Why does a 2 GB RData file exceed my 16GB memory limit when reading it in?
On Wed, 2 Sep 2020 13:36:43 +0200
Uwe Ligges <ligges at statistik.tu-dortmund.de> wrote:
On 02.09.2020 04:44, David Jones wrote:
I ran a number of analyses in R and saved the workspace, which resulted in a 2GB .RData file. When I try to read the file back into R
Compressed in RData but uncompressed in main memory....
later, it won't read into R and provides the error: "Error: cannot allocate vector of size 37 Kb" This error comes after 1 minute of trying to read things in - I presume a single vector sends it over the memory limit. But, memory.limit() shows that I have access to a full 16gb of ram on my machine (12 GB are free when I try to load the RData file).
But the data may need more....
gc() shows the following after I receive this error: used (Mb) gc trigger (Mb) max used (Mb) Ncells 623130 33.3 4134347 220.8 5715387 305.3 Vcells 1535682 11.8 883084810 6737.5 2100594002 16026.3
So 16GB were used when R gave up. Best, Uwe Ligges
For my own part, looking at the OP's question, it does seem curious that R could write that .RData file, but on the same system not be able to reload something it created. How would that work. Wouldn't the memory limit have been exceeded BEFORE the the .RData file was written the FIRST time? JDougherty