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https://issues.apache.org/jira/browse/SOLR-711?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12657362#action_12657362
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Shalin Shekhar Mangar commented on SOLR-711:
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With the new performance changes in faceting with SOLR-475, is this issue still
relevant?
> 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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