Tracking down android memory usage with MAT - android

I'm trying to work out where some of the memory usage of my app is coming from using MAT.
There's some references that to bitmaps which seem to retain a lot of heap. Is there any way to determine what actual resource they are? The images generally coming from drawables within the app. There's object references, but I can't work out how to drill down to determine which actual drawable may be taking up the memory.
E.g. there's a Bitmap with a retained heap of over 1mb and lots over 300k

Define your real problem. Bitmaps of these size are quite normal: between 200x200px and 500x500px or so.
If you have OutOfMemoryErrors, when first approaching app I like to use histogram (second icon, with 3 blue bars) and filter on your.package.*Activity. If there are too many instances, that possibly means there is a memory leak.

Related

How to view bitmaps taken from memory dumps?

Background
android apps usually have a low amount of heap memory for them. that's why you always need to avoid holding large objects.
since the app i'm working on can get OOM on some cases, i thought that i should check out what causes the memory to be low.
i've used MAT plugin and i've found out that the app has 3 bitmaps that take 3.5MB each.
The problem
the app already has multiple bitmaps being used, but they are way smaller (less than 1MB each).
in fact i've even put breakpoints to make sure each bitmap i create don't take so much memory, and found nothing.
i've also watched some google IO videos (like this one) regarding this matter. it seems that in order to see which class has a reference to the object, you click on the object and choose "Path to GC roots"=>"exclude weak references".
What I've tried
you can see in the dominator-tree which bitmaps take the most (look at "retained heap").
in order to export the data, you can choose the byte array and then "copy"=>"save value to file".
however, like others have tried on this post , i'm stuck at showing the bitmap itself (need to know its format, width and height). plus it could be quite annoying to use GIMP for this task.
The question
how can i view the bitmaps (the image itself) within eclipse?

Determining available memory for bitmaps

I'm working on a graphical app for which I want to keep an array of bitmaps that are used for Undo operations. The bitmaps are quite large at around 9M each, so I realise I can only keep a few in memory at any given time.
I'd like some way of working out in advance how many I can have.
I've tried various ways of querying available memory, and am being careful to recycle bitmaps once they are not needed, but despite that the app seems to crash with EOutOfMemory.
I don't want to scale down the bitmap, or use RGB565. I just want a reasonably reliable way to figure out how many undo steps I can allow for.
Thanks
EDIT #1
I've continued to try various ways of determining available memory, including those linked to in the comments, but still am having problems.
The strange thing is that my old Samsung I9000 phone doesn't have too many problems creating and accessing lots of bitmaps each 9MB in size, but my newer Samsung Tab 3 dies allocating the 3rd one.
It should have plenty of memory available. I did read something about there being differences in where memory is allocated for bitmaps on Android 3 and above, but don't fully understand it. Could this be what is causing my Tab to die with EOutOfMemory?
EDIT #2
In desperation I decided to turn on largeHeap in the manifest. I know it's not recommended, but it has made the Tab 3 behave more predictably, and it possibly demonstrates something about the underlying problem.
This reminds me of a very common mistake , of putting the image files into the "res/drawable" folder.
Such a thing causes the bitmaps to take much more memory the higher the screen density is.
for example, for a 100x100 image, it would take only 100*100*4 = 40,000 bytes on an mdpi device, but it will take (2*100)*(2*100)*4 = 160,000 bytes on an xhdpi device (4 times more).
however, since the galaxy tab 3 doesn't seem to have a high density screen, i think that you get OOM because the heap size is small for holding all the bitmaps.
check out my post here for some memory and bitmaps tips.
It seems that getting available memory is a bit quirky in Android, but it turned out that my main problem was that on newer versions of Android the memory allocation for bitmaps has changed, and they now easily blow the limit of the heap.
Setting largeHeap in the manifest got me around that problem, but I'm still not sure it's ideal.

Android VM heap strategies for big images

I am manipulating relative large images, about 5MP and sometimes even more. I need two copies of the images in memory for manipulation.
Now, the loaded images consume a lot of memory, more than available by the default Android heap which is 16MB respectively 24MB which results in the following error:
11-20 18:02:28.984: E/AndroidRuntime(7334):
java.lang.OutOfMemoryError: bitmap size exceeds VM budget
I need full resolution, thus downscaling while loading the images does not help.
What's the best solution to get over this problem? Are there built-in methods to dynamically load only chunks of bitmaps from storage? And can someone give me some hints how I can overcome the memory problem, e.g. by using specific caching strategies?
Regards,
You can allocate more memory in the ndk. You'd have to write native code to manipulate the images, or you'd have to figure out a way to allocate the image memory in native, then pass it back to Java.
Bitmap/Canvas use and the NDK
Another option might be to load a single image into memory, and break it up into chunks for processing. Save those chunks out to the file system. So, say you 2 large images. You load the first image, break it into 4 parts, save them, load the second, break it into 4 parts, save those, then load part #1 for each image, and do your thing. That implies you know that neither individual image is larger than the heap max, and that what you need to do is (basically) pixel level and doesn't need access to surrounding pixel data (you'll run into trouble at the edges if you need neighbor pixel info).
Without downsampling, splitting, or ndk, I don't know how you'd get more image data into memory. Perhaps lowering the color info. We do this in a product. Represent each pixel as 16 bits rather than 24 or 32. Our product is functional rather than "pretty", so the loss of color info wasn't a big deal.
You should watch this video on memory management: http://www.youtube.com/watch?v=_CruQY55HOk
At about 6 mins into it he covers the LargeHeap manifest option added to HoneyComb.

