> On 22 Sep 2016, at 18:41, Olivier Merle <[email protected]> wrote:
>
> Dear,
>
> When I use big data for a temporary use it seems that the memory is not
> released when a function/environement is created nearby.
> Here the reproducible exemple:
>
> test<-function(){
> x=matrix(0,50000,10000)
> y=function(nb) nb^2
> return(y)
> }
> xx=test() # 3 Go of Ram is used
> gc() # Memory is not released !! even if x has been destroyed [look into
> software mem used]
Because y is a function and returns with its own environment.
ls(environment(xx)) # x and y objects are still there
> How can I release the data in test without destroying the xx object ? As x
> which is big object is destroyed, I though I could get my memory back but
> it seems that the function y is keeping the x object.
if you do not need the x object in y function then remove it in it’s own
environment as follows;
> test<-function(){
> x=matrix(0,50000,10000)
rm(x)
> y=function(nb) nb^2
> return(y)
> }
or if you need to remove it out of the function;
rm("x", envir = environment(xx))
ls(environment(xx)) # x has gone
If y function uses x somehow, then you will need to live with a big object.
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