TTFX with DataFrames and CSV

General Usage
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16

I run another test, and I agree with @aplavin : The issue is related to CSV.jl.

@time using CSV, DataFrames

const input="""
time,ping
1,25.7
2,31.8
"""

function read_csv(in)
    io = IOBuffer(in)
    @time file = CSV.File(io)
    @time df = DataFrame(file)
    close(io)
    df
end

df = read_csv(input)

Output:

julia> @time include("bench2.jl")
  3.071134 seconds (7.53 M allocations: 454.289 MiB, 5.26% gc time, 67.56% compilation time)
 11.473243 seconds (2.32 M allocations: 96.563 MiB, 99.98% compilation time)
  0.106111 seconds (166.72 k allocations: 9.127 MiB, 99.85% compilation time)
 19.250656 seconds (56.72 M allocations: 2.479 GiB, 6.03% gc time, 94.79% compilation time)
2×2 DataFrame
 Row │ time   ping    
     │ Int64  Float64 
─────┼────────────────
   1 │     1     25.7
   2 │     2     31.8

11.5 of the 19.25s total time are related to calling CSV.File .

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