Allocate child runtime resources lazily - #36
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Runtime performanceMedian of 5 independent benchmark processes on Pull request baseline
Effect Machine change from base
Versions and interpretation
Higher throughput is better; lower idle heap is better. Runtime measurements on shared GitHub-hosted hardware remain informational, so small differences should be confirmed across multiple workflow runs. |
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Type performanceMeasured with TypeScript 6.0.3 and
Marginal instantiations are measured against the matching setup without that API call:
Check times (informational)
Type instantiations are the comparison metric. Check time varies with runner load and is informational only. |
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Summary
Changeset
src/orpackage.jsonValidation
pnpm checkpnpm perf:typespassed)pnpm checkandpnpm perf:typespass. The 181 machine runtime tests also passed five additional consecutive stress runs before the benchmark expansion.The final local A/B used the PR harness for both revisions and the CI ordering: five interleaved full processes per revision. Relative process variability is reported as median absolute deviation.
An earlier independent five-process pass measured the same memory changes, child lookup/delivery at -1.0%, and parent-with-child lifecycle at -3.6%. The combined result identifies a narrow tradeoff: machines that never use child capabilities save 2.7% idle heap and start slightly faster; machines that create a child pay about 1% more combined heap and 2.6-3.6% during family allocation/teardown, while steady-state child lookup and delivery remain flat.
The GitHub runner reproduced the result across five processes: planning +1.3%, unobserved burst +2.2%, observed burst +0.9%, child lookup/delivery -0.0%, no-child start/stop +3.0%, parent-with-child start/stop -1.5%, idle heap -2.7%, and parent-with-child heap +1.0%. All required checks pass.