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https://issues.apache.org/jira/browse/LUCENE-6842?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14963251#comment-14963251
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Bala Kolla commented on LUCENE-6842:
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Yes we literally have thousands of fields (may be a million), I will come back 
to you on the exact number. BTW, I am not really seeing OOM as our application 
stops accepting the requests once the exhausted. 
[~dawid.weiss], I don't think the core issue is the Java version. I think its 
to do with the many number of unique fields as suggested by [~mikemccand].
Also, this memory exhaustion happens by simply opening the index and starting a 
new search. I am guessing that its trying to load all the fields into memory 
and wanted to know if there is a way to either limit the number of fields 
loaded. I would take a hit on performance by limiting the fields loaded into 
memory than stopping the entire application.
If there is no way to limit the fields loaded into memory, then I will go back 
to my team and question the indexing rules that we have.

Thanks and appreciate your help.

> No way to limit the fields cached in memory and leads to OOM when there are 
> thousand of fields (thousands)
> ----------------------------------------------------------------------------------------------------------
>
>                 Key: LUCENE-6842
>                 URL: https://issues.apache.org/jira/browse/LUCENE-6842
>             Project: Lucene - Core
>          Issue Type: Bug
>          Components: core/search
>    Affects Versions: 4.6.1
>         Environment: Linux, openjdk 1.6.x
>            Reporter: Bala Kolla
>         Attachments: HistogramOfHeapUsage.png
>
>
> I am opening this defect to get some guidance on how to handle a case of 
> server running out of memory and it seems like it's something to do how we 
> index. But want to know if there is anyway to reduce the impact of this on 
> memory usage before we look into the way of reducing the number of fields. 
> Basically we have many thousands of fields being indexed and it's causing a 
> large amount of memory being used (25GB) and eventually leading to 
> application to hang and force us to restart every few minutes.



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