Issue
While resizing large bitmaps for faster image upload to a server I occasionally ran into OutOfMemoryErrors. To prevent this I calculate the required amount of memory and check if it exceeds Runtime.getRuntime().maxMemory() before trying to scale an image.
However, I still run into OOM errors even though the image should fit on the heap easily.
The emulated device (Galaxy SII API 16) gives me a max memory of 67108864 bytes using the above method.
In the following snippet, the heap size is 43975K and only < 15K of that memory is in use. For my ~31K allocation the heap should grow automatically to about 45K which is still not even close to the maximum size of 64 MiB. But as you can see, instead of expanding the heap, the dalvik vm runs out of memory.
10-13 20:35:57.223: D/dalvikvm(1201): GC_FOR_ALLOC freed 505K, 67% free 14692K/43975K, paused 31ms, total 31ms
10-13 20:35:57.223: I/dalvikvm-heap(1201): Forcing collection of SoftReferences for 31961100-byte allocation
10-13 20:35:57.251: D/dalvikvm(1201): GC_BEFORE_OOM freed 2K, 67% free 14689K/43975K, paused 29ms, total 29ms
10-13 20:35:57.251: E/dalvikvm-heap(1201): Out of memory on a 31961100-byte allocation.
I wonder if this can happen on a real device too or if this could be a genymotion bug.
Is the heap guaranteed to expand up to maxMemory()? The JavaDoc for Runtime.getRuntime().freeMemory() says it "may" expand, whatever that means.
I just need a realiable way to calculate the amount of memory I can use, this is how I did it, please correct me if I'm wrong:
long maxMemory = Runtime.getRuntime().maxMemory();
long usedMemory = Runtime.getRuntime().totalMemory() - Runtime.getRuntime().freeMemory();
long availableMemory = maxMemory - usedMemory;
This call causes the OutOfMemoryError:
// outOptions has an appropriate inSampleSize
BitmapFactory.decodeStream(inputStream, null, outOptions);
Solution
Out of memory on a 31961100-byte allocation
Your bitmap is 32M. VM can't allocate 32M linear space to store bitmap. Heap is fragmented, so even if your heap has 32M free space it is not always possible to allocate such linear space. You can try free up as much memory as you can and call GC before decoding stream.
Try to decode your bitmap in more effective way. Or process image in parts. If you tell us why you need this image, we can tell you how to handle it.
Answered By - Leonidos
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