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perf(server): the chat list no longer counts every item of a long thread on each update - #34666
Each chat-list entry shows its thread's item count, and every update to an active thread recounted all of that thread's items (GROUP BY over the turn items). On a thread with about 59k items that query takes 0.6-0.9 s. Active threads trigger it many times a minute, and in a server trace it was the largest single source of reader CPU: 2,336 calls and 447 s in 18 minutes. While it runs, other reads wait for a free connection, which delays the Working status after a send.
Fix
Maintained counts.orchestration_v2_projection_run_item_counts holds one row per (thread, run) with its item count and a counted flag. Items without a run count under run_id ''.
Written with the items.turn-item.updated adds one to the item's (thread, run) row when the item is new, and moves the count when an existing item changes thread or run. A rewrite that changes neither costs one primary-key read.
Kept in step with runs.run.created and run.updated set counted to false for a rolled-back run and true otherwise. An item written before its run exists starts uncounted and is counted once the run arrives.
Read by the chat list. The shell count and the fork-source per-run counts read these rows instead of the items, with the same rules as before: runless items count, rolled-back and missing runs do not.
Migration 084 creates the table and fills it from the existing items.
Scope
There is no prior issue or discussion for this; it qualifies for the small, focused fix exception in CONTRIBUTING.
The defect: the chat list recounts every item of a long thread on each update of that thread, which costs 0.6-0.9 s per update on a ~59k-item thread and holds reader connections that other reads wait for.
Why it qualifies: the fix changes how an existing read gets its number, not what it returns. The count rules are unchanged (runless items count; rolled-back and missing runs do not), nothing user-visible or default changes, and no setting or feature is added. The changes are the ones needed to keep the count current: one table, its maintenance where items and runs are already written, the read, and a backfill migration. For every thread in a real database the new count equals the old query's.
Evidence
Tests.ProjectionStore.test.ts extends the existing shell item-count case: it writes an item again (count unchanged), moves it between a counted run, a rolled-back run and no run, rolls a run back and un-rolls it, and writes an item before its run exists. Removing either the decrement on a move or the run-event update makes it fail. 084_RunItemCounts.test.ts covers the backfill, including runless, rolled-back and missing runs. reconcileV2PreviewMigration.test.ts pins the manifest.
Measured on a reflink copy of a real ~25 GB database (970k items, 1,399 threads; the live file was never opened for writing):
before
after
chat-list count, thread with 58,780 items
0.60-0.86 s
1-3 ms
chat-list count, thread with 11,616 items
0.14-0.21 s
0.2-0.5 ms
backfill (one-time, first start)
about 18 s
For every one of the 1,399 threads the new count and runless count equal the old query's. The backfill took about 18 s on a cold cache; the migration runs before the server accepts connections.
What this does not show.
A real server under load. The numbers are the statement alone, run in the sqlite shell with the cold cache of a fresh copy.
The other chat-list reads (thread shell rows, subscription snapshots) are untouched.
reads a fixed SQL turn-item window fails locally on node 22 because it needs statement.stat (node 26); CI runs node 26.
vp run knip:check here also lists two unused devDependencies (gt in the mobile and web packages), which this change does not touch.
Verified with vp run check:changed: format, lint, graphql and typecheck pass, and the changed test files pass apart from the node-26 case above.
…ead on each update
A thread's chat-list entry shows its item count, and every update to an active thread
recounted all of its items. On a thread with about 59k items that is a 0.6-0.9 s query
per update, and active threads trigger it many times a minute.
ProjectionStore now keeps a per-run item count row (and whether the run counts) as items
and runs are written, so the chat list sums one small row per run instead of reading
every item. Migration 083 builds the rows from the existing items.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Macroscope's review found this PR approvable — Chat-list item counts now use maintained summaries instead of repeatedly scanning long threads. The migration adds derived data without altering source items, and reported representative measurements support limited startup cost and substantially faster reads.
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…ating first
The projection rebuild writes through the current tables, which now include the run item
counts, so the two migration tests that ran it at migration 64 and 66 migrate fully before
rebuilding.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
No actionable comments were generated in the recent review.
Walkthrough
Migration 84 adds a per-thread, per-run item-count table and backfills it from projected turn items. Projection updates maintain the counts as runs and items change. Shell snapshot queries use the maintained counts.
Migration 84 creates the count table and backfills counts by thread and run, using an empty run key for null run IDs. Migration registration and tests cover the migration and projection rebuilds.
Maintain counts during projection updates apps/server/src/orchestration-v2/ProjectionStore.ts, apps/server/src/orchestration-v2/ProjectionStore.test.ts, apps/server/src/orchestration-v2/testkit/ProjectionReplay.ts
Run status changes update whether a bucket is counted. Item updates adjust counts when an item changes thread or run. Projection replay clears the count table. Tests cover item rewrites, run status changes, and items written before their run.
Read maintained counts for shell queries apps/server/src/orchestration-v2/ProjectionStore.ts
Shell snapshot queries read per-run counts and sum counted buckets for total and runless counts.
pingdotgg/t3code#23000 — The issue reports slow thread-shell list queries on large V2 databases; this PR replaces turn-item counting in the shell list path with maintained counts.
