Comments (4)
Thank you for your bug report!
It is true that @astable
will be slower outside of a function. The reason is that DataFramesMeta.jl creates anonymous functions which and calling them requires specialization on input and output type. For the @astable
behavior, the output type is complicated, as the names and values are stored in type information of a NamedTuple
.
That said, I can't replicate your issue on version 1.9. I get roughly comparable timings.
julia> @time @chain df begin
@rtransform @astable begin
b = :a * 10
c = mean(b)
:d = b - c
end
end;
0.052417 seconds (64.17 k allocations: 3.484 MiB, 97.60% compilation time)
julia> @time @chain df begin
@rtransform(:b = :a * 10)
@rtransform(:c = mean(:b))
@rtransform(:d = :b - :c)
@select(:a, :d)
end;
0.045937 seconds (45.52 k allocations: 3.869 MiB, 96.93% compilation time)
Can you double check your measurements and give me your version info?
from dataframesmeta.jl.
So I double checked the results and found something potentially interesting!
In the REPL I get a similar timing just as you, but the above timings came from running inside a Pluto notebook.
To triple check I ran the above in a Pluto notebook, and there you get the 40x slow down again.
Seems like the issue is using @astable
outside a function in a Pluto notebook.
Here is my version info
Julia Version 1.9.3
Commit bed2cd540a1 (2023-08-24 14:43 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: macOS (x86_64-apple-darwin22.4.0)
CPU: 12 × Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, skylake)
Threads: 6 on 12 virtual cores
Environment:
JULIA_DEPOT_PATH = /Users/xxx/.julia:/Applications/Julia-1.9.app/Contents/Resources/julia/local/share/julia:/Applications/Julia-1.9.app/Contents/Resources/julia/share/julia
JULIA_LOAD_PATH = @:@v#.#:@stdlib
JULIA_REVISE_WORKER_ONLY = 1
from dataframesmeta.jl.
That's pretty frustrating. Can you post an issue with Pluto.jl? (Or their internal tracker or whatever they use) and I can cross-link with this issue?
from dataframesmeta.jl.
Bumping this @mbataillou did you ever file an issue with Pluto.jl?
from dataframesmeta.jl.
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from dataframesmeta.jl.