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Posted to solr-user@lucene.apache.org by Markus Jelsma <ma...@openindex.io> on 2017/09/01 21:47:34 UTC
RE: Solr uses lots of shared memory!
Anyone else besides Shawn and me to reproduce this problem? Shawn contacted Oracle off-list but that was useless at best (attach JConsole, watch heap, etc).
Is this a real problem, just a bad reporting issue of the JVM and Linux?
Thanks,
Markus
-----Original message-----
> From:Markus Jelsma <ma...@openindex.io>
> Sent: Thursday 24th August 2017 17:20
> To: solr-user@lucene.apache.org
> Subject: RE: Solr uses lots of shared memory!
>
> Hello Bernd,
>
> According to the man page, i should get a list of stuff in shared memory if i invoke it with just a PID. Which shows a list of libraries that together account for about 25 MB's shared memory usage. Accoring to ps and top, the JVM uses 2800 MB shared memory (not virtual), that leaves 2775 MB unaccounted for. Any ideas? Anyone else to reproduce it on a freshly restarted node?
>
> Thanks,
> Markus
>
>
> PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
> 18901 markus 20 0 14,778g 4,965g 2,987g S 891,1 31,7 20:21.63 java
>
> 0x000055b9a17f1000 6K /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
> 0x00007fdf1d314000 182K /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/libsunec.so
> 0x00007fdf1e548000 38K /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/libmanagement.so
> 0x00007fdf1e78e000 94K /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/libnet.so
> 0x00007fdf1e9a6000 75K /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/libnio.so
> 0x00007fdf5cd6e000 34K /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/libzip.so
> 0x00007fdf5cf77000 46K /lib/x86_64-linux-gnu/libnss_files-2.24.so
> 0x00007fdf5d189000 46K /lib/x86_64-linux-gnu/libnss_nis-2.24.so
> 0x00007fdf5d395000 90K /lib/x86_64-linux-gnu/libnsl-2.24.so
> 0x00007fdf5d5ae000 34K /lib/x86_64-linux-gnu/libnss_compat-2.24.so
> 0x00007fdf5d7b7000 187K /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/libjava.so
> 0x00007fdf5d9e6000 70K /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/libverify.so
> 0x00007fdf5dbf8000 30K /lib/x86_64-linux-gnu/librt-2.24.so
> 0x00007fdf5de00000 90K /lib/x86_64-linux-gnu/libgcc_s.so.1
> 0x00007fdf5e017000 1063K /lib/x86_64-linux-gnu/libm-2.24.so
> 0x00007fdf5e320000 1553K /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.22
> 0x00007fdf5e6a8000 15936K /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so
> 0x00007fdf5f5ed000 139K /lib/x86_64-linux-gnu/libpthread-2.24.so
> 0x00007fdf5f80b000 14K /lib/x86_64-linux-gnu/libdl-2.24.so
> 0x00007fdf5fa0f000 110K /lib/x86_64-linux-gnu/libz.so.1.2.11
> 0x00007fdf5fc2b000 1813K /lib/x86_64-linux-gnu/libc-2.24.so
> 0x00007fdf5fff2000 58K /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/jli/libjli.so
> 0x00007fdf60201000 158K /lib/x86_64-linux-gnu/ld-2.24.so
>
> -----Original message-----
> > From:Bernd Fehling <be...@uni-bielefeld.de>
> > Sent: Thursday 24th August 2017 15:39
> > To: solr-user@lucene.apache.org
> > Subject: Re: Solr uses lots of shared memory!
> >
> > Just an idea, how about taking a dump with jmap and using
> > MemoryAnalyzerTool to see what is going on?
> >
> > Regards
> > Bernd
> >
> >
> > Am 24.08.2017 um 11:49 schrieb Markus Jelsma:
> > > Hello Shalin,
> > >
> > > Yes, the main search index has DocValues on just a few fields, they are used for facetting and function queries, we started using DocValues when 6.0 was released. Most fields are content fields for many languages. I don't think it is going to be DocValues because the max shared memory consumption is reduced my searching on fields fewer languages, and by disabling highlighting, both not using DocValues.
> > >
> > > But it tried the option regardless, and because i didn't know about it. But it appears the option does exactly nothing. First is without any configuration for preload, second is with preload=true, third is preload=false
> > >
> > > 14220 markus 20 0 14,675g 1,508g 62800 S 1,0 9,6 0:36.98 java
> > > 14803 markus 20 0 14,674g 1,537g 63248 S 0,0 9,8 0:34.50 java
> > > 15324 markus 20 0 14,674g 1,409g 63152 S 0,0 9,0 0:35.50 java
> > >
> > > Please correct my config is i am wrong:
> > >
> > > <directoryFactory name="DirectoryFactory" class="${solr.directoryFactory:solr.NRTCachingDirectoryFactory}">
> > > <bool name="preload">false</bool>
> > > </directoryFactory>
> > >
> > > NRTCachingDirectoryFactory implies MMapDirectory right?
> > >
> > > Thanks,
> > > Markus
> > >
> > > -----Original message-----
> > >> From:Shalin Shekhar Mangar <sh...@gmail.com>
> > >> Sent: Thursday 24th August 2017 5:51
> > >> To: solr-user@lucene.apache.org
> > >> Subject: Re: Solr uses lots of shared memory!
> > >>
> > >> Very interesting. Do you have many DocValue fields? Have you always
> > >> had them i.e. did you see this problem before you turned on DocValues?
> > >> The DocValue fields are in a separate file and they will be memory
> > >> mapped on demand. One thing you can experiment with is to use
> > >> preload=true option on the MMapDirectoryFactory which will mmap all
> > >> index files on startup [1]. Once you do this, and if you still notice
> > >> shared memory leakage then it may be a genuine memory leak that we
> > >> should investigate.
