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https://issues.apache.org/jira/browse/LUCENE-5333?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shai Erera updated LUCENE-5333:
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Attachment: LUCENE-5333.patch
Here's the simple way I thought about - AllFacetsAccumulator takes no requests,
has two ctors - one for SSDV and another for TaxoReader and initializes the
proper FA underneath. To which it delegates the .accumulate, and later filters
out any FRes with no children.
It's just a means for showing how I think it should be done. Still need to
integrate it into FA.create, if we want to simplify an app's life even more,
though I'd prefer to wait for some feedback from anyone that actually uses it
first.
> Support sparse faceting for heterogeneous indices
> -------------------------------------------------
>
> Key: LUCENE-5333
> URL: https://issues.apache.org/jira/browse/LUCENE-5333
> Project: Lucene - Core
> Issue Type: New Feature
> Components: modules/facet
> Reporter: Michael McCandless
> Attachments: LUCENE-5333.patch, LUCENE-5333.patch
>
>
> In some search apps, e.g. a large e-commerce site, the index can have
> a mix of wildly different product categories and facet dimensions, and
> the number of dimensions could be huge.
> E.g. maybe the index has shirts, computer memory, hard drives, etc.,
> and each of these many categories has different attributes.
> In such an index, when someone searches for "so dimm", which should
> match a bunch of laptop memory modules, you can't (easily) know up
> front which facet dimensions will be important.
> But, I think this is very easy for the facet module, since ords are
> stored "row stride" (each doc lists all facet labels it has), we could
> simply count all facets that the hits actually saw, and then in the
> end see which ones "got traction" and return facet results for these
> top dims.
> I'm not sure what the API would look like, but conceptually this
> should work very well, because of how the facet module works.
> You shouldn't have to state up front exactly which facet dimensions
> to count...
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