The format of .RData has not changed, so this is still of interest.
We have seen things like this, the problem being the way an out-of-memory condition got handled by Linux -- how much memory did his machine have?
(Remember 67Mb is compressed, often highly compressed.)
It has certainly been possible to save a workspace that needs much more memory to be restored on the same machine than it originally took.
We've found Linux to be rather unhelpful with out-of-memory conditions: one of our servers started `randomly' killing processes when its swap space got full -- and one of the first was the sshd daemon which cut off all remote access ....
On Tue, 1 Feb 2005, Barry Rowlingson wrote:
I've just had an interesting thing happen to one of our students. He's using R 1.9.1 on Linux, and so I dont expect bugfixes, I'm just reporting this out of interest in case anyone else has had this happen.
Starting R caused a seg fault shortly after "[Previously saved workspace restored]". Running "R --no-restore-data" worked fine so I suspected a corrupted .RData. It was 67M big, with about 400 objects - nothing extreme there. But then doing load(".RData") worked fine. There were his objects. How strange.
I deleted the first 200 objects, saved the .RData, and retried. That worked, so I thought it might have been an object in the last 200 or so. So I saved them to .RData. Starting up with that worked.
So, starting afresh with the original load(".RData"), I saved two .RData files with each part. Quit, start again, load("part1.RData") and load("part2.RData"), then quit and save. Now I had all 400-ish objects in one .RData. Time to start R and see if it can startup with it.
And it did. Worked fine. So I suspect a subtle bug in reading .RData files or subtle corruption in the .RData. Most odd. Oh well, I guess I could see what R 2.x.x does with it....
Barry
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