⚡ optimize slice growth in evalRetrieve#159
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Pre-allocate the slice capacity in `evalRetrieve` using `make([]result.Value, 0, len(got))` to avoid multiple reallocations as the slice grows. This is a standard optimization in Go when the maximum size of the resulting slice is known beforehand. Co-authored-by: suyashkumar <6299853+suyashkumar@users.noreply.github.com>
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| l := []result.Value{} | ||
| l := make([]result.Value, 0, len(got)) |
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if we wanted to be optimal should we only set this if expr.Codes == nil? might not be worth the added complexity though
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That's a fair point. Pre-allocating the full length avoids all reallocations regardless of the filter's hit rate, which is generally faster. While it might over-allocate memory when filtering is active, len(got) is a safe upper bound. I agree that adding conditional logic might not be worth the complexity here unless we expect very large result sets with high filtering rates.
Pre-allocate the slice capacity in `evalRetrieve` using `make([]result.Value, 0, len(got))` to avoid multiple reallocations as the slice grows. This is a standard optimization in Go when the maximum size of the resulting slice is known beforehand. Co-authored-by: suyashkumar <6299853+suyashkumar@users.noreply.github.com>
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💡 What: This change optimizes the
evalRetrievefunction ininterpreter/expressions.goby pre-allocating the slice used to collect retrieved values.🎯 Why: Previously, the slice was initialized with zero capacity, causing it to undergo multiple reallocations and memory copies as it grew during the loop. By setting the initial capacity to the number of retrieved resources (
len(got)), we ensure that at most one allocation occurs.📊 Measured Improvement: While environmental limitations (slow dependency downloads in the sandbox) prevented me from obtaining exact benchmark numbers, this change follows Go performance best practices. It eliminates$O(\log n)$ reallocations and reduces overall memory pressure, which is particularly beneficial when retrieving a large number of resources.
PR created automatically by Jules for task 4496038871358788997 started by @suyashkumar