perf(quartz): index-driven fanout for LiveEventStore via FilterIndex<S>
Replace the SharedFlow-based broadcast in LiveEventStore with an inverted index over filter-bearing subscribers. Each REQ registers its filters into a per-store FilterIndex<LiveSubscription>; insert() calls index.candidatesFor(event) and only delivers to candidates whose Filter.match still passes. Cuts the per-event walk from O(N_subs * N_filters) to a few hash lookups plus match() over a small candidate set. FilterIndex itself lives next to Filter.kt (commonMain, KMP-friendly, AtomicReference + COW) so other call sites with the same shape (LocalCache.observables, ObservableEventStore.changes) can reuse it. Each filter contributes entries on its single most-selective dimension (ids > authors > tags > tagsAll > kinds > unindexed) to keep buckets narrow and avoid Set-dedupe work in candidatesFor. The historical-replay race the previous SharedFlow + onSubscription handoff closed is preserved by registering BEFORE replay starts and deduping seen ids until EOSE.
This commit is contained in:
@@ -1,9 +1,14 @@
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# Live broadcast: indexed filter matching for fanout
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# Live broadcast: indexed filter matching for fanout
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> **Status (2026-05-07):** Phase 1 (relay server) and Phase 2 (Amethyst client
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> `LocalCache.observables`) are implemented. Phase 3 (per-projection dispatch
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> from `ObservableEventStore.changes`) is left as future work — see "What's
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> next" below.
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## Problem
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## Problem
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Every accepted EVENT runs through `LiveEventStore.newEventStream`
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Every accepted EVENT runs through `LiveEventStore.newEventStream`
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(`quartz/nip01Core/relay/server/LiveEventStore.kt:43`) — a
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(`quartz/nip01Core/relay/server/LiveEventStore.kt`) — a
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`MutableSharedFlow<Event>` that every active subscription collects.
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`MutableSharedFlow<Event>` that every active subscription collects.
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Each subscriber's collector then calls:
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Each subscriber's collector then calls:
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@@ -17,62 +22,104 @@ calls per EVENT — and each `Filter.match` itself walks `kinds`,
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`authors`, tag prefixes, since/until, etc. At 2k EPS ingest that's
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`authors`, tag prefixes, since/until, etc. At 2k EPS ingest that's
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~30M comparisons/sec.
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~30M comparisons/sec.
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Two specific cost shapes:
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The same shape recurs in two more places:
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1. **Filters that almost never match.** Most subscriptions are scoped
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1. **`LocalCache.observables`** in `amethyst/.../LocalCache.kt` —
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to a small author list. Today every published EVENT walks every
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a `ConcurrentHashMap<Observable, Observable>` of feed observers.
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such subscription to learn that. A `HashMap<HexKey, MutableList<Sub>>`
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`refreshNewNoteObservers` iterates every observer for every
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keyed by author would cut this to O(1) average for the dominant case.
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accepted event; each observer's `new()` runs `filter.match`.
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2. **Pseudo-broadcast filters** (`{kinds: [1]}` with no other
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2. **`EventStoreProjection`** under `quartz/.../cache/projection/` —
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constraint) match almost everything. There's no avoiding the
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each projection collects every `StoreChange.Insert` from
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per-subscriber notification, but at least the index lookup is
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`ObservableEventStore.changes` and runs its own filter list.
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cheap.
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`LoadBenchmark.fanoutLatency` already measures this — current
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All three follow the pattern "many filter-bearing observers, one
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results are not yet noted in tree, but back-of-envelope says fanout
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incoming event — find which observers match". Today that's a per-event
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becomes the dominant cost above ~2k subscribers.
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walk over N observers; with an inverted index it becomes a few hash
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lookups followed by `Filter.match` only on the (small) candidate set.
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## Sketch
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## Solution
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A new `LiveBroadcastIndex` inside `LiveEventStore`:
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### `FilterIndex<S>`
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`quartz/src/commonMain/kotlin/com/vitorpamplona/quartz/nip01Core/relay/filters/FilterIndex.kt`
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is a generic, KMP-friendly inverted index parameterised by the
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subscriber type. It lives next to `Filter.kt`, not under `relay/server/`,
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because it isn't relay-specific.
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API:
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```kotlin
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```kotlin
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private val byAuthor = ConcurrentHashMap<HexKey, MutableSet<Subscription>>()
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class FilterIndex<S : Any> {
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private val byKind = ConcurrentHashMap<Int, MutableSet<Subscription>>()
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fun register(filter: Filter, subscriber: S)
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private val byTag = ConcurrentHashMap<TagKey, MutableSet<Subscription>>()
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fun register(filters: List<Filter>, subscriber: S)
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private val unindexed = CopyOnWriteArraySet<Subscription>() // subs with no
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fun registerUnindexed(subscriber: S) // predicate-only callers
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// narrowing field
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fun unregister(subscriber: S)
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fun candidatesFor(event: Event): Set<S> // index lookup
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fun forEach(action: (S) -> Unit) // full iteration (delete paths)
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fun size(): Int
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fun isEmpty(): Boolean
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}
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```
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```
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Each `RelaySession.handleReq` registers its `Subscription` (a tuple of
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State is held in a single `AtomicReference<State<S>>` (BanStore-style)
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filters + the existing `EventMessage` send callback) into whichever
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so reads in the hot path are wait-free. Writes copy-on-write; that's
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buckets each filter narrows on. A filter with `kinds=[1] and
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fine because writes are subscription-rate (rare) while reads are
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authors=[a,b]` registers into `byKind[1]` AND `byAuthor[a]`,
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event-rate (frequent).
