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https://issues.apache.org/jira/browse/ARROW-15730?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Christian updated ARROW-15730:
------------------------------
Description:
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 - in total during the load - 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.
was:
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.
> 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
> Priority: Major
> 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 - in total during the load - 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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