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https://issues.apache.org/jira/browse/LUCENE-10250?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17448303#comment-17448303
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Marc D'Mello edited comment on LUCENE-10250 at 11/23/21, 11:23 PM:
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I used random words as labels here because from my understanding of [this
discussion|https://github.com/mikemccand/luceneutil/pull/144#discussion_r727974361],
it seems that we cannot generate new wiki line file docs, so I only had access
to the info already in the {{enwiki-20120502-lines-1k.txt}} file as a source.
Though I agree with your point, the hierarchical categories already in
wikipedia would be a good way to test this change.
was (Author: mdmarshmallow):
I used random words as labels here because from my understanding of [this
discussion|https://github.com/mikemccand/luceneutil/pull/144#discussion_r727974361],
it seems that we cannot generate new wiki line file docs, so I only had access
to the info already in the {{enwiki-20120502-lines-1k.txt}} file. Though I
agree with your point, the hierarchical categories already in wikipedia would
be a good way to test this change.
> Add hierarchical labels to SSDV facets
> --------------------------------------
>
> Key: LUCENE-10250
> URL: https://issues.apache.org/jira/browse/LUCENE-10250
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Marc D'Mello
> Priority: Major
> Labels: discussion
>
> Hi all,
> I recently [added a new benchmarking
> task|https://github.com/mikemccand/luceneutil/issues/141] to {{luceneutil}}
> to count facets on a random word chosen from each document which would give
> us a very high cardinality facet benchmarking compared to the faceting
> benchmarks we already had. After being merged, [~mikemccand] pointed out some
> [interesting
> results|https://home.apache.org/~mikemccand/lucenebench/BrowseRandomLabelTaxoFacets.html]
> in the nightly benchmarks where the {{BrowseRandomLabelSSDVFacets}} task was
> much faster than the {{BrowseRandomLabelTaxoFacets}} task.
> I was thinking that using SSDV facets instead of taxonomy facets for our use
> case at Amazon Product Search could potentially lead to some increases in QPS
> and decreases in index size, but the issue is we use hierarchical labels, and
> as I understand it, SSDV faceting only supports a 2 level hierarchy as of
> today. This leads to my question of why is there a limitation like this on
> SSDV facets? Is hierarchical labels just a feature that hasn't been
> implemented in SSDV facets yet, or is there some more complex reason that we
> can't add hierarchical labels to SSDV facets?
> Thanks!
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