perf(ssr-query): Batch streamed query dehydration - #8131
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Streaming each completed query separately repeatedly scanned the whole query cache and emitted one payload per query. Collect same-turn query hashes and dehydrate them in one pass. Queries that finish later still stream separately. Co-Authored-By: OpenAI Codex <noreply@openai.com>
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Included review availability: Your plan provides up to 10 included reviews per hour; 8 remain after this review. 📝 WalkthroughWalkthroughServer-side query streaming now batches completed query hashes by scheduler turn, dehydrates matching queries in one update, and enqueues the batch. Teardown clears pending state, and final dehydration flushes before stream closure. Tests now use real typed routers and SSR utilities. ChangesSSR query streaming
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: ⚪ Minimal · up to This change batches completed SSR queries to reduce response chunks and repeated cache work. No actionable merge-blocking risk remains after normal checks and review. Sequence Diagram(s)sequenceDiagram
participant QueryClient
participant notifyManager
participant SSRQueryStream
QueryClient->>notifyManager: schedule completed query hashes
notifyManager->>QueryClient: flush hashes for the scheduler turn
QueryClient->>SSRQueryStream: dehydrate and enqueue one query batch
QueryClient->>SSRQueryStream: flush pending queries before close
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Merging this PR will degrade performance by 5.31%
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| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ❌ | Memory | mem server error-paths redirect (vue) |
425.4 KB | 628.2 KB | -32.29% |
| ❌ | Memory | mem client unique-location-churn (solid) |
278.7 KB | 378.2 KB | -26.3% |
| ❌ | Memory | mem server error-paths unmatched (react) |
444.2 KB | 524.5 KB | -15.31% |
| ❌ | Memory | mem server error-paths not-found (solid) |
610.9 KB | 701 KB | -12.85% |
| ❌ | Simulation | client-nested-params navigation loop (react) |
211.1 ms | 227.2 ms | -7.08% |
| ❌ | Memory | mem server server-fn-churn (vue) |
323.3 KB | 346.5 KB | -6.7% |
| ❌ | Memory | mem server error-paths redirect (solid) |
364 KB | 382.5 KB | -4.82% |
| ⚡ | Memory | mem server peak-large-page (solid) |
1.2 MB | 1 MB | +18.37% |
| ⚡ | Memory | mem server error-paths not-found (react) |
449.2 KB | 409.4 KB | +9.7% |
| ⚡ | Memory | mem server request-churn (react) |
712.1 KB | 671.1 KB | +6.11% |
| ⚡ | Memory | mem server error-paths not-found (vue) |
521.7 KB | 491.8 KB | +6.08% |
| ⚡ | Memory | mem server error-paths redirect (react) |
305.2 KB | 287.8 KB | +6.03% |
| ⚡ | Simulation | client-async-pipeline navigation loop (react) |
107.2 ms | 102.7 ms | +4.38% |
Tip
Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.
Comparing scttcper:scttcper/batch-streamed-queries (84f3c5a) with main (e9f63a6)
Use Query's scheduler so independent I/O callbacks can join the same dehydration batch. Queries that finish in a later scheduler turn still stream separately.\n\nCo-Authored-By: OpenAI Codex <noreply@openai.com>
Keep the historical once-only streaming behavior covered when queries refetch, and verify request cleanup wins over a scheduled batch. Co-Authored-By: OpenAI Codex <noreply@openai.com>
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The CodSpeed Base failure: https://github.com/TanStack/router/actions/runs/32280657076/job/96158388236 Same result on #8130: #8130 (comment) |
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Actionable comments posted: 1
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Inline comments:
In `@packages/router-ssr-query-core/tests/index.test.ts`:
- Line 272: Update the router fixture in the test setup to remove the as any
cast and use an AnyRouter-compatible typed fixture, such as createTestRouter,
while preserving strict type checking so RouterCore member changes remain
detectable.
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Fix all unresolved CodeRabbit comments on this PR:
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ℹ️ Review info
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Configuration used: defaults
Review profile: CHILL
Plan: Pro Plus
Run ID: 168a0280-876f-43d9-9919-a57a81aeeaff
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packages/router-ssr-query-core/src/index.tspackages/router-ssr-query-core/tests/index.test.ts
Included review availability: Your plan provides up to 10 included reviews per hour; 9 remain after this review.
Build the integration fixture with RouterCore so test calls stay type-checked when router members change. Co-Authored-By: OpenAI Codex <noreply@openai.com>
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ignore the codspeed benchmarks please, they are unfortunately not stable |
2 participants
Queries that finish during SSR currently dehydrate and enqueue one at a time, walking the full query cache for every query. This batches queries that finish in the same Query scheduler turn. Later queries still stream separately, pending work flushes when rendering finishes, and cleanup drops anything left over.
Measured with a production TanStack Start SSR route rendering separate
useSuspenseQuerychildren with 20 records each. Before and after requests were interleaved and consumed the full response.Tests cover batching across scheduler turns, refetch deduplication, custom dehydration filters, render completion, and request cleanup.
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