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https://issues.apache.org/jira/browse/NIFI-5770?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16670090#comment-16670090
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ASF GitHub Bot commented on NIFI-5770:
--------------------------------------

GitHub user bdesert opened a pull request:

    https://github.com/apache/nifi/pull/3117

    NIFI-5770 Fix Memory Leak in ExecuteScript on Jython

    Moved module appending (aka classpath in python) into init stage instead of 
running each time onTrigger.
    
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You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/bdesert/nifi NIFI-5770_ExecuteScript

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/nifi/pull/3117.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #3117
    
----
commit e6837c81e84b2d7fa29b020c8192b4a2a9783e18
Author: Ed B <eberezitsky@...>
Date:   2018-10-31T13:10:27Z

    NIFI-5770 Fix Memory Leak in ExecuteScript on Jython
    
    Moved module appending (aka classpath in python) into init stage instead of 
running each time onTrigger.

----


> Memory Leak in ExecuteScript
> ----------------------------
>
>                 Key: NIFI-5770
>                 URL: https://issues.apache.org/jira/browse/NIFI-5770
>             Project: Apache NiFi
>          Issue Type: Bug
>          Components: Core Framework
>    Affects Versions: 1.8.0
>            Reporter: Ed Berezitsky
>            Assignee: Ed Berezitsky
>            Priority: Major
>              Labels: features, performance
>         Attachments: ExecuteScriptMemLeak.xml, jython_modules.zip
>
>
> ExecuteScript with Jython engine has memory leak.
>  It uses JythonScriptEngineConfigurator class to configure jython execution 
> environment.
>  The problem is in the line:
> {code:java}
> engine.eval("sys.path.append('" + modulePath + "')");{code}
> There is no check if a module has already been added previously.
>  As a result, with each execution (onTrigger), string value of module 
> property is being appended, and never reset.
> Although InvokeScriptedProcessor uses the same engine configurator, memory 
> leak is not reproducable in it,
>  because ISP builds the engine and compile the code only once (and rebuilds 
> every time any relevant property is changed).
>  Attached:
>  * template with a flow to reproduce the bug
>  * simple python modules (to be unpacked under /tmp)



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