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## Summary - add partial SQLite indexes for visible thread lists ordered by creation or update time - match the `archived` and non-empty `preview` filters used by `thread/list` - add query-plan coverage for both supported sort orders ## Query performance Benchmarked the production query shape on a snapshot of my database with ~10k threads before and after applying these indexes. The query selected the full thread projection with `archived = 0`, `preview <> ''`, the `openai` provider filter, and a page size of 201. Results are the mean of 30 runs after 5 warmups: | Query | Before | After | Speedup | | --- | ---: | ---: | ---: | | First page, `created_at_ms DESC` | 132.3 ms | 15.1 ms | 8.78x | | First page, `updated_at_ms DESC` | 123.6 ms | 15.5 ms | 7.99x | | Cursor page near row 4,000, `created_at_ms DESC` | 51.8 ms | 16.8 ms | 3.07x | | Cursor page near row 4,000, `updated_at_ms DESC` | 52.4 ms | 17.1 ms | 3.06x | Before this change, SQLite used `idx_threads_archived`, filtered the candidate rows, and built a temporary B-tree for the requested ordering. With the partial indexes, SQLite reads matching visible rows directly in timestamp order and stops at the page limit. `EXPLAIN QUERY PLAN` no longer reports `USE TEMP B-TREE FOR ORDER BY`. The result rows were identical before and after. The two partial indexes occupy approximately 168 KiB combined on this snapshot. ## Performance under contention I noticed this issue on a database with high-contention and tried to use simulated contention to validate the performance in that context. A synthetic SQLite benchmark ran five concurrent readers, matching the state database pool size, and fetched 101 rows per query. Results are the median of three runs on fresh copies of the same database snapshot: | Query | Before | After | | --- | ---: | ---: | | `created_at_ms` mean latency under saturation | 328 ms | 12 ms | | `created_at_ms` throughput | 16 queries/s | 412 queries/s | | `updated_at_ms` mean latency under saturation | 336 ms | 14 ms | | `updated_at_ms` throughput | 15 queries/s | 357 queries/s | For a burst of 100 queries queued through five connections, p95 completion time fell from 6.90 seconds to 226 ms for `created_at_ms`, and from 6.31 seconds to 473 ms for `updated_at_ms`. ## Validation - `just test -p codex-state` (135 tests passed) - query-plan regression covers created-at and updated-at ordering, requires the corresponding index, and rejects `TEMP B-TREE` - `just fmt`
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