Which version of Solr do you use? 3.1 and 3.2 had a memory leak bug in spellchecking. This was fixed in 3.3.
On Tue, Jan 17, 2012 at 5:59 AM, Robert Muir <rcm...@gmail.com> wrote: > I committed it already: so you can try out branch_3x if you want. > > you can either wait for a nightly build or compile from svn > (http://svn.apache.org/repos/asf/lucene/dev/branches/branch_3x/). > > On Tue, Jan 17, 2012 at 8:35 AM, Dave <dla...@gmail.com> wrote: >> Thank you Robert, I'd appreciate that. Any idea how long it will take to >> get a fix? Would I be better switching to trunk? Is trunk stable enough for >> someone who's very much a SOLR novice? >> >> Thanks, >> Dave >> >> On Mon, Jan 16, 2012 at 10:08 PM, Robert Muir <rcm...@gmail.com> wrote: >> >>> looks like https://issues.apache.org/jira/browse/SOLR-2888. >>> >>> Previously, FST would need to hold all the terms in RAM during >>> construction, but with the patch it uses offline sorts/temporary >>> files. >>> I'll reopen the issue to backport this to the 3.x branch. >>> >>> >>> On Mon, Jan 16, 2012 at 8:31 PM, Dave <dla...@gmail.com> wrote: >>> > I'm trying to figure out what my memory needs are for a rather large >>> > dataset. I'm trying to build an auto-complete system for every >>> > city/state/country in the world. I've got a geographic database, and have >>> > setup the DIH to pull the proper data in. There are 2,784,937 documents >>> > which I've formatted into JSON-like output, so there's a bit of data >>> > associated with each one. Here is an example record: >>> > >>> > Brooklyn, New York, United States?{ |id|: |2620829|, >>> > |timezone|:|America/New_York|,|type|: |3|, |country|: { |id| : |229| }, >>> > |region|: { |id| : |3608| }, |city|: { |id|: |2616971|, |plainname|: >>> > |Brooklyn|, |name|: |Brooklyn, New York, United States| }, |hint|: >>> > |2300664|, |label|: |Brooklyn, New York, United States|, |value|: >>> > |Brooklyn, New York, United States|, |title|: |Brooklyn, New York, United >>> > States| } >>> > >>> > I've got the spellchecker / suggester module setup, and I can confirm >>> that >>> > everything works properly with a smaller dataset (i.e. just a couple of >>> > countries worth of cities/states). However I'm running into a big problem >>> > when I try to index the entire dataset. The >>> dataimport?command=full-import >>> > works and the system comes to an idle state. It generates the following >>> > data/index/ directory (I'm including it in case it gives any indication >>> on >>> > memory requirements): >>> > >>> > -rw-rw---- 1 root root 2.2G Jan 17 00:13 _2w.fdt >>> > -rw-rw---- 1 root root 22M Jan 17 00:13 _2w.fdx >>> > -rw-rw---- 1 root root 131 Jan 17 00:13 _2w.fnm >>> > -rw-rw---- 1 root root 134M Jan 17 00:13 _2w.frq >>> > -rw-rw---- 1 root root 16M Jan 17 00:13 _2w.nrm >>> > -rw-rw---- 1 root root 130M Jan 17 00:13 _2w.prx >>> > -rw-rw---- 1 root root 9.2M Jan 17 00:13 _2w.tii >>> > -rw-rw---- 1 root root 1.1G Jan 17 00:13 _2w.tis >>> > -rw-rw---- 1 root root 20 Jan 17 00:13 segments.gen >>> > -rw-rw---- 1 root root 291 Jan 17 00:13 segments_2 >>> > >>> > Next I try to run the suggest?spellcheck.build=true command, and I get >>> the >>> > following error: >>> > >>> > Jan 16, 2012 4:01:47 PM org.apache.solr.spelling.suggest.Suggester build >>> > INFO: build() >>> > Jan 16, 2012 4:03:27 PM org.apache.solr.common.SolrException log >>> > SEVERE: java.lang.OutOfMemoryError: GC overhead limit exceeded >>> > at java.util.Arrays.copyOfRange(Arrays.java:3209) >>> > at java.lang.String.<init>(String.java:215) >>> > at org.apache.lucene.index.TermBuffer.toTerm(TermBuffer.java:122) >>> > at org.apache.lucene.index.SegmentTermEnum.term(SegmentTermEnum.java:184) >>> > at org.apache.lucene.index.TermInfosReader.get(TermInfosReader.java:203) >>> > at org.apache.lucene.index.TermInfosReader.get(TermInfosReader.java:172) >>> > at org.apache.lucene.index.SegmentReader.docFreq(SegmentReader.java:509) >>> > at >>> org.apache.lucene.index.DirectoryReader.docFreq(DirectoryReader.java:719) >>> > at >>> org.apache.solr.search.SolrIndexReader.docFreq(SolrIndexReader.java:309) >>> > at >>> > >>> org.apache.lucene.search.spell.HighFrequencyDictionary$HighFrequencyIterator.isFrequent(HighFrequencyDictionary.java:75) >>> > at >>> > >>> org.apache.lucene.search.spell.HighFrequencyDictionary$HighFrequencyIterator.hasNext(HighFrequencyDictionary.java:125) >>> > at >>> org.apache.lucene.search.suggest.fst.FSTLookup.build(FSTLookup.java:157) >>> > at org.apache.lucene.search.suggest.Lookup.build(Lookup.java:70) >>> > at org.apache.solr.spelling.suggest.Suggester.build(Suggester.java:133) >>> > at >>> > >>> org.apache.solr.handler.component.SpellCheckComponent.prepare(SpellCheckComponent.java:109) >>> > at >>> > >>> org.apache.solr.handler.component.SearchHandler.handleRequestBody(SearchHandler.java:173) >>> > at >>> > >>> org.apache.solr.handler.RequestHandlerBase.handleRequest(RequestHandlerBase.java:129) >>> > at org.apache.solr.core.SolrCore.execute(SolrCore.java:1372) >>> > at >>> > >>> org.apache.solr.servlet.SolrDispatchFilter.execute(SolrDispatchFilter.java:356) >>> > at >>> > >>> org.apache.solr.servlet.SolrDispatchFilter.doFilter(SolrDispatchFilter.java:252) >>> > at >>> > >>> org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1212) >>> > at >>> org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:399) >>> > at >>> > >>> org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java:216) >>> > at >>> org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java:182) >>> > at >>> org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java:766) >>> > at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java:450) >>> > at >>> > >>> org.mortbay.jetty.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:230) >>> > at >>> > >>> org.mortbay.jetty.handler.HandlerCollection.handle(HandlerCollection.java:114) >>> > at >>> org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) >>> > at org.mortbay.jetty.Server.handle(Server.java:326) >>> > at >>> org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java:542) >>> > at >>> > >>> org.mortbay.jetty.HttpConnection$RequestHandler.headerComplete(HttpConnection.java:928) >>> > >>> > >>> > I also get an error if after the dataimport command completes, I just >>> exit >>> > the SOLR process and restart it: >>> > >>> > Jan 16, 2012 4:06:15 PM org.apache.solr.common.SolrException log >>> > SEVERE: java.lang.OutOfMemoryError: Java heap space >>> > at org.apache.lucene.util.fst.NodeHash.rehash(NodeHash.java:158) >>> > at org.apache.lucene.util.fst.NodeHash.add(NodeHash.java:128) >>> > at org.apache.lucene.util.fst.Builder.compileNode(Builder.java:161) >>> > at org.apache.lucene.util.fst.Builder.compilePrevTail(Builder.java:247) >>> > at org.apache.lucene.util.fst.Builder.add(Builder.java:364) >>> > at >>> > >>> org.apache.lucene.search.suggest.fst.FSTLookup.buildAutomaton(FSTLookup.java:486) >>> > at >>> org.apache.lucene.search.suggest.fst.FSTLookup.build(FSTLookup.java:179) >>> > at org.apache.lucene.search.suggest.Lookup.build(Lookup.java:70) >>> > at org.apache.solr.spelling.suggest.Suggester.build(Suggester.java:133) >>> > at org.apache.solr.spelling.suggest.Suggester.reload(Suggester.java:153) >>> > at >>> > >>> org.apache.solr.handler.component.SpellCheckComponent$SpellCheckerListener.newSearcher(SpellCheckComponent.java:675) >>> > at org.apache.solr.core.SolrCore$3.call(SolrCore.java:1181) >>> > at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303) >>> > at java.util.concurrent.FutureTask.run(FutureTask.java:138) >>> > at >>> > >>> java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) >>> > at >>> > >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) >>> > at java.lang.Thread.run(Thread.java:662) >>> > >>> > Jan 16, 2012 4:06:15 PM org.apache.solr.core.SolrCore registerSearcher >>> > INFO: [places] Registered new searcher Searcher@34b0ede5 main >>> > >>> > >>> > >>> > Basically this means once I've run a full-import, I cannot exit the SOLR >>> > process because I receive this error no matter what when I restart the >>> > process. I've tried with different -Xmx arguments, and I'm really at a >>> loss >>> > at this point. Is there any guideline to how much RAM I need? I've got >>> 8GB >>> > on this machine, although that could be increased if necessary. However, >>> I >>> > can't understand why it would need so much memory. Could I have something >>> > configured incorrectly? I've been over the configs several times, trying >>> to >>> > get them down to the bare minimum. >>> > >>> > Thanks for any assistance! >>> > >>> > Dave >>> >>> >>> >>> -- >>> lucidimagination.com >>> > > > > -- > lucidimagination.com -- Lance Norskog goks...@gmail.com
