Rui:

Quick follow-up -- it looks like seek does do what I want (I see Simon
suggested it some time ago) -- what do mean by "trash your disk"?  What I'm
trying to accomplish is getting parallel, asynchronous writes to a large
binary image (just a binary file) working.  Each node writes to a different
sector of the file via mmap, "filling in" the values as the process runs,
but the file needs to be pre-created before I can mmap it.  Running a
writeBin with a bunch of 0s would mean I'd basically have to write the file
twice, but the seek/ff trick seems to be much faster.

Do I risk doing some damage to my filesystem if I use seek?  I see there is
a strongly worded warning in the help for ?seek:

"Use of seek on Windows is discouraged. We have found so many errors in the
Windows implementation of file positioning that users are advised to use it
only at their own risk, and asked not to waste the *R* developers' time
with bug reports on Windows' deficiencies." --> there's no detail here on
which errors people have experienced, so I'm not sure if doing something as
simple as just "creating" a file using seek falls under the "discouraging"
category.

As a note, we are trying to work this up on both Windows and *nix systems,
hence our wanting to have a single approach that works on both OSs.

--j


On Thu, Sep 27, 2012 at 3:49 PM, Rui Barradas <ruipbarradas@sapo.pt> wrote:

>  Hello,
>
> If you really need to trash your disk, why not use seek()?
>
> > fl <- file("Test.txt", open = "wb")
> > seek(fl, where = 1024, origin = "start", rw = "write")
> [1] 0
> > writeChar(character(1), fl, nchars = 1, useBytes = TRUE)
> Warning message:
> In writeChar(character(1), fl, nchars = 1, useBytes = TRUE) :
>   writeChar: more characters requested than are in the string - will
> zero-pad
> > close(fl)
>
>
> File "Test.txt" is now 1Kb in size.
>
> Hope this helps,
>
> Rui Barradas
> Em 27-09-2012 20:17, Jonathan Greenberg escreveu:
>
> Folks:
>
> Asked this question some time ago, and found what appeared (at first) to be
> the best solution, but I'm now finding a new problem.  First off, it seemed
> like ff as Jens suggested worked:
>
> # outdata_ncells = the number of rows * number of columns * number of bands
> in an image:
> out<-ff(vmode="double",length=outdata_ncells,filename=filename)
> finalizer(out) <- close
> close(out)
>
> This was working fine until I attempted to set length to a VERY large
> number: outdata_ncells = 17711913600.  This would create a file that is
> 131.964GB.  Big, but not obscenely so (and certainly not larger than the
> filesystem can handle).  However, length appears to be restricted
> by .Machine$integer.max (I'm on a 64-bit windows box):
>
>  .Machine$integer.max
>
>  [1] 2147483647
>
> Any suggestions on how to solve this problem for much larger file sizes?
>
> --j
>
>
> On Thu, May 3, 2012 at 10:44 AM, Jonathan Greenberg <jgrn@illinois.edu> <jgrn@illinois.edu>wrote:
>
>
>  Thanks, all!  I'll try these out.  I'm trying to work up something that is
> platform independent (if possible) for use with mmap.  I'll do some tests
> on these suggestions and see which works best. I'll try to report back in a
> few days.  Cheers!
>
> --j
>
>
>
> 2012/5/3 "Jens Oehlschlägel" <jens.oehlschlaegel@truecluster.com> <jens.oehlschlaegel@truecluster.com>
>
>  Jonathan,
>
> On some filesystems (e.g. NTFS, see below) it is possible to create
> 'sparse' memory-mapped files, i.e. reserving the space without the cost of
> actually writing initial values.
> Package 'ff' does this automatically and also allows to access the file
> in parallel. Check the example below and see how big file creation is
> immediate.
>
> Jens Oehlschlägel
>
>
>
>  library(ff)
> library(snowfall)
> ncpus <- 2
> n <- 1e8
> system.time(
>
>  + x <- ff(vmode="double", length=n, filename="c:/Temp/x.ff")
> + )
>        User      System verstrichen
>        0.01        0.00        0.02
>
>  # check finalizer, with an explicit filename we should have a 'close'
>
>  finalizer
>
>  finalizer(x)
>
>  [1] "close"
>
