BatchStore.store held the range's row (SELECT … FOR UPDATE) for the
whole batch transaction (15-20 s on the HDD), so the prefetcher's
spooled_chunks updates and the heartbeats of that range waited on it
(0.5 s on average): the prefetcher's NNTP connections sat idle. Now an
advisory lock per range serializes its batches, and the resume point is
checked again in the final, conditional update.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A picture group's batch has 30-55k release keys; an advisory lock each
ran Postgres out of shared memory (max_locks_per_transaction), and those
batches failed with HTTP 500 (the ranges went back, nothing stored).
A chunk only matches releases of its range's group, so one lock per
group serializes exactly the writers that could both start an upload.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A poster re-uploading under the same name made one release of all
uploads: in a sample, 24% of releases with 2+ files had a file name more
than once (4.3% of files extra copies), 70% of those copies posted a day
or more apart; their NZBs listed each copy.
- File assembly keeps a re-upload's copy apart: a part already in every
open copy, posted more than 3 h from them, starts another copy; a
missing part fills the nearest copy (a re-send of what was missing),
a re-sent part near a copy that has it is ignored as before.
- A key's files in a batch split into uploads where posting pauses for
more than 3 h, counted from the latest article posted so far (a file
that takes hours to post doesn't split it); each upload is judged and
chunked on its own (ReleaseChunk.upload, .postedLast; candidates carry
their upload).
- The catalog matches a chunk to the release of its key whose articles
the range's group owns and whose posting window is within 3 h, else
starts one (key, key:2, …): releases get identity_key, group_id,
last_posted_at. Keys are locked in order (advisory locks), so
concurrent batches neither deadlock nor both start one; the merger
writes in key order too. The same upload multi-posted to other groups
is a release per group.
- The gap: 91% of uploads post within 3 h; 73% of re-uploaded copies
come later (releases:upload-gaps). releases:duplicates measures the
duplicate names.
Both implementations; check.ts compares the windows and uploads too
(identical on all captures; Rust tests mirror the TypeScript cases).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- releases.complete is computed with every batch (files >= the
counter's total) instead of only when a release settles after 6 quiet
hours: the 'complete' filter matched nothing in a fresh catalog.
- A release's file total comes from any counter form (counterTotal:
'(01/10)', 'File 27 of 132', …), not only [i/M]; the post rule's key
keeps the [i/M] total, so keys are unchanged. Both implementations.
- groups.tail: a group's live tail can be paused (its history and owner
priority stay), e.g. to let other groups' history go first.
- Stats: history by articles, and the current pass (history ranges
before those deferred 2000 priorities behind) as its own figure; the
header showed 0.1% of ranges counting 145k deferred ones.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Files cut by a range's edge are put together once the ranges around them
are done (coordinator:run, every minute): a complete file is judged by the
rules and written as a release chunk with probe candidates; one still
missing parts while both neighbouring ranges are done is dropped and
counted (incomplete/edge). A neighbour not planned yet counts as not done,
except before the group's oldest article. BatchStore.writeReleases is the
shared write path.
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>
A batch is stored in one transaction and only at its range's resume
point, so a retried batch can't count twice. Garbage is judged before
per-article: a dropped tool isn't worth reading bodies for either.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
