chore(json-schema): add JsonSchemaCoercer benchmarks

[dinwwwh]

Adds CodSpeed benchmarks for JsonSchemaCoercer, so coercion performance is tracked alongside the existing serializer and handler benches. Each coercion-heavy scenario is paired with an already-typed variant, making the pass-through overhead visible separately from conversion cost.

Scenarios

• Flat object from query params (integer/boolean/number/date string coercion) vs already typed.
• Complex object mirroring the serializer benches' unit — date, bigint, set, map, url, regexp plus an anyOf union — as parsed JSON vs native instances.
• 1000 complex objects in both forms for array-scale throughput.
• Recursive $ref tree (156 nodes) exercising ref resolution and the cycle guard.

Notes

• Schema fixtures use the same x-native-type shapes the real converters emit, taken from coercer.test.ts.
• Fixtures were verified before benching: string payloads coerce to the expected native types, and already-typed payloads pass through by reference.

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Project	Deployment	Actions	Updated (UTC)
orpc	Ready	Preview	Jul 30, 2026 6:25am

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commit: e896ed0

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

📢 Thoughts on this report? Let us know!

[codspeed-hq]

Merging this PR will not alter performance

✅ 18 untouched benchmarks
🆕 7 new benchmarks

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
🆕	1000 complex objects	N/A	101.6 ms	N/A
🆕	1000 complex objects already typed	N/A	32.8 ms	N/A
🆕	complex object already typed	N/A	130.3 µs	N/A
🆕	complex object with native types	N/A	268.7 µs	N/A
🆕	flat object already typed	N/A	74.5 µs	N/A
🆕	flat object from query params	N/A	105.9 µs	N/A
🆕	recursive $ref tree	N/A	2.2 ms	N/A

---

_{Comparing dinwwwh:claude/benches-json-schema-coercer-111f6c (e896ed0) with main (68f5955)}

[pullfrog]

✅ No new issues found.

Reviewed changes — a single new benchmark file adding CodSpeed coverage for JsonSchemaCoercer.

• Flat and complex object coercion (query-param strings → typed, plus native-type pass-through baselines)
• Array-scale throughput with 1000 complex objects in both string and typed forms
• Recursive $ref tree exercising $ref resolution on a 156-node depth-3/breadth-5 tree

The schemas match the production shapes from coercer.test.ts, every scenario pairs coercion cost with a pass-through baseline, and the file is self-contained.

  ^{｜ View workflow run ｜ Using DeepSeek Pro (free via Pullfrog for OSS) ｜ 𝕏}