Hi,
I am getting the following OOM consistently whenever the index is opened . Is
it because now the index is holding too many terms ? Our application ( that has
Lucene 2.9.3 ) already has reached 1.8G of virtual memory.
Is there a way I can avoid OOM during IndexReader open because of too many
terms ?
2012-05-30 14:12:46,139 [MC:10.2.2.1-1332015615933-1264
FS:parinfprdcl01k_655394_0] ERROR util - Context: MC: 10.2.2
.1-1332015615933-1264 failed at the state LocalIndexOptimizeAndCompress,
NumActiveThreads = 64. Error: java.lang.OutO fMemoryError: Java heap
space % STACK:
org.apache.lucene.index.TermInfosReader.<init>(TermInfosReader.java:90)
org.apache.lucene.index.SegmentReader$CoreReaders.<init>(SegmentReader.java:122)
org.apache.lucene.index.SegmentReader.get(SegmentReader.java:652)
org.apache.lucene.index.SegmentReader.get(SegmentReader.java:613)
org.apache.lucene.index.DirectoryReader.<init>(DirectoryReader.java:106)
org.apache.lucene.index.DirectoryReader$1.doBody(DirectoryReader.java:78)
org.apache.lucene.index.SegmentInfos$FindSegmentsFile.run(SegmentInfos.java:683)
org.apache.lucene.index.DirectoryReader.open(DirectoryReader.java:71)
org.apache.lucene.index.IndexReader.open(IndexReader.java:482)
org.apache.lucene.index.IndexReader.open(IndexReader.java:320)
com.kazeon.search.indexingengine.context.MergerContext.deleteAgainstFiler(MergerContext.java:1357)
com.kazeon.search.indexingengine.context.MergerContext.deleteAgainstFiler(MergerContext.java:656)
com.kazeon.search.indexingengine.statemachine.modifiers.merger.LocalIndexOptimizeAndCompressModifier.modifyState
Aux(LocalIndexOptimizeAndCompressModifier.java:303)
com.kazeon.search.indexingengine.statemachine.modifiers.merger.LocalIndexOptimizeAndCompressModifier.mergeAllICs
(LocalIndexOptimizeAndCompressModifier.java:175)
com.kazeon.search.indexingengine.statemachine.modifiers.merger.LocalIndexOptimizeAndCompressModifier.modifyState
(LocalIndexOptimizeAndCompressModifier.java:106)
com.kazeon.util.scoreboard.WorkerThread.run(WorkerThread.java:31)
thanks,
Nishesh
