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Using the powers of the debugger to solve the problems of the world - and a bag of chips    by Tess Ferrandez, ASP.NET Escalation Engineer (Microsoft)

.NET Memory: My object is not rooted, why wasn't it garbage collected?

.NET Memory: My object is not rooted, why wasn't it garbage collected?

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I got a comment on one of the posts asking this question and I started writing a comment-answer but it turned into a long-winded rant so I decided to blog it instead:)

So you're looking at a dump and run !gcroot on your object but it doesn't find a root. Then why is it still around on the heap...

There are many reasons for this but the short answer is:

It was still alive (rooted) last time a garbage collection for that specific generation was run.

This is not completely true... it could be that there is a problem with !gcroot in this specific case causing it to not find the root but this would be pretty rare. It could also be that you are running the workstation version where only partial collections are done if the garbage collection take too long, since the workstation GC is optimized for applications with UI and we dont want to block the UI threads causing the UI to flicker.

Short of this, we can go back to "the object was alive during the last collection" and take a look at some of the cases for this

Garbage collection is allocation triggered except for in a few cases such as the app manually calling GC.Collect() or the ASP.NET cache reduction mechanism for example.

What does this mean?

Simplified, each generation (0, 1, 2 and large object) has a limit. I.e. how much data can be stored in each generation before a garbage collection occurrs.  These limits are dynamically changed based on the applications memory usage.

When the application allocates a new object and the limit for generation 0 is exceeded, a gen 0 GC is triggered. Objects in use (rooted) are then moved to Gen 1. If this causes the Gen 1 limit to be exceeded a Gen 1 GC is triggered and objects in-use move to Gen 2 etc.  Gen 2 is currently the max generation. Large objects are treaded separately.

So let's say you perform a stress test, and then leave the server idle for 4 hours with no requests, this means that no new allocations are made and thus no new GC's are triggered so the memory used for the process will never get reduced. In essence, this does not mean that you have a memory leak, it just means that you are not triggering any new GC's.  A proper stress test should have some kind of slow-down period after the main stress.

Going back to the objects that are not rooted...

So now we know that the most likely reason is that a garbage collection of that generation has not occurred since the object was unrooted.

Another alternative is that the object has a finalizer method, and thus is registered (and rooted) with the finalizer and will therefore be held until the finalizer thread gets around to finalizing it.  Or it could be a member variable of an object with a finalizer.

This would not show up in !gcroot, but you can see the object show up in !finalizequeue. 

Implementing a finalize method (even if there is no code in it) will automatically put your object on the finalizequeue which means that your object will survive at least one garbage collection, therefore you should carefully consider if your object really needs a finalizer.

Worst case scenario your finalizer might be blocked so it will take a long time for your object to be finalized if ever...   (run !threads to identify the finalizer thread and check if perhaps it is stuck when finalizing objects).  I have on my todo list to write a "case study" on blocked finalizers.

Another alternative is that the object you are looking at is a "large object", or a member variable of a "large object". Garbage collection of the large object heap is much more infrequent than the small object heap, which means that any object that is stored on the large object heap may stay around for a substantial amount of time.

Finally, if you have a repro, you can try calling


and see if your object is still around after executing this.

This will garbage collect all generations (including large object), then execute any finalizers, and then garbage collect again to take care of all the objects that had finalizers.

The specific question in the comment was "could this be because it is used in interop?"

The answer is no, w
ith interop if your object was still in-use it would be rooted in a refcount, or as a pinned object or similar, depending on how it was created and used.

Note: this is by no means an exhaustive list of all reasons, it's just the most common ones that came to my mind when reading the comment, but at least hopefully it should somewhat explain why you see unrooted objects on the heap...

I would recommend that you take a peak at Maoni's blog on using the GC efficiently (in the blogs i read section) if want an interesting read on what the GC does.

Happy debugging!


  • "since the workstation GC is optimized for applications with UI"

    Can you please explain this in detail. Actually our application is getting OutOfMemory Exceptions when it is being used for some time. This is an WinForm application with Three tiers. This is being on Terminal Servers. Can you please tell me if Terminal Server Garbage Collection will be different than the normal Desktops. We are getting different feedbacks from Terminal Server users and Desktop users.

  • The concurrent workstation version is optimized for UI applications in the sense that it tries to minimize the time that the process is blocked while doing a GC.  This means that the collections are not as thorough, which in turn means that some objects stay around for longer than they would if using the server gc.

    Someone would have to take a look at your specific case more in detail, but there is nothing specific about the GC on terminal server.  What it sounds like might be happening, is if you have multiple people logging in to the same terminal server session, so you have a lot of instances of your app running, you might be running into a situation where you are simply running out of RAM+page file, so you are running low on the amount of virtual memory you can use, therefore getting an OOM.

  • I've been reading some of your posts and found them very useful in helping me tracking down an OOM issue at production environment. However I haven't completely figured out the root cause yet so I wonder if you could help take a look at my case.

    We have a CAO remoting object hosted by IIS. The remoting object loads large amount of data and performs lengthy tasks. I know its not good practice but the application is written and is not easy to rewrite so we have to work with it. The remote object implemented IDispose and client calls Dispose at the end to release all the resources.

    The application runs on a Win2003 server with 3.5 GB RAM. In machine.config file we set memory limit to 60% so in theory ASP.NET could use up to 2GB RAM. In performance monitor the CLR memory LOH and GEN 2 shoot up to 800MB and 200MB respectively , and the process private bytes also shoot up to close to 1 GB so most of the memory are managed objects.  I noticed that both GEN 2 and LOH kept increasing and never going down during and after processing. After the process finish I performed a hang dump, and found that the remote object is rooted (very long life time) but only has 7K in size (so Dispose is effective in releasing objects). I tracked down many objects and they are all UN-rooted. But when I perform the same task again (create another CAO instance and processing large amount of data), we got OOM. The Gen 2 GC collect count stayed flat at 15 since the first test. There are many Gen 1 collects, but I couldn't figure out why there is so few Gen 2 collects. Since most objects on the heap are not rooted, why it doesn't perform full collect when large allocation is needed? Could this be specific to Win2k3 with .net 1.1 sp1? Our client doesn't have a different server to test so I don't know if the issue will appear in different environment. Since RAM is huge, would the page file size matter? They currently set at 2GB, but we'll do some more testing with different size later. I haven't used GC.Collect yet, but if nothing works I might try. The application is complex and the rewrite effort is huge.

    I'd appreciate if you could offer any advice.

  • It's very hard to say without looking at the heap, but you can try running !objsize without parameters to see if there is something that is holing on to a lot of large objects

  • Eduardo,

    If you have implemented IDisposable on your objects, then are you making sure that you manually call Dispose() on each object that you no longer need?  You must manually call Dispose() or the objects will get put on the finalization queue and stick around for at least one more generation.

    Also, you should not implement IDisposable at all on an object unless you absolutely must use it to free up unmanaged resources.  If the object does not explicitly contain any unmanaged resources, you should not be implementing IDisposable (or a finalizer/destructor) at all.  I recently discovered a problem in our application in which we were allocating many instances of a certain type of IDisposable object, and the finalizer thread couldn't keep up, so the memory use just ballooned and then threw an out of memory exception.  It turned out that there was no reason for the object to be IDisposable, so I just got rid of the IDisposable code and the finalizer/desctructor, and the application ran nicely again.

    Hope this helps,


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