JuliaArrays / JuliaArrays/StaticArrays.jl
`SVector(x...)` slower than `SA[x...]` when `x` is a DataFrameRow
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Description
I'm seeing 2x slowdown when using SVector() with a DataFrameRow vs. SA[]
using BenchmarkTools, DataFrames
zzz = DataFrame(:x => [1], :y => [2])
@btime SA[zzz[1, :]...] # 377.735 ns (4 allocations: 160 bytes)
@btime SVector(zzz[1, :]...) # 697.619 ns (6 allocations: 224 bytes)
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Research direction
Start by reproducing the BenchmarkTools example with DataFrames, comparing SA[zzz[1, :]...] and SVector(zzz[1, :]...). Trace the two splatting paths in StaticArrays.jl and identify why the DataFrameRow case allocates more; done means the benchmark no longer shows the reported slowdown without changing the result.
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Assessment
- Tech stack
- julia
- Domain
- performance
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100