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Posted to oak-issues@jackrabbit.apache.org by "Chetan Mehrotra (JIRA)" <ji...@apache.org> on 2015/04/09 12:18:13 UTC

[jira] [Resolved] (OAK-2730) Faster result count estimation for QueryResult on lines of resultFetchSize support in JR2

     [ https://issues.apache.org/jira/browse/OAK-2730?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Chetan Mehrotra resolved OAK-2730.
----------------------------------
       Resolution: Won't Fix
    Fix Version/s:     (was: 1.3.0)

Given the comments above resolving this as Wont Fix!

> Faster result count estimation for QueryResult on lines of resultFetchSize support in JR2
> -----------------------------------------------------------------------------------------
>
>                 Key: OAK-2730
>                 URL: https://issues.apache.org/jira/browse/OAK-2730
>             Project: Jackrabbit Oak
>          Issue Type: New Feature
>          Components: query
>            Reporter: Chetan Mehrotra
>
> Currently in Oak while fetching the result size for a query the time taken is proportional to the result size. This would not perform well when result size is big. The complete traversal is required to perform ACL check to ensure that result count is *accurate*
> JR2 used to support {{resultFetchSize}} (default to integer max).  This was used to get an estimate of possible result count whereby the count might not be accurate.
> Per [~mreutegg] this feature worked like below
> {quote}
> If resultFetchSize is set to 50 then QueryEngine will initially collect up to 50 nodes the current session is allowed to read from the raw lucene result set. While doing that, it counts the number of nodes denied by access control checks. The result size reported is then calculated as: raw-lucene-result-size - number-of-nodes-denied. The resultFetchSize is double and the query executed again if a client iterates passed the currently available nodes. If it is required to have an exact result size, then the configuration for 'resultFetchSize' can be increased to a much higher value. However, this has a severe performance impact for large result sets, because the query will now have to apply access control checks for the complete result set
> {quote}



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