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https://issues.apache.org/jira/browse/LUCENE-4484?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13476981#comment-13476981
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Robert Muir commented on LUCENE-4484:
-------------------------------------
I know it does: I think a much safer general solution to keep e.g. file counts
low would be to just match the lucene defaults:
FSDirectory.open and CFS enabled.
I tend to agree with Mike on "NRTCachingDirectory can really be especially for
the NRT use case"
because otherwise I think its going to be ugly to make it work well for all
use-cases... and
even then not OOM'ing doesnt necessarily mean working well. If its always
overflowing its cache
and having to uncache files because its not really an NRT use case that doesn't
seem great.
But i don't disagree with trying to make it more general either, I do just
think that this should be done in NRTCachingDir
itself and not hacked into indexwriter (flushing when stored files get too
large is illogical outside of hacking around this)
> NRTCachingDir can't handle large files
> --------------------------------------
>
> Key: LUCENE-4484
> URL: https://issues.apache.org/jira/browse/LUCENE-4484
> Project: Lucene - Core
> Issue Type: Bug
> Reporter: Michael McCandless
>
> I dug into this OOME, which easily repros for me on rev 1398268:
> {noformat}
> ant test -Dtestcase=Test4GBStoredFields -Dtests.method=test
> -Dtests.seed=2D89DD229CD304F5 -Dtests.multiplier=3 -Dtests.nightly=true
> -Dtests.slow=true
> -Dtests.linedocsfile=/home/hudson/lucene-data/enwiki.random.lines.txt
> -Dtests.locale=ru -Dtests.timezone=Asia/Vladivostok
> -Dtests.file.encoding=UTF-8 -Dtests.verbose=true
> {noformat}
> The problem is the test got NRTCachingDir ... which cannot handle large files
> because it decides up front (when createOutput is called) whether the file
> will be in RAMDir vs wrapped dir ... so if that file turns out to be immense
> (which this test does since stored fields files can grow arbitrarily huge w/o
> any flush happening) then it takes unbounded RAM.
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