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What are the most common (and often overlooked) causes of memory leaks in managed (.net) applications?

Tags:

.net

memory

Please can anyone recommend a quick checklist / best practice guide to help us avoid simple (but subtle) mistakes that cause could cause memory leaks in .net apps

I find it difficult and quite painful to begin searching for the cause of a memory leakage when i'm in the testing phase of a project.

If there are 'rules of thumb' to completely guide against memory leaks in managed applications, i implore you to please share your experience.

Thanks.

(I thought Managed applications are suppose to be 'memory managed' i.e. the GC? Why then do we still find leakages in purely managed code?)

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Charles Okwuagwu Avatar asked Mar 23 '09 10:03

Charles Okwuagwu


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2 Answers

There are many forms of leaks:

  • Unmanaged leaks (code that allocates unmanaged code)
  • Resource leaks (code that allocates and uses unmanaged resources, like files, sockets)
  • Extended lifetime of objects
  • Incorrect understanding of how GC and .NET memory management works
  • Bugs in the .NET runtime

The first two is usually handled by two different pieces of code:

  • Implementing IDisposable on the object and disposing of the unmanaged memory/resource in the Dispose method
  • Implementing a finalizer, to make sure unmanaged resources are deallocated when GC has found the object to be eligible for collection

The third, however, is different.

Say you are using a big list holding thousands of objects, totalling a significant size of memory. If you keep around a reference to this list for longer than you need to, you will have what looks like a memory leak. In addition, if you keep adding to this list, so that it grows with more data periodically, and old data is never reused, you definitely have a memory leak.

One source of this I've seen frequently is to attach methods to event handlers but forget to unregister them when you're done, slowly bloating the event handler both in size and code to execute.

The fourth, an incorrect understanding of how .NET memory management works can mean that you look at the memory usage in a process viewer and notice that your app keeps growing in memory usage. If you have lots and lots of memory available, GC might not run that often, giving you an incorrect picture of the current usage of memory, as opposed to mapped memory.

The fifth, that's harder, I've only seen one resource management bug in .NET so far and afaik it has been slated for fix in .NET 4.0, it was with copying the desktop screen into a .NET image.


Edit: In response to the question in the comments, how to avoid keeping references longer than necessary, then the only way to do that is to to just that.

Let me explain.

First, if you have a long-running method (for instance, it might be processing files on disk, or downloading something, or similar), and you used a reference to a big data-structure early in the method, before the long-running part, and then you don't use that data structure for the rest of the method, then .NET, in release-builds (and not running under a debugger) is smart enough to know that this reference, though it is held in a variable that is technically in scope, is eligible for garbage collection. The garbage collector is really aggressive in this respect. In debug-builds and running under a debugger, it will keep the reference for the life of the method, in case you want to inspect it when stopped at a breakpoint.

However, if the reference is stored in a field reference in the class where the method is declared, it's not so smart, since it's impossible to determine whether it will be reused later on, or at least very very hard. If this data structure becomes unnecessary, you should clear the reference you're holding to it, so that GC will pick it up later.

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Lasse V. Karlsen Avatar answered Oct 13 '22 01:10

Lasse V. Karlsen


The short answer is non-obvious references.

To add some details:

  • Statics are not collected until AppDomain is collected (which may equal process shutdown)
  • Events (remember to unsubscribe)
  • Blocked finalizers (finalizers are run sequentially so any blocking finalizer will prevent all other finalizable objects from being collected). Example includes finalizers that can't get to a STA thread.
  • Deadlocked thread will never release roots
  • Forgetting to call Monitor.Exit() (e.g. when used with a timeout or across methods) may cause a deadlock which in turn may cause a leak
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Brian Rasmussen Avatar answered Oct 13 '22 01:10

Brian Rasmussen