From 939d15652c68d1746c902867436af8a6720fb91b Mon Sep 17 00:00:00 2001
From: Mike Bannister <notimpossiblemike@gmail.com>
Date: Mon, 23 Mar 2026 11:35:22 -0400
Subject: [PATCH] fix: use CTE in searchFTS to prevent query planner regression
 with collection filter
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When searchFTS combines FTS5 MATCH with a collection filter (d.collection = ?)
in the same WHERE clause, SQLite's query planner abandons the FTS5 index and
falls back to a full scan. This turns an 8ms query into a 17+ second query on
large collections (16K+ documents).

The fix wraps the FTS5 query in a CTE so it runs first with proper index usage,
then filters by collection on the materialized results.

Benchmarks on a 16,258-document collection:
  Before: qmd search "knowctl" -c <collection> → 19.8s
  After:  qmd search "knowctl" -c <collection> → 0.4s

The CTE fetches limit*10 candidates from the FTS index to ensure enough results
survive collection filtering. Without a collection filter, the query plan was
already optimal, so no CTE overhead is added in that case.
---
 src/store.ts | 30 ++++++++++++++++++++++++------
 1 file changed, 24 insertions(+), 6 deletions(-)

diff --git a/src/store.ts b/src/store.ts
index f17404d..73ad96a 100644
--- a/src/store.ts
+++ b/src/store.ts
@@ -2764,20 +2764,38 @@ export function searchFTS(db: Database, query: string, limit: number = 20, colle
   const ftsQuery = buildFTS5Query(query);
   if (!ftsQuery) return [];
 
+  // Use a CTE to force FTS5 to run first, then filter by collection.
+  // Without the CTE, SQLite's query planner combines FTS5 MATCH with the
+  // collection filter in a single WHERE clause, which can cause it to
+  // abandon the FTS5 index and fall back to a full scan — turning an 8ms
+  // query into a 17-second query on large collections.
+  const params: (string | number)[] = [ftsQuery];
+
+  // When filtering by collection, fetch extra candidates from the FTS index
+  // since some will be filtered out. Without a collection filter we can
+  // fetch exactly the requested limit.
+  const ftsLimit = collectionName ? limit * 10 : limit;
+
   let sql = `
+    WITH fts_matches AS (
+      SELECT rowid, bm25(documents_fts, 10.0, 1.0) as bm25_score
+      FROM documents_fts
+      WHERE documents_fts MATCH ?
+      ORDER BY bm25_score ASC
+      LIMIT ${ftsLimit}
+    )
     SELECT
       'qmd://' || d.collection || '/' || d.path as filepath,
       d.collection || '/' || d.path as display_path,
       d.title,
       content.doc as body,
       d.hash,
-      bm25(documents_fts, 10.0, 1.0) as bm25_score
-    FROM documents_fts f
-    JOIN documents d ON d.id = f.rowid
+      fm.bm25_score
+    FROM fts_matches fm
+    JOIN documents d ON d.id = fm.rowid
     JOIN content ON content.hash = d.hash
-    WHERE documents_fts MATCH ? AND d.active = 1
+    WHERE d.active = 1
   `;
-  const params: (string | number)[] = [ftsQuery];
 
   if (collectionName) {
     sql += ` AND d.collection = ?`;
@@ -2785,7 +2803,7 @@ export function searchFTS(db: Database, query: string, limit: number = 20, colle
   }
 
   // bm25 lower is better; sort ascending.
-  sql += ` ORDER BY bm25_score ASC LIMIT ?`;
+  sql += ` ORDER BY fm.bm25_score ASC LIMIT ?`;
   params.push(limit);
 
   const rows = db.prepare(sql).all(...params) as { filepath: string; display_path: string; title: string; body: string; hash: string; bm25_score: number }[];