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`byAuthor[b]` — broadcast unions the resulting candidate sets.
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On EVENT arrival:
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Indexing strategy: each filter contributes entries to **one**
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dimension — the most selective indexable field. Picking one dimension
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instead of all of them avoids over-counting subscribers in
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`candidatesFor` and minimises bucket churn:
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1. Build the candidate set: union of `byAuthor[event.pubkey]`,
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1. `ids` (most selective; an id matches one event).
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`byKind[event.kind]`, every `byTag[(letter, value)]` for the
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2. `authors`.
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event's single-letter tags, plus `unindexed`.
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3. The first single-letter tag in `tags` (then `tagsAll`).
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2. Run the existing `Filter.match` on each candidate to handle
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4. `kinds`.
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negative constraints (`since`, `until`, `limit` already-reached,
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5. None of the above → registered into the unindexed pool.
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composite predicates).
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3. Send.
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Expected: **>10× speedup** on fanout for realistic subscriptions.
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Multi-filter registrations OR the per-filter selections together,
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Worst case (all filters in `unindexed`) degrades to current behaviour.
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which mirrors `filters.any { it.match(...) }`. Negative constraints
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(`since` / `until` / `tagsAll` / saturated `limit`) stay in
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`Filter.match` — the index produces a super-set, callers post-filter.
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## Where it lives
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### Phase 1: `LiveEventStore`
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`quartz/nip01Core/relay/server/LiveBroadcastIndex.kt` — protocol-level,
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`LiveEventStore.kt` no longer uses a `MutableSharedFlow`. Instead:
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reusable by any relay embed. `RelaySession.handleReq` registers/
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unregisters; `LiveEventStore.insert` calls
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`index.candidatesFor(event)`.
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## How to verify
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- One `FilterIndex<LiveSubscription>` shared across all REQs.
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- `insert()` calls `index.candidatesFor(event)` then runs
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`Filter.match` on each candidate. Synchronous delivery —
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callers (the relay's `RelaySession`) keep the `deliver` callback
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cheap (queue-to-outbound).
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- `query()` registers the subscription into the index *before* the
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historical replay starts (closes the same race the previous
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`onSubscription` handoff closed), runs the replay, signals EOSE,
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then `awaitCancellation()`. Live events arrive via index dispatch
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during the suspend; `finally { index.unregister(sub) }` cleans up.
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- Dedupe set during the historical phase is held in an
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`AtomicReference<HashSet<String>?>` so the live-dispatch coroutine
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sees the post-EOSE handoff promptly.
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Add `geode.perf.LoadBenchmark.fanoutScaling`:
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### Phase 2: `LocalCache.observables`
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`amethyst/.../LocalCache.kt` swapped its
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`ConcurrentHashMap<Observable, Observable>` for a
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`FilterIndex<Observable>`. `observeNotes` / `observeEvents` /
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`observeNewEvents(filter: Filter)` now `register(filter, observer)`;
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the predicate-only `observeNewEvents(predicate)` overload uses
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`registerUnindexed` because the index can't introspect an opaque
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predicate. Dispatch:
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- `refreshNewNoteObservers` iterates `observables.candidatesFor(event)`
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instead of every observer.
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- `refreshDeletedNoteObservers` still uses `observables.forEach { ... }`
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— the index doesn't help on the delete path because every observer
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might hold the deleted note in its result set, and there's no
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event-shape to consult.
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### How to verify
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`geode.perf.LoadBenchmark.fanoutScaling` (to be added):
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- N connections, each subscribes to `{authors: [pk_i], kinds: [1]}`.
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- N connections, each subscribes to `{authors: [pk_i], kinds: [1]}`.
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- Publish 10k EVENTs from a producer connection; each event matches
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- Publish 10k EVENTs from a producer connection; each event matches
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@@ -82,19 +129,47 @@ Add `geode.perf.LoadBenchmark.fanoutScaling`:
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Without the index, p99 grows roughly linearly with N. With the
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Without the index, p99 grows roughly linearly with N. With the
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index, p99 should be flat up to a much higher N.
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index, p99 should be flat up to a much higher N.
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For the LocalCache side, a similar benchmark would publish events
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matching one of M observers and measure dispatch cost as M grows.
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## Risks
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## Risks
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- **Subscription churn**: re-subscribing on every page (the way some
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- **Subscription churn**: re-subscribing on every page (the way some
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client features work) means many index insert/remove operations.
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client features work) means many index insert/remove operations.
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`ConcurrentHashMap` value-set operations need to be lock-free or
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COW on a single `AtomicReference` makes each write a full inner-map
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finely locked; benchmark this path explicitly.
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copy; benchmark this path on a busy account to confirm the constants
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stay reasonable.
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- **Tag explosion**: an EVENT with many `e`/`p` tags hits many tag
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- **Tag explosion**: an EVENT with many `e`/`p` tags hits many tag
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buckets. Cap candidate-set union work or short-circuit when the
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buckets. The single-dimension-per-filter selection caps how many
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union saturates.
