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lazy=true
seems unnecessarily lazy?
#823
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This is a difference of use cases. If you have only a few files it is no problem to keep the file open in the background, but with a few hundred you get memory issues and at some point GDAL cant handle it anymore. |
Aha, didn't realize that case was also a thing. Too used to working with Kerchunk I guess :D We probably need a lot more documentation around |
Yeah, Rasters has a "no open files" policy. I had a lot of issues hitting is open file limits early on. Like 400 and and that's it on Linux. So they are really lazy. We should add a |
Isn't that what |
Yep. It doesn't get around file limits... And it's relying on people using |
sorry to belabour this point - but isn't the point of a finalizer that you don't need to use I get your point about file limits though. Maybe this is something to do only if |
You don't need to use close if you don't care about open files I guess. We could add But what's wrong with using an I never find myself limited by this. I don't really get the use case. (ArchGDAL is also designed to work like this everywhere and prefer closures where possible) |
Currently,
lazy = true
defaults to always creating a FileArray, which means that any read requires re-opening the dataset, and calling GDAL again if using e.g a VRT.Consider this benchmark on a VRT of Copernicus DEM.
dem
is the raster, opened withlazy = true
:That's pretty bad. Now, see what happens when I simply run the benchmark inside
open(dem)
:Users will initially try
lazy = true
, see that the performance is horrible, and move on with their lives - when we could have 2 OOM better performance on reads!Since we have finalizers in Julia, it seems like we could make
lazy = true
at least open the GDAL dataset, andlazy = false
would eagerly read into memory as it currently does? Or is there something I am missing here?The text was updated successfully, but these errors were encountered: