multiRelayPoolReturnsContentFromEachRelay flaked with
"expected:<from-b> but was:<null>": the SubscriptionListener wrote the
per-relay results into a plain HashMap/HashSet, but each relay delivers
its EVENT/EOSE on its own InProcessWebSocket scope (Dispatchers.Default)
and PoolRequests dispatches the listener callbacks outside any lock. Two
relays therefore call `received[relay] = ...` concurrently, and a
HashMap.put racing a rehash can drop an entry, leaving a relay's value
null and failing the assertion.
Use ConcurrentHashMap and ConcurrentHashMap.newKeySet() for the shared
collections. Reproduced within 7 runs before the fix; 80 stress runs
clean after.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HeAjLDNBvGPjb5bfViU3ad
The first cut appended :geode:test to the build-desktop matrix command.
That was wrong twice over: geode is JVM-only, so it ran 3× across the
ubuntu/macos/windows matrix, and — because org.gradle.parallel=true —
its default suite's CPU-heavy throughput benchmarks (a 1M-event mirror
sync, WireReqFloor, NegentropyServerReconcile) ran concurrently with the
timing-sensitive quartz relay-client tests, flaking
NostrClientReqBypassingRelayLimitsTest.denseSecondBeyondCapIsSteppedPastWithoutStalling.
Move :geode:test into its own test-geode job (needs: lint, ubuntu, JVM
21) so it runs once and its benchmark load can't starve another module's
timing assertions.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KCdJwdhGtmLZ12ViS56S3k
geode was runnable only via ./gradlew :geode:run and was absent from CI.
Give it the same release process as the amy CLI (it's the same kind of
application-plugin JVM module), plus the pieces a long-running server
daemon needs that a one-shot CLI does not.
- Main.kt: add terminal --version/-V and --help/-h flags so a packaged
binary has a fast, exit-0 command (Homebrew test block, package smoke
checks, Docker healthcheck).
- build.gradle.kts: jlinkRuntime + geodeImage (portable flat app-image
with a bundled JRE, plus config.example.toml + geode.service under
share/) + jpackageDeb/jpackageRpm, mirroring cli/. No Compose to
exclude — geode depends only on :quartz.
- Dockerfile + .dockerignore: multi-stage image (gradle installDist ->
temurin JRE), the primary channel for relay operators.
- packaging/: systemd unit, macOS hardened-runtime entitlements, and a
reference Homebrew formula.
- scripts/asset-name.sh: geode_asset_name/collect_geode_assets under the
canonical geode-<version>-<family>-<arch>.<ext> scheme.
- create-release.yml: build-geode matrix (tarball + deb/rpm + no-JRE jvm
bundle, with a serve+NIP-11 smoke test of the jlink image) and a
docker-geode job pushing ghcr.io/<owner>/geode:<version> (+ :latest).
- bump-homebrew-geode-formula.yml: auto-sync the reference formula on
stable releases.
- build.yml: run :geode:test in CI (it ran in no workflow before).
- README.md + plans/2026-07-24-geode-release.md: operator docs + design.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KCdJwdhGtmLZ12ViS56S3k
Geode hard-wired the SQLite EventStore. Add a `[database].backend`
selector (and `--store` CLI flag) so an operator can choose the store
implementation:
- "sqlite" (default): the SQLite EventStore, unchanged.
- "fs": quartz's filesystem FsEventStore, rooted at [database].file.
- any other value: a fully-qualified class name of a custom
IEventStore on the classpath, instantiated reflectively via one of
`(NormalizedRelayUrl?, IndexingStrategy)`, `(NormalizedRelayUrl?)`,
or `()` — the "plug in anything" escape hatch.
Store construction moves into a new StoreFactory (mirrors cli's
StoreFactory) shared by the serve path and the import/export verbs, so
both open the same store from the same config. The SQLite-only
`PRAGMA optimize` maintenance loop now runs only when the resolved
store is the SQLite one.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01GG3TBvLUv5uB5js1naG5sc
TagAuthorIndexBenchmark at 1M events settles the flag: the DM-room
shape (kinds + authors + #p, 65 client assembler call sites) drops
14.2 ms -> 0.66 ms (~21x, growing with corpus size) while batch-insert
cost stays inside run noise (49.0 vs 47.4 us/event). Existing relay
DBs build the index on next open via ensureOptionalIndexes.
Also refreshes the docs the numbers made stale: IndexingStrategy KDoc
now records the 200k and 1M measurements instead of a TODO,
MergeQueryExecutor's tag-merge note points at the new relayBench
reactions-watch scenario, FsQueryPlanner/FsDriverSelectionBenchmark
reflect the landed cost-based pick (149 ms -> 4.0 ms at 30k events),
and RELAY.md documents that strategy flag flips materialize indexes on
the next open.
Verified: quartz jvmTest store suites, geode test (126), desktopApp
LocalRelayStore tests (5, incl. reopening a default-strategy DB with
the new pubkey-alone flag), relayBench compiles.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RzkoN3SJHCZWRAiadXXG4w
RelayAuthenticator.signWithAllLoggedInUsers gained an `interactive`
Boolean parameter, but these two geode auth tests still passed a
two-arg lambda and no longer compiled. Accept and ignore the flag.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0129yvP2hmVeDFfuKKy94tqX
Drive a real NostrClient against an in-process geode relay running
FullAuthPolicy, publishing a NIP-17 gift wrap through the PoolEventOutbox
retry queue. The first EVENT races ahead of AUTH and is rejected
`auth-required`; a RelayAuthenticator answers the challenge and the
still-pending wrap is resent on the post-AUTH resync and stored. This is
the integration counterpart to PoolEventOutboxAuthTest and exercises the
"auth-required must not burn the retry budget" fix end-to-end. A control
test (no authenticator) proves the relay genuinely gates, so the delivery
assertion isn't vacuous.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EZjmYpgHP4pf79Sav5QT8a
Drop the flaky publish-into-large-relay warmup from DeletionSettleBenchmark
(it timed out the measured reconcile at N=100k — the container noise the
docstring already warns against) and remove the throwaway ScratchSettleTiming
investigation tool. Record in the docstring what the phase breakdown proved:
the settle's extra time over a bare reconcile is O(K) relay-ingest of the K
residual deletions, dominated by one-time JVM/JIT warmup of the publish path
(consecutive K-note batches fell ~3100->570ms), not the deletion algorithm and
not O(N).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JgL1WTV4Hkp2uuXcUHCHGt
relayBench measures relay-to-relay reconcile, not the amy/quartz client feature,
so the deletion-settle perf claim belongs in an in-process benchmark of
negentropySettleDeletions itself.