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buckets contribute candidates per event — registering on the
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*most* selective dimension means tag-keyed filters typically pick
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one specific tag value, so an event's tag walk only finds filters
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registered under that exact `(letter, value)`.
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- **Memory**: the index is a per-bucket set of subscription handles.
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- **Memory**: the index is a per-bucket set of subscription handles.
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At 5k subs × average 3 narrowing fields, ~15k entries — negligible.
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At 5k subs × average 1 dimension × a handful of values per filter,
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- **Correctness fence**: the index must see new subscriptions before
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~10k–20k entries — negligible.
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the next EVENT broadcast. Today `RelaySession.handleReq` writes its
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- **Correctness fence**: `register` happens before historical replay
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`Job` into a `LargeCache` then launches the collector. Order of
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on the relay side, and inside the `callbackFlow`'s `register` /
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operations needs to be revisited so the index is updated atomically
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`awaitClose { unregister }` pair on the client side. Events
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with the collector being ready.
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arriving mid-historical are deduped via `seenIds` (relay) or are a
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non-issue because the client `observe*` flow seeds via `init()`
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before any new event can fire.
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- **Filters with no narrowing field** (e.g. `{since: X}`) fall into
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the unindexed pool and behave like today — every event reaches
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them. That's the worst case; it's not worse than the pre-index
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baseline.
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- **AddressableEvent / replaceable v2 path**: an observer holding v1
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whose filter doesn't match v2 won't be in `candidatesFor(v2)`.
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Today such an observer wouldn't update its membership either
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(`filter.match(v2) == false` short-circuits before the
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re-emit branch). Pre-existing behaviour preserved.
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## What's next (Phase 3)
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`ObservableEventStore.changes` is still a `SharedFlow<StoreChange>`
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that every projection collects. To use the index there, the dispatcher
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between `_changes.emit` and the per-projection collectors would consult
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a `FilterIndex<EventStoreProjection<*>>`-style index and only deliver
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to interested projections. Doable, but the SharedFlow contract is
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public; replacing it is a larger refactor than Phase 1/2 and the ROI
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is lower (per-projection apply is already small). Treat as a follow-up.
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+285
@@ -0,0 +1,285 @@
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/*
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* Copyright (c) 2025 Vitor Pamplona
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy of
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* this software and associated documentation files (the "Software"), to deal in
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* the Software without restriction, including without limitation the rights to use,
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* copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
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* Software, and to permit persons to whom the Software is furnished to do so,
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* subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN
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* AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*/
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package com.vitorpamplona.quartz.nip01Core.relay.filters
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import com.vitorpamplona.quartz.nip01Core.core.Event
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import com.vitorpamplona.quartz.nip01Core.core.HexKey
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import kotlin.concurrent.atomics.AtomicReference
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import kotlin.concurrent.atomics.ExperimentalAtomicApi
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/**
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* Inverted index over a population of [Filter]-bearing subscribers.
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* Given an [Event], returns the (much smaller) set of subscribers
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* whose filters could match — callers still run [Filter.match] on
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* each candidate to enforce negative constraints (`since` / `until`
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* / `tagsAll` / etc.) but skip the per-event walk over subscribers
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* that share no narrowing field with the event.
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*
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* Used by the relay server's `LiveEventStore` for fanout from one
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* inserted event to many `REQ` subscriptions, and by the client-side
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* `LocalCache.observables` registry for the same shape inside the
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* app (one accepted event, many feed observers).
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*
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* ## Indexing strategy
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*
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* Each registered filter contributes entries to **one** dimension —
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* the most selective indexable field. Picking one dimension instead
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* of all of them avoids over-counting subscribers in [candidatesFor]
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* (no `Set` dedup work) and minimises bucket churn on register /
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* unregister:
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*
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* 1. `ids` (most selective; an id matches one event).
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* 2. `authors`.
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* 3. The first single-letter tag in `tags` (then `tagsAll`).
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* 4. `kinds`.
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* 5. None of the above → registered into [unindexedKey].
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*
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* Multi-filter registrations OR the per-filter selections together
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* (a subscriber matches if *any* of its filters matches the event,
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* which mirrors `filters.any { it.match(...) }`).
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*
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* ## Concurrency
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*
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* State is held in a single [AtomicReference] and mutated via
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* copy-on-write CAS loops, mirroring the
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* `nip86RelayManagement.server.BanStore` pattern. Reads in
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* [candidatesFor] and [forEach] are wait-free single-load atomic.
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* Writes (subscription register / unregister) copy the inner maps
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* — fine for this workload because writes are subscription-rate
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* (rare) while reads are event-rate (frequent).
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*
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* ## What the index does NOT cover
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*
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* - Negative filter constraints (`since`, `until`, `tagsAll`,
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* `limit`-already-saturated). The candidate set is a
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* super-set; callers must still run [Filter.match] on each
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* candidate.
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* - Subscribers driven by an arbitrary `(Event) -> Boolean`
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* predicate without an underlying [Filter]. Use
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* [registerUnindexed] for those — they're returned for every
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* event.
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* - Membership-driven re-evaluation paths (e.g. an addressable
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* `v2` that no longer matches a filter but the observer
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* already holds `v1`). Those callers must consult their own
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* membership state in addition to [candidatesFor].
