On 20/10/2021 8:57 a.m., Jinsong Zhao wrote:
Hi there,
I have a RData file that is obtained by save.image() with size about
74.0 MB (77,608,222 bytes).
When load into R, I measured the size of each object with object.size():
object.size(combn.rda.m)
105448 bytes
object.size(cross)
102064 bytes
object.size(denitr.1)
25032 bytes
object.size(rda.denitr.1)
600280 bytes
object.size(xh)
7792 bytes
object.size(xh.x)
6064 bytes
object.size(xh.x.1)
24144 bytes
object.size(xh.x.2)
24144 bytes
object.size(xh.x.3)
24144 bytes
object.size(xh.y)
2384 bytes
There are all small objects.
If I delete the largest one "rda.denitr.1", and save.image("xx.RData").
It has the size of 22.6 KB (23,244 bytes). All seem OK.
However, when I save(rda.denitr.1, file = "yy.RData"), then it has the
size of 73.9 MB (77,574,869 bytes).
I don't know why...
Any hint?
As the docs for object.size() say, "Exactly which parts of the memory
allocation should be attributed to which object is not clear-cut." In
particular, if a function or formula has an associated environment, it
isn't included, but it is sometimes saved in the image.
So I'd suspect rda.denitr.1 contains something that references an
environment, and it's an environment that would be saved. (I forget the
exact rules, but I think that means it's not the global environment and
it's not a package environment.)
Duncan Murdoch
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