths) prefer READONCE, reserving DEFAULT only for random
access code paths.
Temporary guard: if you do need DEFAULT, add an explicit cleanup hook in
the remote store layer to remove per-thread cache entries on close (same
thread), or avoid thread-keyed caches on that path.
Repro test: a small test that opens via thread A and closes via thread B
under load should reproduce the leak if that’s the cause.
If you can share a minimal repro (or heap histo dominant types / the map
owner class), it’ll help pinpoint which cache needs a fix in Lucene vs. in the
remote store integration.
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