useRs-
I'm attempting to scan a more than 1Gb text file and read and store the
values that follow a specific key-phrase that is repeated multiple time
throughout the file. A snippet of the text file I'm trying to read is
attached. The text file is a dumping ground for various aspects of the
performance of the model that generates it. Thus, the location of
information I'm wanting to extract from the file is not in a fixed position
(i.e. it does not always appears in a predictable location, like line 1000,
or 2000, etc.). Rather, the desired values always follow a specific phrase:
" PERCENT DISCREPANCY ="
One approach I took was the following:
library(R.utils)
txt_con<-file(description="D:/MCR_BeoPEST - Copy/MCR.out",open="r")
#The above will need to be altered if one desires to test code on the
attached txt file, which will run much quicker
system.time(num_lines<-countLines("D:/MCR_BeoPEST - Copy/MCR.out"))
#elapsed time on full 1Gb file took about 55 seconds on a 3.6Gh Xeon
num_lines
#14405247
system.time(
for(i in 1:num_lines){
txt_line<-readLines(txt_con,n=1)
if (length(grep(" PERCENT DISCREPANCY =",txt_line))) {
pd<-c(pd,as.numeric(substr(txt_line,70,78)))
}
}
)
#Time took about 5 minutes
The inefficiencies in this approach arise due to reading the file twice
(first to get num_lines, then to step through each line looking for the
desired text).
Is there a way to speed this process up through the use of a ?scan ? I
wan't able to get anything working, but what I had in mind was scan through
the more than 1Gb file and when the keyphrase (e.g. " PERCENT
DISCREPANCY = ") is encountered, read and store the next 13 characters
(which will include some white spaces) as a numeric value, then resume the
scan until the key phrase is encountered again and repeat until the
end-of-the-file marker is encountered. Is such an approach even possible or
is line-by-line the best bet?
http://r.789695.n4.nabble.com/file/n4632558/MCR.out MCR.out
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