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Posted to dev@uima.apache.org by "Peter Klügl (JIRA)" <de...@uima.apache.org> on 2017/02/28 10:21:45 UTC

[jira] [Updated] (UIMA-5306) Memory Improvement - Unnecessary leaks

     [ https://issues.apache.org/jira/browse/UIMA-5306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Peter Klügl updated UIMA-5306:
------------------------------
    Affects Version/s:     (was: 2.3)
                       2.3.0ruta

> Memory Improvement - Unnecessary leaks
> --------------------------------------
>
>                 Key: UIMA-5306
>                 URL: https://issues.apache.org/jira/browse/UIMA-5306
>             Project: UIMA
>          Issue Type: Improvement
>          Components: Ruta
>    Affects Versions: 2.3.0ruta
>         Environment: Windows 10, JVM with -Xmx 1024, Java JDK 1.8., 16gb memory
>            Reporter: Dennis Bauer
>            Assignee: Peter Klügl
>
> In a productive setup we figured out, that there is a huge memory usage of Ruta itself. With JVisualVM it's easy to see, that there is a relative small amount of arrays of Arraylists but with a high memory consumption (250k instances result in 243 000 000 byte memory that are reserved)
> The problem is, that in a clustered SaaS environment with less memory, these arrays block relevant space in memory. A deeper look into these Arrays of Arraylist let suggest the class org.apache.uima.ruta.type.RutaBasic
> A look at this class show three arrays that are instanced with the max. possible value, that can be returned by the typesystem of CAS. 
> {code:Java}
>   private int[] partOf = new int[((TypeSystemImpl) getCAS().getTypeSystem()).getLargestTypeCode()];
>   private Collection<?>[] beginMap = new ArrayList<?>[((TypeSystemImpl) getCAS().getTypeSystem())
>           .getLargestTypeCode()];
>   private Collection<?>[] endMap = new ArrayList<?>[((TypeSystemImpl) getCAS().getTypeSystem())
>           .getLargestTypeCode()];
> 		  
> {code}
> In this improvement should be done an dynamic allocation of memory usage for these arrays, so the total memory consumption would be reduced.



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