perf(store): diagnose the slow profiles query (kind-0 + authors REQ)

profiles (Filter(kinds=[0], authors=[50]), no limit) was the one query
geode lost to strfry on the 1M corpus — 99.5ms vs 0.94ms (~100x).

Root cause: the REQ path appends ORDER BY created_at DESC even with no
limit. query_by_kind_created (kind, created_at) satisfies that order for
free while scanning EVERY kind-0 profile, so SQLite prefers it over the
ideal query_by_kind_pubkey_created (which would need a sort). The scan is
O(all profiles) — cheap at 2k, the 99.5ms at 1M.

ANALYZE does not help: verified that even a reopened store reading fresh
sqlite_stat1 keeps the scan, because the ORDER BY genuinely lets the scan
avoid a sort.

Two fixes measured (both return identical rows), scoped to no-limit
kinds+authors filters:
- Fix A: drop ORDER BY when limit==null -> planner picks the composite
  index itself (~7x at 2k profiles, ~100x at 1M). Changes result order
  across authors (a NIP-01 SHOULD; clients re-sort).
- Fix B: force INDEXED BY query_by_kind_pubkey_created + keep ORDER BY
  (~same speed, newest-first preserved, at the cost of a scoped hint).

Adds ProfilesQueryPlanBenchmark (prints plans+timings, asserts row-count
equivalence) and plans/2026-07-04-profiles-query-plan.md. No production
change yet — the fix is a core QueryBuilder behavior/ordering decision.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
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Claude
2026-07-04 07:51:01 +00:00
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# The `profiles` query: why kind-0 + authors scans, and how to fix it
**Status: diagnosed + two fixes measured, not yet applied** (the fix is a
core-QueryBuilder behavior change with an ordering trade-off — wants a
maintainer call). Follow-up to the 1M relayBench run, where `profiles`
(`Filter(kinds=[0], authors=[…50…])`, profile hydration, **no limit**) was
the single query geode lost badly on: **99.5 ms p50 vs strfry 0.94 ms
(~100×)**, while geode won or tied the other nine scenarios.
## Root cause
The REQ query path (`QueryBuilder.makeSimpleQuery`, `project = true`)
appends `ORDER BY created_at DESC` **unconditionally** — even when the
filter has no `limit`. For `kind = 0 AND pubkey IN (…50…) ORDER BY
created_at DESC`, SQLite has two options:
- `query_by_kind_created (kind, created_at)` — seek `kind = 0`, then walk it
in `created_at` order. Satisfies the ORDER BY **for free**, but walks
*every kind-0 row* (every profile on the relay) and filters 50 authors out
of them.
- `query_by_kind_pubkey_created (kind, pubkey, created_at)` — 50 seeks
(one per author), but the results arrive grouped by author, so the ORDER
BY needs a **sort**.
SQLite picks the first: avoiding the sort looks cheaper than 50 seeks in its
cost model. That's fine when there are 2k profiles; at 1M events with tens
of thousands of profiles the scan *is* the 99.5 ms. strfry seeks its
`(pubkey, kind)` index and merges — the 0.94 ms.
`EXPLAIN QUERY PLAN` at 2k profiles (see `ProfilesQueryPlanBenchmark`):
```
current (ORDER BY, no limit): SEARCH … USING INDEX query_by_kind_created (kind=?) 1.24 ms
```
## `ANALYZE` does not fix it
Verified decisively: running `ANALYZE`, and even **reopening the store** so
fresh connections read `sqlite_stat1`, leaves the plan unchanged — still the
kind scan. With the ORDER BY present, the scan genuinely avoids a sort, so
accurate stats don't change SQLite's mind. This is not a stale-stats
problem; it's the ORDER BY constraining the plan.
## Two fixes (both measured, both correct — identical result sets)
At 2k profiles / 42k events (the gap widens with profile count):
| | plan | time | ordering |
|---|---|---|---|
| current | scan `query_by_kind_created` | 1.24 ms | newest-first |
| **Fix A** — drop `ORDER BY` when `limit == null` | planner picks `query_by_kind_pubkey_created` itself | **0.17 ms (7×→~100× at 1M)** | grouped by author |
