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https://issues.apache.org/jira/browse/LUCENE-3262?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13123654#comment-13123654
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Shai Erera commented on LUCENE-3262:
------------------------------------

bq. Those number are scenario dependent but I think most cases I encountered 
are closer to my proposed numbers

I think we should maybe have a Wiki page or something with several .alg files 
that test different scenarios. I don't think that 1-120 is an example we 
shouldn't test. Rather, we should describe, either in a Wiki or a JIRA issue, 
the performance results for each scenario. And if the results are suspicious 
for a particular scenario, dig deeper and understand why.

So given that you know the numbers from above were run with that many facets 
per document, do the numbers make sense? Or you still think they're high?

bq. I would suggest renaming max.facet.length (in the alg) & maxFacetLengh (in 
the code) to max.facet.depth and maxFacetDepth

+1.
                
> Facet benchmarking
> ------------------
>
>                 Key: LUCENE-3262
>                 URL: https://issues.apache.org/jira/browse/LUCENE-3262
>             Project: Lucene - Java
>          Issue Type: New Feature
>          Components: modules/benchmark, modules/facet
>            Reporter: Shai Erera
>            Assignee: Doron Cohen
>         Attachments: CorpusGenerator.java, LUCENE-3262.patch, 
> LUCENE-3262.patch, LUCENE-3262.patch, TestPerformanceHack.java
>
>
> A spin off from LUCENE-3079. We should define few benchmarks for faceting 
> scenarios, so we can evaluate the new faceting module as well as any 
> improvement we'd like to consider in the future (such as cutting over to 
> docvalues, implement FST-based caches etc.).
> Toke attached a preliminary test case to LUCENE-3079, so I'll attach it here 
> as a starting point.
> We've also done some preliminary job for extending Benchmark for faceting, so 
> I'll attach it here as well.
> We should perhaps create a Wiki page where we clearly describe the benchmark 
> scenarios, then include results of 'default settings' and 'optimized 
> settings', or something like that.

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