Using the activity Context in the wrong place can keep a reference to the entire activity and cause a potential memory leak. It is very important to understand the difference between the activity-level Context and the application-level Context and which one should be used under what circumstances. # ContextsĬommon reason for memory leaks in Android is the misuse of the Context instances. In my experience, these are some of the most common scenarios that can lead to memory leaks.
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Also there is an awesome library called Leak圜anary that is great for finding out the leaks in our app along with the stack trace.Ĭommon memory leak scenarios in android and how to fix them.There are monitors not only for memory usage, but for network, CPU, and GPU usage as well. The good thing is that Android Studio has a very useful and powerful tool for this, Android Profiler which replaces the previous Android Monitor tools and comes with Android Studio 3.0 and later.Now that you know that you need to fix memory leaks hidden inside your app, how will you actually detect them? When you know the impact memory leaks can have on your app, you understand why you need to address them immediately. If this doesn’t fix the problem, then the heap memory of your app will constantly increase until it reaches a point of death where no more memory can be allocated to your app, leading to the dreaded OutOfMemoryError, which crashes your app. At this point, your app seriously lags and becomes almost unusable. This larger GC, called a “stop-the-world” GC, pauses the entire application main thread for around 50ms to 100ms. If your app has some serious memory leaks hidden under the hood, these short GCs will not be able to reclaim the memory, and the heap will keep on increasing, which will force a larger GC to kick off. But remember, the less the garbage collector has to run, the better your app’s performance will be. Now, these short GCs run concurrently (on a separate thread), and they don’t slow down your app significantly (2ms to 5ms pause). So, when the user keeps on using our app, the heap memory keeps on increasing, a short GC will kick off and try to clear up immediate dead objects. This means the garbage collector is not able to take out the trash. This is called memory leak.įailure of releasing unused objects from the Heap memory Why we should care about memory leak?Ī memory leak happens when memory is allocated but never freed. So the Garbage Collector fails to release them from the heap. Sometimes it happens that there are unused objects in the heap but still being referenced from the stack.The garbage collector is looking for the unreachable objects, in other words, if there is an object in the heap that doesn’t contain any reference to it, it will be released.Virtual machines, like JVM (Java Virtual Machine), DVM (Dalvik Virtual Machine) or ART (Android Runtime) has a superhero we called it Garbage Collector who gonna care about detect and reclaimed those unused objects to get more space in the memory.The heap is different from the stack, so the objects will not be reclaimed automatically when the function is done.Whenever you create an object, it’s always created in the heap. Heap memory is used to allocate objects.If your app hits this heap limit and tries to allocate more memory, it will receive an OutOfMemoryError and will terminate.Most devices running Android 2.3 or later will return this size as 24MB or higher but is limited to 36 MB (depending on the specific device configuration). You can check the maximum heap size available for your application by calling getMemor圜lass() API of ActivityManager service. On Android has a maximum heap size limit (varies for each device) marked as ‘largeHeap’ for every application.The heap size limit varies among devices and is based on how much RAM a device has. To provide a smooth user experience, Android sets a hard limit on the heap size for each running application.The Heap is used for dynamic memory allocation.When the method completes, its stack frame is popped from the stack and any possible result value is pushed back onto the stack. Whenever a method call is made, a new block (stack frame) with the method’s local variables is pushed to the stack.When an app hits the stack memory limit, StackOverflowError is emitted.ART introduced a unified stack for both Java and C++ that is around 1 MB.
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The Java stack size on Dalvik is usually 32 KB for Java code and 1 MB for native (C++/JNI) code.Stack memory is relatively small compared to heap memory.Stack memory is always referenced in a LIFO (last in, first out) fashion.It is used to store local variables (primitive types and references to objects). The Stack is used for static memory allocation.
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