Align the NIP-77 large-corpus plan with strfry's actual defaults:
500_000-byte frame cap (not 64 KB), no default since-window, 200
shared sub cap, max_sync_events overflow protection, exact NEG-ERR
wording, and 32-byte id storage. Add a strfry round-trip benchmark
and call out the BTreeLMDB pre-built tree as a follow-up.
Tier 3 used to say operators "must omit VerifyPolicy from their
policy chain" when parallelVerify is on — that turned out to be
the AUTH-verify regression caught in the audit. Updated the plan
to describe the real wiring: VerifyPolicy was split into a
parameterised base with two singletons, and composePolicy swaps in
VerifyAuthOnlyPolicy so AUTH commands keep signature verification
even when the IngestQueue takes EVENT verify.
Closes the last item on the event-ingestion-batching plan: signature
verification no longer serialises on each connection's WebSocket
pump. Instead, IngestQueue takes a `verify: ((Event) -> Boolean)?`
hook and fan-outs the per-batch verify across Dispatchers.Default
(`coroutineScope { events.map { async { verify(it) } }.awaitAll() }`)
before opening the SQLite transaction. Failed verifies pre-mark
Rejected and skip the insert.
Wiring:
- NostrServer takes `parallelVerify: Boolean = false` (opt-in to
preserve existing behaviour for direct library users).
- geode.Relay forwards a matching flag.
- Main.kt enables it whenever signature checking is on (config
`[options].parallel_verify = true`, default true), and when so,
composePolicy is told to skip VerifyPolicy from the chain to
avoid double-verifying every event.
- New CLI escape hatch `--no-parallel-verify` for the legacy path.
Bench: adds publishGroupCommitSingleClient (sequential publish-and-
confirm; 500 EPS regression floor for the synchronous path) — the
companion to the existing pipelined bench that exercises the
group-commit + parallel-verify wins.
Plan doc updated to describe what shipped (batchInsert + SAVEPOINTs
in Tier 1, IngestQueue mechanics in Tier 2, the verify hook in
Tier 3) and to drop the obsolete `synchronous=NORMAL` confirmation
note — the project ships `synchronous=OFF` and intentionally keeps
that.
OK frames carry the event id, so clients pair replies by id rather
than by arrival order. NIP-01 also treats OK true as "accepted," not
"fsynced." That removes two constraints the plan was carrying:
- no per-connection FIFO requirement on OKs
- no need to delay OKs until after batch fsync
Tier 1 can fan OKs out as soon as the per-row INSERT returns inside
the open transaction, hiding the group-commit fsync entirely from
publisher latency. Tier 2 drops the order-preserving commit log and
just sends OKs straight to outQueue. The pipelined benchmark now
checks one-OK-per-event-id rather than ordering.
Marks Sketches A and B done, with a note that A took the simpler
Channel.UNLIMITED + AtomicInteger cap path the original Risks section
called out, sidestepping the channel-swap that the plan first
sketched.
Records that the streaming-filter slice of Sketch C landed in Quartz,
and that the larger envelope-streaming work the plan called out is
unnecessary because MessageDeserializer / CommandDeserializer /
EventDeserializer were already streaming — only the filter sub-object
went through readTree.
Adds the verification benchmarks (connectionsHeldOpen10k,
connectionsHeldOpenWithFanout) to the verification section, with a
correction that what's measured is JVM heap not OS RSS.
Carries forward the not-done items (fan-out de-duplication,
filter-matching index, Netty engine) into the open-work section,
pointing at live-broadcast-fanout-index.md for the highest-leverage
remaining work.
Four sketches, queued by impact, each grounded in current code paths
and observed benchmark numbers:
- event-ingestion-batching: SQLite group commit + EVENT pipelining +
off-thread Schnorr verify. Targets 5–10× EPS on a fast SSD.
- live-broadcast-fanout-index: indexed filter matching to replace the
O(N_subs × N_filters) per-event walk in LiveEventStore. Targets
flat fanout p99 up to high subscriber counts.
- connection-scaling: shrink the per-session outQueue footprint
(currently the dominant per-conn cost), tune Ktor CIO group sizes,
reduce JSON parse allocations. Targets 10 000+ concurrent conns.
- negentropy-large-corpus: id-and-time-only snapshot path so NEG-OPEN
on a 5M-event store doesn't materialise full Event objects, plus
bounded-window defaults and concurrent-session caps.
Each plan names the verification benchmark to add. Plans are queued,
not committed work — README orders them by expected impact.
Claude