For workers on a shared line (poweredge-kantoor: 160 Mbit/s): the range
stream is read at most at the cap, TCP holds the coordinator back. The
cap is the node's, split over its processes (also EDGE_MAX_MBIT).
REBUILD.md: where workers run (connections set the speed; remote workers
take CPU off homelab).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
On homelab (1 Gbit, 20 connections, ~630k articles/s) the coordinator
used 1.3-1.7 cores, mostly GC of the text it inflated only to know a
compressed reply was complete, plus a copy of every reply. A raw reply
is now complete when it ends in ".\r\n" (no copy): 0.4-0.5 cores at
the same rate.
".\r\n" can also end a network read inside the compressed data (~1 in
16M reads, a few dozen times over the whole target). Such a chunk
doesn't inflate on the worker: it reports it (POST ranges/:id/corrupt),
the spooled chunk is removed and the range goes back to the queue; the
prefetcher fetches it again. The rest of that reply breaks the
connection's next command, so the connection is replaced.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
It checked only after a data frame, so a worker waiting for its range's
spool (keep-alive frames only) never stopped on SIGTERM.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
decodeFrames joined each network piece (~64 KB) onto the frame so far:
a chunk of MBs copied over and over, 5.4% of a worker's time in an
end-to-end profile (the bench reads files, so it never showed). Pieces
are now joined once a frame is complete. A batch post's gzip (1.6%) runs
on a thread-pool thread.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Eweka takes ~1.5–2 s per XOVER command whatever its size. One connection
on recent a.b.boneless: 9–15k lines/s in chunks of 25k, ~20k in 50k,
~30k in 100k–200k. Four connections at once: 15k each at 50k, 22k each
at 100k (the same as one connection alone at that moment): connections
don't slow each other. CHUNK_ARTICLES defaults to 100k; edge:node posts a
batch every --batch-articles (500k) instead of every N chunks.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
On the 4-core workstation (shared with coordinator, web server and
database): 3 processes indexed 6 boneless ranges (12M headers) in 37 s,
~324k headers/s.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
End to end (workstation, recent a.b.boneless ranges from the spool): a 2M
range in 10–12 s, 166k–202k headers/s per worker process (edge:bench on
one core: 215k).
- Prefetcher: spooled_at was set against a total counted from the range's
resume point, which shrinks as the worker advances: the last chunks were
never fetched and the worker waited. Now counted against the whole
range, only new chunks counted, and leased ranges are always checked
against the files. Planned ranges ahead are bounded (it had spooled ever
more); the spool size is measured every 30 s (a stat per file).
- The stream sends an empty frame every 20 s while waiting for a chunk
(Node's fetch gave up on a quiet body after 5 minutes).
- A range taken over midway: the first batch starts at the resume point
(it started at the range's start and was refused).
- edge:node inflates the next chunk on the thread pool while indexing the
current one, and doesn't wait for a post before indexing on (posts stay
in order; a failed post stops the range).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The worker reads the XOVER reply's text directly: fields by position, the
owner from the Xref without arrays (crossposts leave before any subject
parsing), a subject parsed once per file (cached without its segment
counter), a file's details as one shared object, dates as numbers.
Garbage collection had been ~22% of the time.
Same results as parseOverviews + segmentFromHeader on 800k real lines.
edge:bench (one core): boneless 137k → 193k headers/s (CPU 21 → 12.8 s),
ath (2013) 143k → 303k; peak RSS 1.15 / 0.87 GB.
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>
- groups:add / ranges:plan / nodes:create / coordinator:run commands
- the node API: lease, the range's chunks as one framed stream from the
spool, batches, heartbeat, finish, release (node guard, token per node)
- edge:node: needs COORDINATOR_URL and NODE_TOKEN only (placeholders for
the rest), posts a batch every 10 chunks, gives its range back on SIGTERM
- releases are gathered per batch: 1.04 chunk rows per release at 10
chunks per batch (1.35 when built per XOVER chunk)
- partitions are checked per batch instead of remembered
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
