Dear R wizards, I'm running analyses on entries residing in the database. A FOR loop brings in entries in batches and populates a DataFrame with them.
That is, on each run of the for loop, the DF is re-populated with values. I soon noticed that as the processes goes on, R's computation speed decreases. UNIX's "top" shows a slow increment in memory usage, and R's gc() shows a constant increase in the Vcells-gc_trigger value. When I manually rm() the populated dataframe at the end of each loop, there is no increase in memory usage -- everything is completely stable. Is this normal behavior for R? Cheers, Uri Hasson. ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