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*/
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@OptIn(ExperimentalAtomicApi::class)
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class FilterIndex<S : Any> {
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/**
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* Bucket key. Five concrete shapes plus a sentinel for filters
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* with no indexable narrowing field.
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*/
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private sealed interface BucketKey
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private data class IdKey(
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val id: HexKey,
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) : BucketKey
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private data class AuthorKey(
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val author: HexKey,
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) : BucketKey
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private data class TagKey(
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val letter: String,
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val value: String,
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) : BucketKey
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private data class KindKey(
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val kind: Int,
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) : BucketKey
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private object Unindexed : BucketKey
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/**
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* Single immutable snapshot. [buckets] maps a key to the set of
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* subscribers registered under it; [assignments] is the reverse
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* map used by [unregister] to find a subscriber's keys without
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* scanning every bucket.
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*/
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private data class State<S>(
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val buckets: Map<BucketKey, Set<S>> = emptyMap(),
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val assignments: Map<S, Set<BucketKey>> = emptyMap(),
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)
|
||||||
|
|
||||||
|
private val state: AtomicReference<State<S>> = AtomicReference(State())
|
||||||
|
|
||||||
|
/** Number of distinct subscribers currently registered. */
|
||||||
|
fun size(): Int = state.load().assignments.size
|
||||||
|
|
||||||
|
fun isEmpty(): Boolean = state.load().assignments.isEmpty()
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Register [subscriber] under the bucket(s) selected for [filter].
|
||||||
|
* If [filter] has no indexable field the subscriber is added to
|
||||||
|
* the unindexed pool and is returned for every event.
|
||||||
|
*/
|
||||||
|
fun register(
|
||||||
|
filter: Filter,
|
||||||
|
subscriber: S,
|
||||||
|
) {
|
||||||
|
val keys = selectKeys(filter).ifEmpty { listOf(Unindexed) }
|
||||||
|
addAssignments(subscriber, keys)
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Register [subscriber] for a list of filters (OR semantics).
|
||||||
|
* Each filter's most-selective dimension contributes its keys;
|
||||||
|
* any filter with no indexable field adds the subscriber to the
|
||||||
|
* unindexed pool, which dominates dispatch (the subscriber
|
||||||
|
* matches every event).
|
||||||
|
*/
|
||||||
|
fun register(
|
||||||
|
filters: List<Filter>,
|
||||||
|
subscriber: S,
|
||||||
|
) {
|
||||||
|
if (filters.isEmpty()) {
|
||||||
|
addAssignments(subscriber, listOf(Unindexed))
|
||||||
|
return
|
||||||
|
}
|
||||||
|
val keys = mutableListOf<BucketKey>()
|
||||||
|
for (f in filters) {
|
||||||
|
val perFilter = selectKeys(f)
|
||||||
|
if (perFilter.isEmpty()) {
|
||||||
|
keys.add(Unindexed)
|
||||||
|
} else {
|
||||||
|
keys.addAll(perFilter)
|
||||||
|
}
|
||||||
|
}
|
||||||
|
addAssignments(subscriber, keys)
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Register [subscriber] in the unindexed pool. Use this for
|
||||||
|
* subscribers driven by an opaque predicate where the index
|
||||||
|
* can't infer a narrowing field.
|
||||||
|
*/
|
||||||
|
fun registerUnindexed(subscriber: S) = addAssignments(subscriber, listOf(Unindexed))
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Remove [subscriber] from every bucket it was registered in.
|
||||||
|
* No-op if the subscriber isn't currently registered.
|
||||||
|
*/
|
||||||
|
fun unregister(subscriber: S) {
|
||||||
|
while (true) {
|
||||||
|
val current = state.load()
|
||||||
|
val keys = current.assignments[subscriber] ?: return
|
||||||
|
val newBuckets = current.buckets.toMutableMap()
|
||||||
|
for (key in keys) {
|
||||||
|
val cur = newBuckets[key] ?: continue
|
||||||
|
val next = cur - subscriber
|
||||||
|
if (next.isEmpty()) {
|
||||||
|
newBuckets.remove(key)
|
||||||
|
} else {
|
||||||
|
newBuckets[key] = next
|
||||||
|
}
|
||||||
|
}
|
||||||
|
val newAssignments = current.assignments - subscriber
|
||||||
|
if (state.compareAndSet(current, State(newBuckets, newAssignments))) return
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Subscribers whose filters might match [event]. The result is a
|
||||||
|
* super-set: callers must still run `filter.match(event)` on each
|
||||||
|
* candidate to handle negative constraints.
|
||||||
|
*
|
||||||
|
* Iteration order is insertion-stable per call but otherwise
|
||||||
|
* unspecified.
|
||||||
|
*/
|
||||||
|
fun candidatesFor(event: Event): Set<S> {
|
||||||
|
val s = state.load()
|
||||||
|
if (s.buckets.isEmpty()) return emptySet()
|
||||||
|
val result = LinkedHashSet<S>()
|
||||||
|
s.buckets[Unindexed]?.let { result.addAll(it) }
|
||||||
|
s.buckets[IdKey(event.id)]?.let { result.addAll(it) }
|
||||||
|
s.buckets[AuthorKey(event.pubKey)]?.let { result.addAll(it) }
|
||||||
|
s.buckets[KindKey(event.kind)]?.let { result.addAll(it) }
|
||||||
|
for (tag in event.tags) {
|
||||||
|
if (tag.size >= 2 && tag[0].length == 1) {
|
||||||
|
s.buckets[TagKey(tag[0], tag[1])]?.let { result.addAll(it) }
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return result
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Visit every registered subscriber. Used by callers that need
|
||||||
|
* to broadcast something the index can't help with (e.g.
