ssdecontrol ssdecontrol - 1 year ago 51
R Question

read.xlsx takes a very long time and tons of memory

I'm trying to load an .xlsx file into R that has one sheet and is about 31 MB in size.

I run the following

options( java.parameters = "-Xmx6g" )
yt = read.xlsx("big_spreadsheet.xlsx",1)

and I get nothing. My system monitor program shows that the allotted memory slowly fills up and then just stays full. I haven't let it run for hours but ten minutes should be sufficient, especially when I could have just loaded into Numbers (I'm on Mavericks) and saved it as a CSV in that time.

Yes, I have much more than 6 GB of memory. 2 GB doesn't seem to be enough and yields the error:

Error in .jcall("RJavaTools", "Ljava/lang/Object;", "invokeMethod", cl, :
java.lang.OutOfMemoryError: Java heap space

I did, however, make the mistake of letting the
package install its own version of Java. I downloaded JDK 8 after the fact but I have no idea how to check if this is being used.

So why does it take 6 GB of RAM to (fail to) load a 31 MB file? Can I fix this somehow?

Answer Source

I never got this to work. I've lately been using the readxl package for reading from Excel spreadsheets, which has no Java dependency and seems to work just fine.

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