![]() ![]() Sometimes data.table can be used to maximize speed and minimize transactional memory usage. Sometimes it requires scaling to bigger hardware or SQL. Sometimes it requires rethinking what you're trying to do. If you are still running out of memory, there is not one solution. The same size explosion can happen if you have lots of the same level in both with otherwise different rows, but NAs are a common culprit. You can drop NAs in the join by setting the incomparables parameter: merge(ame(x = c(1, NA, NA)), If you've got a few hundred or thousand NAs, that can lead to your data getting very big very fast. If the columns by which you are joining have NAs, by default R will do a Cartesian (or "cross") join, which multiplies those rows: merge(ame(x = c(1, NA, NA)), One thing to consider is what's happening with any NA values. If you don't need any columns, drop them.Īll that done, joins can still occasionally blow up the size of your data. If you're going to call unique, do it beforehand. In any case I would check that your RAID 10 was actually healthy - the symptoms here would make me suspect it wasn't able to write as fast as it should be.Firstly, try to make your data as small as possible so as to conserve memory. That said 38Meg/sec isn't abnormal either if there's any other traffic flowing in or out of either the client or server or (as is more likely) that rate is mostly limited by the speed of your local laptop hard drive. The odd thing here is that if it is a solid, well-configured GigE link then you could hit network transfer rates reaching 70Meg/sec (and maybe a bit higher) for a sustained copy of a large file like this. However even though your target OS is a bit old the hardware isn't all that weak and a RAID 10 setup with 4x7.2K SATA drives should be good for somewhere between 60 and 120Meg/sec write speed which is significantly higher than the 39Meg/sec Vista is reporting for your copy. The performance graph you posted looks like this issue and I have seen exactly this sort of behavior in the past where I had a target system with very slow disks and a fast network. #KMS COPYIMAGE MEMORY EXHAUSTED WINDOWS#Mark Russinovich has some details on the ways this might happen in this article on changes made in Windows Vista's file copy mechanisms. There are known issues with the Network File Copy processes on W2K - if the remote system can't empty the write cache faster than the rate the file data is arriving in over the network then it will steadily consume all physical memory on the server if the file is big enough. Here is a screen shot of some perfmon counters I had open just as the server runs out of memory. Is there anything else I can look at while the server is running? As it's in use and not really affected by small file copies I can't reboot it just yet. When I copy the same 6GB file here the amount of available memory doesn't change. We have another server, Windows 2000 SP4 with 2GB Ram, 2.8Ghz Intel Quad Core, 6 x 300Gb 15k SAS in raid 10. I've changed the "File and Print Sharing for Microsoft Networks" options to balanced. I've removed the antivirus which made had no impact. Memory usage graph + info right after copy stopped (Apparently I can't post images so a link will have to do)Īs soon as I stop the copy the memory instantly frees up: Other precautions Return the exhausted toner container and waste toner box to your dealer or service representative. This server is a Windows 2000 sp4 machine, its a Dell 2950 with 1GB ram (Note: I am sure this server had more than 1GB!, I can't physically check until the end of the day when I can power it down), 3GHz Xeon proc, 4 x 250Gb 7.5k RPM SATA drives in raid 10 and a 1 Gigabit NIC connected to a 1GB port on an intel managed switch. #KMS COPYIMAGE MEMORY EXHAUSTED PATCH#This has only started recently, maybe since patch Tuesday although I can't be sure. In Australia, ss 353-15(1)(a) and (b) of the TAA Cth specifically limit the. ![]() When I copy a large file (Approx 6GB) from my laptop to one of our older fileservers the server runs out of memory after a few seconds. Computers include: modern constant memory tills and other Point of Sale. I have a strange issue that appears to have started recently. ![]()
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