Hi,
Im trying to read files like
https://bulk.meteostat.net/v2/hourly/2022/08554.csv.gz
in my Julia wrapper. The point is that, although I'm kind off succeeding, the
hole operation is very slow.
What I'm doing (code not committed yet so can't post a link) is to read like
this
layer = getlayer(dataset, 0)
for f in layer
for k = 1: Gdal.nfield(f)
Gdal.getfield(f, k-1)
...
This works but it's extremely slow because each "getfield" takes about 1e-4
seconds and the file has ~8 k rows, each with 13 fields. That amounts to > 10
sec.
I've searched but couldn't find a way to read the entire file at once (which
takes 1e-2 seconds if I read it, locally, with a gzip wrapper) and return it as
a single string array that I could parse later.
Is that possible?
Thanks
Joaquim
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