Hi Jason, did you have some time to check if you can reproduce the high memory usage? I am not sure if I should create a bug report for this or if this is expected behaviour. Cheers Nick On Monday, May 08, 2017 08:55:55 AM you wrote: > Thanks. One more question: was the image a clone or a stand-alone image? > > On Fri, May 5, 2017 at 2:42 AM, nick <nick@xxxxxxx> wrote: > > Hi, > > I used one of the fio example files and changed it a bit: > > > > """ > > # This job file tries to mimic the Intel IOMeter File Server Access > > Pattern > > [global] > > description=Emulation of Intel IOmeter File Server Access Pattern > > randrepeat=0 > > filename=/root/test.dat > > # IOMeter defines the server loads as the following: > > # iodepth=1 Linear > > # iodepth=4 Very Light > > # iodepth=8 Light > > # iodepth=64 Moderate > > # iodepth=256 Heavy > > iodepth=8 > > size=80g > > direct=0 > > ioengine=libaio > > > > [iometer] > > stonewall > > bs=4M > > rw=randrw > > > > [iometer_just_write] > > stonewall > > bs=4M > > rw=write > > > > [iometer_just_read] > > stonewall > > bs=4M > > rw=read > > """ > > > > Then let it run: > > $> while true; do fio stress.fio; rm /root/test.dat; done > > > > I had this running over a weekend. > > > > Cheers > > Sebastian > > > > On Tuesday, May 02, 2017 02:51:06 PM Jason Dillaman wrote: > >> Can you share the fio job file that you utilized so I can attempt to > >> repeat locally? > >> > >> On Tue, May 2, 2017 at 2:51 AM, nick <nick@xxxxxxx> wrote: > >> > Hi Jason, > >> > thanks for your feedback. I did now some tests over the weekend to > >> > verify > >> > the memory overhead. > >> > I was using qemu 2.8 (taken from the Ubuntu Cloud Archive) with librbd > >> > 10.2.7 on Ubuntu 16.04 hosts. I suspected the ceph rbd cache to be the > >> > cause of the overhead so I just generated a lot of IO with the help of > >> > fio in the VMs (with a datasize of 80GB) . All VMs had 3GB of memory. I > >> > had to run fio multiple times, before reaching high RSS values. > >> > I also noticed that when using larger blocksizes during writes (like > >> > 4M) > >> > the memory overhead in the KVM process increased faster. > >> > I ran several fio tests (one after another) and the results are: > >> > > >> > KVM with writeback RBD cache: max. 85% memory overhead (2.5 GB > >> > overhead) > >> > KVM with writethrough RBD cache: max. 50% memory overhead > >> > KVM without RBD caching: less than 10% overhead all the time > >> > KVM with local storage (logical volume used): 8% overhead all the time > >> > > >> > I did not reach those >200% memory overhead results that we see on our > >> > live > >> > cluster, but those virtual machines have a way longer uptime as well. > >> > > >> > I also tried to reduce the RSS memory value with cache dropping on the > >> > physical host and in the VM. Both did not lead to any change. A reboot > >> > of > >> > the VM also does not change anything (reboot in the VM, not a new KVM > >> > process). The only way to reduce the RSS memory value is a live > >> > migration > >> > so far. Might this be a bug? The memory overhead sounds a bit too much > >> > for me. > >> > > >> > Best Regards > >> > Sebastian > >> > > >> > On Thursday, April 27, 2017 10:08:36 AM you wrote: > >> >> I know we noticed high memory usage due to librados in the Ceph > >> >> multipathd checker [1] -- the order