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Marcel Reutegger commented on JCR-2353:
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It turns out the slowdown is not related to SortedLuceneQueryHits. With Jackrabbit 1.6 we
also switched to Lucene 2.4.1 and one special handling in our RangeQuery implementation become
obsolete [0]. It seems the Lucene replacement is a bit slower than what we previously had.
I'll revert the changed to this class.
Please also note that you can reduce the query time further when you set a limit on the number
of results. However, the method Query.setLimit() is only available in JCR 2.0. For 1.6 you'd
have to cast the query to QueryImpl.
[0] http://svn.apache.org/viewvc/jackrabbit/trunk/jackrabbit-core/src/main/java/org/apache/jackrabbit/core/query/lucene/RangeQuery.java?r1=752064&r2=756444
> Poor performance in range queries using dates
> ---------------------------------------------
>
> Key: JCR-2353
> URL: https://issues.apache.org/jira/browse/JCR-2353
> Project: Jackrabbit Content Repository
> Issue Type: Improvement
> Components: jackrabbit-core
> Affects Versions: 1.6.0
> Reporter: Matt Johnston
>
> I am evaluating migrating from 1.5 to 1.6. I created several test cases that prove the
query performance of 1.6 is the same or better than 1.5. That is until I add a date property
into my query. The repository has 400,000 nodes. Each node as several string based properties
(@property, @property2, ...) and a date based property (@datestart). Every node has a relatively
unique datestart and the total date range spans 6 years.
> In my tests, my base query is:
> //element(*,my:namespace)[@property='value'] order by @datestart descending
> The time to run this query in 1.5 and 1.6 is:
> 1.5 = 1.5 seconds
> 1.6 = 1.5 seconds
> If I add a date property:
> //element(*,my:namespace)[@property='value' and @datestart<=xs:dateTime('2009-09-24T11:53:23.293-05:00')]
order by @datestart descending
> the results are:
> 1.5 = 1.5 seconds
> 1.6 = 3.5 seconds
> I have isolated the slow down to the implementation of SortedLuceneQueryHits. SortedLuceneQueryHits
is not present in 1.5. I have run versions of the test where the query is run 20 times simultaneously
and a different time where the query is run 20 times sequentially. In both tests I do see
evidence that caching is taking place, but it provides only very minor performance gains.
Also, running the 1.6 query multiple times does not decrease the query time dramatically.
> http://www.nabble.com/Date-Property-Performance-in-1.6-td25704607.html
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