I am playing around with the garbage collector in C# (or rather the CLR?) trying to better understand memory management in C#.
I made a small sample program that reads three larger files into a byte[]
buffer. I wanted to see, if
byte[]
to null after the end of the current iteration GC.Collect()
Disclaimer: I measured memory consumption with windows task manager and rounded it. I tried several times, but overall it remained about the same.
Here is my simple sample program:
static void Main(string[] args)
{
Loop();
}
private static void Loop()
{
var list = new List<string>
{
@"C:\Users\Public\Music\Sample Music\Amanda.wma", // Size: 4.75 MB
@"C:\Users\Public\Music\Sample Music\Despertar.wma", // Size: 5.92 MB
@"C:\Users\Public\Music\Sample Music\Distance.wma", // Size: 6.31 MB
};
Console.WriteLine("before loop");
Console.ReadLine();
foreach (string pathname in list)
{
// ... code here ...
Console.WriteLine("in loop");
Console.ReadLine();
}
Console.WriteLine(GC.CollectionCount(1));
Console.WriteLine("end loop");
Console.ReadLine();
}
For each test, I only changed the contents of the foreach
loop. Then I ran the program, at each Console.ReadLine()
I stopped and checked the memory usage of the process in windows task manager. I took notes of the used memory and then continued the program with return (I know about breakpoints ;) ). Just after the end of the loop, I wrote GC.CollectionCount(1)
to the console in order to see how often the GC jumped in if at all.
foreach ( ... )
{
byte[] buffer = File.ReadAllBytes(pathname);
Console.WriteLine ...
}
Result (memory used):
before loop: 9.000 K
1. iteration: 13.000 K
2. iteration: 19.000 K
3. iteration: 25.000 K
after loop: 25.000 K
GC.CollectionCount(1): 2
Test 2:
foreach ( ... )
{
byte[] buffer = File.ReadAllBytes(pathname);
buffer = null;
Console.WriteLine ...
}
Result (memory used):
before loop: 9.000 K
1. iteration: 13.000 K
2. iteration: 14.000 K
3. iteration: 15.000 K
after loop: 15.000 K
GC.CollectionCount(1): 2
Test 3:
foreach ( ... )
{
byte[] buffer = File.ReadAllBytes(pathname);
buffer = null;
GC.Collect();
Console.WriteLine ...
}
Result (memory used):
before loop: 9.000 K
1. iteration: 8.500 K
2. iteration: 8.600 K
3. iteration: 8.600 K
after loop: 8.600 K
GC.CollectionCount(1): 3
GC.CollectionCount
). How so?buffer
is set to null
. The memory is lower then in Test 2. But why does GC.CollectionCount
output 2 and not 3? And why is the memory usage not as low as in Test 3?
buffer
is set to null
) and therefore when the garbage collector is called via GC.Collect()
it can free the memory. Seems pretty clear.If anyone with more experience could shed some light on some of the points above, it would really help me. Pretty interesting topic imho.
Garbage collection (GC) is a memory recovery feature built into programming languages such as C# and Java. A GC-enabled programming language includes one or more garbage collectors (GC engines) that automatically free up memory space that has been allocated to objects no longer needed by the program.
Garbage collection in Java is the process by which Java programs perform automatic memory management. Java programs compile to bytecode that can be run on a Java Virtual Machine, or JVM for short. When Java programs run on the JVM, objects are created on the heap, which is a portion of memory dedicated to the program.
The garbage collector provides the following benefits: Frees developers from having to manually release memory. Allocates objects on the managed heap efficiently. Reclaims objects that are no longer being used, clears their memory, and keeps the memory available for future allocations.
In the common language runtime (CLR), the garbage collector (GC) serves as an automatic memory manager. The garbage collector manages the allocation and release of memory for an application. For developers working with managed code, this means that you don't have to write code to perform memory management tasks.
TaskManager is not the best tool for this. Use the CLR Profiler or for something simple, use WriteLine to show GC.GetTotalMemory()
.
The main purpose of the GC is allocating and de-allocating large numbers of small objects. If you want to study it, write something that creates a lot of (smallish) string or so. Make sure you know what a 'Generational GC' means.
Your current experiment is exercising the Large Object Heap (LOH) which has a whole other set of rules and concerns.
Looking at the fact you are reading in entire WMA files into an array, I'd say those array objects are being allocated in the Large Object Heap. This is a seperate heap that's managed in a more malloc-type way (because compacting garbage collection isn't efficient at dealing with large objects).
Space in the Large Object Heap is collected according to different rules and it doesn't count towards the main generation count and that'll be way you're not seeing a difference in the number of collections between tests 1 and 2 even though the memory is being re-used (all that's being collected there is the Array object, not the underlying bytes). In Test 3 you are forcing a collection each time round the loop - the Large Object Heap is being included in that so the memory useage of the process does not increase.
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