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https://issues.apache.org/jira/browse/SOLR-13807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16942117#comment-16942117
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Michael Gibney commented on SOLR-13807:
---------------------------------------

I initially proposed this idea, along with an implementation over 
{{SimpleFacets}}, as (very) tangentially related to 
[SOLR-8096|https://issues.apache.org/jira/browse/SOLR-8096?focusedCommentId=15960982#comment-15960982].
 As a natural consequence of working to address some performance issues with 
full-domain SKG/relatedness (SOLR-13132), I updated the initial facet cache 
implementation to be compatible with JSON facets (while maintaining 
cross-compatibility with {{SimpleFacets}}).

[PR #751|https://github.com/apache/lucene-solr/pull/751] (associated with 
SOLR-13132) incorporates a facet cache that I believe realizes all of the 
potential mentioned in the proposal/description above, including being 
NRT-friendly/segment-aware ... with the exception of point 5 (the PR does not 
leverage the facet cache for distributed refinement; the facet cache itself was 
a prerequisite for the SKG/relatedness work, but distributed refinement would 
have definitely been out of scope).

In retrospect I would have preferred to submit a separate PR for only the facet 
cache; I did not go that route, but only because the facet cache implementation 
grew organically out of (and was prerequisite to) the work on SKG/relatedness. 
Would people be comfortable (at least initially) evaluating the facet cache 
implementation in the context of SOLR-13132? Whether or not I end up having to 
extract the facet cache work into a separate PR, I thought it would be worth 
opening this separate Jira issue for the facet cache, since its use could 
potentially be much more general (beyond SKG/relatedness). 

> Caching for term facet counts
> -----------------------------
>
>                 Key: SOLR-13807
>                 URL: https://issues.apache.org/jira/browse/SOLR-13807
>             Project: Solr
>          Issue Type: New Feature
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: Facet Module
>    Affects Versions: master (9.0), 8.2
>            Reporter: Michael Gibney
>            Priority: Minor
>
> Solr does not have a facet count cache; so for _every_ request, term facets 
> are recalculated for _every_ (facet) field, by iterating over _every_ field 
> value for _every_ doc in the result domain, and incrementing the associated 
> count.
> This redoes a lot of work, including all associated object allocation, GC, 
> etc., and could benefit greatly from integrated caching.
> Because of the domain-based, serial/iterative nature of term facet 
> calculation, latency is proportional to the size of the result domain. 
> Consequently, one common/clear manifestation of this issue is high latency 
> for faceting over an unrestricted domain (e.g., {{*:*}}), as might be 
> observed on a top-level landing page that exposes facets. This type of 
> "static" case is often mitigated by external (to Solr) caching, either with a 
> caching layer between Solr and a front-end application, or within a front-end 
> application, or even with a caching layer between the end user and a 
> front-end application.
> But in addition to the overhead of handling this caching elsewhere in the 
> stack (or, for a new user, even being aware of this as a potential issue to 
> mitigate), any external caching mitigation is really only appropriate for 
> relatively static cases like the "landing page" example described above. A 
> Solr-internal facet count cache (analogous to the {{filterCache}}) would 
> provide the following additional benefits:
>  # ease of use/out-of-the-box configuration to address a common performance 
> concern
>  # compact (specifically caching count arrays, without the extra baggage that 
> accompanies a naive external caching approach)
>  # NRT-friendly (could be implemented to be segment-aware)
>  # modular, capable of reusing the same cached values in conjunction with 
> variant requests over the same result domain (this would support common use 
> cases like paging, but also potentially more interesting direct uses of 
> facets). 
>  # could be used for distributed refinement (i.e., if facet counts over a 
> given domain are cached, a refinement request could simply look up the 
> ordinal value for each enumerated term and directly grab the count out of the 
> count array that was cached during the first phase of facet calculation)
>  # composable (e.g., in aggregate functions that calculate values based on 
> facet counts across different domains, like SKG/relatedness – see SOLR-13132)



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