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Understanding garbage collection in .NET
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Closed 7 years ago.
I'm learning C# coming from python and wish to know how the C# garbage collector works - I found that I understood a lot more about python once I figured out what it was doing behind the scenes, and wish to avoid making the sort of noob errors I made at first when learning python.
I've not been able to find any good clear explanations of when an item is garbage collected and am left with questions such as
"What happens to an object when its last reference passes out of scope?" Does that object get garbage collected or is it still there when you pass back into the scope in which it was defined?
"At what point is the number of refernces decremented?" Leading me to wonder whether it even uses reference counting or some other technique...
Answers to these, or even better a clear consise overview of what's actually going on will win cookies (or upvotes), and even better if your answer compares it to the python way of doing things. I'm not interested in which is better, just the details. Also answers on my original post on programmers.stackexchange would be much appreciated...
The dotnet GC engine is a mark-and-sweep engine rather than a reference-counter engine like you're used to in python. The system doesn't maintain a count of references to a variable, but rather runs a "collection" when it needs to reclaim RAM, marking all of the currently-reachable pointers, and removing all the pointers that aren't reachable (and therefore are out of scope).
You can find out more about how it works here:
http://msdn.microsoft.com/en-us/library/ee787088.aspx
The system finds "reachable" objects by starting at specific "root" locations, like global objects and objects on the stack, and traces all objects referenced by those, and all the objects referenced by those, etc., until it's built a complete tree. This is faster than it sounds.
At some indeterminate point in time after the last reference to an object disappears, the object will be collected.
The second part of your first question doesn't make sense.
If you can get back into the scope in which an object was defined (eg, a lambda expression), there is obviously still a reference.
The GC does not use reference counting at all.
Rather, it uses a mark-and-sweep algorithm.
Garbage collection is not triggered by references going out of scope. Garbage collection is usually triggered when allocating storage for new objects - specifically when generation zero's budget is exhausted. I.e. there may be a significant delay between when objects are eligible for garbage collection and when they are actually collected. As others have already pointed out, the CLR doesn't use reference counting. Instead it employs a mark and sweep approach.
A good source of information on all the details about how garbage collection works is Jeffrey Ricther's book CLR via C#. The book goes into great detail about how the heap is partitioned and how garbage collection works. Highly recommended if you're interested in .NET implementation details.
When an object no longer has a strong reference to it, nothing immediately happens. Each object is assigned a generation, 0, 1, or 2. Initially, all objects are placed in the 0 generation. Using the Mark-and-Sweep algorithm, the garbage collector will periodically check a generation. If the instance still has any strong references, it is promoted to a higher generation up to 2 (Which are usually checked less frequently). The theory behind this is that most objects are generally short lived, so if an object has lived long enough to make it to Generation 1, it doesn't need to be checked as often.
There is no reference counting in the .NET GC. Rather it uses mark and sweep.
Related
Today I have seen a piece of code that first seemed odd to me at first glance and made me reconsider. Here is a shortened version of the code:
if(list != null){
list.Clear();
list = null;
}
My thought was, why not replace it simply by:
list = null;
I read a bit and I understand that clearing a list will remove the reference to the objects allowing the GC to do it's thing but will not "resize". The allocated memory for this list stays the same.
On the other side, setting to null would also remove the reference to the list (and thus to its items) also allowing the GC to do it's thing.
So I have been trying to figure out a reason to do it the like the first block. One scenario I thought of is if you have two references to the list. The first block would clear the items in the list so even if the second reference remains, the GC can still clear the memory allocated for the items.
Nonetheless, I feel like there's something weird about this so I would like to know if the scenario I mentioned makes sense?
Also, are there any other scenarios where we would have to Clear() a list right before setting the reference to null?
Finally, if the scenario I mentioned made sense, wouldn't it be better off to just make sure we don't hold multiple references to this list at once and how would we do that (explicitly)?
Edit: I get the difference between Clearing and Nulling the list. I'm mostly curious to know if there is something inside the GC that would make it so that there would be a reason to Clear before Nulling.
The list.Clear() is not necessary in your scenario (where the List is private and only used within the class).
A great intro level link on reachability / live objects is http://levibotelho.com/development/how-does-the-garbage-collector-work :
How does the garbage collector identify garbage?