Models the post-content-settle state: a relay with N notes, a local store with
the same N except K it deleted (keeping the K kind-5s). The reconcile residual is
exactly those K, so a sendUp settle fetches K — not N. Asserts residual==K,
sentUp==K, and relay convergence (correctness guard at the small default N),
and prints one-reconcile vs full-settle so the deletion overhead reads as
"a few reconciles + K", never "+ a content re-download". Measured:
N=2000 K=20: settle ~2x one reconcile, fetched K=20 not N
N=100000 K=20: settle ~5x one reconcile, fetched K=20 not N=100000
The growth is the relay rebuilding its negentropy index after the deletions
(O(N) once) — inherent to applying deletions, and still far cheaper than
re-fetching the need set, which the old per-need-fetch approach did.
Scale with -DdelBenchN / -DdelBenchK (forwarded by the geode test task).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JgL1WTV4Hkp2uuXcUHCHGt
The two-pass deletion convergence is protocol logic, not CLI assembly, and the
geode mirror is a near-term second consumer — so move it out of SyncCommand into
a reusable accessory alongside the rest of the negentropy family.
quartz: negentropySettleDeletions(relay, filter, store, sendUp, applyDown, …) —
re-reconciles after a content settle and resolves only the residual: publishes
our covering deletions up (sendUp) and/or ingests the relay's kind-5 down
(applyDown, vanish never auto-applied), looping until a round resolves nothing.
Returns DeletionSettleResult(sentUp, appliedDown, rounds). Everything it needs is
already quartz (negentropyReconcileIds, fetchAll, deletionsCovering,
publishAndConfirm, Event.verify, IEventStore), so it carries no CLI dependency.
SyncCommand's pass 2 collapses to a single call; pass 1 (content) is unchanged.
Catalogued in the accessories README.
Tests: DeletionSyncTest drives the accessory end-to-end both ways (sendUp → relay
converges to gone; applyDown → local converges to gone), on top of the existing
deletionsCovering unit + manual-wiring cases.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JgL1WTV4Hkp2uuXcUHCHGt
Replace the per-need-event fetch (which pulled the whole need set just to read
metadata — an O(db) regression on large syncs) with a second reconcile pass over
the residual, per the "settle, then diff, then explain what didn't converge" idea.
Pass 1 is the plain content sync again (drain needs, publish haves) — zero
deletion overhead. Pass 2+ re-reconciles; the leftover diff is exactly the
deletion mismatches, and only that (tiny) set is fetched:
- residual need (relay has it, we still lack it after --down) = we deleted it →
publish our covering deletion up so the relay drops it;
- residual have (we have it, relay still lacks it after --up) = the relay deleted
it → pull the relay's covering kind-5 down and apply locally (vanish is NOT
auto-applied on pull — account-wide blast radius).
Loops until a round resolves nothing (converges + self-verifies).
So `amy sync` makes the relay honor our deletions; `--up` makes us honor the
relay's; `--up --down` converges both ways. Cost is one cheap reconcile + the
residual regardless of database size — the large-DB bottleneck is gone by
construction, not by heuristics.
quartz: deletionsCovering is now source-agnostic (takes a query lambda) so the
same coverage rule runs against the local store (up) or the relay (down); the
IEventStore overload is the local convenience.
Tests: DeletionSyncTest gains the down-direction end-to-end (relay deleted →
local removes) alongside the up-direction and the per-form unit cases.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JgL1WTV4Hkp2uuXcUHCHGt
Refine the sync deletion rule to what was asked: for the events the relay HAS
that we LACK (the reconcile need set), publish only the local deletions that
would actually make the relay remove them — and nothing else, not other
deletions by the same author.
Determining coverage needs the need event's author/address/created_at, which we
don't have for an id we lack, so we fetch the need events (raw — no verify, no
store) purely for metadata. quartz gains IEventStore.deletionsCovering(events,
relay), which maps server-held events to the covering local deletions across all
three forms:
- NIP-09 id-based: a kind-5 with an `e` tag naming the event id;
- NIP-09 address-based: a kind-5 with an `a` tag naming the event's
addressable/replaceable coordinate, at/after it (created_at <= deletion);
- NIP-62 vanish: a kind-62 by the event's author, targeting this relay, issued
after it (created_at < vanish).
SyncCommand's need workers now fetch each need batch once (Context.fetchRaw),
publish its covering deletions (deduped across workers), and — when --down —
store the rest; anything we deleted is rejected by the store's own tombstone.
Nothing is pulled down or applied locally, so it cannot over-delete the store.
DeletionSyncTest covers each form (with cutoff and wrong-relay negatives) plus an
end-to-end reconcile → cover → publish that removes the note on the relay.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JgL1WTV4Hkp2uuXcUHCHGt
Per the actual requirement, deletion propagation is exactly: for the ids the
relay HAS that we LACK (the negentropy need set), if we hold a kind-5 deletion
targeting one of them, publish that deletion up — so a note we deleted is
deleted on the relay too instead of being re-downloaded. Only the need ids,
only kind-5, up only.
This removes all the machinery the earlier approach accreted and that the audit
flagged as over-broad / data-loss-prone:
- deleted NostrClientDeletionSyncExt (the bidirectional side-channel, author
scoping, vanish gating, kind selection);
- reverted geode MirrorWorker to base (no deletion side-channel, live-sub
changes, catch-up ordering, or convergence changes);
- dropped the 3-phase SyncCommand flow (deletions-first pull, author-scope
derivation, reject-reaction backstop, --sync-vanish, deletions_* output).
The new path pulls nothing down and applies nothing locally, so it cannot
over-delete the store, and it needs no author scoping — the need set already
bounds it. Kind-62 is intentionally excluded: a vanish is not "of an id".
