Parallel Scan of Large File

Hi Jim,

Thanks for your insight. I used Linux split to split my large file into
smaller partitions. On the server I work on, multipath I/O access is enabled
and we use RAID for storage; thus, I don't think I can put each partition on
a spindle. I'm able to open multiple files at a time into stdin from the
command line:

cat file1.txt | wc -l &
cat file2.txt | wc -l &
cat file3.txt | wc -l &
cat file4.txt | wc -l &

But I'm still not sure how to read each partition in parallel. When I run
this code, it doesn't run in parallel, instead file.list gets filled with 1
cpu doing all the work.

R> library(doMC)
R> files <- Sys.glob("x*")                                             #
Grabs all the file partitions created by split
R> file.list <- lapply(files,function(x){file(x,"r")})               #
Creates all the file partitions connections
R> master <- foreach (i = icount(length(open))) %dopar% # Attempt at
parallel readLines
+{
+	readLines(file.list[[i]],1000000)
+}

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