|
||||||
|
* `LocalCache.refreshDeletedNoteObservers` — the deletion path
|
||||||
|
* has no event-shape to consult, every observer must see it).
|
||||||
|
*/
|
||||||
|
fun forEach(action: (S) -> Unit) {
|
||||||
|
for (sub in state.load().assignments.keys) action(sub)
|
||||||
|
}
|
||||||
|
|
||||||
|
private fun addAssignments(
|
||||||
|
subscriber: S,
|
||||||
|
keys: List<BucketKey>,
|
||||||
|
) {
|
||||||
|
if (keys.isEmpty()) return
|
||||||
|
val keySet = keys.toSet()
|
||||||
|
while (true) {
|
||||||
|
val current = state.load()
|
||||||
|
val newBuckets = current.buckets.toMutableMap()
|
||||||
|
for (key in keySet) {
|
||||||
|
val cur = newBuckets[key] ?: emptySet()
|
||||||
|
if (subscriber in cur) continue
|
||||||
|
newBuckets[key] = cur + subscriber
|
||||||
|
}
|
||||||
|
val existing = current.assignments[subscriber]
|
||||||
|
val merged = if (existing == null) keySet else existing + keySet
|
||||||
|
val newAssignments = current.assignments + (subscriber to merged)
|
||||||
|
if (state.compareAndSet(current, State(newBuckets, newAssignments))) return
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Pick the most-selective indexable dimension for [filter] and
|
||||||
|
* expand it into one [BucketKey] per value. Returns an empty
|
||||||
|
* list if no field is indexable — caller maps that to [Unindexed].
|
||||||
|
*/
|
||||||
|
private fun selectKeys(filter: Filter): List<BucketKey> {
|
||||||
|
if (!filter.ids.isNullOrEmpty()) {
|
||||||
|
return filter.ids.map { IdKey(it) }
|
||||||
|
}
|
||||||
|
if (!filter.authors.isNullOrEmpty()) {
|
||||||
|
return filter.authors.map { AuthorKey(it) }
|
||||||
|
}
|
||||||
|
if (!filter.tags.isNullOrEmpty()) {
|
||||||
|
val first =
|
||||||
|
filter.tags.entries.firstOrNull {
|
||||||
|
it.key.length == 1 && it.value.isNotEmpty()
|
||||||
|
}
|
||||||
|
if (first != null) return first.value.map { TagKey(first.key, it) }
|
||||||
|
}
|
||||||
|
if (!filter.tagsAll.isNullOrEmpty()) {
|
||||||
|
val first =
|
||||||
|
filter.tagsAll.entries.firstOrNull {
|
||||||
|
it.key.length == 1 && it.value.isNotEmpty()
|
||||||
|
}
|
||||||
|
if (first != null) return first.value.map { TagKey(first.key, it) }
|
||||||
|
}
|
||||||
|
if (!filter.kinds.isNullOrEmpty()) {
|
||||||
|
return filter.kinds.map { KindKey(it) }
|
||||||
|
}
|
||||||
|
return emptyList()
|
||||||
|
}
|
||||||
|
}
|
||||||
+70
-40
@@ -22,10 +22,11 @@ package com.vitorpamplona.quartz.nip01Core.relay.server
|
|||||||
|
|
||||||
import com.vitorpamplona.quartz.nip01Core.core.Event
|
import com.vitorpamplona.quartz.nip01Core.core.Event
|
||||||
import com.vitorpamplona.quartz.nip01Core.relay.filters.Filter
|
import com.vitorpamplona.quartz.nip01Core.relay.filters.Filter
|
||||||
|
import com.vitorpamplona.quartz.nip01Core.relay.filters.FilterIndex
|
||||||
import com.vitorpamplona.quartz.nip01Core.store.IEventStore
|
import com.vitorpamplona.quartz.nip01Core.store.IEventStore
|
||||||
import kotlinx.coroutines.channels.BufferOverflow
|
import kotlinx.coroutines.awaitCancellation
|
||||||
import kotlinx.coroutines.flow.MutableSharedFlow
|
import kotlin.concurrent.atomics.AtomicReference
|
||||||
import kotlinx.coroutines.flow.onSubscription
|
import kotlin.concurrent.atomics.ExperimentalAtomicApi
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* A reactive event store that combines historical data retrieval with live event streaming.
|
* A reactive event store that combines historical data retrieval with live event streaming.
|
||||||
@@ -35,21 +36,41 @@ import kotlinx.coroutines.flow.onSubscription
|
|||||||
* End of Stored Events (EOSE), and then continues to stream matching new events as they
|
* End of Stored Events (EOSE), and then continues to stream matching new events as they
|
||||||
* are inserted.
|
* are inserted.
|
||||||
*
|
*
|
||||||
|
* Live fanout from `insert` to interested subscribers is index-driven via [FilterIndex]:
|
||||||
|
* each [query] registers its filters; [insert] looks up the candidate set and only delivers
|
||||||
|
* to those whose filters actually match. This avoids the quadratic
|
||||||
|
* O(N_subscribers × N_filters_per_sub) per-event walk that a naïve broadcast would do.
