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perf(client): batch large thread sync updates - #5344

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danvernon wants to merge 2 commits into
pingdotgg:mainfrom
danvernon:perf/large-thread-sync
Open

perf(client): batch large thread sync updates#5344
danvernon wants to merge 2 commits into
pingdotgg:mainfrom
danvernon:perf/large-thread-sync

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@danvernon

@danvernon danvernon commented Aug 4, 2026

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Summary

  • Batch live thread stream items in the shared client runtime, applying ordered items locally and publishing the final state once per batch.
  • Bound batches to 64 items or 16 ms so large-thread sync updates do not trigger web/mobile derivation work for every streamed event.
  • Preserve sequence deduplication, completion markers, deletion handling, and cache persistence behavior.

Why

Large threads can produce many message and activity updates. Previously each event updated the shared SubscriptionRef, causing the web and mobile clients to repeatedly rebuild large thread views during synchronization.

Validation

  • ./node_modules/.bin/vp test run packages/client-runtime/src/state/threads-sync.test.ts
  • ./node_modules/.bin/vp test run packages/client-runtime/src/state/threadReducer.test.ts packages/client-runtime/src/state/threads-atoms.test.ts
  • Targeted client-runtime typecheck, lint, formatting, and diff checks

The PR intentionally focuses on client-side publication cost; server snapshot/replay and per-event reducer optimizations remain separate follow-up work.

Note

Batch large thread sync updates to reduce state publications in EnvironmentThreadState

  • Introduces reduceThreadStreamItems, a pure reducer that processes a batch of OrchestrationThreadStreamItem events and produces a single updated state and a persistable snapshot.
  • Stream processing in EnvironmentThreadState.make now uses Stream.groupedWithin to group items into batches (default size 64, window 16ms) before applying them, so a burst of events results in a single state publication.
  • When a batch contains a settled state followed by non-persistable events, the settled snapshot is enqueued for persistence before the turn starts.
  • Callers can override the batch size via a new eventBatchSize option on EnvironmentThreadStateOptions.
  • Behavioral Change: state updates are now deferred up to 16ms during a burst; downstream subscribers will see fewer, coarser-grained updates.

Macroscope summarized 783fd02.

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@github-actions github-actions Bot added vouch:unvouched PR author is not yet trusted in the VOUCHED list. size:L 100-499 changed lines (additions + deletions). labels Aug 4, 2026
Comment thread packages/client-runtime/src/state/threads.ts Outdated
@danvernon
danvernon marked this pull request as ready for review August 4, 2026 16:53
@macroscopeapp

macroscopeapp Bot commented Aug 4, 2026

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Approvability

Verdict: Needs human review

This performance optimization changes the timing characteristics of thread state synchronization by batching updates. While the tests cover key scenarios, the change to a core sync mechanism by an author new to this file warrants human review to verify the batching approach is safe across all edge cases.

You can customize Macroscope's approvability policy. Learn more.

patroza pushed a commit to patroza/t3code that referenced this pull request Aug 5, 2026
Imported from pingdotgg#5344 at source SHA
783fd02 (commits b623dc2 + 783fd02
squashed into one provenance commit).

Imported behavior:
- `reduceThreadStreamItems`, a pure reducer that folds a batch of thread
  stream items into one state and one persistable snapshot.
- `Stream.groupedWithin(64, 16ms)` on the live subscription so a burst of
  thread events publishes the `SubscriptionRef` once instead of per event,
  and web/mobile stop rebuilding large thread views per streamed event.
- `eventBatchSize` on `EnvironmentThreadStateOptions`, plus the upstream
  regression tests for ordered single-publication bursts and for persisting
  a settled snapshot when a batch ends with a non-persistable turn start.

Local adaptations:
- Kept our `httpSnapshotLoadAttempted` guard around the HTTP snapshot
  fallback; the call now goes through `applyItems([...])`.
- Restored `setDeleted` (removed upstream) for the terminal
  `thread-deleted` subscription failure, which never reaches the item
  stream and so cannot go through the batch reducer. Cache removal is
  shared with the reducer path via `removeCachedThread`.

Excluded:
- `tasks/todo.md`, the author's scratch checklist.

Follow-up (fork/changes, not this layer): our `reload-required` branch and
`reloadFromServer` are built on the deleted `setThread`, so rebasing
fork/changes onto this layer must re-express them against the reducer
(split the batch at the reload point, then re-enter `applyItems` with the
remainder).
patroza added a commit to patroza/t3code that referenced this pull request Aug 5, 2026
… (#328)

Imported from pingdotgg#5344 at source SHA
783fd02 (commits b623dc2 + 783fd02
squashed into one provenance commit).

Imported behavior:
- `reduceThreadStreamItems`, a pure reducer that folds a batch of thread
  stream items into one state and one persistable snapshot.
- `Stream.groupedWithin(64, 16ms)` on the live subscription so a burst of
  thread events publishes the `SubscriptionRef` once instead of per event,
  and web/mobile stop rebuilding large thread views per streamed event.
- `eventBatchSize` on `EnvironmentThreadStateOptions`, plus the upstream
  regression tests for ordered single-publication bursts and for persisting
  a settled snapshot when a batch ends with a non-persistable turn start.

Local adaptations:
- Kept our `httpSnapshotLoadAttempted` guard around the HTTP snapshot
  fallback; the call now goes through `applyItems([...])`.
- Restored `setDeleted` (removed upstream) for the terminal
  `thread-deleted` subscription failure, which never reaches the item
  stream and so cannot go through the batch reducer. Cache removal is
  shared with the reducer path via `removeCachedThread`.

Excluded:
- `tasks/todo.md`, the author's scratch checklist.

Follow-up (fork/changes, not this layer): our `reload-required` branch and
`reloadFromServer` are built on the deleted `setThread`, so rebasing
fork/changes onto this layer must re-express them against the reducer
(split the batch at the reload point, then re-enter `applyItems` with the
remainder).

Co-authored-by: T3 Code PR Stack <41898282+github-actions[bot]@users.noreply.github.com>
patroza added a commit to patroza/t3code that referenced this pull request Aug 5, 2026
… (#328)

Imported from pingdotgg#5344 at source SHA
783fd02 (commits b623dc2 + 783fd02
squashed into one provenance commit).

Imported behavior:
- `reduceThreadStreamItems`, a pure reducer that folds a batch of thread
  stream items into one state and one persistable snapshot.
- `Stream.groupedWithin(64, 16ms)` on the live subscription so a burst of
  thread events publishes the `SubscriptionRef` once instead of per event,
  and web/mobile stop rebuilding large thread views per streamed event.
- `eventBatchSize` on `EnvironmentThreadStateOptions`, plus the upstream
  regression tests for ordered single-publication bursts and for persisting
  a settled snapshot when a batch ends with a non-persistable turn start.

Local adaptations:
- Kept our `httpSnapshotLoadAttempted` guard around the HTTP snapshot
  fallback; the call now goes through `applyItems([...])`.
- Restored `setDeleted` (removed upstream) for the terminal
  `thread-deleted` subscription failure, which never reaches the item
  stream and so cannot go through the batch reducer. Cache removal is
  shared with the reducer path via `removeCachedThread`.

Excluded:
- `tasks/todo.md`, the author's scratch checklist.

Follow-up (fork/changes, not this layer): our `reload-required` branch and
`reloadFromServer` are built on the deleted `setThread`, so rebasing
fork/changes onto this layer must re-express them against the reducer
(split the batch at the reload point, then re-enter `applyItems` with the
remainder).

Co-authored-by: T3 Code PR Stack <41898282+github-actions[bot]@users.noreply.github.com>
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