In Microsoft’s
implementation of the .NET framework the garbage collector determines
if an object is garbage by examining the reference type variables
pointing to it. In the context of the garbage collector, reference
type variables are known as “roots”. Examples of roots include:
A reference on the stack
A reference in a static variable
A reference in another object on the managed heap that is not eligible for garbage
collection
A reference in the form of a local variable in a method
The key bit in this context is A reference in another object on the managed heap that is not eligible for garbage collection. Thus, if the List is eligible to be collected (and the objects within the list aren't referenced elsewhere) then those objects in the List are also eligible to be collected.
In other words, the GC will realise that list and its contents are unreachable in the same pass.
So, is there an instance where list.Clear() would be useful? Yes. It might be useful if you have two references to a single List (e.g. as two fields in two different objects). One of those references may wish to clear the list in a way that the other reference is also impacted - in which list.Clear() is perfect.
This answer started as a comment for Mick, who claims that:
It depends on which version of .NET you are working with. On mobile platforms like Xamarin or mono, you may find that the garbage collector needs this kind of help in order to do its work.
That statement is begging to be fact checked. So, let us see...
.NET
.NET uses a generational mark and sweep garbage collector. You can see the abstract of the algorithm in What happens during a garbage collection
. For summary, it goes over the object graph, and if it cannot reach a object, that one can be erased.
Thus, the garbage collector will correctly identify the items of the list as collectible in the same iteration, regardless of whatever or not you clear the list. There is no need to decouple the objects beforehand.
This means that clearing the list does not help the garbage collector on the regular implementation of .NET.
Note: If there were another reference to the list, then the fact that you cleared the list would be visible.
Mono and Xamarin
Mono
As it turns out, the same is true for Mono.
Xamarin.Android
Also true for Xamarin.Android.
Xamarin.iOS
However, Xamarin.iOS requires additional considerations. In particular, MonoTouch will use wrapped Objective-C objects which are beyond the garbage collector. See Avoid strong circular references under iOS Performance. These objects require different semantics.
Xamarin.iOS will minimize the use of Objetive-C objects by keeping a cache:
C# NSObjects are also created on demand when you invoke a method or a property that returns an NSObject. At this point, the runtime will look into an object cache and determine whether a given Objective-C NSObject has already been surfaced to the managed world or not. If the object has been surfaced, the existing object will be returned, otherwise a constructor that takes an IntPtr as a parameter is invoked to construct the object.
The system keeps these objects alive even there are no references from managed code:
User-subclasses of NSObjects often contain C# state so whenever the Objective-C runtime performs a "retain" operation on one of these objects, the runtime creates a GCHandle that keeps the managed object alive, even if there are no C# visible references to the object. This simplifies bookeeping a lot, since the state will be preserved automatically for you.
Emphasis mine.
Thus, under Xamarin.iOS, if there were a chance that the list might contain wrapped Objetive-C objects, this code would help the garbage collector.
See the question How does memory management works on Xamarin.IOS, Miguel de Icaza explains in his answer that the semantics are to "retain" the object when you take a reference and "release" it when the reference is null.
On the Objetive-C side, "release" does not mean to destroy the object. Objetive-C uses a reference count garbage collector. When we "retain" the object the counter is incremented and when we "release" the counter is decreased. The system destroys the object when the counter reaches zero. See: About Memory Management.
Therefore, Objetive-C is bad at handling circular references (if A references B and B references A, their reference count is not zero, even if they cannot be reached), thus, you should avoid them in Xamarin.iOS. In fact, forgetting to decouple references will lead to leaks in Xamarin.iOS... See: Xamarin iOS memory leaks everywhere.
Others
dotGNU also uses a generational mark and sweep garbage collector.
I also had a look at CrossNet (that compiles IL to C++), it appears they attempted to implement it too. I do not know how good it is.
It depends on which version of .NET you are working with. On mobile platforms like Xamarin or mono, you may find that the garbage collector needs this kind of help in order to do its work. Whereas on desktop platforms the garbage collector implementation may be more elaborate. Each implementation of the CLI out there is going to have it's own implementation of the garbage collector and it is likely to behave differently from one implementation to another.
I can remember 10 years ago working on a Windows Mobile application which had memory issues and this sort of code was the solution. This was probably due to the mobile platform requiring a garbage collector that was more frugal with processing power than the desktop.
