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...6 5700294 7 5700295 I'm guessing this is because of its use of extents, and probably means I've screwed myself in trying to use bmap in this way. Is that a correct assumption? Is there any other interface into OCFS2 to tell if a block is a "blank" sparse area? thanks, shaya

Is there anyway I can write a script which feed input datasource from stdin and let R process it (maybe frequency report) then output the report to stdout? I can't seem to find much info on documentation or FAQ on this topic. Thanks! Soichi Hayashi ********************************************************************** The information contained in this communication is confidential,

Hello.. I am pretty new for R, but if I understand it correctly, when R read data by doing something like "d <- read.table("/dev/stdin")", it read entire data first then start processing.. Is there anyway I can tweak R around so that it will start processing as data comes and not load everthing on memory at once? The reason for this is because we have a case where

If one is rsyncing a machine without selinux (therefore no security.selinux xattr on each file), to a system that has selinux (even in permissive mode), rsync doesn't play nice. basically selinux seems to make it appear that every file has security.selinux xattr on each file (I think this is virtually if there's no physical attribute, as if one disables selinux, the attribute disappears).

Am I wrong to believe that pxelinux can't use syslinux configurtion files as is? I have a syslinux/isolinux setup that works fine in those environments, lets me boot a root file system based on different criteria. However, when I moved it over to pxelinux, i'm able to have it get an ip address over dhcp, fetch pxelinux.0 over tftp and seemingly fetch 'default' from

Hi. I have asked this question before and Aaron J. Mackey and Tony Plate gave me some great insight but I still can't figure out how to do what I am trying to accomplish. So let me ask again... What I am trying to do is to make R read data from pipe (stdin). Say I have following files on my directory my.dat apple 1 orange 2 grape 3 my.R d <- read.table(