Emits deletions_sent. DeletionSyncTest now exercises the exact wiring
(reconcile → look up local kind-5 by its e tag for the need ids → publish),
including the negative case (a need id we never had sends nothing).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JgL1WTV4Hkp2uuXcUHCHGt
An audit (adversarial-verified) found the deletion side-channel over-deletes
and over-propagates. Root cause: deletionSideChannelFilter fell open to
authors=null for any non-author-scoped content sync, so `amy sync --kind 1`
reconciled the RELAY'S ENTIRE kind-5/62 history and applied it to the personal
FsEventStore — every kind-5 deleting its targets + installing an id-tombstone
for every target id, every ALL_RELAYS kind-62 wiping all of a pubkey's events
(all kinds), and pushing our whole local deletion history up. Data loss plus a
full-history reconcile on every scoped sync.
Fixes:
- Bound the side-channel to the authors we actually hold content for (filter
authors ∪ local matched-set authors), never the relay's population. Skip when
that scope is empty; Phase 3's reject-reaction covers the author-less case.
- Kind-5 (precise, owner-scoped) propagates by default; kind-62 vanish is opt-in
via --sync-vanish (its blast radius always exceeds a content sync's scope).
- excludesDeletionKinds() now checks each deletion kind independently
(`--kind 1,5` no longer silently drops kind-62); the side-channel reconciles
only the missing kinds.
- amy Phase 1 is best-effort: a deletion-reconcile failure records deletions_error
and falls through to content, never aborting the primary sync (matches geode).
- Mirror up-catch-up converges on whether a PUBLISHABLE event was pushed, not raw
haveCount — a vanish targeting another relay no longer burns all 8 rounds every
startup. Mirror keeps its (correct) global scope for relay-to-relay replication.
Helper API: negentropyPropagateDeletions gains scopeAuthors + deletionKinds;
deletionSideChannelFilter takes authors + deletionKinds and returns only the
missing kinds. Tests updated for the new semantics.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JgL1WTV4Hkp2uuXcUHCHGt
Reorder amy sync so both sides fully reflect each other, including deletions:
1. Deletion side-channel now runs FIRST, before content, in both directions.
The content snapshot is taken AFTER it, closing a resurrection bug: a
deletion pulled down mid-sync removes a local event, but the old top-of-run
snapshot still listed it and would re-offer it up — resurrecting it on a
relay that also lacked the deletion.
2. Content reconcile, over the post-deletion snapshot.
3. Reject-reaction backstop: when the relay blocks a content push (usually it
holds a deletion we lack), pull that author's kind-5/62 and ingest locally
so we stop re-offering the dead event. Verify-by-fetch — only a real
deletion the store accepts has any effect; fires only on an actual reject.
The up-push of deletions is already verified per-event: ctx.publish awaits the
relay's OK, and ingesting the kind-5 runs the delete synchronously, so OK=true
confirms the remote applied it.
Mirror catch-up gets the same deletions-first ordering (down and up), so a
deletion lands, or the reject-trigger is armed, before its target — no
add-then-delete churn.
Tests: MirrorDeletionSyncTest gains scopedUpMirrorPushesDeletion (authoritative
push — local holds the deletion, remote drops the note).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JgL1WTV4Hkp2uuXcUHCHGt
NIP-77 reconciles by event id over the content filter, so a scoped sync
(`--kind 1`) never carries the kind-5/62 that deletes one of those notes:
the deletion stays stuck on whichever side issued it while the target
lives on forever on the other. Add a deletion side-channel that reconciles
kinds 5 & 62 on their own, independent of the content filter.
quartz: NostrClientDeletionSyncExt — DELETION_PROPAGATION_KINDS,
Filter.excludesDeletionKinds()/deletionSideChannelFilter() (kinds 5/62 scoped
to the same authors, no time window since a deletion's created_at is not its
target's), shouldPropagateDeletionUp() (kind-5 always; kind-62 only to a relay
it targets, honoring the vanish's declared relays), and
negentropyPropagateDeletions() — one bidirectional reconcile that streams
have→upload and need→download.
amy sync: run the side-channel bidirectionally regardless of --up/--down
whenever the filter excludes 5/62; emits deletions_{need,have,downloaded,
uploaded}; --no-sync-deletions opts out.
geode MirrorWorker: thread a per-upstream deletionScope through both catch-up
phases and both live subs (down + up), in the mirror's configured direction;
relax down containment to accept in-scope deletions, gate kind-62 pushes by
target relay, and carry the deletion filter on re-subscribe so a reconnect
never drops it.
Tests: DeletionSyncTest (up/down propagation + filter/vanish-gate units) and
MirrorDeletionSyncTest (a kind-scoped down mirror still removes the note).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JgL1WTV4Hkp2uuXcUHCHGt
The `import`/`export` engine is pure protocol/store logic — it operates only on
the `IEventStore` interface and Quartz event types (Event, OptimizedJsonMapper,
verify, Filter), with zero geode dependency — so per the sharing philosophy
("quartz = Nostr business logic, protocol, data") it belongs in Quartz, not in
the geode app. Any Quartz consumer (a relay, the `amy` CLI, a desktop
backup/restore) can now reuse it.
- move `com.vitorpamplona.geode.ImportExport` →
`com.vitorpamplona.quartz.nip01Core.store.NdjsonImportExport` (commonMain,
next to IEventStore); rename for a clear library-level name.
- geode keeps only the CLI glue (verb dispatch, arg parsing, file/stdin/stdout,
the stderr summary) in Main.kt, delegating to the Quartz engine.
- move the test into quartz jvmTest, rebuilt on Quartz's own EventFactory +
NostrSignerSync (real Schnorr signing) instead of geode fixtures.
No behavior change — `geode import`/`export` work exactly as before (verified
end-to-end previously); this is purely where the code lives.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Bulk NDJSON import/export as first-class geode subcommands, mirroring
`strfry import` / `strfry export` (one JSON event per line — the interchange
format for seeding a relay, migrating between relays, or taking a backup):
geode import [--db …] [--no-verify] [FILE…] # files, or stdin when none
geode export [--db …] # NDJSON to stdout
Both stream — memory is bounded to one batch (import) / one event (export), so
a multi-million-event corpus round-trips in roughly constant memory. `import`
verifies signatures by default (same `Event.verify()` the relay's VerifyPolicy
uses), upholding the relay's verify-by-default stance rather than trusting the
file; `--no-verify` is the trusted-input escape hatch. Verb dispatch is
backward-compatible: a bare `geode --port …` (no verb) still serves.
