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...N*T) )) setkey(d, "key"); gc() ## force a garbage collection cat("N=", N, ". ?Size of d=", object.size(d)/1024/1024, "MB\n") print(system.time( s<-split(d, d$key) )) My ordered input data table (or data frame; doesn't make a difference) is 114MB in size. it takes about a second to create. split() only needs to reshape it. this simple operation takes almost 5 minutes on my computer. with a data set that is larger, this explodes further. am I doing something wrong? is there an alternative to split()? sincerely, /iaw ---- Ivo Welch (...

...ran the same things on our CentOS cluster, getting surprisingly high results. I installed a machine from scratch with the CentOS CD (6.2 x64) to be sure another component of the cluster was not playing a role. On this freshly installed machine I get the following results: SH: 103MB PYTHON: 114MB R: 200MB So, compared to the highest of our users (among the 64 bits ones), we have a ratio of ~7, ~3, ~2, respectively. It is very problematic for us because many jobs now cannot run properly, because they lack memory on most of our computing nodes. So we really cannot stand the situ...

Hello, The last weekend, the VM with CentOS 7 (kernel-3.10.0-327.28.2.el7.x86_64) was running with 2.5GB of used memory, but without users connected, and heavy services running. Three minutes after reboot, the o.s. is running with 114MB used. ?Why the 62% of memory is used if the o.s. does not have an intensive load? top sorted by memory: top - 12:55:34 up 8 days, 21:41, 1 user, load average: 0.16, 0.74, 0.49 Tasks: 90 total, 1 running, 89 sleeping, 0 stopped, 0 zombie %Cpu0 : 0.0 us, 0.0 sy, 0.0 ni,100.0 id, 0.0...

hai john, what is the preformance when you copy between the windows computers make sure you test hdd-hdd or sdd-sdd disk. to my experience copien lots of small files is always much lower. i get same results as you. small files copy pc-server is around 3.5-4mb/s, 1 large file i get 110-114mb/s. without changing the default in smb.conf. tested on samba 4.5.3 debian 8 and 4.2.14 sernet samba ubuntu 14.04 why this is exacly is hard for me to explain in english. maybe someone can. pointers are. sector block size of the partiton. for example standard block size 4k, large file copy max...

I'm trying to make a backup using this command rsync -auvH /home/ /bak --delete --bwlimit=1000 --status server load has been increased so much and the server crashed, as well has gone out of memory My Server is a Dual Xeon 2.0 GHz with 2GB of Memory + 1GB Swap. Could be that there are too many files, about 5.000.000, to be backed up ? The way the files are structured make very

Dear R-help, Let's say `x1' and `x2' are very long vectors (length=5e5, say) with same set of names but in different order. If I want to sort `x2' in the order of `x1', I would do x2[names(x1)] but the amount of time that takes is quite prohibitive! Does anyone have any suggestion on a more efficient way to do this? If the two vectors are exactly the same length (as I

Hello, I am having a problem destroying zfs snapshots. The machine is almost not responding for more than 4 hours, after I started the command and I can''t run anything else during that time - I get (bash): fork: Resource temporarily unavailable - errors. The machine is still responding somewhat, but very, very slow. It is: P4, 2.4 GHz with 512 MB RAM, 8 x 750 GB disks as raidZ,

I''ve just uploaded 0.9.11-pre12 of the GPL PV drivers for Windows. Since -pre10 (and -pre11) I''ve fixed a heap of crashes that were plaguing xennet under load, and also rewritten the interrupt/event distribution logic to improve performance. Under windows 2003 I can now get network speeds of 1-2Gbit/second TX and 600Gbit/second RX, which is considerably better than I was

I''ve just uploaded 0.9.11-pre12 of the GPL PV drivers for Windows. Since -pre10 (and -pre11) I''ve fixed a heap of crashes that were plaguing xennet under load, and also rewritten the interrupt/event distribution logic to improve performance. Under windows 2003 I can now get network speeds of 1-2Gbit/second TX and 600Gbit/second RX, which is considerably better than I was