Waiting files counted as work, so the merge loop re-read them for its
whole 30 s budget every minute: Postgres used ~a core even without
workers. Now ~4% at rest, and storing a boneless range costs Postgres
~0.7–1.9 s of CPU (it was 33 s with the loop running). Chunk payloads
are stored EXTERNAL (zstd already; no pglz attempt).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
End to end on the workstation (coordinator:run, the API, edge:node, real
NNTP): a.b.e-book.french and a.b.cd.image.playstation2.dvdiso ranges.
- Prefetcher: every connection takes the next missing chunk (leased
ranges first, in order); one connection per range (~26k lines/s) kept
the worker waiting
- executable rule: releases of bare executables (malware floods named
after films and software) are dropped; they were 92% of the catalog rows
of the test ranges, 21% of the segments
- fragments per file (details once) and gzipped batch bodies; the JSON
limit (1 MB by default) raised to 256 MB, empty strings kept (a rule
count's key is '')
- release_chunks.batch_from is a bigint (boneless article numbers)
- tests get their own database; edge:bench --store times BatchStore:
1.3 s for a boneless range (1.24 ms per release chunk)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>