Decoupling objects helps simplify the analysis the garbage collector needs to do and helps avoid scenarios where the garbage collector fails to recognise a large graph of objects has actually become disconnected from all the threads in your application. Which results in memory leaks.
Anyone who believes you can't have memory leaks in .NET is an inexperienced .NET developer. On desktop platforms just ensuring Dispose is called on objects which implement them may be enough, however with other implementations you may find it is not.
List.Clear() will decouple the objects in the list from the list and each other.
EDIT: So to be clear I'm not claiming that any particular implementation currently out there is susceptible to memory leaks. And again depending on when this answer is read the robustness of the garbage collector on any implementation of the CLI currently out there could have changed since the time writing this.
Essentially I'm suggesting if you know that your code needs to be cross platform and used across many implementations of the .NET framework, especially implementations of the .NET framework for mobile devices, it could be worth investing time into decoupling objects when they are no longer required. In that case I'd start off by adding decoupling to classes that already implement Dispose, and then if needed look at implementing IDisposable on classes that don't implement IDisposable and ensuring Dispose is called on those classes.
How to tell for sure if it's needed? You need to instrument and monitor the memory usage of your application on each platform it is to be deployed on. Rather than writing lots of superfluous code, I think the best approach is to wait until your monitoring tools indicate you have memory leaks.
As mentioned in the docs:
List.Clear Method (): Count is set to 0, and references to other
objects from elements of the collection are also released.
In your 1st snippet:
if(list != null){
list.Clear();
list = null;
}
If you just set the list to null, it means that you release the reference of your list to the actual object in the memory (so the list itself is remain in the memory) and waiting for the Garbage Collector comes and release its allocated memory.
But the problem is that your list may contain elements that hold a reference to another objects, for example:
list → objectA, objectB, objectC
objectB → objectB1, objectB2
So, after setting the list to null, now list has no reference and it should be collected by Garbage Collector later, but objectB1 and objectB2 has a reference from objectB (still be in the memory) and because of that, Garbage Collector need to analyse the object reference chain. To make it less confusing, this snippet use .Clear() function to remove this confusion.
Clearing the list ensures that if the list is not garbage collected for some reason, then at the very least, the elements it contained can still be disposed of.
As stated in the comments, preventing other references to the list from existing requires careful planning, and clearing the list before nulling it doesn't incur a big enough performance hit to justify trying to avoid doing so.
I wanted to add a small debug UI to my OpenGL game, which will be updated frequently with various debugging options/output displays. One thing I wanted was a constant counter that shows active objects in each generation of the garbage collector. I don't want names or anything, just a total count; something that I can eyeball when I do certain things within the game.
My problem, however, is that I can't seem to find a way to count the total objects currently alive in the various generations.
I even considered keeping a global static field, which would be incremented within every constructor and decremented within class finalizers. This would require hand-coding said functionality into every class though, and would not solve the problem of a "per-generation total".
Do you know how I could go about doing this?
(Question title:) "Counting total objects queued for garbage collection"
(From the question's body:) "My problem, however, is that I can't seem to find a way to count the total objects currently alive in the various generations."
Remark: Your question's title and body ask for opposite things. In the title, you're asking for the number of objects that can no longer be reached via any GC root, while in the body, you're asking for "live" objects, i.e. those that can still be reached via any GC root.
Let me start by saying that there might not be any way to do this, basically because objects in .NET are not reference-counted, so they cannot be immediately marked as "no longer needed" when the last reference to them disappears or goes out of scope. I believe .NET's mark-and-compact garbage collector only discovers which objects are alive and which can be reclaimed during an actual garbage collection (during the "mark" phase). You however seem to want this information in advance, i.e. before a GC occurs.
That being said, here are perhaps your best options:
Perhaps your best bet in .NET's managed Framework Class Library are performance counters. But it doesn't look like there are any suitable counters available: There are performance counters giving you the number of allocated bytes in the various GC generations, but AFAIK no counters for the number of live/dead objects.
You might also want to take a look at the CLR's (i.e. the runtime's) unmanaged, COM-based Debugging API. Given that you have retrieved an ICorDebugProcess5 interface, these methods might be of interest:
ICorDebugProcess5::EnumerateGCReferences method:
"Gets an enumerator for all objects that are to be garbage-collected in a process."
