Acts on the measured gaps from TagAuthorIndexBenchmark and FsDriverSelectionBenchmark: - FsQueryPlanner: replace the fixed tags -> kinds -> authors driver order with a cost-based pick. Every legal driver (each tagsAll value, each tags key's value union, the kind set, the author set) opens a lazy directory iterator; all are drained in lockstep and the first to exhaust (the smallest listing) drives, so a giant idx/kind tree is never read past ~the smallest candidate's size. Fixes the 149 ms vs 3.4 ms (~44x at 30k events) authors+kinds+limit regression. - EventIndexesModule.ensureOptionalIndexes + SQLiteEventStore: flag- gated indexes are runtime config, not schema. An idempotent CREATE INDEX IF NOT EXISTS pass now runs on every open, so flipping an IndexingStrategy flag on an existing DB builds the index without a user_version bump. - Desktop LocalRelayStore: enable indexEventsByPubkeyAlone. Shared ViewModels (Nip65RelayList, PrivateOutboxRelayList, VanishRequests) replay authors-only filters that full-scanned without (pubkey, created_at); existing DBs pick the index up on next open. - relayBench Scenarios: add "conversation" (tag ∩ author ∩ kind, the DM-room shape, 65 client assembler call sites) and "reactions-watch" (kind 7 + #e IN 150 hottest notes) so the uncovered archetypes get head-to-head numbers vs strfry. - quartz build: forward tagBenchScale/fsBenchScale to the test JVM. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RzkoN3SJHCZWRAiadXXG4w
Quartz Guide for Clients
Here's how to structure a new Twitter-like client.
Architecture
Set up a Context class to wire Quartz components together. Usually there is only one instance of this class.
object AppGraph {
// application-wide scope
private val scope = CoroutineScope(Dispatchers.IO + SupervisorJob())
// the local db
val sqlite = EventStore(dbName = "demo-events.db")
// the local cache that keeps only one copy of each event in memory
val interned = InterningEventStore(sqlite)
// the observable db, that you can produce flows that auto update
val db = ObservableEventStore(interned)
// the client to access relays
val client = NostrClient(websocketBuilder = KtorWebSocket.Builder())
// sends all events, regardless of the subscription, to the local db
val collector = EventCollector(client) { event, _ ->
runCatching {
db.insert(event)
}
}
// update this variable when a user logs in, starts with a guest
var signer: NostrSigner = NostrSignerInternal(KeyPair())
init {
// Periodic NIP-40 sweep — drops expired events from SQLite and
// emits StoreChange.DeleteExpired so live projections drop them
// too. Without this the on-disk store grows monotonically.
scope.launch {
while (isActive) {
delay(15.minutes)
runCatching { db.deleteExpiredEvents() }
}
}
}
}
Then use a view model to subscribe to relays and the local db at the same time, like this:
class NotesFeed(
private val db: ObservableEventStore,
private val client: NostrClient,
) {
private val subId = newSubId()
private val filter = Filter(kinds = listOf(TextNoteEvent.KIND), limit = 100)
private val relays =
setOf(
"wss://relay.damus.io".normalizeRelayUrl(),
"wss://nos.lol".normalizeRelayUrl(),
"wss://relay.nostr.band".normalizeRelayUrl(),
)
val notes: Flow<ProjectionState<TextNoteEvent>> =
db
.project<TextNoteEvent>(filter)
.filterItems { it.value.isNewThread() }
.onStart { client.subscribe(subId, relays.associateWith { listOf(filter) }) }
.onCompletion { client.unsubscribe(subId) }
}
class FeedViewModel(
private val db: ObservableEventStore,
private val client: NostrClient,
) : ViewModel() {
val notesFeed = NotesFeed(db, client)
val feed = notesFeed
.flow
.stateIn(viewModelScope, SharingStarted.WhileSubscribed(5_000), ProjectionState.Loading)
fun send(text: String, signer: NostrSigner) {
viewModelScope.launch {
val signed = signer.sign<TextNoteEvent>(TextNoteEvent.build(text))
// Hits the bus → projection picks it up alongside any inbound relay copy.
db.insert(signed)
client.publish(signed, relays)
}
}
}
Notice that the notes flow is ready for the UI and automatically subscribes
and unsubscribes to any group of relays and filters the user wants. Similarly,
the send function updates both the local db and the relay.
