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https://issues.apache.org/jira/browse/LUCENE-4620?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13552978#comment-13552978
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Michael McCandless commented on LUCENE-4620:
--------------------------------------------
I think we should just make a specialized accumulator/aggregator, for the
counts-only-dgap-vint case: that could wouldn't need to populate an IntsRef and
then make 2nd pass over the ords ... it'd just increment the count for each ord
as it decodes in. In previous issues I already tested that this gives a good
gain ...
> Explore IntEncoder/Decoder bulk API
> -----------------------------------
>
> Key: LUCENE-4620
> URL: https://issues.apache.org/jira/browse/LUCENE-4620
> Project: Lucene - Core
> Issue Type: Improvement
> Components: modules/facet
> Reporter: Shai Erera
> Assignee: Shai Erera
> Fix For: 4.1, 5.0
>
> Attachments: LUCENE-4620.patch, LUCENE-4620.patch, LUCENE-4620.patch,
> LUCENE-4620.patch, LUCENE-4620.patch
>
>
> Today, IntEncoder/Decoder offer a streaming API, where you can encode(int)
> and decode(int). Originally, we believed that this layer can be useful for
> other scenarios, but in practice it's used only for writing/reading the
> category ordinals from payload/DV.
> Therefore, Mike and I would like to explore a bulk API, something like
> encode(IntsRef, BytesRef) and decode(BytesRef, IntsRef). Perhaps the Encoder
> can still be streaming (as we don't know in advance how many ints will be
> written), dunno. Will figure this out as we go.
> One thing to check is whether the bulk API can work w/ e.g. facet
> associations, which can write arbitrary byte[], and so may decoding to an
> IntsRef won't make sense. This too we'll figure out as we go. I don't rule
> out that associations will use a different bulk API.
> At the end of the day, the requirement is for someone to be able to configure
> how ordinals are written (i.e. different encoding schemes: VInt, PackedInts
> etc.) and later read, with as little overhead as possible.
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