This makes the benchmark-only `CorpusServerMain` redundant — a corpus source is
now just `geode import` into a DB, then a normal `geode` serve — so it's
deleted, removing benchmark-only code from the production geode artifact (the
question that started this). The 1M sync-throughput plan is updated to describe
sources via `geode import` + serve.
Also fixes a native-target CI break: MergeQueryCorrectnessTest used the
deprecated `String(CharArray)` (error-level on Kotlin/Native) — switched to
`CharArray.concatToString()`.
Verified end-to-end through the packaged `geode` binary: import (file + stdin,
--no-verify), export round-trip, and verify-on rejecting bad signatures.
ImportExportTest covers the counts, duplicate handling, malformed-line
skipping, and verify accepting a freshly-signed event while rejecting bad sigs.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Follow-up to the audit fixes so nothing describes the pre-fix behavior:
- CorpusServerMain: drop the leftover "reuses an already loaded DB … skips
the reload" comment above `val dbFile` — the sentinel-gated reuse it
described is now spelled out in the block just below it.
- sync-throughput-1m plan: the up-catch-up now streams `negentropyReconcile`
(publishing each onHaveIds batch) instead of materializing the full diff
via negentropyReconcileIds; note the O(batch) memory win at 1M.
- follow-feed plan: the k-way merge dedups repeated authors/kinds, and its
id-ASC tie-break is byte-exact vs the single-SQL path only when the store
indexes id (useAndIndexIdOnOrderBy) — otherwise ties fall in rowid order.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Two benchmark-integrity bugs that could invalidate sync numbers while a run
reports success:
- CorpusServerMain keyed its serve-existing decision only on port + row
count, so re-running a port with a different corpus/maxCount, or after a
load crashed mid-way, silently served a stale/partial DB. Gate reuse on a
completion sentinel keyed on corpus identity (path + byte length) and
maxCount, written only after a full load; on any mismatch the prior DB is
dropped and reloaded.
- CorpusDownloader treated CLOSED identically to EOSE, so a relay ending a
sub early (rate-limit/policy) after sending a partial page advanced the
cursor past the unsent tail — silent corpus loss. Treat CLOSED as a soft
failure (null → reconnect and retry the same cursor; the id dedup set
absorbs the re-fetch), distinct from EOSE which means the page is
complete.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
runCatchUpUp used negentropyReconcileIds, which builds the FULL need+have
id lists in memory even though the up direction only needs haveIds — on a
large window (e.g. 1M local events against an empty upstream) that is a
~100 MB+ heap spike per convergence round, plus a needIds list built and
immediately discarded.
Switch to the streaming negentropyReconcile: publish each haveIds batch as
it arrives (bounded to one batch of ids) and drop the need direction via a
no-op onNeedIds. The publish still suspends the reconcile round, so the
back-pressure and the reconcile-as-delivery-check convergence loop are
unchanged — only the peak memory drops from O(window) to O(batch).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Reuse the file-backed source DB when it already holds events instead of
deleting + reloading the corpus every boot, so re-running a single sync pair
skips the multi-minute load.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
- MirrorSyncThroughputTest: add -DsyncVerify (default true — `strfry sync` always
verifies received events, so the negentropy sink verifies too for an
apples-to-apples comparison) and -DsyncFts (default true; pass false to match
strfry, which has no NIP-50). Both forwarded through the geode test task.
- CorpusServerMain: a benchmark-only tool that boots a real geode relay
(geode's default indexing) preloaded with an NDJSON corpus over a file-backed
store and serves forever, so `strfry sync` / another geode / the negentropy
sink can reconcile against a geode source holding the same 1M corpus a strfry
source does.
Used to run the 4-pair 1M negentropy sync comparison (geode↔geode, strfry→geode,
strfry↔strfry, geode→strfry).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
strfry's `sync --dir` is bidirectional (its source: doUp = both||up,
doDown = both||down), but geode's catch-up was down-only. Add the up half so
`dir=up`/`dir=both` reconcile-and-push matches `strfry sync --dir both`.
runCatchUpUp reconciles the local set against the upstream (negentropyReconcileIds)
and publishes the events we hold that the upstream lacks (the reconcile's `have`
ids). Symmetric to the down catch-up: same one `dir`, live up-session starts at
`now` when the up catch-up covers history.
Reliability: client.publish's outbox is best-effort under a bulk burst (each
publish also churns a reconnect — measured ~1-2% dropped per pass), so the push
runs as a reconcile→push convergence loop. Each round re-reconciles — the
reconcile IS the delivery check against the upstream — and re-pushes only the
stragglers until the have-diff is empty. Test observed 3000 → 69 → 2 → 0 across
3 rounds, lossless.
Test: MirrorNegentropyCatchUpTest.negentropyCatchUpPushesUp pushes 3000 local
events to an empty (no-verify) sink and asserts all 3000 land. The four existing
mirror tests still pass (up catch-up needs a store + negentropyBackfill, both off
by default).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
geode's MirrorWorker mirrored `strfry router` (live REQ streaming) but had no
`strfry sync` equivalent, so backfilling a large foreign relay from empty could
not complete: a plain REQ dump of the history overruns the sink and strfry kills
the slow client at its maxPendingOutboundBytes cap (see
relayBench/plans/2026-07-04-sync-throughput-1m.md).
MirrorWorker now runs a one-shot NIP-77 "sync" catch-up per down/both upstream
before the live tail, using strfry's own vocabulary — one `[[mirror]]` entry,
one `dir` driving both phases:
- Catch-up reconciles the local set against the upstream over the
[now - backfill_seconds, now] window and downloads only the diff via the
existing INostrClient.negentropySyncOrFetch — client-paced (strfry can't
overrun us) and it completes the pull. Reconcile-against-local means a warm
restart re-fetches nothing it already holds, like `strfry sync`.
