I'm currently investigating garbage collection problems with my Android app, and I'm curious to know if GC_FOR_ALLOC is indicative of a bigger problem than other GC messages, such as GC_CONCURRENT.
From my understanding, GC_CONCURRENT is doing what the garbage collector should do. The heap has reached a particular limit, better go clean up memory.
GC_FOR_ALLOC suggests to me something more serious is happening if I'm trying to create an object and there's no memory left to do it.
Is there a priority or "seriousness" level for the GC messages?
In a sense, GC_FOR_ALLOC
is more serious than GC_CONCURRENT
, because GC_FOR_ALLOC
means there were not enough free memory to fulfill an allocation request, so a garbage collection was necessary, whereas GC_CONCURRENT
just means that the GC felt like running, typically because the amount of free memory became lower than a certain threshold after an allocation.
A GC_FOR_ALLOC
is by itself not a sign of a problem in your application however:
GC_FOR_ALLOC
is done before increasing the size of the heap. In this case GC_FOR_ALLOC
is perfectly normal.GC_FOR_ALLOC
is inevitable. And there's nothing inherently wrong with allocating memory faster than the concurrent GC can free up memory.A more serious type of GC on Android is GC_BEFORE_OOM
, which is performed when an allocation request fails even after GC_FOR_ALLOC
and when the application heap has grown as big as it is allowed to be. When this happen, as a last resort, Dalvik will try to release SoftReferences as well, before doing a final attempt at allocating memory and if that fails throw an OutOfMemory exception.
If you're curious to look at the code for this logic, it is in tryMalloc()
in dalvik.git/vm/alloc/Heap.cpp
Anyway, if you don't mind, I doubt that looking at logcat output is the most efficient way to debug your garbage collection problems. I don't know what specific problem you are having, but have you looked into tools such as the Allocation Tracker in DDMS and analyzing heap dumps with the help of the hprof-conv
tool? (See http://android-developers.blogspot.se/2011/03/memory-analysis-for-android.html for example to get started.)
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