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Varun Thacker updated LUCENE-5688: ---------------------------------- Attachment: LUCENE-5688.patch I created a new DocValue format - SparseDocValuesFormat I have just added Numeric support till now. Adding other should not take too long. Wanted to get some feedback on whether I'm on the right track. It does a binary search on the position data which is read using MonotonicBlockPackedReader. Also I am not too familiar with lucene-util but is there a test which benchmarks DocValue read times? Should be interesting to see the read time difference. > NumericDocValues fields with sparse data can be compressed better > ------------------------------------------------------------------ > > Key: LUCENE-5688 > URL: https://issues.apache.org/jira/browse/LUCENE-5688 > Project: Lucene - Core > Issue Type: Improvement > Reporter: Varun Thacker > Priority: Minor > Attachments: LUCENE-5688.patch, LUCENE-5688.patch > > > I ran into this problem where I had a dynamic field in Solr and indexed data > into lots of fields. For each field only a few documents had actual values > and the remaining documents the default value ( 0 ) got indexed. Now when I > merge segments, the index size jumps up. > For example I have 10 segments - Each with 1 DV field. When I merge segments > into 1 that segment will contain all 10 DV fields with lots if 0s. > This was the motivation behind trying to come up with a compression for a use > case like this. -- This message was sent by Atlassian JIRA (v6.2#6252) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org