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https://issues.apache.org/jira/browse/JCR-3513?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13574307#comment-13574307
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Tom Quellenberg commented on JCR-3513:
--------------------------------------

Hallo Alex,

my stack trace looks like this

Term.compareTo(Term) line: 114  
TermInfosReader.get(Term, boolean) line: 212    
TermInfosReader.get(Term) line: 179     
SegmentTermDocs.seek(Term) line: 57     
DirectoryReader$MultiTermDocs.termDocs(int) line: 1224  
DirectoryReader$MultiTermDocs.read(int[], int[]) line: 1177     
ReadOnlyIndexReader$FilteredTermDocs.read(int[], int[]) line: 257       
DirectoryReader$MultiTermDocs.read(int[], int[]) line: 1182     
MultiTermQueryWrapperFilter<Q>.getDocIdSet(IndexReader) line: 122       
ConstantScoreQuery$ConstantScorer.<init>(ConstantScoreQuery, Similarity, 
IndexReader, Weight) line: 122 
ConstantScoreQuery$ConstantWeight.scorer(IndexReader, boolean, boolean) line: 
86        
BooleanQuery$BooleanWeight.scorer(IndexReader, boolean, boolean) line: 306      
JackrabbitIndexSearcher(IndexSearcher).search(Weight, Filter, Collector) line: 
210      
JackrabbitIndexSearcher(Searcher).search(Query, Collector) line: 67     


My code ends up on a TermInfosReader, too. The conclusion, that the Lucene code 
does not use a cache, sounds reasonable to me.

For me there are two solutions:
# change the code, so that lucene uses a cached reader. (I have no idea how to 
achieve this)
# avoid the usage of the MultiTermQueryWrapperFilter

We go with the second solution and removed the method 
org.apache.jackrabbit.core.query.lucene.RangeQuery.rewrite(IndexReader). In the 
super class, this method returns 'this' and thus the Jackrabbit RangeQuery is 
used always. I'm not sure whether this will solve your problem.
                
> Slower range query execution
> ----------------------------
>
>                 Key: JCR-3513
>                 URL: https://issues.apache.org/jira/browse/JCR-3513
>             Project: Jackrabbit Content Repository
>          Issue Type: Improvement
>    Affects Versions: 2.4.3
>            Reporter: Tom Quellenberg
>            Assignee: Alex Parvulescu
>
> After switching from JachRabbit 1.6.4 to 2.4.3 we experienced extreme slow 
> query executions. All range query on date fields are often 10 times slow than 
> before.
> In our repositories more than 1 million documents are stored which all 
> contain for example a creation date. Typical queries look like this:
> //element(*, sophora-nt:story)[@sophora:creationDate > ...]
> JackRabbit has its own RangeQuery implementation which is used when Lucene 
> throws a TooManyBooleanClauses-exception (and in some other situations, too). 
> This worked well in Jackrabbit 1.6. In newer versions a different Lucene 
> library is used which never throws TooManyBooleanClauses exceptions. Instead, 
> is has its own fall-back in situations where a BooleanQuery does not work. 
> This fall-back with a MultiTermQueryWrapperFilter seams to us much slower 
> than the fall-back implementation in JackRabbit (Does anybody know the 
> reason?). It is the same situation in Jackrabbit 2.6.0 (with Lucene 3.6.0)
> We patched org.apache.jackrabbit.core.query.lucene.RangeQuery to never use 
> org.apache.lucene.search.TermRangeQuery but always use the JackRabbit 
> implementation. This leads to query executions as fast as in older Jackrabbit 
> versions.
> Do other people experience this problem? Are there any drawbacks using always 
> the JackRabbit implementation for range queries? 

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