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Posted to issues@arrow.apache.org by "Christian (Jira)" <ji...@apache.org> on 2022/02/18 19:32:00 UTC

[jira] [Created] (ARROW-15730) Memory usage in R

Christian created ARROW-15730:
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             Summary: Memory usage in R
                 Key: ARROW-15730
                 URL: https://issues.apache.org/jira/browse/ARROW-15730
             Project: Apache Arrow
          Issue Type: Bug
          Components: R
            Reporter: Christian
             Fix For: 6.0.1


Hi,

I'm trying to load a ~10gb arrow file into R.

For whatever reason the memory usage blows up to ~110-120gb.

The weird thing is that when deleting the object again and running a gc() the memory usage goes down to 90gb. The delta of ~20-30gb is what I would have expected the dataframe to use up in memory (and that's also approx. what was used when running the old arrow version of 0.15.1. And it is also what R shows me when just printing the object size.)

The commands I'm running are simply:

options(arrow.use_threads=FALSE);

arrow::set_cpu_count(1); # need this - otherwise it freezes under windows

arrow::read_arrow('file.arrow5')

Is arrow reserving some resources in the background and not giving them up again? Are there some settings I need to change for this?

Is this something that is known and fixed in a newer version?

*Note* that this doesn't happen in Linux. There all the resources are freed up when calling the gc() function - not sure if it matters but there I also don't need to set the cpu count to 1.

Any help would be appreciated.



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