|
||||||
|
*
|
||||||
* @property store The underlying persistent storage for events.
|
* @property store The underlying persistent storage for events.
|
||||||
*/
|
*/
|
||||||
|
@OptIn(ExperimentalAtomicApi::class)
|
||||||
class LiveEventStore(
|
class LiveEventStore(
|
||||||
private val store: IEventStore,
|
private val store: IEventStore,
|
||||||
) {
|
) {
|
||||||
private val newEventStream =
|
private val index = FilterIndex<LiveSubscription>()
|
||||||
MutableSharedFlow<Event>(
|
|
||||||
replay = 0,
|
/**
|
||||||
extraBufferCapacity = 100, // Optional: adjust for backpressure
|
* One live REQ subscription. Carries the filters (for the
|
||||||
onBufferOverflow = BufferOverflow.DROP_LATEST, // Default behavior
|
* post-index `match` re-check needed for negative constraints
|
||||||
|
* like `since` / `until` / `tagsAll`) and the delivery callback
|
||||||
|
* the index dispatches into. Identity-keyed inside [FilterIndex].
|
||||||
|
*/
|
||||||
|
private class LiveSubscription(
|
||||||
|
val filters: List<Filter>,
|
||||||
|
val deliver: (Event) -> Unit,
|
||||||
)
|
)
|
||||||
|
|
||||||
suspend fun insert(event: Event) {
|
suspend fun insert(event: Event) {
|
||||||
store.insert(event)
|
store.insert(event)
|
||||||
newEventStream.tryEmit(event)
|
// Live fanout. The index returns a super-set; `match` enforces
|
||||||
|
// negative constraints. Synchronous delivery — callers are
|
||||||
|
// expected to keep `deliver` cheap (typically a `tryEmit` to
|
||||||
|
// a per-connection outbound queue).
|
||||||
|
for (sub in index.candidatesFor(event)) {
|
||||||
|
if (sub.filters.any { it.match(event) }) {
|
||||||
|
sub.deliver(event)
|
||||||
|
}
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
suspend fun query(
|
suspend fun query(
|
||||||
@@ -57,41 +78,50 @@ class LiveEventStore(
|
|||||||
onEach: (Event) -> Unit,
|
onEach: (Event) -> Unit,
|
||||||
onEose: () -> Unit,
|
onEose: () -> Unit,
|
||||||
) {
|
) {
|
||||||
// Order matters: register the live collector BEFORE replaying
|
// During the historical replay, mark ids the store has
|
||||||
// stored events and signalling EOSE. Otherwise an event emitted
|
// emitted so the live path can dedupe. The index registers
|
||||||
// between EOSE and `collect` is lost because [newEventStream] has
|
// *before* the replay starts (otherwise an event accepted
|
||||||
// replay=0. The race is only occasionally visible for kinds the
|
// mid-replay would slip past the live path entirely — same
|
||||||
// store persists (insert latency masks it) but fires reliably for
|
// race the previous SharedFlow-based implementation closed
|
||||||
// ephemeral kinds (20000-29999) where insert is a no-op — and
|
// with `onSubscription`). Anything the store and the live
|
||||||
// ephemeral events MUST still reach matching live subscribers per
|
// path both observe gets dropped here on the live side.
|
||||||
// NIP-01.
|
|
||||||
//
|
//
|
||||||
// Side effect of registering the collector first: an event
|
// Held in an AtomicReference because the live-dispatch
|
||||||
// inserted *during* `store.query` will be both replayed by the
|
// coroutine (which calls `deliver` from `insert`) needs to
|
||||||
// store AND emitted to the live stream. We dedupe by tracking
|
// see the post-EOSE handoff promptly. Once cleared to null,
|
||||||
// ids seen during the historical replay and skipping them on
|
// the dedupe check short-circuits and every live event is
|
||||||
// the live path. The set is dropped after EOSE so live-only
|
// forwarded. The set itself is mutated only from the
|
||||||
// events don't accumulate memory.
|
// historical-replay closure below, which runs on the same
|
||||||
var inHistoricalPhase = true
|
// coroutine that owns `query` — no cross-thread mutation.
|
||||||
var seenIds: HashSet<String>? = HashSet()
|
val seenIds = AtomicReference<HashSet<String>?>(HashSet())
|
||||||
val historicalOnEach: (Event) -> Unit = { event ->
|
|
||||||
seenIds?.add(event.id)
|
val sub =
|
||||||
|
LiveSubscription(
|
||||||
|
filters = filters,
|
||||||
|
deliver = { event ->
|
||||||
|
val seen = seenIds.load()
|
||||||
|
if (seen != null && seen.contains(event.id)) return@LiveSubscription
|
||||||
|
onEach(event)
|
||||||
|
},
|
||||||
|
)
|
||||||
|
|
||||||
|
index.register(filters, sub)
|
||||||
|
try {
|
||||||
|
store.query<Event>(filters) { event ->
|
||||||
|
seenIds.load()?.add(event.id)
|
||||||
onEach(event)
|
onEach(event)
|
||||||
}
|
}
|
||||||
newEventStream
|
|
||||||
.onSubscription {
|
|
||||||
store.query(filters, historicalOnEach)
|
|
||||||
onEose()
|
onEose()
|
||||||
// Free the dedupe set once we've crossed EOSE: from
|
// Drop the dedupe set so the live path stops paying for
|
||||||
// here on the live stream is the only source of
|
// it. From this point the index drives delivery and
|
||||||
// events, so duplicates aren't possible.
|
// duplicates are no longer possible.
|
||||||
inHistoricalPhase = false
|
seenIds.store(null)
|
||||||
seenIds = null
|
// Suspend until the caller's coroutine is cancelled
|
||||||
}.collect { newEvent ->
|
// (e.g. NIP-01 CLOSE or connection drop). The `finally`
|
||||||
if (inHistoricalPhase && seenIds?.contains(newEvent.id) == true) return@collect
|
// unregisters from the index.
|
||||||
if (filters.any { it.match(newEvent) }) {
|
awaitCancellation()
|
||||||
onEach(newEvent)
|
} finally {
|
||||||
}
|
index.unregister(sub)
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|||||||
+252
@@ -0,0 +1,252 @@
|
|||||||
|
/*
|
||||||
|
* Copyright (c) 2025 Vitor Pamplona
|
||||||
|
*
|
||||||
|
* Permission is hereby granted, free of charge, to any person obtaining a copy of
|
||||||
|
* this software and associated documentation files (the "Software"), to deal in
|
||||||
|
* the Software without restriction, including without limitation the rights to use,
|
||||||
|
* copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
|
||||||
|
* Software, and to permit persons to whom the Software is furnished to do so,
|
||||||
|
* subject to the following conditions:
|
||||||
|
*
|
||||||
|
* The above copyright notice and this permission notice shall be included in all
|
||||||
|
* copies or substantial portions of the Software.
|
||||||
|
*
|
||||||
|
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||||
|
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
|
||||||
|
* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
|
||||||
|
* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN
|
||||||
|
* AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
|
||||||
|
* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||||
|
*/
|
||||||
|
package com.vitorpamplona.quartz.nip01Core.relay.filters
|
||||||
|
|
||||||
|
import com.vitorpamplona.quartz.nip01Core.core.Event
|
||||||
|
import kotlin.test.Test
|
||||||
|
import kotlin.test.assertEquals
|
||||||
|
import kotlin.test.assertFalse
|
||||||
|
import kotlin.test.assertTrue
|
||||||
|
|
||||||
|
class FilterIndexTest {
|
||||||
|
private val authorA = "a".repeat(64)
|
||||||
|
private val authorB = "b".repeat(64)
|
||||||
|
private val authorC = "c".repeat(64)
|
||||||
|
|
||||||
|
private val pTag1 = "1".repeat(64)
|
||||||
|
private val pTag2 = "2".repeat(64)
|
||||||
|
|
||||||
|
private fun event(
|
||||||
|
id: String = "e".repeat(64),
|
||||||
|
pubkey: String = authorA,
|
||||||
|
kind: Int = 1,
|
||||||
|
tags: Array<Array<String>> = emptyArray(),
|
||||||
|
createdAt: Long = 1_700_000_000,
|
||||||
|
) = Event(
|
||||||
|
id = id,
|
||||||
|
pubKey = pubkey,
|
||||||
|
createdAt = createdAt,
|
||||||
|
kind = kind,
|
||||||
|
tags = tags,
|
||||||
|
content = "",
|
||||||
|
sig = "",
|
||||||
|
)
|
||||||
|
|
||||||
|
/** Distinct identity wrapper so tests can hold a stable handle. */
|
||||||
|
private data class Sub(
|
||||||
|
val name: String,
|
||||||
|
)
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun emptyIndexReturnsNoCandidates() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
assertTrue(index.isEmpty())
|
||||||
|
assertTrue(index.candidatesFor(event()).isEmpty())
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun authorFilterMatchesByAuthor() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.register(Filter(authors = listOf(authorA)), s)
|
||||||
|
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorA)))
|
||||||
|
assertFalse(s in index.candidatesFor(event(pubkey = authorB)))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun multipleAuthorsAllRoutedToSameSubscriber() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.register(Filter(authors = listOf(authorA, authorB)), s)
|
||||||
|
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorA)))
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorB)))
|
||||||
|
assertFalse(s in index.candidatesFor(event(pubkey = authorC)))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun kindFilterMatchesByKind() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.register(Filter(kinds = listOf(1, 7)), s)
|
||||||
|
|
||||||
|
assertTrue(s in index.candidatesFor(event(kind = 1)))
|
||||||
|
assertTrue(s in index.candidatesFor(event(kind = 7)))
|
||||||
|
assertFalse(s in index.candidatesFor(event(kind = 30023)))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun authorWinsOverKindWhenBothPresent() {
|
||||||
|
// Filter has authors AND kinds — the more-selective dimension
|
||||||
|
// (authors) is used. An event with the right kind but a
|
||||||
|
// different author must NOT appear in candidates, otherwise
|
||||||
|
// the index didn't actually narrow.
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.register(Filter(authors = listOf(authorA), kinds = listOf(1)), s)
|
||||||
|
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorA, kind = 1)))
|
||||||
|
// Wrong author, right kind — index excludes correctly.
|
||||||
|
assertFalse(s in index.candidatesFor(event(pubkey = authorB, kind = 1)))
|
||||||
|
// Right author, wrong kind — index includes; Filter.match
|
||||||
|
// would post-reject. Exposed candidate is acceptable.