>  # if not, set it to 'close' inorder to not let slaves delete x on slave
>
>  shutdown
>
>  finalizer(x) <- "close"
> sfInit(parallel=TRUE, cpus=ncpus, type="SOCK")
>
>  R Version:  R version 2.15.0 (2012-03-30)
>
> snowfall 1.84 initialized (using snow 0.3-9): parallel execution on 2
> CPUs.
>
>
>  sfLibrary(ff)
>
>  Library ff loaded.
> Library ff loaded in cluster.
>
> Warnmeldung:
> In library(package = "ff", character.only = TRUE, pos = 2, warn.conflicts
> = TRUE,  :
>   'keep.source' is deprecated and will be ignored
>
>  sfExport("x") # note: do not export the same ff multiple times
> # explicitely opening avoids a gc problem
> sfClusterEval(open(x, caching="mmeachflush")) # opening with
>
>  'mmeachflush' inststead of 'mmnoflush' is a bit slower but prevents OS
> write storms when the file is larger than RAM
> [[1]]
> [1] TRUE
>
> [[2]]
> [1] TRUE
>
>
>  system.time(
>
>  + sfLapply( chunk(x, length=ncpus), function(i){
> +   x[i] <- runif(sum(i))
> +   invisible()
> + })
> + )
>        User      System verstrichen
>        0.00        0.00       30.78
>
>  system.time(
>
>  + s <- sfLapply( chunk(x, length=ncpus), function(i) quantile(x[i],
> c(0.05, 0.95)) )
> + )
>        User      System verstrichen
>        0.00        0.00        4.38
>
>  # for completeness
> sfClusterEval(close(x))
>
>  [[1]]
> [1] TRUE
>
> [[2]]
> [1] TRUE
>
>
>  csummary(s)
>
>               5%  95%
> Min.    0.04998 0.95
> 1st Qu. 0.04999 0.95
> Median  0.05001 0.95
> Mean    0.05001 0.95
> 3rd Qu. 0.05002 0.95
> Max.    0.05003 0.95
>
>  # stop slaves
> sfStop()
>
>  Stopping cluster
>
>
>  # with the close finalizer we are responsible for deleting the file
>
>  explicitely (unless we want to keep it)
>
>  delete(x)
>
>  [1] TRUE
>
>  # remove r-side metadata
> rm(x)
> # truly free memory
> gc()
>
>   *Gesendet:* Donnerstag, 03. Mai 2012 um 00:23 Uhr
> *Von:* "Jonathan Greenberg" <jgrn@illinois.edu> <jgrn@illinois.edu>
> *An:* r-help <r-help@r-project.org> <r-help@r-project.org>, r-sig-hpc@r-project.org
> *Betreff:* [R-sig-hpc] Quickest way to make a large "empty" file on
> disk?
>  R-helpers:
>
> What would be the absolute fastest way to make a large "empty" file (e.g.
> filled with all zeroes) on disk, given a byte size and a given number
> number of empty values. I know I can use writeBin, but the "object" in
> this case may be far too large to store in main memory. I'm asking because
> I'm going to use this file in conjunction with mmap to do parallel writes
> to this file. Say, I want to create a blank file of 10,000 floating point
> numbers.
>
> Thanks!
>
> --j
>
> --
> Jonathan A. Greenberg, PhD
> Assistant Professor
> Department of Geography and Geographic Information Science
> University of Illinois at Urbana-Champaign
> 607 South Mathews Avenue, MC 150
> Urbana, IL 61801
> Phone: 415-763-5476
>
> AIM: jgrn307, MSN: jgrn307@hotmail.com, Gchat: jgrn307, Skype: jgrn3007http://www.geog.illinois.edu/people/JonathanGreenberg.html
>
> [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-hpc mailing listR-sig-hpc@r-project.orghttps://stat.ethz.ch/mailman/listinfo/r-sig-hpc
>
>
>  --
> Jonathan A. Greenberg, PhD
> Assistant Professor
> Department of Geography and Geographic Information Science
> University of Illinois at Urbana-Champaign
> 607 South Mathews Avenue, MC 150
> Urbana, IL 61801
> Phone: 415-763-5476
> AIM: jgrn307, MSN: jgrn307@hotmail.com, Gchat: jgrn307, Skype: jgrn3007http://www.geog.illinois.edu/people/JonathanGreenberg.html
>
>
>
> ______________________________________________R-help@r-project.org mailing listhttps://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.
>
>
>


-- 
Jonathan A. Greenberg, PhD
Assistant Professor
Department of Geography and Geographic Information Science
University of Illinois at Urbana-Champaign
607 South Mathews Avenue, MC 150
Urbana, IL 61801
Phone: 217-300-1924
AIM: jgrn307, MSN: jgrn307@hotmail.com, Gchat: jgrn307, Skype: jgrn3007
http://www.geog.illinois.edu/people/JonathanGreenberg.html

	[[alternative HTML version deleted]]