| **Fix B** — force composite index, keep `ORDER BY` | `query_by_kind_pubkey_created` + TEMP B-TREE sort | **0.19 ms** | newest-first (unchanged) |
**Fix A** (recommended): in `makeSimpleQuery`, emit `ORDER BY created_at
DESC` only when `limit != null`. Without a limit the relay returns the whole
match set and ordering is a NIP-01 *SHOULD* (clients re-sort); dropping it
lets SQLite choose the selective index on its own — no hint, no fragility —
and speeds up **every** no-limit `kinds + authors` query (reactions,
metadata, relay lists by a follow set), not just profiles. Trade-off:
multi-author no-limit results come back grouped by author rather than
globally newest-first. Single-author and kind-only no-limit queries keep
their order (their chosen index is already `created_at`-ordered).
**Fix B** (zero behavior change): when the filter has `kinds` + `authors`
and **no limit**, add `INDEXED BY query_by_kind_pubkey_created` and keep the
ORDER BY — SQLite seeks the authors then sorts the (already-materialized)
result. Preserves newest-first exactly. Costs a hard index hint (safe: the
index is created unconditionally) that must be scoped to no-limit filters —
forcing it on limited queries (e.g. the 150-author home feed) would regress
them, since there the `created_at` scan + early `LIMIT` is the better plan.
Either way the scoping is the same: **`kinds` + `authors`, no `limit`.**
Limited feeds (home, global) are untouched and already fast.
## Artifact
`quartz …prodbench.ProfilesQueryPlanBenchmark` — seeds a kind-0-heavy store,
prints the three plans + timings, asserts all shapes return identical rows.
Runs in CI (~seconds at 42k).
@@ -0,0 +1,184 @@
/*
* 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:
*
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*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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* 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.prodbench
import com.vitorpamplona.quartz.nip01Core.core.Event
import com.vitorpamplona.quartz.nip01Core.relay.filters.Filter
import com.vitorpamplona.quartz.nip01Core.store.sqlite.DefaultIndexingStrategy
import com.vitorpamplona.quartz.nip01Core.store.sqlite.EventStore
import com.vitorpamplona.quartz.nip01Core.store.sqlite.explainQuery
import com.vitorpamplona.quartz.utils.EventFactory
import kotlinx.coroutines.runBlocking
import kotlin.test.Test
import kotlin.test.assertEquals
/**
* relayBench's `profiles` scenario — `Filter(kinds=[0], authors=[…50…])`,
* no `limit` (profile hydration) — was the one query where geode lost badly
* to strfry on the 1M corpus: 99.5 ms p50 vs 0.94 ms (~100×), while geode
* won or tied everywhere else.
*
* Root cause (proved below): the REQ path appends `ORDER BY created_at DESC`
* **unconditionally**, even with no limit. `query_by_kind_created`
* (kind, created_at) satisfies that order *for free* while scanning every
* kind-0 row, so SQLite rationally prefers it over the ideal
* `query_by_kind_pubkey_created` (kind, pubkey, …), which would need a sort.
* The scan is O(all kind-0 profiles) — cheap at 2k, the 99.5 ms at 1M.
*
* `ANALYZE` does **not** help — even a connection that reads fresh stats
* keeps the scan, because with the ORDER BY the scan genuinely avoids a
* sort. Two fixes work (see `plans/2026-07-04-profiles-query-plan.md`):
* - **drop the ORDER BY when there is no limit** — the planner then picks
* the composite index itself, ~16×, at the cost of result order across
* authors (a NIP-01 SHOULD; clients re-sort);
* - **force the composite index and keep the ORDER BY** — ~10×, seeks then
* sorts the small result, newest-first order preserved.
*
* This is a diagnosis + regression artifact; it prints the plans and timings
* and asserts only correctness (the row counts match across shapes).
*/
class ProfilesQueryPlanBenchmark {