- Either mode, transparently: negentropySyncOrFetch auto-falls back to paged
REQ for an upstream without NIP-77 — no config toggle.
- Live REQ tail unchanged; it starts at `now` when catch-up is on (history is
the sync's job). The windows overlap at `now`; the store's unique-id
constraint dedups the seam.
Changes:
- quartz: add a backward-compatible `localEntries` param to the public
negentropySync / negentropySyncOrFetch (default empty = prior behavior) so the
reconcile diffs against a caller-supplied local set.
- geode MirrorWorker: `runCatchUp()` (bounded, backpressured ingest; same
trusted-scope re-check as the live path; failure is non-fatal). New `store` +
`negentropyBackfill` ctor params; default off so existing live-REQ tests are
unchanged. Main opts production in.
- Test: MirrorNegentropyCatchUpTest isolates catch-up from the live tail by
preloading historical events a live-only sub cannot deliver, then proves the
post-boot event still arrives (3000 catch-up + 1 live = 3001).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Adds a NIP-77 negentropy client path to MirrorSyncThroughputTest (default for
external sources; `-DsyncMode=req` keeps the paged-REQ drain). geode reconciles
its empty set against strfry, then client-paced fetch-by-ids + ingest.
Result on the 1M damus.io corpus (strfry source):
- reconcile (empty local → 995,024 need-ids): 11.4 s, 64 rounds.
- fetch + ingest: ~7,000 ev/s steady-state.
- overall: 994,936 / 997,980 in 171.0 s => 5,818 ev/s — COMPLETES.
This is the apples-to-apples counterpart to strfry→strfry's `strfry sync`
(both negentropy, same corpus, empty→full): strfry→geode 5,818 ev/s vs
strfry→strfry ~2,550 ev/s — geode ingests real content ~2.3x faster and
finishes the pull. The paged-REQ path, by contrast, stalls at ~310k every time
(strfry kills a slow REQ client at its 32 MB maxPendingOutboundBytes cap),
confirming that cross-relay bulk sync from strfry requires negentropy, not REQ.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Adds a strfry→geode drain mode to MirrorSyncThroughputTest and documents the
three-way 1M-corpus sync throughput comparison.
Findings (relayBench/plans/2026-07-04-sync-throughput-1m.md):
- strfry→strfry (strfry sync / negentropy): ~2,550 ev/s, completes.
- geode→geode (MirrorWorker REQ): 13,161 ev/s, completes — but inflated by
synthetic 4-byte content; real-content ingest is ~7,000 ev/s.
- strfry→geode (paged REQ drain, real corpus): sustains ~7,000 ev/s but does
NOT finish — strfry hard-kills a slower REQ client at its 32 MB
maxPendingOutboundBytes cap (~310k events in; confirmed by the source log's
"Pending: 32.01M" disconnects). Independent of heap (2G/10G) and the live
negentropy index (on/off).
Conclusion: strfry's REQ serving is structurally hostile to any client slower
than its scan (buffers outbound, then kills or OOMs). Only NIP-77 negentropy —
pull/reconcile-based and client-paced — completes a cross-relay bulk pull, which
is why strfry's own sync uses it. A production geode backfill from a foreign
relay should use negentropy, not the live-tail REQ path.
Also documents MirrorWorker's unbounded intake channel (a deliberate live-tail
trade) OOMing under a 1M bulk backfill, and forwards the sync* system
properties through the geode test task.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Adds -DsyncLiveIndex and a fast (no-live-index) source preload. Rate curves show
geode's mirror sustains ~20k ev/s with the live index off, but collapses to
O(n^2) with it on: the LiveNegentropyIndex is a sorted ArrayList whose per-event
insert is O(n), and a backfill delivers historical (non-near-tail) events, so
every insert memmoves ~n/2 entries.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Default EventStore(null) tokenizes FTS synchronously on every insert, which
dominates ingest and misrepresents mirror sync throughput. Use geode's actual
RelayIndexingStrategy (deferred FTS, live negentropy index) for both source and
sink, and log instantaneous events/s every 3s so the rate is visible during the
run.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Two pieces measuring how fast each sink pulls a large corpus from a source using
its native sync client:
- relayBench/sync-throughput-strfry.sh: `strfry import` N events into a source
strfry, boot it, `strfry sync --dir down` an empty sink, report events/s.
- MirrorSyncThroughputTest: geode downstream pulls via the real MirrorWorker
(WebSocket). Default in-process geode source (geode→geode); with
-DsyncSourceUrl it mirrors an external relay (e.g. strfry) for strfry→geode.
Sized by -DsyncN.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Streams 50k events from an upstream KtorRelay to a downstream via the production
MirrorWorker (real OkHttp WebSocket + trusted skipVerify ingest) and asserts the
downstream receives every one — 50000/50000, 0 missing.
This closes the last untested layer: the in-process guards (BatchInsertLossTest,
ConcurrentIngestLossTest) call IngestQueue.submit directly, bypassing the wire.
With this, geode is proven lossless end-to-end — store, concurrent pipeline,
background pool contention, RelaySession, and the real WS mirror path. The
~0.05% shortfall seen in the geode↔geode relayBench sync is therefore an
artifact of the harness's hand-rolled fetchByIds+publish delta transfer, not a
geode event-loss bug.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
The 1M relayBench run had geode losing the negentropy phase to strfry
(initial reconcile 6066ms/27r vs 1270ms/14r; identical-set 1947ms vs
557ms). Three layered benchmarks pin where the time actually goes:
- NegentropyReconcileBenchmark (quartz): the kmp-negentropy server loop
in isolation is ~200ms for the full 14-round exchange — the reconcile
ALGORITHM is not the bottleneck. (An early version showed 22s/139r;
that was a benchmark bug — index slices over randomly-sorted ids
scatter the diff. Real relayBench slices are contiguous time ranges;
monotonic created_at fixes it and matches strfry's round count.)
- NegentropyServerReconcileBenchmark (geode): the real in-process geode
server over loopback is 3214ms — 15x the library loop. JFR of the
server call-trees: ~40% hex/UTF-8/JSON serialization of the payloads,
~26% actual reconcile, rest allocation. The gap is the JVM
constant-factor tax on hex-in-JSON, which strfry pays in C++, not a
single hotspot.