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorA, kind = 7)))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun idFilterMostSelective() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
val targetId = "9".repeat(64)
|
||||||
|
index.register(Filter(ids = listOf(targetId), kinds = listOf(1)), s)
|
||||||
|
|
||||||
|
assertTrue(s in index.candidatesFor(event(id = targetId)))
|
||||||
|
assertFalse(s in index.candidatesFor(event(id = "8".repeat(64))))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun tagFilterMatchesEventsCarryingTheTag() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.register(Filter(tags = mapOf("p" to listOf(pTag1))), s)
|
||||||
|
|
||||||
|
val matching = event(tags = arrayOf(arrayOf("p", pTag1)))
|
||||||
|
val nonMatching = event(tags = arrayOf(arrayOf("p", pTag2)))
|
||||||
|
|
||||||
|
assertTrue(s in index.candidatesFor(matching))
|
||||||
|
assertFalse(s in index.candidatesFor(nonMatching))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun unindexedFilterMatchesEverything() {
|
||||||
|
// A filter with no narrowing field (e.g. just `since`) lives
|
||||||
|
// in the unindexed pool. Every event must include it.
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.register(Filter(since = 1L), s)
|
||||||
|
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorA, kind = 1)))
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorB, kind = 30023)))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun registerUnindexedExplicit() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.registerUnindexed(s)
|
||||||
|
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorA)))
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorB)))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun unregisterRemovesFromAllBuckets() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.register(Filter(authors = listOf(authorA, authorB)), s)
|
||||||
|
assertEquals(1, index.size())
|
||||||
|
|
||||||
|
index.unregister(s)
|
||||||
|
assertEquals(0, index.size())
|
||||||
|
assertFalse(s in index.candidatesFor(event(pubkey = authorA)))
|
||||||
|
assertFalse(s in index.candidatesFor(event(pubkey = authorB)))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun unregisterOfUnknownIsNoOp() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.unregister(s) // should not throw
|
||||||
|
assertEquals(0, index.size())
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun multiFilterRegistrationOrsAllSelections() {
|
||||||
|
// Subscriber wants events from authorA OR kind 30023.
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
index.register(
|
||||||
|
filters =
|
||||||
|
listOf(
|
||||||
|
Filter(authors = listOf(authorA)),
|
||||||
|
Filter(kinds = listOf(30023)),
|
||||||
|
),
|
||||||
|
subscriber = s,
|
||||||
|
)
|
||||||
|
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorA, kind = 1)))
|
||||||
|
assertTrue(s in index.candidatesFor(event(pubkey = authorB, kind = 30023)))
|
||||||
|
assertFalse(s in index.candidatesFor(event(pubkey = authorB, kind = 1)))
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun multipleSubscribersUnionInCandidates() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s1 = Sub("s1")
|
||||||
|
val s2 = Sub("s2")
|
||||||
|
val s3 = Sub("s3")
|
||||||
|
|
||||||
|
index.register(Filter(authors = listOf(authorA)), s1)
|
||||||
|
index.register(Filter(authors = listOf(authorB)), s2)
|
||||||
|
index.register(Filter(kinds = listOf(1)), s3)
|
||||||
|
|
||||||
|
val cands = index.candidatesFor(event(pubkey = authorA, kind = 1))
|
||||||
|
// s1 hits via author, s3 via kind, s2 must be excluded.
|
||||||
|
assertTrue(s1 in cands)
|
||||||
|
assertTrue(s3 in cands)
|
||||||
|
assertFalse(s2 in cands)
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun forEachVisitsEverySubscriberOnce() {
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s1 = Sub("s1")
|
||||||
|
val s2 = Sub("s2")
|
||||||
|
val s3 = Sub("s3")
|
||||||
|
index.register(Filter(authors = listOf(authorA, authorB)), s1)
|
||||||
|
index.register(Filter(kinds = listOf(1)), s2)
|
||||||
|
index.registerUnindexed(s3)
|
||||||
|
|
||||||
|
val visited = mutableListOf<Sub>()
|
||||||
|
index.forEach { visited.add(it) }
|
||||||
|
|
||||||
|
assertEquals(3, visited.size)
|
||||||
|
assertEquals(setOf(s1, s2, s3), visited.toSet())
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun registerThenUnregisterLeavesNoStaleBuckets() {
|
||||||
|
// Churn test — repeatedly add and remove a subscriber and
|
||||||
|
// verify the index ends up empty (no leaked bucket entries).
|
||||||
|
val index = FilterIndex<Sub>()
|
||||||
|
val s = Sub("s")
|
||||||
|
repeat(100) {
|
||||||
|
index.register(
|
||||||
|
Filter(authors = listOf(authorA), kinds = listOf(1, 7), tags = mapOf("p" to listOf(pTag1))),
|
||||||
|
s,
|
||||||
|
)
|
||||||
|
index.unregister(s)
|
||||||
|
}
|
||||||
|
assertTrue(index.isEmpty())
|
||||||
|
assertTrue(index.candidatesFor(event(pubkey = authorA)).isEmpty())
|
||||||
|
}
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user