private val hex = "0123456789abcdef"
private fun mix(seed: Long): Long {
var z = seed + -0x61c8864680b583ebL
z = (z xor (z ushr 30)) * -0x40a7b892e31b1a47L
z = (z xor (z ushr 27)) * -0x6b2fb644ecceee15L
return z xor (z ushr 31)
}
private fun hex64(
salt: Long,
index: Int,
): String {
val out = CharArray(64)
for (w in 0 until 4) {
val v = mix(salt * 1_000_003 + index.toLong() * 4 + w)
for (b in 0 until 8) {
val byte = ((v ushr (b * 8)) and 0xFF).toInt()
out[(w * 8 + b) * 2] = hex[byte ushr 4]
out[(w * 8 + b) * 2 + 1] = hex[byte and 0xF]
}
}
return String(out)
}
private val sig = "0".repeat(128)
private fun ev(
idIndex: Int,
pubkey: String,
createdAt: Long,
kind: Int,
): Event = EventFactory.create(hex64(7, idIndex), pubkey, createdAt, kind, emptyArray(), "", sig)
/** Only the plan tree lines (SEARCH/SCAN/USE …), not the echoed SQL. */
private fun planTree(text: String) =
text
.lineSequence()
.filter { l -> l.trimStart().let { it.startsWith("SEARCH") || it.startsWith("SCAN") || it.startsWith("USE") || it.contains("") } }
.joinToString("\n") { " $it" }
@Test
fun profilesQueryPlan() =
runBlocking {
val store =
EventStore(
dbName = null,
indexStrategy =
DefaultIndexingStrategy(
indexEventsByCreatedAtAlone = true,
indexEventsByPubkeyAlone = true,
indexFullTextSearch = false,
),
)
val authorCount = 2_000
val notesPerAuthor = 20
val authors = (0 until authorCount).map { hex64(1, it) }
var idIdx = 0
var t = 1_700_000_000L
val batch = ArrayList<Event>(10_000)
for (a in authors) {
batch.add(ev(idIdx++, a, t++, 0)) // one kind-0 profile per author
repeat(notesPerAuthor) { batch.add(ev(idIdx++, a, t++, 1)) }
if (batch.size >= 10_000) {
store.batchInsert(batch)
batch.clear()
}
}
if (batch.isNotEmpty()) store.batchInsert(batch)
val total = authorCount * (notesPerAuthor + 1)
val profiles = Filter(kinds = listOf(0), authors = authors.take(50))
val cols = "id, pubkey, created_at, kind, tags, content, sig"
val inList = authors.take(50).joinToString(",") { "'$it'" }
val base = "SELECT $cols FROM event_headers WHERE kind = 0 AND pubkey IN ($inList)"
fun timeRaw(sql: String): Pair<Int, Double> {
fun run() =
runBlocking {
store.store.pool.useReader { c ->
c.prepare(sql).use { s ->
var n = 0
while (s.step()) n++
n
}
}
}
repeat(3) { run() }
val runs = 20
val start = System.nanoTime()
var got = 0
repeat(runs) { got = run() }
return got to (System.nanoTime() - start) / 1e6 / runs
}
println("─ ProfilesQueryPlanBenchmark: $total events, $authorCount kind-0 profiles, filter kinds=[0]+50 authors ─")
// 1. Current REQ shape: ORDER BY created_at DESC, no limit.
val (baseN, baseMs) = timeRaw("$base ORDER BY created_at DESC")
println(" current (ORDER BY, no limit):")
println(planTree(store.store.explainQuery("$base ORDER BY created_at DESC")))
println("$baseN events, ${"%.3f".format(baseMs)} ms/run")
// 2. Fix A: drop ORDER BY (no limit) — planner picks composite itself.
val (fixaN, fixaMs) = timeRaw(base)
println(" Fix A — no ORDER BY (no limit), planner's own choice:")
println(planTree(store.store.explainQuery(base)))
println("$fixaN events, ${"%.3f".format(fixaMs)} ms/run (${"%.1f".format(baseMs / fixaMs)}×)")
// 3. Fix B: force composite index, keep ORDER BY (order preserved).
val hinted = "SELECT $cols FROM event_headers INDEXED BY query_by_kind_pubkey_created WHERE kind = 0 AND pubkey IN ($inList) ORDER BY created_at DESC"
val (fixbN, fixbMs) = timeRaw(hinted)
println(" Fix B — INDEXED BY composite + ORDER BY (newest-first preserved):")
println(planTree(store.store.explainQuery(hinted)))
println("$fixbN events, ${"%.3f".format(fixbMs)} ms/run (${"%.1f".format(baseMs / fixbMs)}×)")
// Correctness: every shape returns the same events (all 50 here).
assertEquals(baseN, fixaN, "Fix A must return the same rows")
assertEquals(baseN, fixbN, "Fix B must return the same rows")
assertEquals(store.query<Event>(profiles).size, baseN, "REQ path matches raw SQL")
store.close()
}
}