Possibly related PRs
pingdotgg/t3code#26816 — Implements shell item counts with a precomputed per-thread, per-run count table, an alternative approach to this PR’s projection-maintained counts.
pingdotgg/t3code#27975 — Implements the same shell-count behavior with a precomputed count table and triggers, rather than maintaining counts in ProjectionStore.
Suggested reviewers:juliusmarminge
Merge Risk: Minimal · up to c96aa
This change maintains per-run item counts so the chat list no longer recounts every item of a long thread on each update. The counting rules are unchanged, and the supplied evidence shows no concrete correctness or availability risk. The migration backfill takes about 18 seconds on a large database, which is worth knowing before rollout.
Pre-merge checks: 4
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Explanation
Title check
The title names the main change: the chat list's item count for long threads is maintained incrementally instead of recounted on every update. It is specific, follows the conventional commit form, and…
Linked Issues check
Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check
Check skipped because no linked issues were found for this pull request.
Description check
The description follows the repository template closely. It has Problem, Change, Scope, and Verification sections, and each is filled in with specific detail. The Problem section gives the cause (a GR…
Full details: Title check
Explanation
The title names the main change: the chat list's item count for long threads is maintained incrementally instead of recounted on every update. It is specific, follows the conventional commit form, and matches the objectives and file changes.
Full details: Description check
Explanation
The description follows the repository template closely. It has Problem, Change, Scope, and Verification sections, and each is filled in with specific detail. The Problem section gives the cause (a GROUP BY recount on every update of a long thread) and the measured cost (0.6-0.9 s on a thread of about 59k items). The Change section lists the new table, the write paths, the read paths, and the backfill migration. The Scope section links the CONTRIBUTING exception and explains why the change qualifies as a focused fix. The Verification section lists the focused tests, the before/after measurements on a copy of a real database, and the checks that could not be run. It also states the unverified parts: a real server under load, the node-22 test failure, and the knip warnings. The template's agent-attribution line is present ("Written by Claude Sonnet 5.5 in T3 Code"). The description has no UI change, so no screenshots are needed. Minor gaps: the Scope section cites no linked issue, and it justifies the lack of one instead. The template asks for that case, so it is acceptable. The migration number is 084 in the description and in the code, but the PR objectives say 083. That conflict belongs to the objectives text, not to the description.
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
minimal, and validate.
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Add a link to the triaged issue or the maintainer discussion that approved this
direction and scope, including the approval comment. If no prior approval
exists, explain why this change qualifies for the small, focused fix exemption.
The Scope section should also say why the change stays within existing behavior.
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That PR fixes the same problem (each update recounted every item of a long thread) with the trigger-maintained counts from #27975. Your design reads faster (1.1 ms against 5.1 ms on a 16,500-run thread), but it copies run state into a second table and adds a read before each item write, which cost about twice as much per write on the same data. Your rewrite, move, rollback and late-run test cases are in the merged PR, and the squash commit carries a Co-authored-by line for you.
Verified on a real server with 1,813 threads and 153,546 turn items: the two migrations run once, the stored counts match a fresh recount after every kind of write, and the sidebar matches main row for row.
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size:L100-499 changed lines (additions + deletions).vouch:unvouchedPR author is not yet trusted in the VOUCHED list.
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Problem
Each chat-list entry shows its thread's item count, and every update to an active thread recounted all of that thread's items (
GROUP BYover the turn items). On a thread with about 59k items that query takes 0.6-0.9 s. Active threads trigger it many times a minute, and in a server trace it was the largest single source of reader CPU: 2,336 calls and 447 s in 18 minutes. While it runs, other reads wait for a free connection, which delays the Working status after a send.Fix
orchestration_v2_projection_run_item_countsholds one row per (thread, run) with its item count and acountedflag. Items without a run count under run_id''.turn-item.updatedadds one to the item's (thread, run) row when the item is new, and moves the count when an existing item changes thread or run. A rewrite that changes neither costs one primary-key read.run.createdandrun.updatedsetcountedto false for a rolled-back run and true otherwise. An item written before its run exists starts uncounted and is counted once the run arrives.084creates the table and fills it from the existing items.Scope
There is no prior issue or discussion for this; it qualifies for the small, focused fix exception in CONTRIBUTING.
Evidence
Tests.
ProjectionStore.test.tsextends the existing shell item-count case: it writes an item again (count unchanged), moves it between a counted run, a rolled-back run and no run, rolls a run back and un-rolls it, and writes an item before its run exists. Removing either the decrement on a move or the run-event update makes it fail.084_RunItemCounts.test.tscovers the backfill, including runless, rolled-back and missing runs.reconcileV2PreviewMigration.test.tspins the manifest.Measured on a reflink copy of a real ~25 GB database (970k items, 1,399 threads; the live file was never opened for writing):
For every one of the 1,399 threads the new count and runless count equal the old query's. The backfill took about 18 s on a cold cache; the migration runs before the server accepts connections.
What this does not show.
reads a fixed SQL turn-item windowfails locally on node 22 because it needsstatement.stat(node 26); CI runs node 26.vp run knip:checkhere also lists two unused devDependencies (gtin the mobile and web packages), which this change does not touch.Verified with
vp run check:changed: format, lint, graphql and typecheck pass, and the changed test files pass apart from the node-26 case above.Written by Claude Sonnet 5.5 in T3 Code.
🤖 Generated with Claude Code