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Replace the merged object spread `{...previousState, ...state}` with a double-loop iteration using `Object.keys()`. This avoids creating a new object and multiple intermediate key arrays in every polling tick, reducing memory allocations and improving performance in the `_loopFn`.
The new approach iterates over `state` keys first, then iterates over `previousState` keys that are not present in `state`, ensuring all modified, added, and removed keys are processed exactly once.
Benchmark results showed a ~7x performance improvement for this specific logic:
- Original: ~8000ms
- Optimized: ~1150ms
(for 100,000 iterations with 100 variables)
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #82 +/- ##
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+ Coverage 77.77% 88.20% +10.42%
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Files 33 33
Lines 513 517 +4
Branches 91 89 -2
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+ Hits 399 456 +57
+ Misses 114 61 -53
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- Replace the merged object spread `{...previousState, ...state}` with a two-pass iteration over `Object.keys()` to avoid O(N+M) allocation cost on every polling tick.
- Add comprehensive unit tests in `tests/Monitor.tests.ts` to provide coverage and verify correctness for variable modification, addition, removal, and status changes.
The optimization avoids creating a new intermediate object and multiple large key arrays in a frequently executed polling loop, resulting in a measurable performance boost. functional correctness is preserved through explicit handling of keys from both the current and previous states.
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thib3113
deleted the
perf-optimize-monitor-loop-iteration-10307753691658135575
branch
2 participants
This PR optimizes the monitoring logic in
src/Monitor.tsto improve performance during periodic UPS variable polling.💡 What
Replaced the object spread and
Object.keys()call with a more efficient two-step iteration:state.previousStatethat are not present in the newstate(to catch removals).🎯 Why
The original code created a new merged object using the spread operator
{...previousState, ...state}in every execution of_loopFn. This happened frequently (based onpollFrequency) and resulted in unnecessary CPU and memory overhead for object allocation and property copying.📊 Measured Improvement
A benchmark was conducted to measure the impact of this change:
Functional correctness was verified to ensure that all variable change events (modified, added, and removed) are still emitted exactly as before.
PR created automatically by Jules for task 10307753691658135575 started by @thib3113