Hi, i'm working with a ~ 250.000 * 150 data.frame and can share your problems - i've upgraded last weekend my notebook from 512MB -> 1024MB, it's really better especially for load, write.table , mysqlReadTable, mysqlWriteTable, because machine begin caching if RAM is full. One example: With 512MB i get after some hours no success write a table to mysql. With 1024MB it does in some minutes.
regards, christian Am Mittwoch, 28. Juli 2004 04:10 schrieb Federico Gherardini: > Hi all, > > I'm trying to read a 1220 * 20000 table in R but I'm having lot of > problems. Basically what it happens is that R.bin starts eating all my > memory until it gets about 90%. At that point it locks itself in a > uninterruptible sleep status (at least that's what top says) where it just > sits there barely using the cpu at all but keeping its tons of memory. I've > tried with read.table and scan but none of them did the trick. I've also > tried some orrible hack like reading one line a time and gradually > combining everything in a matrix using rbind... nope! It seems I can read > up to 500 lines in a *decent* time but nothing more. The machine is a 3 GHz > P4 with HT and 512 MB RAM running R-1.8.1. Will I have to write a little a > C program myself to handle this thing or am I missing something? > > Thanks in advance for your help, > > fede > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
