Memory Leak in shared Containers

Basic Reason for the leak:

Every time an application is deployed and un-deployed in a container, the application is given its own class loader (application class loader) by the container’s class loader. This application class loader might end up creating a cyclic reference to the container’s class loader, which makes it un-garbage collectible. From my observations getting rid of the application’s class loader from memory (1 to 2 MBs) could be a very difficult and tedious task because of the amount of third party tools we use, but can be contained, although not ideal.

Avoiding the leak from Crossing Threshold:

a) One Main Culprit : Spring Class Based Proxies

Many Enterprise applications use Spring, AOP and Hibernate as tools for their projects. With Hibernate comes the Session Factory beast in memory. The Hibernate Session Factories can become huge based on the project’s DB tables count and Hibernate Mapping Structure (150MB for the application that I work on). So when Session Factory gets attached to the un-garbage collectible Class Loader which has been left behind, we have huge memory leak in containers causing us losing valuable resources.

So how does this Session Factory get attached to the un-garbage collectible class loader?

Spring uses proxies to weave in Advices. Transactions are most commonly “AOP Advised” in Enterprise Applications using Declarative Transaction Management.

As you might know, there are 2 types of Proxies that Spring creates, based on the implementation of the class that needs to be advised

1) Interface Based Proxies – not a problem

Spring uses JDK proxies if there is an interface available for all the advised methods; this is the default type of proxy that is created. A new class is created with methods that needs to be advised, through which advises will be weaved in. A call is then delegated from the new class to the actual class that had to be advised.

2) Class Based Proxies – A Problem

Spring uses CGLIB to create proxies if an interface is not available for the existing methods that needs to be advised. This type of Proxy should be an exception in general, and it is only provided for backward compatibility for third party libraries that cannot be modified.
The problem here is CGLIB’s implementation leads it to tie a hard link between the Application Class Loader and the Session Factory when it is trying to advise the method of particular transaction choice.
Hence trying to avoid Class based proxies for Spring Transaction Management, in an application with an existing Class Loader leak, may avoid it from crossing the “Threshold” (2 MB to 154MB in a project that I was working on).

b) Some Third Party Libraries:

There are some third party tools that do the same thing of attaching itself to the class loader and creating a hard link between the runtime classes that they create and the class loader itself. Some examples that I know of right away are Dozer and Apache Common’s Logging.

So it looks like there is no good way to solve the problem of Application Class Loader’s Footprint leak in a Shared Container turning out of control, hence the intent of this article is to make one aware of the issues and point them in the right direction.

PermGen Space will be affected as well

Now this leak may also cause your PermGen Space run out of memory since the meta-inf about the loaded classes may not be garbage collected.

Krank Keviet has done a pretty good job explaining the issue in one of his blogs with respect to Perm Gen Space, a reference to his blog is below.


About shouab

I am Shouab working as Pr Software Engg. I have 6 plus years of experience in Enterprise Application Development. I have expertise in different J2EE frameworks like JSF,Spring,Hibernate, Smart Client, Oracle SOA, Weblogic Portal and many more.
This entry was posted in Uncategorized and tagged , , , , . Bookmark the permalink.

One Response to Memory Leak in shared Containers

  1. Muhammad Omar says:

    very Helpful article. I have to do extensive effort to find similar conclusion.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s