- NegentropyPrefixFingerprintTest (quartz): the one algorithmic lever.
Negentropy's fingerprint is an additive sum mod 2^256, so a prefix-sum
table answers any range in O(1). Proven bit-for-bit identical to the
library over 2000 random ranges, and 460x faster per call — the fix
for the ~26% reconcile slice (dominant in the identical-set case).
Not yet wired: the library instantiates FingerprintCalculator
internally, so shipping prefix-sum needs a kmp-negentropy change (or a
quartz-side fast server). Full write-up + artifacts in
quartz/plans/2026-07-04-negentropy-reconcile-profiling.md.
Benchmarks are CI-safe (small defaults / opt-in gates); JFR via
-PnegProfile, scale via -DnegBenchN, geode server bench via
-DnegServerBench=1.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
Fail-loud on config that would silently degrade the running relay:
- readers = 0 makes every query hang forever on an empty reader pool;
readers < 0 crashes with an unrelated message. optimize_interval_seconds
<= 0 busy-loops PRAGMA optimize under the writer mutex. StaticConfig
.validate() (called at boot) rejects both.
- A typo in [[mirror]].filter (e.g. `kindss`) parsed to an empty
match-everything filter through the tolerant deserializer — silently
widening a trusted upstream's skip-verify scope to the whole firehose.
MirrorFilterValidator strict-checks the filter JSON at boot: unknown
keys and non-array list fields fail startup.
- The self-mirror guard now compares scheme-insensitively (ws:// vs
wss:// for the same host is still us) via displayUrl().
- The maintenance loop rethrows CancellationException and no longer
swallows Errors.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Two mirror hardening fixes from the audit:
- Trust leak: the skip-verify decision was keyed on the subscription id,
but the client pool dispatches EVENTs by subscription id alone and
every [[mirror]] upstream shares one client. A hostile untrusted
upstream could answer with the trusted upstream's subscription id and
ride its skip-verify into the store. startDown now drops any event
whose delivering relay isn't the one that subscription dialed
(relay != up.url). New MirrorWorkerTrustOriginTest injects a foreign
subId frame from a hostile relay and asserts it never lands.
- Reconnect replay: `since` was frozen at boot, so a long-lived daemon
re-streamed the whole backfill window on every upstream flap. The down
path now tracks the newest ingested created_at and, on the
connected->disconnected edge, advances the REQ's since to
watermark - overlap before the reconnect re-sends it. Advancing only on
disconnect means a stable link never re-queries. The reconnect test now
asserts the watermark advanced.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Audit follow-ups on the live NIP-77 index, all with the store/scan
equivalence test extended to cover them:
- Same-batch replaceable displacement left a dead id in the index.
applyAfterCommit applied all removes before all adds, so when a later
row in one transaction displaced an earlier row of the same batch (two
versions of one replaceable — the mirror-backfill hot path), the
displaced row's remove no-op'd against an index that hadn't taken its
add yet, then the add re-inserted it: the index advertised an id the
trigger had already deleted. recordAccepted now cancels the pending add
instead of queueing a remove (added is a LinkedHashSet for O(1)
cancel).
- A kind-5 that deleted nothing (a delete broadcast for events this relay
never stored — the common case) still invalidated the whole index,
forcing a full-scan rebuild under the writer mutex on the next
NEG-OPEN. DeletionRequestModule.insert now returns the rows it deleted;
recordAccepted only invalidates when that count is > 0, else records the
kind-5 as a plain row.
- The first NEG-OPEN over a corpus larger than the serve cap scanned the
whole table uncapped, built a full index that could never produce a
snapshot, and then maintained it forever for zero benefit.
liveNegentropySnapshot now caps the rebuild scan at maxEntries + 1 and
leaves the index unpopulated when the corpus is over-cap (the scan path
answers NEG-ERR, as before).
- delete/deleteExpired/clearDB invalidate() moved inside the writer mutex
so no NEG-OPEN can seal a snapshot of just-deleted rows, and no
concurrent rebuild can be discarded by a late invalidate.
Also corrects the ~40 B/event heap figure to ~140 B (IdAndTime keeps the
id as a 64-char hex string, not 32 bytes) in the strategy/plan docs.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Each [[mirror]] entry now takes strfry-router's dir:
- down (default): pull — subscribe to the upstream and ingest, exactly
as before.
- up: push — an in-process session on the LOCAL relay subscribes with
the same scoped filter (so backfill_seconds and filter behave
identically in both directions, and the relay's own policy chain
gates what leaves), and every matching event is handed to the
client's outbox for the upstream, which owns delivery and re-sends
across reconnects.
- both: pull and push, with echo suppression: a per-upstream LRU of
recently exchanged ids keeps an event pulled down from being pushed
straight back (and vice versa when the upstream fans our own publish
back). Eviction only costs a duplicate round trip — the stores'
unique-id constraints stay the correctness backstop.
trusted (verify skip) remains a down-only concept; the up direction
never verifies since the upstream does its own gatekeeping.
Tests: up pushes both the backfill window and the live tail; both
converges two stores with disjoint content and holds exact counts after
the echo settles (no ping-pong). Live-published test events are
genuinely signed — the local publish path verifies, which is also what
the debugging showed: the mechanism was fine, the first version of the
tests was pushing forged events into a verifying relay.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Backlog items 4-5 close. Both-variants-in-one-run A/B at 50k, repeated
with relay order reversed: every delta flipped with the order (the
second-running relay won queries and ingest latency in BOTH runs), so
readers=8 / mmap_size=256MiB / temp_store=MEMORY / periodic PRAGMA
optimize are all noise-level on container-class hardware. The config
plumbing stays (hardware-dependent, operators should measure their own
box); the example config now says so explicitly.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Backlog items 4-5 plumbing, config-gated and off by default so quartz
library defaults stay untouched for the app-side stores:
- quartz: SQLiteEventStore/EventStore accept extraPragmas (applied on
every pooled connection AFTER the built-in configuration, so they
can override it) and expose optimize() — an analysis_limit-bounded
PRAGMA optimize for incremental planner-stats refresh.
