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Posted to dev@lucene.apache.org by "Doron Cohen (Commented) (JIRA)" <ji...@apache.org> on 2011/10/04 13:00:35 UTC
[jira] [Commented] (LUCENE-3262) Facet benchmarking
[ https://issues.apache.org/jira/browse/LUCENE-3262?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13120003#comment-13120003 ]
Doron Cohen commented on LUCENE-3262:
-------------------------------------
I am working on a patch for this, much in the lines of the Solr benchmark patch in SOLR-2646.
Currently the direction is:
- Add to PerfRunData:
-- Taxonomy Directory
-- Taxonomy Writer
-- Taxonomy Reader
- Add tasks for manipulating facets and taxonomies:
-- create/open/commit/close Taxonomy Index
-- open/close Taxonomy Reader
-- AddDocWith facets
- FacetDocMaker will also build the categories into the document
- FacetSource will bring back categories to be added to current doc
- ReadTask will be extended to also support faceted search.
This is different from the Solr benchmark approach, where a SolrSearchTask is not extending ReadTask but rather extending PerfTask.
Not sure yet if this is the way to go - still work to be done here.
Should have a start patch in a day or two.
> 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, 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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