See also this answer to a similar question on SO.
Note that this is about objects that are to be garbage-collected, not about live objects.
ICorDebugProcess5::GetGCHeapInformation method:
"Provides general information about the garbage collection heap, including whether it is currently enumerable."
If it turns out that the managed heap is enumerable, you could use…
ICorDebugProcess5::EnumerateHeap method:
"Gets an enumerator for the objects on the managed heap."
The objects returned by this enumerator are of this type:
COR_HEAPOBJECT structure:
"Provides information about an object on the managed heap."
You might not be actually interested in these details, but just in the number of objects returned by the enumerator.
(I haven't used this API myself, perhaps there exists a better and more efficient way.)
In Sept 2015, Microsoft published a managed library called clrmd aka Microsoft.Diagnostics.Runtime on GitHub. It is based on the same foundation as the unmanaged debugging API mentioned above. The project includes documentation about enumerating objects in the GC heap.
Btw. there is an extremely informative book out there by Ben Watson, "Writing High-Performance .NET Code", which includes solid tips on how to make .NET memory allocation and GC more efficient.
Garbage Collector doesn't have to collect objects.
... that fact will be discovered when the garbage collector
runs the collector for whatever generation the object was in. (If it
runs at all, which it might not. There is no guarantee that the GC
runs.)
(C) Eric Lippert
If the application performs normally and the memory consumption is not increasing the GC can let it work without interruptions. That means that numbers will differ from run to run.
If I were you I wouldn't spend time on getting generations information, but just the size of used memory.
The simple but not very accurate way is to get it from GC.
// Determine the best available approximation of the number
// of bytes currently allocated in managed memory.
Console.WriteLine("Total Memory: {0}", GC.GetTotalMemory(false));
If you see that used memory increases and decreases often, then you can use existing profilers to figure out where are you allocating too mush, or even where the memory leak is.
I'm converting a C# project to C++ and have a question about deleting objects after use. In C# the GC of course takes care of deleting objects, but in C++ it has to be done explicitly using the delete keyword.
My question is, is it ok to just follow each object's usage throughout a method and then delete it as soon as it goes out of scope (ie method end/re-assignment)?
I know though that the GC waits for a certain size of garbage (~1MB) before deleting; does it do this because there is an overhead when using delete?
As this is a game I am creating there will potentially be lots of objects being created and deleted every second, so would it be better to keep track of pointers that go out of scope, and once that size reachs 1MB to then delete the pointers?
(as a side note: later when the game is optimised, objects will be loaded once at startup so there is not much to delete during gameplay)
Your problem is that you are using pointers in C++.
This is a fundamental problem that you must fix, then all your problems go away. As chance would have it, I got so fed up with this general trend that I created a set of presentation slides on this issue. – (CC BY, so feel free to use them).
Have a look at the slides. While they are certainly not entirely serious, the fundamental message is still true: Don’t use pointers. But more accurately, the message should read: Don’t use delete.
In your particular situation you might find yourself with a lot of long-lived small objects. This is indeed a situation which a modern GC handles quite well, and which reference-counting smart pointers (shared_ptr) handle less efficiently. If (and only if!) this becomes a performance problem, consider switching to a small object allocator library.
You should be using RAII as much as possible in C++ so you do not have to explicitly deleteanything anytime.
Once you use RAII through smart pointers and your own resource managing classes every dynamic allocation you make will exist only till there are any possible references to it, You do not have to manage any resources explicitly.
Memory management in C# and C++ is completely different. You shouldn't try to mimic the behavior of .NET's GC in C++. In .NET allocating memory is super fast (basically moving a pointer) whereas freeing it is the heavy task. In C++ allocating memory isn't that lightweight for several reasons, mainly because a large enough chunk of memory has to be found. When memory chunks of different sizes are allocated and freed many times during the execution of the program the heap can get fragmented, containing many small "holes" of free memory. In .NET this won't happen because the GC will compact the heap. Freeing memory in C++ is quite fast, though.
Best practices in .NET don't necessarily work in C++. For example, pooling and reusing objects in .NET isn't recommended most of the time, because the objects get promoted to higher generations by the GC. The GC works best for short lived objects. On the other hand, pooling objects in C++ can be very useful to avoid heap fragmentation. Also, allocating a larger chunk of memory and using placement new can work great for many smaller objects that need to be allocated and freed frequently, as it can occur in games. Read up on general memory management techniques in C++ such as RAII or placement new.
