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