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https://issues.apache.org/jira/browse/LUCENE-4609?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13559833#comment-13559833
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Shai Erera commented on LUCENE-4609:
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Perhaps this should belong to a different issue? I mean, this one is focused on
a PackedInts encoder/decoder (or any other encoder/decoder that's better than
VInt).
Separately, it's interesting that this performs worse than DV Source +
decoding. I mean, the results don't factor in reading and populating the cache,
right? The test is already "hot" when it's measured?
I must say that I'm not entirely surprised ... having recently looked at
PackedInts API, it doesn't look so optimized (working w/ DataInput for
example), where the dgap+vint that we have in CountingFC is *very* optimized. I
think that what we need is a custom cache, which encodes things similar to
PackedInts ... or maybe as you say, the bulk read methods would do better.
But we should explore that on another issue?
> Write a PackedIntsEncoder/Decoder for facets
> --------------------------------------------
>
> Key: LUCENE-4609
> URL: https://issues.apache.org/jira/browse/LUCENE-4609
> Project: Lucene - Core
> Issue Type: New Feature
> Components: modules/facet
> Reporter: Shai Erera
> Priority: Minor
> Attachments: LUCENE-4609.patch, LUCENE-4609.patch, LUCENE-4609.patch
>
>
> Today the facets API lets you write IntEncoder/Decoder to encode/decode the
> category ordinals. We have several such encoders, including VInt (default),
> and block encoders.
> It would be interesting to implement and benchmark a
> PackedIntsEncoder/Decoder, with potentially two variants: (1) receives
> bitsPerValue up front, when you e.g. know that you have a small taxonomy and
> the max value you can see and (2) one that decides for each doc on the
> optimal bitsPerValue, writes it as a header in the byte[] or something.
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