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read.xlsx function crashing R Studio

4 messages · Kevin Kowitski, jim holtman, Hadley Wickham +1 more

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Hey everyone,?

? ?I have used read.xlsx in the past rather than XLConnect for importing Excel data to R. ?However, I have been finding now that the read.xlsx function has been causing my R studio to Time out. ?I thought it might be because the R studio I had was out of date so I installed R studio X64 3.3.1 and reinstalled the xlsx package but it is still failing. ?I have been trying to use XLConnect in it's place which has been working, excpet that I am running into memory error:
??????????????Error: OutOfMemoryError (Java): GC overhead limit exceeded
??????
I did some online searching and found an option to increase memory:
??????????????"options(java.parameters = "-Xmx4g" )

but it resulted in this new memory Error:

?????????????Error: OutOfMemoryError (Java): Java heap space

Can anyone provide me with some help on getting the read.xlsx function working?

-Kevin
#
try the openxlsx package


Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.

On Sun, Aug 21, 2016 at 1:30 PM, Kevin Kowitski <k.kowitski at icloud.com>
wrote:

  
  
#
Or readxl.

Hadley
On Mon, Aug 22, 2016 at 5:54 AM, jim holtman <jholtman at gmail.com> wrote:

  
    
7 days later
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Hi Kevin,

Am 21.08.2016 um 19:30 schrieb Kevin Kowitski:
There are interesting alternatives with other packages, as mentioned
before by Jim Holtman and Hadley Wickham.

If there are serious reasons to use the xlsx package, I had success with
the following, somewhat ugly workaround:


# Increase before package loading
options(java.parameters = "-Xmx8000m")
# Java garbage collection function
jgc <- function() .jcall("java/lang/System", method = "gc")
library(xlsx)
# if you like to use ISO dates
options(xlsx.date.format="yyyy-mm-dd")
# ATTENTION:  Loading of package xlsx changes decimal point
# to comma in a German locale
Sys.setlocale(category = "LC_NUMERIC", locale="C")  # UGLY HACK !!!


# Later in your code, i.e. before using addDataFrame(), use
jgc()


HTH,
Rainer Hurling