of hundreds of megabytes. That > >> >> client was probably nearly as trivial as an application can get and I > >> >> just assumed it was due to large monitor maps being sent to the client > >> >> for whatever reason. Since we changed course on our RBD iSCSI > >> >> implementation, unfortunately the investigation into this high memory > >> >> usage fell by the wayside. > >> >> > >> >> [1] > >> >> http://git.opensvc.com/gitweb.cgi?p=multipath-tools/.git;a=blob;f=libm > >> >> ult > >> >> ip > >> >> ath/checkers/rbd.c;h=9ea0572f2b5bd41b80bf2601137b74f92bdc7278;hb=HEAD > >> >> > >> >> On Thu, Apr 27, 2017 at 5:26 AM, nick <nick@xxxxxxx> wrote: > >> >> > Hi Christian, > >> >> > thanks for your answer. > >> >> > The highest value I can see for a local storage VM in our > >> >> > infrastructure > >> >> > is a memory overhead of 39%. This is big, but the majority (>90%) of > >> >> > our > >> >> > local storage VMs are using less than 10% memory overhead. > >> >> > For ceph storage based VMs this looks quite different. The highest > >> >> > value I > >> >> > can see currently is 244% memory overhead. So that specific > >> >> > allocated > >> >> > 3GB > >> >> > memory VM is using now 10.3 GB RSS memory on the physical host. This > >> >> > is > >> >> > a > >> >> > really huge value. In general I can see that the majority of the > >> >> > ceph > >> >> > based VMs has more than 60% memory overhead. > >> >> > > >> >> > Maybe this is also a bug related to qemu+librbd. It would be just > >> >> > nice > >> >> > to > >> >> > know if other people are seeing those high values as well. > >> >> > > >> >> > Cheers > >> >> > Sebastian > >> >> > > >> >> > On Thursday, April 27, 2017 06:10:48 PM you wrote: > >> >> >> Hello, > >> >> >> > >> >> >> Definitely seeing about 20% overhead with Hammer as well, so not > >> >> >> version > >> >> >> specific from where I'm standing. > >> >> >> > >> >> >> While non-RBD storage VMs by and large tend to be closer the > >> >> >> specified > >> >> >> size, I've seen them exceed things by few % at times, too. > >> >> >> For example a 4317968KB RSS one that ought to be 4GB. > >> >> >> > >> >> >> Regards, > >> >> >> > >> >> >> Christian > >> >> >> > >> >> >> On Thu, 27 Apr 2017 09:56:48 +0200 nick wrote: > >> >> >> > Hi, > >> >> >> > we are running a jewel ceph cluster which serves RBD volumes for > >> >> >> > our > >> >> >> > KVM > >> >> >> > virtual machines. Recently we noticed that our KVM machines use a > >> >> >> > lot > >> >> >> > more > >> >> >> > memory on the physical host system than what they should use. We > >> >> >> > collect > >> >> >> > the data with a python script which basically executes 'virsh > >> >> >> > dommemstat > >> >> >> > <virtual machine name>'. We also verified the results of the > >> >> >> > script > >> >> >> > with > >> >> >> > the memory stats of 'cat /proc/<kvm PID>/status' for each virtual > >> >> >> > machine > >> >> >> > and the results are the same. > >> >> >> > > >> >> >> > Here is an excerpt for one pysical host where all virtual > >> >> >> > machines > >> >> >> > are > >> >> >> > running since yesterday (virtual machine names removed): > >> >> >> > > >> >> >> > """ > >> >> >> > overhead actual percent_overhead rss > >> >> >> > ---------- -------- ---------------- -------- > >> >> >> > 423.8 MiB 2.0 GiB 20 2.4 GiB > >> >> >> > 460.1 MiB 4.0 GiB 11 4.4 GiB > >> >> >> > 471.5 MiB 1.0 GiB 46 1.5 GiB > >> >> >> > 472.6 MiB 4.0 GiB 11 4.5 GiB > >> >> >> > 681.9 MiB 8.0 GiB 8 8.7 GiB > >> >> >> > 156.1 MiB 1.0 GiB 15 1.2 GiB > >> >> >> > 278.6 MiB 1.0 GiB 27 1.3 GiB > >> >> >> > 290.4 MiB 1.0 GiB 28 1.3 GiB > >> >> >> > 291.5 MiB 1.0 GiB 28 1.3 GiB > >> >> >> > 0.0 MiB 16.0 GiB 0 13.7 GiB > >> >> >> > 294.7 MiB 1.0 GiB 28 1.3 GiB > >> >> >> > 135.6 MiB 1.0 GiB 13 1.1 GiB > >> >> >> > 0.0 MiB 2.0 GiB 0 1.4 GiB > >> >> >> > 1.5 GiB 4.0 GiB 37 5.5 GiB > >> >> >> > """ > >> >> >> > > >> >> >> > We are using the rbd client cache for our virtual machines, but > >> >> >> > it > >> >> >> > is > >> >> >> > set > >> >> >> > to only 128MB per machine. There is also only one rbd volume per > >> >> >> > virtual > >> >> >> > machine. We have seen more than 200% memory overhead per KVM > >> >> >> > machine > >> >> >> > on > >> >> >> > other physical machines. After a live migration of the virtual > >> >> >> > machine > >> >> >> > to > >> >> >> > another host the overhead is back to 0 and increasing slowly back > >> >> >> > to > >> >> >> > high > >> >> >> > values. > >> >> >> > > >> >> >> > Here are our ceph.conf settings for the clients: > >> >> >> > """ > >> >> >> > [client] > >> >> >> > rbd cache writethrough until flush = False > >> >> >> > rbd cache max dirty = 100663296 > >> >> >> > rbd cache size = 134217728 > >> >> >> > rbd cache target dirty = 50331648 > >> >> >> > """ > >> >> >> > > >> >> >> > We noticed this behavior since we are using the jewel librbd > >> >> >> > libraries. > >> >> >> > We > >> >> >> > did not encounter this behavior when using the ceph infernalis > >> >> >> > librbd > >> >> >> > version. We also do not see this issue when using local storage, > >> >> >> > instead > >> >> >> > of ceph. > >> >> >> > > >> >> >> > Some version information of the physical host which runs the KVM > >> >> >> > machines: > >> >> >> > """ > >> >> >> > OS: Ubuntu 16.04 > >> >> >> > kernel: 4.4.0-75-generic > >> >> >> > librbd: 10.2.7-1xenial > >> >> >> > """ > >> >> >> > > >> >> >> > We did try to flush and invalidate the client cache via the ceph > >> >> >> > admin > >> >> >> > socket, but this did not change any memory usage values. > >> >> >> > > >> >> >> > Does anyone encounter similar issues or does have an explanation > >> >> >> > for > >> >> >> > the > >> >> >> > high memory overhead? > >> >> >> > > >> >> >> > Best Regards > >> >> >> > Sebastian > >> >> > > >> >> > -- > >> >> > Sebastian Nickel > >> >> > Nine Internet Solutions AG, Albisriederstr. 243a, CH-8047 Zuerich > >> >> > Tel +41 44 637 40 00 | Support +41 44 637 40 40 | www.nine.ch > >> >> > _______________________________________________ > >> >> > ceph-users mailing list > >> >> > ceph-users@xxxxxxxxxxxxxx > >> >> > http://lists.ceph.com/listinfo.cgi/ceph-users-ceph.com > >> > > >> > -- > >> > Sebastian Nickel > >> > Nine Internet Solutions AG, Albisriederstr. 243a, CH-8047 Zuerich > >> > Tel +41 44 637 40 00 | Support +41 44 637 40 40 | www.nine.ch > > > > -- > > Sebastian Nickel > > Nine Internet Solutions AG, Albisriederstr. 243a, CH-8047 Zuerich > > Tel +41 44 637 40 00 | Support +41 44 637 40 40 | www.nine.ch -- Sebastian Nickel Nine Internet Solutions AG, Albisriederstr. 243a, CH-8047 Zuerich Tel +41 44 637 40 00 | Support +41 44 637 40 40 | www.nine.ch
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