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https://issues.apache.org/jira/browse/AXIS2-3011?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12515738
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Dustin Amrhein commented on AXIS2-3011:
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Jarek,
With regards to the attached patch. Is it suitable to always return the same
ConfigurationContext with no scoping attached to the caching? For example, if
this code is running within an app server process and there are multiple J2EE
modules that have services with the exact same name, could returning the same
ConfigurationContext cause a problem? I'm not sure of the answer just wanted to
pose the question.
> ServiceDescription caching leads to memory leak
> -----------------------------------------------
>
> Key: AXIS2-3011
> URL: https://issues.apache.org/jira/browse/AXIS2-3011
> Project: Axis 2.0 (Axis2)
> Issue Type: Bug
> Components: jaxws
> Reporter: Jarek Gawor
> Assignee: Ann Robinson
> Attachments: AXIS2-3011.patch
>
>
> The DescriptionFactoryImpl.createServiceDescription() function attempts to
> cache/reuse the ServiceDescription objects and that leads to memory leaks.
> First, a Hashtable is used for the cache. That means, any ServiceDescription
> created will always live in the cache and won't ever be reclaimed (and there
> is no clear cache function). Some sort of WeakHashMap could help the problem
> so that at least some unused ServiceDescription objects could be reclaimed.
> Second, the createServiceDescription() uses the
> DescriptionFactory.createClientConfigurationFactory().getClientConfigurationContext()
> to get the client configuration context. It looks like by default the
> ClientConfigurationFactory.getClientConfigurationContext() does NOT cache the
> configuration context. Therefore, each call creates a new configuration
> object. That means, that by default ServiceDescription will NOT be reused
> since the configuration context object instance is used to determine if the
> ServiceDescription should be reused or not (see DescriptionKey.equals()
> function).
> So, a simple program that calls createServiceDescription() repeatably in a
> loop (with the same arguments) will quickly run out of memory.
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