> > >>
> > >> [1] - http://lucene.apache.org/solr/guide/6_6/datadir-and-directoryfactory-in-solrconfig.html#DataDirandDirectoryFactoryinSolrConfig-SpecifyingtheDirectoryFactoryForYourIndex
> > >>
> > >> On Wed, Aug 23, 2017 at 7:02 PM, Markus Jelsma
> > >> <ma...@openindex.io> wrote:
> > >>> I do not think it is a problem of reporting after watching top after restart of some Solr instances, it dropped back to `normal`, around 350 MB, which i think it high to but anyway.
> > >>>
> > >>> Two hours later, the restarted nodes are slowly increasing shared memory consumption to about 1500 MB now. I don't understand why shared memory usage should/would increase slowly over time, it makes little sense to me and i cannot remember Solr doing this in the past ten years.
> > >>>
> > >>> But it seems to correlate to index size on disk, these main text search nodes have an index of around 16 GB and up 3 GB of shared memory after a few days. Logs nodes up to 800 MB index size and 320 MB of shared memory, the low latency nodes have four different cores that make up just over 100 MB index size, shared memory consumption is just 22 MB, which seems more reasonable for the case of shared memory.
> > >>>
> > >>> I can also force Solr to 'leak' shared memory just by sending queries to it. My freshly restarted local node used 68 MB shared memory at startup. Two minutes and 25.000 queries later it was already 2748 MB! At first there is a very sharp increase to 2000, then it takes almost two minutes more to increase to 2748. I can decrease the maximum shared memory usage to 1200 if i query (via edismax) only on fields of one language instead of 25 orso. I can decrease it as well further if i disable highlighting (HUH?) but still query on all fields.
> > >>>
> > >>> * We have tried patching Java's ByteBuffer [1] because it seemed to fit the problems, it does not fix it.
> > >>> * We have also removed all our custom plugins, so it has become a vanilla Solr 6.6 just with our stripped down schema and solrconfig, it neither fixes it.
> > >>>
> > >>> Why does it slowly increase over time?
> > >>> Why does it appear to correlate to index size?
> > >>> Is anyone else seeing this on their 6.6 cloud production or local machines?
> > >>>
> > >>> Thanks,
> > >>> Markus
> > >>>
> > >>> [1]: http://www.evanjones.ca/java-bytebuffer-leak.html
> > >>>
> > >>> -----Original message-----
> > >>>> From:Shawn Heisey <ap...@elyograg.org>
> > >>>> Sent: Tuesday 22nd August 2017 17:32
> > >>>> To: solr-user@lucene.apache.org
> > >>>> Subject: Re: Solr uses lots of shared memory!
> > >>>>
> > >>>> On 8/22/2017 7:24 AM, Markus Jelsma wrote:
> > >>>>> I have never seen this before, one of our collections, all nodes eating tons of shared memory!
> > >>>>>
> > >>>>> Here's one of the nodes:
> > >>>>> 10497 solr 20 0 19.439g 4.505g 3.139g S 1.0 57.8 2511:46 java
> > >>>>>
> > >>>>> RSS is roughly equal to heap size + usual off-heap space + shared memory. Virtual is equal to RSS and index size on disk. For two other collections, the nodes use shared memory as expected, in the MB range.
> > >>>>>
> > >>>>> How can Solr, this collection, use so much shared memory? Why?
> > >>>>
> > >>>> I've seen this on my own servers at work, and when I add up a subset of
> > >>>> the memory numbers I can see from the system, it ends up being more
> > >>>> memory than I even have in the server.
> > >>>>
> > >>>> I suspect there is something odd going on in how Java reports memory
> > >>>> usage to the OS, or maybe a glitch in how Linux interprets Java's memory
> > >>>> usage. At some point in the past, numbers were reported correctly. I
> > >>>> do not know if the change came about because of a Solr upgrade, because
> > >>>> of a Java upgrade, or because of an OS kernel upgrade. All three were
> > >>>> upgraded between when I know the numbers looked right and when I noticed
> > >>>> they were wrong.
> > >>>>
> > >>>> https://www.dropbox.com/s/91uqlrnfghr2heo/solr-memory-sorted-top.png?dl=0
> > >>>>
> > >>>> This screenshot shows that Solr is using 17GB of memory, 41.45GB of
> > >>>> memory is being used by the OS disk cache, and 10.23GB of memory is
> > >>>> free. Add those up, and it comes to 68.68GB ... but the machine only
> > >>>> has 64GB of memory, and that total doesn't include the memory usage of
> > >>>> the other processes seen in the screenshot. This impossible situation
> > >>>> means that something is being misreported somewhere. If I deduct that
> > >>>> 11GB of SHR from the RES value, then all the numbers work.
> > >>>>
> > >>>> The screenshot was almost 3 years ago, so I do not know what machine it
> > >>>> came from, and therefore I can't be sure what the actual heap size was.
> > >>>> I think it was about 6GB -- the difference between RES and SHR. I have
> > >>>> used a 6GB heap on some of my production servers in the past. The
> > >>>> server where I got this screenshot was not having any noticeable
> > >>>> performance or memory problems, so I think that I can trust that the
> > >>>> main numbers above the process list (which only come from the OS) are
> > >>>> correct.
> > >>>>
> > >>>> Thanks,
> > >>>> Shawn
> > >>>>
> > >>>>
> > >>
> > >>
> > >>
> > >> --
> > >> Regards,
> > >> Shalin Shekhar Mangar.
> > >>
> >
>