SimpleFacets: Performance Boost for Tokenized Fields for smaller DocSet using
Term Vectors
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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
>From
>[url]http://www.nabble.com/SimpleFacets%3A-Performance-Boost-for-Tokenized-Fields-td19033760.html[/url]:
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:
{{
public NamedList getFacetTermEnumCounts(
SolrIndexSearcher searcher,
DocSet docs,
String field,
int offset,
int limit,
int mincount,
boolean missing,
boolean sort,
String prefix)
throws IOException {...}
}}
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