Files
amethyst/quartz
Claude 5f0a629e18 perf: relay read/write path — ordering index, zero-decode REQ replay, prepared-statement cache
Three changes, each validated head-to-head against strfry with relayBench
(same 10k-event corpus a1cd3517a8296911, stock configs, sig verify on):

- geode: RelayIndexingStrategy turns on indexEventsByCreatedAtAlone for
  the relay's stores (quartz's DefaultIndexingStrategy stays off for
  client-side stores). A relay can't predict client filters, and the
  cheapest REQ of all — {"limit":N} — was a full-table scan + top-N
  sort: 40 ms and O(table) growth before; 11 ms and index-streamed
  (first event 30 ms -> 1.9 ms) after.

- quartz: zero-decode REQ replay. Stored events now stream as RawEvent
  (tags kept in serialized form) and are spliced directly into wire
  frames — no tags parse, no EventFactory dispatch, no re-serialize per
  row. Gated on the new IRelayPolicy.filtersOutgoingEvents capability:
  policies that can veto per-event delivery (none today) keep the
  materialized path; everyone else skips it. Live post-EOSE delivery is
  unchanged (live matching needs Event objects).

- quartz: StatementCachingConnection wraps the pool's writer and reader
  connections, replaying prepared statements instead of re-preparing per
  event/REQ (eager reset on return keeps cursors from holding table
  locks; a 256-statement cap bounds client-controlled filter-shape
  variety). Ingest went 3,000 -> 4,700 events/s (+55%) — prepare
  overhead was the single largest non-crypto write cost.

Net effect on the benchmark: ingest gap vs strfry narrowed from 2.2x to
1.8x, the firehose latency gap from 4x to 1.2x, and geode now wins 4 of
9 query-latency scenarios (notifications, hashtag, by-ids,
recent-window) plus most concurrent-throughput scenarios, while keeping
the smaller on-disk footprint. Result sets stayed byte-identical across
relays and NIP-77 sync still converges.

Measured but deliberately NOT taken: per-row SAVEPOINT elision (+4%,
within run noise — not worth weakening batch error isolation), FTS-off
(+25% ingest but drops NIP-50), --no-verify (+45% but unfair/unsafe).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NeoCvXnTxsKzqurkmjdC46
2026-07-03 18:37:39 +00:00
..
2026-04-30 17:37:29 -04:00

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)
                }
        }
    }
}