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https://issues.apache.org/jira/browse/LUCENE-4936?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir updated LUCENE-4936:
--------------------------------
Attachment: LUCENE-4936.patch
Same patch: I just uploaded a test.
For DiskDVProducer, I think the compression tables and so on should be
structured to be in the metadata section rather than the data section, to
minimize the per-thread instance overhead.
today its:
{code}
final IndexInput data = this.data.clone();
data.seek(entry.offset);
final BlockPackedReader reader = new BlockPackedReader(data,
entry.packedIntsVersion, entry.blockSize, entry.count, true);
return new LongNumericDocValues() {
@Override
public long get(long id) {
return reader.get(id);
}
};
{code}
I'll try to cut this stuff over...
> docvalues date compression
> --------------------------
>
> Key: LUCENE-4936
> URL: https://issues.apache.org/jira/browse/LUCENE-4936
> Project: Lucene - Core
> Issue Type: Improvement
> Components: core/index
> Reporter: Robert Muir
> Assignee: Adrien Grand
> Fix For: 4.4
>
> Attachments: LUCENE-4936.patch, LUCENE-4936.patch, LUCENE-4936.patch,
> LUCENE-4936.patch, LUCENE-4936.patch, LUCENE-4936.patch
>
>
> DocValues fields can be very wasteful if you are storing dates (like solr's
> TrieDateField does if you enable docvalues) and don't actually need all the
> precision: e.g. "date-only" fields like date of birth with no time component,
> time fields without milliseconds precision, and so on.
> Ideally we'd compute GCD of all the values to save space
> (numberOfTrailingZeros is not really enough here), but i think we should at
> least look for values like 86400000, 3600000, and 1000 to be practical.
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