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Posted to solr-dev@lucene.apache.org by "Fuad Efendi (JIRA)" <ji...@apache.org> on 2008/12/17 17:49:44 UTC
[jira] Closed: (SOLR-711) SimpleFacets: Performance Boost for
Tokenized Fields for smaller DocSet using Term Vectors
[ https://issues.apache.org/jira/browse/SOLR-711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Fuad Efendi closed SOLR-711.
----------------------------
Resolution: Fixed
Thanks Shalin for pointing to SOLR-475 which is very advanced solution to term counting approach.
> SimpleFacets: Performance Boost for Tokenized Fields for smaller DocSet using Term Vectors
> ------------------------------------------------------------------------------------------
>
> Key: SOLR-711
> URL: https://issues.apache.org/jira/browse/SOLR-711
> Project: Solr
> Issue Type: Improvement
> Components: search
> Affects Versions: 1.3
> Reporter: Fuad Efendi
> Fix For: 1.4
>
> Original Estimate: 1680h
> Remaining Estimate: 1680h
>
> From [http://www.nabble.com/SimpleFacets%3A-Performance-Boost-for-Tokenized-Fields-td19033760.html]:
> Scenario:
> - 10,000,000 documents in the index;
> - 5-10 terms per document;
> - 200,000 unique terms for a tokenized field.
> _Obviously calculating sizes of 200,000 intersections with FilterCache is 100 times slower than traversing 10 - 20,000 documents for smaller DocSets and counting frequencies of Terms._
> Not applicable if size of DocSet is close to total number of unique tokens (200,000 in our scenario).
> See SimpleFacets.java:
> {code}
> public NamedList getFacetTermEnumCounts(
> SolrIndexSearcher searcher,
> DocSet docs, ...
> {code}
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