Also, I'd recommend getting the books "Effective C++" and "More effective C++".
Well, the simplest solution might be to just use garbage collection in
C++. The Boehm collector works well, for example. Still, there are
pros and cons (but porting code originally written in C# would be a
likely candidate for a case where the pros largely outweigh the cons.)
Otherwise, if you convert the code to idiomatic C++, there shouldn't be
that many dynamically allocated objects to worry about. Unlike C#, C++
has value semantics by default, and most of your short lived objects
should be simply local variables, possibly copied if they are returned,
but not allocated dynamically. In C++, dynamic allocation is normally
only used for entity objects, whose lifetime depends on external events;
e.g. a Monster is created at some random time, with a probability
depending on the game state, and is deleted at some later time, in
reaction to events which change the game state. In this case, you
delete the object when the monster ceases to be part of the game. In
C#, you probably have a dispose function, or something similar, for
such objects, since they typically have concrete actions which must be
carried out when they cease to exist—things like deregistering as
an Observer, if that's one of the patterns you're using. In C++, this
sort of thing is typically handled by the destructor, and instead of
calling dispose, you call delete the object.
Substituting a shared_ptr in every instance that you use a reference in C# would get you the closest approximation at probably the lowest effort input when converting the code.
However you specifically mention following an objects use through a method and deleteing at the end - a better approach is not to new up the object at all but simply instantiate it inline/on the stack. In fact if you take this approach even for returned objects with the new copy semantics being introduced this becomes an efficient way to deal with returned objects also - so there is no need to use pointers in almost every scenario.
There are a lot more things to take into considerations when deallocating objects than just calling delete whenever it goes out of scope. You have to make sure that you only call delete once and only call it once all pointers to that object have gone out of scope. The garbage collector in .NET handles all of that for you.
The construct that is mostly corresponding to that in C++ is tr1::shared_ptr<> which keeps a reference counter to the object and deallocates when it drops to zero. A first approach to get things running would be to make all C# references in to C++ tr1::shared_ptr<>. Then you can go into those places where it is a performance bottleneck (only after you've verified with a profile that it is an actual bottleneck) and change to more efficient memory handling.
GC feature of c++ has been discussed a lot in SO.
Try Reading through this!!
Garbage Collection in C++
Ok so I understand about the stack and the heap (values live on the Stack, references on the Heap).
When I declare a new instance of a Class, this lives on the heap, with a reference to this point in memory on the stack. I also know that C# does it's own Garbage Collection (ie. It determines when an instanciated class is no longer in use and reclaims the memory).
I have 2 questions:
Is my understanding of Garbage Collection correct?
Can I do my own? If so is there any real benefit to doing this myself or should I just leave it.
I ask because I have a method in a For loop. Every time I go through a loop, I create a new instance of my Class. In my head I visualise all of these classes lying around in a heap, not doing anything but taking up memory and I want to get rid of them as quickly as I can to keep things neat and tidy!
Am I understanding this correctly or am I missing something?
Ok so I understand about the stack and the heap (values live on the Stack, references on the Heap
I don't think you understand about the stack and the heap. If values live on the stack then where does an array of integers live? Integers are values. Are you telling me that an array of integers keeps its integers on the stack? When you return an array of integers from a method, say, with ten thousand integers in it, are you telling me that those ten thousand integers are copied onto the stack?
Values live on the stack when they live on the stack, and live on the heap when they live on the heap. The idea that the type of a thing has to do with the lifetime of its storage is nonsense. Storage locations that are short lived go on the stack; storage locations that are long lived go on the heap, and that is independent of their type. A long-lived int has to go on the heap, same as a long-lived instance of a class.
When I declare a new instance of a Class, this lives on the heap, with a reference to this point in memory on the stack.
Why does the reference have to go on the stack? Again, the lifetime of the storage of the reference has nothing to do with its type. If the storage of the reference is long-lived then the reference goes on the heap.
I also know that C# does it's own Garbage Collection (ie. It determines when an instanciated class is no longer in use and reclaims the memory).
The C# language does not do so; the CLR does so.
Is my understanding of Garbage Collection correct?
