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https://issues.apache.org/jira/browse/LUCENE-3262?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13123650#comment-13123650
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Gilad Barkai commented on LUCENE-3262:
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Doron, great patch!
I ran it and was somewhat surprised at the large overhead of the facet
indexing. Digging deeper, I found the number of random facets to be 1-120 per
document, with depth of 1-8. I believe those are overkill requirements. I
reduced those to 1-*20* per document with depth of 1-*3* and got results I
could live with.
Those number are scenario dependent but I think most cases I encountered are
closer to my proposed numbers. What do you think?
Also, I changed the alg to consume the entire content source.
I would suggest renaming max.facet.length (in the alg) & maxFacetLengh (in the
code) to max.facet.*depth* and maxFacetDepth. Depth seems more appropriate.
Other than that - I'm thrilled to have a working benchmark with facets - thanks!
> 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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