- geode: [database] readers / mmap_size / temp_store_memory map onto
the store; optimize_interval_seconds drives a maintenance coroutine
(cancelled first in the shutdown hook, before the store closes).
The A/B verdict on whether the example config should RECOMMEND any of
these on container-class hardware follows in the next commit — the
knobs themselves are operator tools worth having either way, since
mmap/temp-store value is hardware-dependent.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Found while attributing the small-REQ wire floor (backlog item 6,
latency half): geode's new WireReqFloorBenchmark measured a flat
43.7 ms per REQ round trip that survived every server-side change —
store configs, dispatchers, the pump — and then vanished when the
round's preceding CLOSE was dropped. Root cause is client-side: OkHttp
does not set TCP_NODELAY, relays never answer a CLOSE (NIP-01), so its
bytes sit unACKed for the peer's ~40 ms delayed-ACK window and Nagle
holds the next REQ behind them. CLOSE-then-REQ is a Nostr client's
hottest pattern — every feed/filter switch.
relayBench's harness client already shipped a no-delay socket factory
(which is why benchmark numbers never showed the stall) but the
production clients did not. New TcpNoDelaySocketFactory (quartz
jvmAndroid, next to BasicOkHttpWebSocket) is now used by the Android
relay pool factory, the Desktop relay client, amy's relay connections,
and geode's mirror worker. Direct connections only — SOCKS/Tor paths
are untouched.
With the factory, the benchmark puts geode's ~21-row REQ at ~1.25 ms
on the wire (matching relayBench): ~0.6 ms Ktor CIO+OkHttp loopback
floor, ~0.5 ms per-REQ server work (already investigated). Per-frame
burst cost measured negligible and the pump adds ~nothing, so the
send-path latency angle of backlog item 6 is closed as not-a-problem;
its ingest-CPU share remains a separate throughput question. Findings
recorded in quartz/plans/2026-07-04-small-req-floor.md.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Milestones 2-3 of quartz/plans/2026-07-03-incremental-negentropy-storage.md.
SQLiteEventStore now maintains the LiveNegentropyIndex when the strategy
opts in (geode's does by default; [negentropy].live_index = false turns
it off; app-side stores are untouched):
- Write paths collect a LiveIndexDelta and apply it after COMMIT while
still holding the writer mutex — rolled-back savepoint rows never
reach the index and updates land in exact commit order (also vs the
rebuild, which runs under the same mutex).
- Replaceable/addressable overwrites report the row their BEFORE-INSERT
trigger displaces via one indexed pre-SELECT that mirrors the trigger
predicate (including the NIP-01 lowest-id tie-break and the
d_tag-NULL case).
- Paths that can't itemize (kind-5, vanish, delete-by-filter/id,
expiration sweeps, clearDB) invalidate; the next NEG-OPEN rebuilds
from one scan on the writer connection.
- Until that first NEG-OPEN populates the index, ingest pays zero
bookkeeping — the populated check happens under the writer mutex so
it can't race the rebuild.
LiveEventStore serves a single unconstrained filter (the relay-relay
sync default; relayBench sends exactly this) from the index; everything
else keeps the scan+seal path and its single-slot cache.
Micro-benchmark at 50k events (LiveNegentropyBenchmark, in-container):
scan+seal cold path 80-100 ms; index post-write open 9-16 ms (~5-10x).
The relayBench A/B is the acceptance gate and comes next.
Correctness: LiveNegentropyIndexStoreTest asserts index content ==
snapshotIdsForNegentropy scan after every mutation pattern (overwrites,
losers, kind-5 rebuilds, filter deletes, mixed-outcome batches,
transactions); the full geode suite (NIP-77 + interop sync tests) runs
with the index on.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Measured over the real OkHttp transport (upstream killed mid-mirror and
restarted on the same port): NostrClient re-dials once on disconnect and
then falls back to its 60s keep-alive, which showed up as a 61s mirror
blackout when the immediate re-dial raced the port rebind.
- Retry pump: the worker nudges the pool every 5s. Cheap and safe —
reconnectIfNeedsTo skips connected relays and each relay's
exponential backoff (1s doubling, 5min cap) still gates real dial
attempts, so dead upstreams aren't hammered. Restart recovery drops
from 61s to ~6s in the new reconnect test.
- WebSocket pings (120s, same as the Android relay pool): without
them a half-open connection (network drop, no FIN) never fires
onDisconnected and the mirror would stall silently forever.
- MirrorWorkerReconnectTest: end-to-end over a real Ktor port — ride
through the drop, re-subscribe, drop the duplicate replay, pull the
event that only exists on the new instance.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Each [[mirror]] entry takes an optional NIP-01 filter as a JSON object
string, like strfry-router's per-stream filter. It is applied twice,
matching strfry's design (cmd_router.cpp):
- it shapes the REQ sent upstream (the mirror still owns since via
backfill_seconds and strips limit — the subscription is unbounded);
- every delivered event is re-checked against it before ingest, so an
upstream answering outside its REQ — including a trusted one whose
events skip signature verification — can only inject events inside
the operator-declared scope. Out-of-scope deliveries surface on a
'filtered' counter.
Malformed filter JSON fails the boot, not the first delivery. Several
disjoint scopes for one upstream = repeat [[mirror]] with the same url.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
Backlog item 1 of the relay performance campaign: skip signature
verification for events ingested from explicitly configured trusted
upstream relays, strfry-router style.
geode now dials each [[mirror]] url from the config, subscribes to
everything newer than now - backfill_seconds, and feeds the stream
through NostrServer.ingest (same group-commit writer + live fanout as
client publishes). The NostrClient underneath owns reconnects, backoff
and REQ re-sync; duplicate replays after a reconnect are rejected by
the store's unique-id constraint and only surface as counters.
trusted = true is the per-upstream trust switch: events from that
connection skip Schnorr verify. The trusted identity is the URL this
relay dialed (TLS-authenticated for wss://), never anything an inbound
peer claims. Default is false — mirror-but-verify — and a relay with no
[[mirror]] entries behaves exactly as before.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
FTS indexing ran inside every insert's transaction — a measurable slice
of write cost (relayBench: ~18% of ingest throughput) paid at publish
time for a feature only search queries read. It now runs as a watermark
catch-up:
- IndexingStrategy.deferFullTextSearchIndexing (default false; geode's
relay strategy enables it with search). Deferred inserts skip
tokenization entirely.
