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From "Marshall Schor (JIRA)" <...@uima.apache.org>
Subject [jira] [Resolved] (UIMA-3691) support multi-threaded shared contexts for CasPools for CAS Multipliers
Date Fri, 11 Apr 2014 19:04:17 GMT

     [ https://issues.apache.org/jira/browse/UIMA-3691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Marshall Schor resolved UIMA-3691.
----------------------------------

    Resolution: Fixed

> support multi-threaded shared contexts for CasPools for CAS Multipliers
> -----------------------------------------------------------------------
>
>                 Key: UIMA-3691
>                 URL: https://issues.apache.org/jira/browse/UIMA-3691
>             Project: UIMA
>          Issue Type: Improvement
>          Components: Core Java Framework
>    Affects Versions: 2.5.0SDK
>            Reporter: Marshall Schor
>            Assignee: Marshall Schor
>            Priority: Minor
>             Fix For: 2.6.0SDK
>
>
> The current UIMA framework design is quite flexible when it comes to producing analysis
engines (AEs), to allow various scale-outs on a single JVM. When scaled out, via multiple
instances of the AEs, it's possible to have the multiple instances share the UIMA Context
(by passing a reference to it in additional params). The current design for CAS Multipliers
creates a pool for each CAS Multiplier, and hangs it off of the UIMA Context.  The problem
with this approach is that if the scaleout approach chooses to share a common UIMA Context
with all scaled out instances, then the CAS pool will run out of CASes.  A better design is
to hang the pool off of an object that will scale with the Annotator itself, rather than the
shared context.  This can be done by changing the implementation of getEmptyCas() in the CasMultiplier_implBase
class(es).  The current implementation calls the same method on the (potentially shared) UIMA
Context object; this could be deprecated with a note saying that this will still work, but
not with scaled out impls that share the UIMA context object.



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