You seem to believe a lot of lies about the stack and the heap, so odds are good no, it's not.
Can I do my own?
Not in C#, no.
I ask because I have a method in a For loop. Every time I go through a loop, I create a new instance of my Class. In my head I visualise all of these classes lying around in a heap, not doing anything but taking up memory and I want to get rid of them as quickly as I can to keep things neat and tidy!
The whole point of garbage collection is to free you from worrying about tidying up. That's why its called "automatic garbage collection". It tidies for you.
If you are worried that your loops are creating collection pressure, and you wish to avoid collection pressure for performance reasons then I advise that you pursue a pooling strategy. It would be wise to start with an explicit pooling strategy; that is:
while(whatever)
{
Frob f = FrobPool.FetchFromPool();
f.Blah();
FrobPool.ReturnToPool(f);
}
rather than attempting to do automatic pooling using a resurrecting finalizer. I advise against both finalizers and object resurrection in general unless you are an expert on finalization semantics.
The pool of course allocates a new Frob if there is not one in the pool. If there is one in the pool, then it hands it out and removes it from the pool until it is put back in. (If you forget to put a Frob back in the pool, the GC will get to it eventually.) By pursuing a pooling strategy you cause the GC to eventually move all the Frobs to the generation 2 heap, instead of creating lots of collection pressure in the generation 0 heap. The collection pressure then disappears because no new Frobs are allocated. If something else is producing collection pressure, the Frobs are all safely in the gen 2 heap where they are rarely visited.
This of course is the exact opposite of the strategy you described; the whole point of the pooling strategy is to cause objects to hang around forever. Objects hanging around forever is a good thing if you're going to use them.
Of course, do not make these sorts of changes before you know via profiling that you have a performance problem due to collection pressure! It is rare to have such a problem on the desktop CLR; it is rather more common on the compact CLR.
More generally, if you are the kind of person who feels uncomfortable having a memory manager clean up for you on its schedule, then C# is not the right language for you. Consider C instead.
values live on the Stack, references on the Heap
This is an implementation detail. There is nothing to stop a .NET Framework from storing both on the stack.
I also know that C# does it's own Garbage Collection
C# has nothing to do with this. This is a service provided by the CLR. VB.NET, F#, etc all still have garbage collection.
The CLR will remove an object from memory if it has no strong roots. For example, when your class instance goes out of scope in your for loop. There will be a few lying around, but they will get collected eventually, either by garbage collection or the program terminating.
Can I do my own? If so is there any real benefit to doing this myself or should I just leave it?
You can use GC.Collect to force a collection. You should not do it because it is an expensive operation. More expensive than letting a few objects occupy memory a little bit longer than they are absolutely needed. The GC is incredibly good at what it does on its own. You will also force short lived objects to promote to generations they wouldn't get normally.
First off, to Erics seminal post about The truth about value types
Secondly on Garbage collection, the collector knows far more about your running program than you do, don't try to second guess it unless you're in the incredibly unlikely situation that you have a memory leak.
So to your second question, no don't try to "help" the GC.
I'll find a post to this effect on the CG and update this answer.
Can I do my own? If so is there any real benefit to doing this myself or should I just leave it.
Yes you can with GC.Collect but you shouldn't. The GC is optimized for variables that are short lived, ones in a method, and variables that are long lived, ones that generally stick around for the life time of the application.
Variables that are in-between aren't as common and aren't really optimum for the GC.
By forcing a GC.Collect you're more likely to cause variables in scope to be in forced into that in-between state which is the opposite from you are trying to accomplish.
Also from the MSDN article Writing High-Performance Managed Applications : A Primer
The GC is self-tuning and will adjust itself according to applications
memory requirements. In most cases programmatically invoking a GC will
hinder that tuning. "Helping" the GC by calling GC.Collect will more
than likely not improve your applications performance
Your understanding of Garbage Collection is good enough. Essentially, an unreferenced instance is deemed as being out-of-scope and no longer needed. Having determined this, the collector will remove an unreferenced object at some future point.
There's no way to force the Garbage Collector to collect just a specific instance. You can ask it to do its normal "collect everything possible" operation GC.Collect(), but you shouldn't.; the garbage-collector is efficient and effective if you just leave it to its own devices.
