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Posted to dev@lucene.apache.org by muraalee <mu...@gmail.com> on 2007/07/07 02:00:48 UTC
RAM Directory doesn't work for index size > 8 GB
Hi,
We are facing a strange problem with RAMDirectory for indices greater than 8
GB. We have indexed around 6.5 million lucene documents and the index size
is around 8 GB. Below is the contents of Index Directory.
2236964197 _1x.fdt
51811488 _1x.fdx
293 _1x.fnm
2234929832 _1x.frq
369156856 _1x.nrm
2746607717 _1x.prx
4979893 _1x.tii
389652682 _1x.tis
42 segments_3x
20 segments.gen
We could open this using FSDirectory and it seems to be working fine. But if
we switch to RAMDirectory, we get the following exception.
Caused by: java.lang.ArrayIndexOutOfBoundsException: -369
at
org.apache.lucene.store.RAMInputStream.readByte(RAMInputStream.java:64)
at org.apache.lucene.store.IndexInput.readVLong(IndexInput.java:77)
at
org.apache.lucene.index.MultiLevelSkipListReader.loadSkipLevels(MultiLevelSkipListReader.java:194)
at
org.apache.lucene.index.MultiLevelSkipListReader.skipTo(MultiLevelSkipListReader.java:97)
at
org.apache.lucene.index.SegmentTermDocs.skipTo(SegmentTermDocs.java:164)
at
org.apache.lucene.search.PhrasePositions.skipTo(PhrasePositions.java:52)
at
org.apache.lucene.search.PhraseScorer.doNext(PhraseScorer.java:88)
at org.apache.lucene.search.PhraseScorer.next(PhraseScorer.java:81)
at
org.apache.lucene.search.DisjunctionSumScorer.initScorerDocQueue(DisjunctionSumScorer.java:105)
at
org.apache.lucene.search.DisjunctionSumScorer.next(DisjunctionSumScorer.java:144)
at
org.apache.lucene.search.BooleanScorer2.score(BooleanScorer2.java:327)
at
org.apache.lucene.search.IndexSearcher.search(IndexSearcher.java:146)
at org.apache.lucene.search.Searcher.search(Searcher.java:118)
at org.apache.lucene.search.Searcher.search(Searcher.java:97)
at
org.apache.lucene.search.QueryWrapperFilter.bits(QueryWrapperFilter.java:50)
Any help to address this problem is greatly appreciated.
thanks
Murali V
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Re: RAM Directory doesn't work for index size > 8 GB
Posted by muraalee <mu...@gmail.com>.
Forgot to mention the version of lucene..
We are using Lucene 2.2.0
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