Open paulklemm opened 6 years ago
Have you tried with shared = FALSE
or using a filebacked big.matrix
?
@paulklemm, I encountered the same problem in a docker environment as well. But using shared = FALSE
made the bug go away.
This might indicate a memory mapping issue. Can you try creating a much smaller big.matrix
object, like 10x10, and see if you get the same error?
I encountered a reproducible problem when creating
big.matrix
objects using a Debian docker container. The same also happens for a different one running Ubuntu.To reproduce, you only need to take the following steps:
In the interactive
R
session, you run:The last command yields the following error:
The code works on the
R
version on my Mac without problems. The same code in the docker container yielded the described problem. I've also tested the docker container on a Linux machine with over 60GB RAM (which the docker container can access) and the outcome remains the same.@kaneplusplus already asked whether this is a 64-bit Linux.
uname -i
yieldsx86_64
, so this shouldn't be the problem.