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https://issues.apache.org/jira/browse/LUCENE-1195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12572913#action_12572913
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Yonik Seeley commented on LUCENE-1195:
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{quote}When faceting(iterating all terms), will each term be looked up twice in
dictionary?{quote}
No, but consider the case of one thread iterating over all the terms in a field
(due to faceting, a range query, prefix query, etc) That would tend to destroy
the cache for other threads doing simple queries unless a way could be found to
bypass the cache during enumeration somehow, or make each cache thread specific.
> Performance improvement for TermInfosReader
> -------------------------------------------
>
> Key: LUCENE-1195
> URL: https://issues.apache.org/jira/browse/LUCENE-1195
> Project: Lucene - Java
> Issue Type: Improvement
> Components: Index
> Reporter: Michael Busch
> Assignee: Michael Busch
> Priority: Minor
> Fix For: 2.4
>
>
> Currently we have a bottleneck for multi-term queries: the dictionary lookup
> is being done
> twice for each term. The first time in Similarity.idf(), where
> searcher.docFreq() is called.
> The second time when the posting list is opened (TermDocs or TermPositions).
> The dictionary lookup is not cheap, that's why a significant performance
> improvement is
> possible here if we avoid the second lookup. An easy way to do this is to add
> a small LRU
> cache to TermInfosReader.
> I ran some performance experiments with an LRU cache size of 20, and an
> mid-size index of
> 500,000 documents from wikipedia. Here are some test results:
> 50,000 AND queries with 3 terms each:
> old: 152 secs
> new (with LRU cache): 112 secs (26% faster)
> 50,000 OR queries with 3 terms each:
> old: 175 secs
> new (with LRU cache): 133 secs (24% faster)
> For bigger indexes this patch will probably have less impact, for smaller
> once more.
> I will attach a patch soon.
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