NostrClient connects on-demand: the first subscribe(...) or publish(...) to a relay triggers the socket. There's no need to call client.connect() at startup — it's only useful for resuming after a prior disconnect().
Building a reactive feed UI
A feed screen reads from the view model's feed flow, which only updates when new events arrive or are deleted due to kind 5 deletions, vanish requests or expirations.
fun main() {
application {
val state = rememberWindowState(size = DpSize(560.dp, 720.dp))
Window(onCloseRequest = ::exitApplication, state = state, title = "Nostr Kind 1 Demo") {
MaterialTheme {
val viewModel = remember {
FeedViewModel(AppGraph.db, AppGraph.client, AppGraph.signer)
}
val noteState by viewModel.feed.collectAsStateWithLifecycle()
when (noteState) {
is ProjectionState.Loading -> LoadingFeed()
is ProjectionState.Loaded -> Feed(noteState.items)
}
}
}
}
}
@Composable
private fun LoadingFeed() {
Box(modifier = Modifier.fillMaxSize(), contentAlignment = Alignment.Center) {
CircularProgressIndicator()
}
}
@Composable
private fun Feed(items: List<MutableStateFlow<TextNoteEvent>>) {
LazyColumn(modifier = Modifier.fillMaxSize()) {
items(items = items, key = { it.value.id }) { handle ->
NoteRow(handle)
HorizontalDivider()
}
}
}
@Composable
private fun NoteRow(handle: MutableStateFlow<TextNoteEvent>) {
val event by handle.collectAsStateWithLifecycle()
Text(
text = event.content,
style = MaterialTheme.typography.bodyMedium,
modifier = Modifier.padding(top = 4.dp),
)
}
Notice how each how also subscribe for changes. This is important to receive updates from replaceable and addressable events.
Appendix A
Quartz doesn't offer a Ktor websocket, but you can use this one as reference.
/**
* Ktor-based [WebSocket] for talking to a Nostr relay.
*
* Quartz exposes [WebsocketBuilder] as the only seam between its relay-pool
* and the underlying transport, so all this class has to do is open a Ktor
* websocket session, forward incoming text frames to [out], and let Quartz
* drive sends.
*/
class KtorWebSocket(
private val url: NormalizedRelayUrl,
private val httpClient: HttpClient,
private val out: WebSocketListener,
) : WebSocket {
private val scope = CoroutineScope(Dispatchers.IO + SupervisorJob())
private var session: DefaultWebSocketSession? = null
private var readerJob: Job? = null
override fun needsReconnect(): Boolean = session == null
override fun connect() {
readerJob =
scope.launch {
try {
val s = httpClient.webSocketSession(urlString = url.url)
session = s
out.onOpen(0, false)
for (frame in s.incoming) {
if (frame is Frame.Text) {
out.onMessage(frame.readText())
}
}
val reason = s.closeReason.await()
out.onClosed(
code =
reason?.code?.toInt() ?: CloseReason.Codes.NORMAL.code
.toInt(),
reason = reason?.message ?: "",
)
} catch (t: Throwable) {
out.onFailure(t, null, null)
} finally {
session = null
}
}
}
override fun disconnect() {
val s = session
session = null
readerJob?.cancel()
readerJob = null
if (s != null) {
runBlocking { s.close(CloseReason(CloseReason.Codes.NORMAL, "client disconnect")) }
}
scope.cancel()
}
override fun send(msg: String): Boolean {
val s = session ?: return false
scope.launch { s.send(msg) }
return true
}
/**
* The factory Quartz hands to [com.vitorpamplona.quartz.nip01Core.relay.client.NostrClient].
* One [HttpClient] is shared by every relay in the pool.
*/
class Builder(
private val httpClient: HttpClient = defaultClient(),
) : WebsocketBuilder {
override fun build(
url: NormalizedRelayUrl,
out: WebSocketListener,
): WebSocket = KtorWebSocket(url, httpClient, out)
companion object {
fun defaultClient() =
HttpClient(CIO) {
install(WebSockets)
}
}
}
}