- FullTextSearchModule keeps a fts_catchup_state watermark (everything
<= last_row_id is indexed) and gains catchUpBatch(): scan past the
watermark, tokenize, advance — one write transaction per batch, so
publishes interleave. DATABASE_VERSION 3->4 seeds the watermark at
MAX(row_id) for existing (synchronously indexed) databases.
- NostrServer runs the catch-up worker, poked by IngestQueue's new
onBatchCommitted hook, and *yields to publish traffic*: it only
drains while the queue has no backlog (IngestQueue.hasBacklog()), so
bursts ingest at no-FTS speed and tokenization fills the gaps.
- LiveEventStore drains the backlog synchronously before serving any
filter with a search term (query, queryRaw, count) — NIP-50 results
stay exactly as fresh as the synchronous path; the deferral is
invisible to correctness. Geode's existing search tests pass
unchanged through this path.
The first implementation reused reindexBatch and collapsed ingest 8x —
its per-row 'DELETE FROM event_fts WHERE event_header_row_id = ?'
matches on a plain FTS5 column, i.e. a full FTS-table scan per row
(O(n²) overall), and the worker competed with the replay for the writer
mutex. catchUpBatch therefore inserts without the delete (rows past the
watermark are never indexed; switching a DB between deferred and
synchronous strategies requires reindexAll, same rule as a
searchable-kinds change), and the worker backs off whenever publishes
are pending.
Alternating A/B, 50k corpus, search-enabled default: 4,902/5,090/5,136
events/s synchronous vs 5,425/5,611 deferred (+8-12%), approaching the
--no-search ceiling while keeping NIP-50 advertised and fresh.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NeoCvXnTxsKzqurkmjdC46
A NIP-77 server session rebuilt its reconciliation structure from
scratch on every NEG-OPEN: full id+created_at scan, per-entry hex
decode into a fresh StorageVector, O(n log n) seal. That cost grows
with the corpus and is paid even when nothing changed — the exact
shape of a periodic mirror's heartbeat, where N peers reconcile the
same broad filter over and over. relayBench measured 342 ms per
identical-set reconcile at 50k events vs strfry's 26 ms off its
always-current LMDB tree.
Reconciliation only *reads* the sealed storage, so one instance can
back any number of concurrent sessions:
- NegentropyServerSession now accepts a pre-sealed IStorage (the
List<IdAndTime> constructor remains and delegates).
- SessionBackend.sealedNegentropyStorage() builds + seals (null when
the set exceeds maxSyncEvents); LiveEventStore overrides it with a
single-slot cache keyed by (filter set, write generation) plus a 30s
TTL. The generation bumps on every accepted ingest; the TTL bounds
staleness from delete paths the counter can't see (expiration
sweeps, admin purges) — negentropy snapshots are point-in-time sets,
so seconds of staleness only means a peer briefly re-offers ids.
- NegSessionRegistry.open consumes the shared sealed storage;
over-cap NEG-ERR behavior unchanged (strfry parity).
relayBench gains a 'heartbeat' measurement — the identical-set
reconcile repeated immediately with no writes in between. At 50k
events: geode 342 ms -> 27.8 ms vs strfry 21.1 ms (near parity; was
13x). Cold reconciles (first open after a write) are unchanged.
Also fixes the GeodeVsStrfryNegentropySyncTest fixture to write
'nofiles = 0' so the opt-in interop test can boot strfry inside
containers with a low RLIMIT_NOFILE hard cap; the interop suite passes
against strfry v1-b80cda3 with the cache in place.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NeoCvXnTxsKzqurkmjdC46
Reviewed strfry's LMDB indices (golpe.yaml) against geode's SQLite set:
the two are nearly isomorphic — time, id, kind+time, author+kind+time,
tag+time, plus conditional deletion/expiration/replaceable entries
(geode's are partial indexes, so ordinary events don't pay for them).
Nothing to drop. One real hole: strfry maintains a plain
pubkey(+created_at) index and geode had none, so an authors-only filter
(no kinds) — archive pulls, account-migration tools, 'everything by
these pubkeys' — degraded to a full walk of the time index. EXPLAIN
confirmed: SCAN query_by_created_at_id.
- quartz: IndexingStrategy.indexEventsByPubkeyAlone (default false —
clients query their supported kinds and can skip it) gates a new
query_by_pubkey_created index; DATABASE_VERSION 2→3 with an
idempotent migration that backfills it for opted-in strategies.
- geode: relayIndexingStrategy turns it on.
- relayBench: new 'author-archive' scenario — every kind by 3 *quiet*
pubkeys. Quiet is the point: prolific authors are dense in the time
index and a scan finds them quickly, which is why the suite never
caught this; sparse authors force the full walk.
Measured (50k corpus): author-archive EOSE p50 42.8 ms -> 3.6 ms (12x,
and the old path grows linearly with table size); ingest 5,337 -> 5,156
events/s (~3%, the one extra B-tree per event). strfry reference on the
same scenario: 0.52 ms.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NeoCvXnTxsKzqurkmjdC46
strfry implements no NIP-50 at all, so geode's default setup pays FTS
tokenization on every searchable event for a feature the other side of a
benchmark isn't providing. The new switch removes it cleanly:
- geode: --no-search CLI flag and [options].full_text_search TOML key
(default true). When off, the store skips the FTS index entirely,
NIP-11 stops advertising 50 (an explicit [info] nips list stays
operator-authoritative), and search filters match nothing via the
existing QueryBuilder guard. RelayIndexingStrategy becomes
relayIndexingStrategy(fullTextSearch) with the stock val kept.
- relayBench: --geode-no-search runs the geode entry with the flag (relay
named geode-nosearch in reports); README documents the apples-to-apples
rationale and a recipe for benchmarking both geode flavors side by side.
Alternating A/B on the 10k corpus: 4,767/4,792 ev/s without search vs
4,111/3,977 with — NIP-50 costs ~18% of ingest throughput at current
write-path speed.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NeoCvXnTxsKzqurkmjdC46
Vitor Pamplona
Claude
davotoula