In particular it excels at collecting objects which have a short lifespan, just like those that are created as temporary objects. You shouldn't have to worry about creating loads of objects in a loop, unless they have a long lifespan that prevents immediate collection.
Please see this related question with regard to the Stack and Heap.
In your specific scenario, agreed, if you new up objects in a for-loop then you're going to have sub-optimal performance. Are the objects stored (or otherwise used) within the loop, or are they discarded? If the latter, can you optimize this by newing up one object outside the loop and re-using it?
With regard to can you implement your own GC, there is no explicit delete keyword in C#, you have to leave it to the CLR. You can however give it hints such as when to collect, or what to ignore during collection, however I'd leave that unless absolutely necessary.
Best regards,
Read the following article by Microsoft to get a level of knowledge about Garbage Collection in C#. I'm sure it'll help anyone who need information regarding this matter.
Memory Management and Garbage Collection in the .NET Framework
If you are interested in performance of some areas in your code when writing C#, you can write unsafe code. You will have a plus of performance, and also, in your fixed block, the garbage collector most likely will not occur.
Garbage collection is basically reference tracking. I can't think of any good reason why you would want to change it. Are you having some sort of problem where you find that memory isn't being freed? Or maybe you are looking for the dispose pattern
Edit:
Replaced "reference counting" with "reference tracking" to not be confused with the Increment/Decrement Counter on object Reference/Dereference (eg from Python).
I thought it was pretty common to refer to the object graph generation as "Counting" like in this answer:
Why no Reference Counting + Garbage Collection in C#?
But I will not pick up the glove of (the) Eric Lippert :)
This question already has answers here:
Closed 11 years ago.
Possible Duplicate:
Garbage Collection: Is it necessary to set large objects to null in a Dispose method?
Does anyone know if explicitly de-referencing an object;
finalResults = null;
gives the garbage collector any more of a nudge to clean up? I have a rather large object (not huge, but big enough that I don't want it hanging around for too long after it's been used)
Would the above help or is it pointless code? I am specifically avoiding programatically talking to the GC itself, I just need to know if the above would act as any sort of prompt/hint to it.
Is finalResults = null; pointless?
Not enough information.
If finalResults is a local variable then it is pointless and potentially even harmful. You're just interfering with the optimizer.
If it is a class-member (property or field) it may be useful. Not very often but if you have a point in time where you can be very sure the value won't be used anymore then it won't hurt to set it to null.
As far as I know, not really.
The main rule the garbage collector uses (to work out if it needs to do a collection) is to work out if there is enough space in the Gen-0 heap to allocate a new object when it's asked for. If it can't allocate the object, it then performs a collection.
Collections are messy and noisy (because of heap compression, promotion from objects from Gen--0 to Gen-1 and Gen-1 to Gen-2) so it's best to leave the GC to worry about it.
The GC will finalize your object when it needs to, so don't worry about it sitting around.
If you're really concerned, then in a debug build try putting a call to
GC.Collect();
Where you'd set the object to Null, and see what affect it has, but really my best advise is to not lose any sleep about it.
Don't spend any time setting variables to null. It does nothing to "nudge" the garbage collector.
The whole point of having a GC is that you don't need to worry about object lifetime.
Setting a variable to null is only of value of the C# compiler can not work out it's self that it is not going to be used again.
In well writen clear code there are very few cases when the c# compiler can not track the last time a local variable is used it's self.
Now if finalResults was a field, it would be a different case.
The answers above are correct, but nobody seems to be making this distinction, so I will:
It depends on how finalResults was declared. If it's a local variable that was declared in a method, then there will be no effect at all; the object it was referencing would be eligible for garbage collection when the method goes out of scope in any case (and it will still be up to the garbage collector to figure out when it wants to clean up).
If, however, finalResults was a class field, or property, then it's a slightly different scenario (although the small "f" seems to suggest that it is not). In this case, the object it forms part of will hold a reference to the object referenced by finalResults, until it can be garbage collected itself (which happens when there's nothing holding a reference to it, in turn). In a situation like this, you may actually want to set it to null, to allow for the object to be eligible for GC earlier (assuming the referencing object is still going to be around for a significant amount of time).
Check the generated IL; you may well find that the compiler knows the variable is never referenced again, so doesn't bother to generate any code for that line, in which case you know there won't be a difference in behaviour.