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https://issues.apache.org/jira/browse/LUCENE-4620?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael McCandless updated LUCENE-4620:
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Attachment: LUCENE-4620.patch
Patch, fixing that bug Shai found.
Performance is better with this specialization:
{noformat}
Task QPS base StdDev QPS comp StdDev
Pct diff
PKLookup 192.61 (4.5%) 193.06 (4.2%)
0.2% ( -8% - 9%)
LowTerm 15.33 (1.6%) 15.44 (2.5%)
0.7% ( -3% - 4%)
MedTerm 7.60 (0.7%) 7.74 (1.8%)
1.9% ( 0% - 4%)
HighTerm 3.85 (0.6%) 3.97 (1.2%)
3.1% ( 1% - 4%)
{noformat}
I also tried the unrolling of the vInt loop but perf was strangely quite a bit
worse..
> 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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