jariji commented on issue #473:
URL: https://github.com/apache/arrow-julia/issues/473#issuecomment-1616799800
`Base.summarysize(df)` says 81 GB.
```jl
julia> countmap(eltype.(eachcol(df)))
Dict{Type, Int64} with 14 entries:
Int64 => 7
Union{Missing, String15} => 4
Union{Missing, String127} => 11
Union{Missing, String63} => 3
String15 => 5
Union{Missing, Int64} => 2
String63 => 3
String7 => 6
String127 => 2
Missing => 14
String255 => 1
String31 => 6
Union{Missing, String31} => 5
Union{Missing, String255} => 2
```
It takes ~1 second to write ~1 GB, so naively, writing 81 GB shouldn't take
very long either, but I expect some overhead.
```jl
julia> let r = rand(UInt8, 1024^3)
@time open("data/temp", "w") do f
write(f, r)
end
end;
1.118401 seconds (2.61 k allocations: 190.905 KiB, 0.87% compilation time)
```
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