Reduce allocations #266
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Reduce allocations #266
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rafaqz
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ararslan
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Oct 26, 2022
| @@ -53,22 +53,26 @@ end | |||
| _missing_omit(x::AbstractVector{T}) where T = copyto!(similar(x, nonmissingtype(T)), x) | |||
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If I recall, the fact that this makes a copy even if T doesn't allow Missing was intentional to ensure that every column gets copied and downstream users of this function can mutate the result without worrying about affecting the original data. If we don't care about that, we can do
Suggested change
| _missing_omit(x::AbstractVector{T}) where T = copyto!(similar(x, nonmissingtype(T)), x) | |
| _missing_omit(x::AbstractVector{T}) where {T>:Missing} = copyto!(similar(x, nonmissingtype(T)), x) | |
| _missing_omit(x::AbstractVector{T}) where {T} = x |
without needing any other changes.
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This PR reduces array allocations for some nice performance improvements. It makes
missing_omit_maybe_missing_omit, which does nothing when none of the columns haveMissingeltypes.I suspect
modelcolscan be much further optimized by reallocating and using a loop rather thanreduce(vcat, x). I may add that too - this the main performance bottleneck after this PR.