[
https://issues.apache.org/jira/browse/LUCENE-4769?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13575812#comment-13575812
]
Shai Erera commented on LUCENE-4769:
------------------------------------
Previously, on LUCENE-4609, we tested on the full 2.2M ordinals, which produced
larger DVs. So I think in order to compare to those results, we need to repeat
that test on the full set of ordinals. And separately, it would be good to tell
whether LUCENE-4764 is also faster (and if so, by how much) on the full set of
ordinals.
Then, we can compare fast-DV to int[].
> Add a CountingFacetsAggregator which reads ordinals from a cache
> ----------------------------------------------------------------
>
> Key: LUCENE-4769
> URL: https://issues.apache.org/jira/browse/LUCENE-4769
> Project: Lucene - Core
> Issue Type: New Feature
> Components: modules/facet
> Reporter: Shai Erera
> Assignee: Shai Erera
> Attachments: LUCENE-4769.patch
>
>
> Mike wrote a prototype of a FacetsCollector which reads ordinals from a
> CachedInts structure on LUCENE-4609. I ported it to the new facets API, as a
> FacetsAggregator. I think we should offer users the means to use such a
> cache, even if it consumes more RAM. Mike tests show that this cache consumed
> x2 more RAM than if the DocValues were loaded into memory in their raw form.
> Also, a PackedInts version of such cache took almost the same amount of RAM
> as straight int[], but the gains were minor.
> I will post the patch shortly.
--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators
For more information on JIRA, see: http://www.atlassian.com/software/jira
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]