Is there a way to compact memory in android to lower the high water mark?

Please note I do NOT have a memory leak. My question is about a subtler issue.
I recently wrote an android app which does image processing. The image is loaded as a Bitmap, then copied out in pixels, processed in a way that uses lots of memory (think Fourier transforms in floating point representations and stuff), then converted back into a bitmap and saved.
The problem is, through at least android OS 2.3, the total memory limitation (typically 16MB) is combined java and (externally stored) Bitmaps, and the java high water mark doesn't go down (that I can discern) even when the memory is free (successfully GC'd), which means when I go to allocate the final Bitmap, I am often "out of memory" even though by that point I have freed (and GC'd) most of the space. I.e., I never need the full 16MB at once, but the space left for Bitmaps appears to be 16MB minus the MAX historical java heap usage (as opposed to current usage).
I watched a tech talk by one of the android developers about memory issues and he implied this problem has been fixed in subsequent versions of the OS (they moved Bitmap memory into the java heap space), but in the meantime most of the people wanting to use my app are running 2.2 or 2.3.
Long story short, I am wondering if the java heap is ever compacted (de-fragmented, in effect) so that the high-water mark shrinks (and if so, how to make it happen)?
If not, then does anybody have another suggestion how to deal with this problem?
Long story short, I am wondering if the java heap is ever compacted (de-fragmented, in effect) so that the high-water mark shrinks (and if so, how to make it happen)?
Whatever its behavior is, it most certainly is not under your control.
If not, then does anybody have another suggestion how to deal with this problem?
Ideally, reuse your own Bitmaps. You don't indicate what "processed in a way that uses lots of memory" really is. However, if it does not change the dimensions or bit depth of the image, copy the data back out to the original Bitmap rather than allocating a fresh one, if you can.
Image processing on Android 2.x is one of the few places where I can see justifying using multiple processes. You will add overhead for schlepping the image data between processes, but the other process has its own heap (Java and native), so this may give you more "elbow room".
So far, no indication that there is any way to compact the memory.
Here is my workaround, which is suboptimal but much better than the behavior before:
I now intentionally hold on to the original Bitmap while I am doing my processing, and then recycle() and null it, and GC(), but not until just before allocating my output Bitmap.
What this does is reserve external (Bitmap) space, and cause my application to run out of java heap (during processing, before calling recycle()), which I can at least catch and handle by retrying on a smaller image. (Before, everything seemed to be fine until I tried to save, but by then it was too late and with no way to recover.)
Technically this limits my max image size to less than I should be able to do with the allotted memory (because I need to reserve space in the heap and external at the same time when in truth I never need both together), but at least I can still handle a reasonable image size.
What was happening before is I would free and recycle the Bitmap early which allowed the high water mark on the java heap to use up essentially all of my memory allotment, meaning from that point forward I couldn't open or create any more Bitmaps at all (other than tiny thumbnail sizes sometimes).
Imo, this is a major bug in the way android handles Bitmap memory, but I believe it is fixed in newer versions of the OS so hopefully I can disable this workaround conditional on the OS release.
I'm assuming that you already call Bitmap.recycle() but it's the only thing I remembered and you didn't talk about.

android memory management outside heap

I am working on an application for android and we since we have lots of graphics, we use a lot of memory.
I monitor the memory heap size and its about 3-4 Mb , and peeks of 5Mb when I do something that requires more memory (and then goes back to 3). This is not a big deal, but some other stuff is handled outside the heap memory, like loading of drawables.
For example if I run the ddms tool outside eclipse, and go to sysinfo, I see that my app is taking 20Mb on the Droid and 12 on the G1, but heap size are the same in both, because data is the same but images are different.
So the questions are:
How do I know what is taking the memory outside the heap memory?
What other stuff takes memory outside the heap memory? Complex layouts (big tree) ? Animations?
Thanks
Daniel
Bitmap objects takes a quite alot of memory.
Ex. if your app downloads a 10KB jpg from net and use BitmapFactory to decode it into a Bitmap that bitmap objects needs about 30-100KB memory, depending on the resolution of your image. 3bytes for each pixel (1 byte for each color)
And yes, all kind of object uses memory, like LinearLayouts, ImageViews etc... If you are creating and destroying many of these objects, ex. as you scroll / page through your images, there will be memory leaks. The gc() does not handle so-called short lived objects as fast as we would like.
*Keep the number of view objects at a stable level**, and recycle them instead of destroying and creating new ones.
REf: http://developer.android.com/resources/articles/track-mem.html
If your app reaches 20MB in memory, it may FC as the BitmapFactory is trying to decode the next image.
One obvious candidate is off course off-screen bitmaps (double-buffering by android?), since the screensize has ~4x as many pixels on the droid.

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