⚡ Bolt: [Performance] Replace .map with pre-allocated array in RouteMatcher#293
⚡ Bolt: [Performance] Replace .map with pre-allocated array in RouteMatcher#293AhmmedSamier wants to merge 1 commit intomasterfrom
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…atcher 💡 What: Replaced `templateSegments.map(...)` with a pre-allocated array and manual `for` loop in `RouteMatcher.precompute`. 🎯 Why: `RouteMatcher.precompute` is a hot path where `Array.prototype.map()` introduces measurable callback and iterator allocation overhead. 📊 Impact: Expected to speed up route pattern precomputation and URL segment matching by avoiding callback overhead on segment iteration. 🔬 Measurement: Verify via `bun run benchmark` output under the `Route Matcher Benchmarks` section. Co-authored-by: AhmmedSamier <17784876+AhmmedSamier@users.noreply.github.com>
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📝 WalkthroughWalkthroughThis PR optimizes array iteration in Changes
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🧹 Nitpick comments (2)
.jules/bolt.md (1)
1-4: Consider consolidating duplicate “array pre-allocation vs map” learnings.This new note substantially overlaps with Line 6-Line 9 and Line 32-Line 35; keeping a single canonical entry will reduce doc drift.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.jules/bolt.md around lines 1 - 4, Consolidate the duplicate "array pre-allocation vs map" notes in .jules/bolt.md by keeping a single canonical entry (merge the content from the new note referencing RouteMatcher.precompute and the existing entries at lines ~6-9 and ~32-35), remove the redundant paragraphs, and ensure the retained entry mentions using pre-allocated arrays in hot paths (e.g., RouteMatcher.precompute) and the need to disable the sonarjs/array-constructor lint rule when appropriate; update the date or aggregation header if needed to reflect the consolidation.language-server/benchmarks/benchmarks.json (1)
4-343: Consider normalizing metric precision to reduce benchmark diff noise.Rounding persisted benchmark values (for example, fixed 3–4 decimals) would make performance deltas easier to review across PRs.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@language-server/benchmarks/benchmarks.json` around lines 4 - 343, Normalize benchmark numeric precision by rounding all metric fields ("avgMs", "totalMs", "minMs", "maxMs", "p95Ms", "stdDevMs") to a consistent fixed precision (e.g., 3 or 4 decimal places) before persisting benchmarks.json so diffs are smaller and stable; update the code path that serializes/writes these metric objects (the place that constructs the per-benchmark objects with "name" and the above metric keys) to apply Number.toFixed or a rounding helper to each metric value, ensuring totals remain numeric (parse back from strings if needed) and apply the same rounding for every benchmark entry (e.g., "Endpoint Search (Unified)", "Fuzzy Search 'File100'", etc.).
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Nitpick comments:
In @.jules/bolt.md:
- Around line 1-4: Consolidate the duplicate "array pre-allocation vs map" notes
in .jules/bolt.md by keeping a single canonical entry (merge the content from
the new note referencing RouteMatcher.precompute and the existing entries at
lines ~6-9 and ~32-35), remove the redundant paragraphs, and ensure the retained
entry mentions using pre-allocated arrays in hot paths (e.g.,
RouteMatcher.precompute) and the need to disable the sonarjs/array-constructor
lint rule when appropriate; update the date or aggregation header if needed to
reflect the consolidation.
In `@language-server/benchmarks/benchmarks.json`:
- Around line 4-343: Normalize benchmark numeric precision by rounding all
metric fields ("avgMs", "totalMs", "minMs", "maxMs", "p95Ms", "stdDevMs") to a
consistent fixed precision (e.g., 3 or 4 decimal places) before persisting
benchmarks.json so diffs are smaller and stable; update the code path that
serializes/writes these metric objects (the place that constructs the
per-benchmark objects with "name" and the above metric keys) to apply
Number.toFixed or a rounding helper to each metric value, ensuring totals remain
numeric (parse back from strings if needed) and apply the same rounding for
every benchmark entry (e.g., "Endpoint Search (Unified)", "Fuzzy Search
'File100'", etc.).
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📒 Files selected for processing (3)
.jules/bolt.mdlanguage-server/benchmarks/benchmarks.jsonlanguage-server/src/core/route-matcher.ts
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⚡ Bolt: [Performance] Replace .map with pre-allocated array in RouteMatcher
💡 What: Replaced
templateSegments.map(...)with a pre-allocated array and manualforloop inRouteMatcher.precompute.🎯 Why:
RouteMatcher.precomputeis a hot path whereArray.prototype.map()introduces measurable callback and iterator allocation overhead.📊 Impact: Expected to speed up route pattern precomputation and URL segment matching by avoiding callback overhead on segment iteration.
🔬 Measurement: Verify via
bun run benchmarkoutput under theRoute Matcher Benchmarkssection.PR created automatically by Jules for task 9323353101146577012 started by @AhmmedSamier
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Refactor
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