Let's do it in two parts: first create all the separate files (which
if this what you are after, we can stop here). You can change the
value on readLines to read in as many lines as you want; I set it to 2
just for testing.
x <- textConnection("APE!KKU!684!
APE!VAL!!
APE!UASU!!
APE!PLA!1!
APE!E!10!
APE!TPVA!17122009!
APE!STAP!1!
GG!KK!KK!
APE!KKU!684!
APE!VAL!!
APE!UASU!!
APE!PLA!1!
APE!E!10!
APE!TPVA!17122009!
APE!STAP!1!
GG!KK!KK!
APE!KKU!684!
APE!VAL!!
APE!UASU!!
APE!PLA!1!
APE!E!10!
APE!TPVA!17122009!
APE!STAP!1!
GG!KK!KK!")
fileNo <- 1 # used for file name
buffer <- NULL
repeat{
input <- readLines(x, n = 100)
if (length(input) == 0) break # done
buffer <- c(buffer, input)
# find separator
repeat{
indx <- which(grepl("^GG!KK!KK!", buffer))[1]
if (is.na(indx)) break # not found yet; read more
writeLines(buffer[1:(indx - 1L)]
, sprintf("newFile%04d", fileNo)
)
buffer <- buffer[-c(1:indx)] # remove data
fileNo <- fileNo + 1
}
}
On Tue, Oct 18, 2011 at 8:12 AM, johannes rara <johannesr...@gmail.com> wrote:
> I have a data set like this in one .txt file (cols separated by !):
>
> APE!KKU!684!
> APE!VAL!!
> APE!UASU!!
> APE!PLA!1!
> APE!E!10!
> APE!TPVA!17122009!
> APE!STAP!1!
> GG!KK!KK!
> APE!KKU!684!
> APE!VAL!!
> APE!UASU!!
> APE!PLA!1!
> APE!E!10!
> APE!TPVA!17122009!
> APE!STAP!1!
> GG!KK!KK!
> APE!KKU!684!
> APE!VAL!!
> APE!UASU!!
> APE!PLA!1!
> APE!E!10!
> APE!TPVA!17122009!
> APE!STAP!1!
> GG!KK!KK!
>
> it contains over 14 000 000 records. Now because I'm out of memory
> when trying to handle this data in R, I'm trying to read it
> sequentially and write it out in several .csv files (or .RData files)
> and then read these into R one-by-one. One record in this data is
> between lines GG!KK!KK! and GG!KK!KK!. I tried to implement Jim
> Holtman's approach
> (http://tolstoy.newcastle.edu.au/R/e6/help/09/03/8416.html) but the
> problem is how to avoid cutting one record from the middle? I mean
> that if I put nrows = 1000000, I don't know if one record (between
> marks GG!KK!KK! and GG!KK!KK! is ending up in two files). How to avoid
> that? My code so far:
>
> zz <- file("myfile.txt", "r")
> fileNo <- 1
> repeat{
>
> gotError <- 1 # set to 2 if there is an error # catch the
> error if not more data
> tryCatch(input <- read.csv(zz, as.is=T, nrows=1000000, sep='!',
> row.names=NULL, na.strings="", header=FALSE),
> error=function(x) gotError <<- 2)
>
> if (gotError == 2) break
> # save the intermediate data
> save(input, file=sprintf("file%03d.RData", fileNo))
> fileNo <- fileNo + 1
> }
> close(zz)
>
> ______________________________________________
> R-help@r-project.org 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.
>
--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
______________________________________________
R-help@r-project.org 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.
