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Andrzej Bialecki commented on LUCENE-5914: ------------------------------------------- bq. Do you have pointers to emails/irc logs describing such issues? I've seen this issue on AWS small instances, where CPU "steal time" and not I/O can easily become the limiting factor. > More options for stored fields compression > ------------------------------------------ > > Key: LUCENE-5914 > URL: https://issues.apache.org/jira/browse/LUCENE-5914 > Project: Lucene - Core > Issue Type: Improvement > Reporter: Adrien Grand > Assignee: Adrien Grand > Fix For: 4.11 > > Attachments: LUCENE-5914.patch > > > Since we added codec-level compression in Lucene 4.1 I think I got about the > same amount of users complaining that compression was too aggressive and that > compression was too light. > I think it is due to the fact that we have users that are doing very > different things with Lucene. For example if you have a small index that fits > in the filesystem cache (or is close to), then you might never pay for actual > disk seeks and in such a case the fact that the current stored fields format > needs to over-decompress data can sensibly slow search down on cheap queries. > On the other hand, it is more and more common to use Lucene for things like > log analytics, and in that case you have huge amounts of data for which you > don't care much about stored fields performance. However it is very > frustrating to notice that the data that you store takes several times less > space when you gzip it compared to your index although Lucene claims to > compress stored fields. > For that reason, I think it would be nice to have some kind of options that > would allow to trade speed for compression in the default codec. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org