You can use this package to convert CSVs to feather and parquet files

using Fread

csv_to_feather(path_to_csv, outpath)
csv_to_parquet(path_to_csv, outpath)

using Pkg
Pkg.add("https://github.com/xiaodaigh/Fread.jl")

You need to make sure you have {data.table} and {feather} installed in your R. E.g. in your R session

install.packages(c("data.table", "feather"))

You should really be using CSV.jl because it performs quite well. I only use Fread.jl for converting data from parquet to feature etc now and not for reading CSVs as CSV.jl is actually really good.

To use the default parameters of fread

using Fread

a = fread(path_to_csv)

To use customised parameters/arguments, you must set them by name using arg = e.g.

using Fread

a = fread(path_to_csv, sep="|", nrows = 50)

The function fread does a few of things

1. Reads the CSV using data.table::fread
2. Saves the data.frame in feather format
3. Loads the feather file into Julia as a DataFrame

Step 2 creates a feather file which you can set the location of by using a 2nd unnamed argument .e.g.

fread(path_to_csv, "path/to/out.feather")

by default the feather output path is path_to_csv*".feather i.e. with the feather extension attached to the input file.