Failing to import (relatively) large CSV file with Julia and VSC

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22

The 4 min were to read a CSV file with a 40_000 x 40_000 matrix of floats (30 GB on disk, 6.4 GB on RAM).

Defining the type as Float64 in CSV.File didn’t help in my case.

I will try reading to a matrix tomorrow, instead of a data frame.

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How large such an array is in .csv format depends on the number of digits you save, and on the number of zeros.

Did you start Julia with julia -t auto?

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Thanks Uwe,
I was wrong about the conversion time from CSV to Arrow.
For the record this is what I got for the 30 GB CSV file (on disk) containing a 40_000 x 40_000 square matrix of Float64 (6.4 GB on RAM):

- CSV.File to Dataframe:      3.5 min
- CSV.File to Tables.matrix:  3.2 min
- CSV to arrow conversion:    4.9 min
- Arrow to Tables.matrix       10 s
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25

Many thanks Uwe for your help.
It works perfectly now. The arrow conversion is the easiest and quickest for me.
Thank you again!

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