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https://issues.apache.org/jira/browse/LUCENE-5688?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Varun Thacker updated LUCENE-5688:
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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.
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