Hi all. I have an issue that I cannot resolve. I am trying to read in lots of
data that are stored in xml files. But after I read them in and copy the
relevant data, then remove the document etc, it doesn't free up the memory.
When I monitor it in windows task manager the memory usage just climbs with each
iteration until R crashes. I can replicate the problem with the small example:
file.name<-"C:\\MyData.xml.gz"
TEMPP<-xmlParse(file.name)
xx <- xmlRoot(TEMPP)
rm(xx)
rm(TEMPP)
gc()
Even though I remove the root node xx and the document TEMPP, the memory usage
remains the same as it was when I first read it in... Any ideas/solutions?
I am using a 32bit version of R 2.14.0 on windows XP, and the latest version of
XML (3.6.1).
Many thanks
Andrew (apologies for the large footer my work appends to all my emails...)
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Today I tried the code on a MacBook and experienced the same problem. Which makes me think there is something wrong with the way I am trying to free up the memory...? Andrew Andrew Gormley wrote> > Hi all. I have an issue that I cannot resolve. I am trying to read in lots > of data that are stored in xml files. But after I read them in and copy > the relevant data, then remove the document etc, it doesn't free up the > memory. When I monitor it in windows task manager the memory usage just > climbs with each iteration until R crashes. I can replicate the problem > with the small example: > file.name<-"C:\\MyData.xml.gz" > TEMPP<-xmlParse(file.name) > xx <- xmlRoot(TEMPP) > rm(xx) > rm(TEMPP) > gc() > > Even though I remove the root node xx and the document TEMPP, the memory > usage remains the same as it was when I first read it in... Any > ideas/solutions? > I am using a 32bit version of R 2.14.0 on windows XP, and the latest > version of XML (3.6.1). > Many thanks > Andrew (apologies for the large footer my work appends to all my > emails...) > > ____________________________________________ > R-help@ mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >-- View this message in context: http://r.789695.n4.nabble.com/Memory-getting-eaten-up-with-XML-tp4163468p4168098.html Sent from the R help mailing list archive at Nabble.com.