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Posted to dev@lucene.apache.org by "Jacob Graves (JIRA)" <ji...@apache.org> on 2015/06/02 00:10:18 UTC

[jira] [Updated] (SOLR-7618) MultiFunction.anyExists - creating FunctionValues[] objects for every document

     [ https://issues.apache.org/jira/browse/SOLR-7618?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jacob Graves updated SOLR-7618:
-------------------------------
    Attachment: SOLR-7618.patch

> MultiFunction.anyExists - creating FunctionValues[] objects for every document
> ------------------------------------------------------------------------------
>
>                 Key: SOLR-7618
>                 URL: https://issues.apache.org/jira/browse/SOLR-7618
>             Project: Solr
>          Issue Type: Bug
>          Components: SearchComponents - other
>    Affects Versions: 5.1
>            Reporter: Jacob Graves
>            Priority: Minor
>              Labels: easyfix, newbie, patch, performance
>             Fix For: 5.1
>
>         Attachments: SOLR-7618.patch
>
>   Original Estimate: 2h
>  Remaining Estimate: 2h
>
> In the class org.apache.lucene.queries.function.valuesource.MultiFunction there is the following method signature (line 52)
>      public static boolean allExists(int doc, FunctionValues... values) 
> this method is called from the class org.apache.lucene.queries.function.valuesource.DualFloatFunction (line 68)
>      public boolean exists(int doc) {
>         return MultiFunction.allExists(doc, aVals, bVals);
>      }
> Because MultiFunction.allExists uses Java varargs syntax ("...") a new FunctionValues[] object will be created every time this call takes place.
> The problem is that the call takes place in a document level function, which means that it will create new objects in the heap for every document in the query results.
> for example if you use the following boost function (where ds and dc1 are both TrieDateField)
>      bf=min(ms(ds,dc1),604800000)
> You will get extra objects created for each document in the result set, which has a big impact on performance and memory usage if you are searching a large result set.



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