Interesting... I didn't explicitly turn that on... I'm creating a query using
query parser, then executing a search using that query and a sort. Would this
algorithmically somehow invoke the FieldCacheImpl? If so, anyway I can turn it
off? Basically the caching wouldn't be valuable anyway given the volatility of
the index, and I'm not that concerned with speed. (seeing most queries take
well under 20ms)
Here's the searcher thread, if the code would help... note rd is my
RAMDirectory object - it is never closed / reopened for the life of the
application.
public tps_search_results searchIndex(String query, String sortColumn,
boolean desc) {
ArrayList<Long> results = new ArrayList<Long>();
try {
if (!readerTPS.isCurrent()) {
searcher.close();
readerTPS.close();
readerTPS = IndexReader.open(rd);
searcher = new IndexSearcher(readerTPS);
}
Query q = parserTPS.parse(query);
Sort sort = new Sort(sortColumn, desc);
Hits hits = searcher.search(q, sort);
for (Iterator<Hit> it = hits.iterator(); it.hasNext(); ) {
Hit hit = it.next();
results.add(Long.parseLong(hit.get("ticket_id")));
}
} catch (Exception e) {
rlog.exception(e);
}
rlog.queryComplete(": Results count: " + results.size());
tps_search_results ret_results = new tps_search_results(results);
return ret_results;
}
----- Original Message ----
From: Chris Lu <[EMAIL PROTECTED]>
To: java-user@lucene.apache.org
Sent: Monday, December 10, 2007 2:17:26 PM
Subject: Re: Out of memory?
Looks like you are using FieldCacheImpl to count search results for
each category. ( or called facet search by a fancy name ).
Well, it's a cache and the terms are loaded in the memory.
--
Chris Lu
-------------------------
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On Dec 10, 2007 11:56 AM, Bob Daha <[EMAIL PROTECTED]> wrote:
> Hello,
>
> I'm building a ticketing system for my company and am using Lucene
for some of the more complicated queries. I'd say my application differs
from the typical lucene application in that my documents are
(re)-indexed more frequently, the query load is actually relatively light, and
most of the indexed document data is numerical. (ticket id, owner id,
date ranges, etc are numbers and there's just one giant "text"
searchable field.)
>
> I just got an out of memory exception on my app. When I fired up
jhat, I was very surprised at the object allocation:
>
> 7862 instances of class org.apache.lucene.index.Term
> 7787 instances of class org.apache.lucene.index.TermInfo
> 504 instances of class org.apache.lucene.index.FieldInfo
> 224 instances of class org.apache.lucene.index.TermBuffer
> 79 instances of class
org.apache.lucene.index.CompoundFileReader$CSIndexInput
> 75 instances of class org.apache.lucene.index.SegmentTermEnum
> 70 instances of class org.apache.lucene.store.RAMFile
> 64 instances of class org.apache.lucene.store.RAMInputStream
> 63 instances of class org.apache.lucene.index.FieldInfos
> 20 instances of class
com.facebook.tps_search_server.tps_search_ticket
> 20 instances of class
com.facebook.tps_search_server.tps_search_ticket$Isset
> 10 instances of class org.apache.lucene.index.IndexReader$FieldOption
> 9 instances of class
org.apache.lucene.index.IndexFileDeleter$RefCount
> 8 instances of class
org.apache.lucene.index.CompoundFileReader$FileEntry
> 8 instances of class
org.apache.lucene.index.CompoundFileWriter$FileEntry
> 8 instances of class org.apache.lucene.index.SegmentReader$Norm
> 7 instances of class org.apache.lucene.document.FieldSelectorResult
> 5 instances of class org.apache.lucene.document.Field$TermVector
> 5 instances of class org.apache.lucene.queryParser.Token
> 4 instances of class org.apache.lucene.document.Field$Index
> 4 instances of class org.apache.lucene.search.FieldCacheImpl$Entry
> 3 instances of class com.facebook.thrift.protocol.TBinaryProtocol
> 3 instances of class com.facebook.thrift.transport.TSocket
> 3 instances of class org.apache.lucene.document.Field$Store
> 3 instances of class org.apache.lucene.index.SegmentInfos
> 3 instances of class org.apache.lucene.search.BooleanClause$Occur
> 2 instances of class
com.facebook.thrift.protocol.TBinaryProtocol$Factory
> 2 instances of class
com.facebook.thrift.server.TThreadPoolServer$WorkerProcess
> 2 instances of class com.facebook.thrift.transport.TTransportFactory
> 2 instances of class
org.apache.lucene.analysis.standard.StandardAnalyzer
> 2 instances of class org.apache.lucene.index.SegmentInfo
> 2 instances of class
org.apache.lucene.queryParser.QueryParser$Operator
> 2 instances of class org.apache.lucene.search.DefaultSimilarity
> 2 instances of class org.apache.lucene.search.FieldSortedHitQueue$2
> 2 instances of class org.apache.lucene.search.Sort
> 2 instances of class org.apache.lucene.search.SortField
> 2 instances of class org.apache.lucene.store.RAMDirectory
> 2 instances of class
org.apache.lucene.store.SingleInstanceLockFactory
> 2 instances of class [Lorg.apache.lucene.search.SortField;
> ...
>
> Any ideas on why I'd have so many Term and TermInfo objects? To give
you a little more insight into my application, worker threads can be
spawned by client requests that do one of 4 things - search, index
tickets, deindex tickets, or reindex tickets. (reindex a ticket is
basically deindex then index ticket) I'm using a RAMDirectory for all my
searches and updates although I have another thread which backs this up to
disc periodically.
>
> Thanks,
> B
>
>
>
>
>
____________________________________________________________________________________
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