services for Enterprise Strong Developmentā¢. desktop and mobile ones (such as Windows, Mac, Android and iOS). ![]() Watch what happens as you try out your application's functionality.Top Software Keywords Show more Show less All you need to do is open the application in debug mode on a virtual or physical device, open the Android profiler tab, and go to the memory profiler. You can create your own code to try eating up memory and seeing what happens, or perhaps you have your own application you'd like to test out. That's how I'm communicating from the background thread to the foreground thread. Down here, the on message event method receives that event object and displays the message it receives. Each time through the loop it adds 100 items to the list, and then sends an event using Event Bus to the foreground thread. It uses a runnable object, and then starts that runnable with a thread object. In order to demonstrate this, I created an application that chews up memory in a background thread. You can explore the code that I created, or you can create your own. But there's still data being used in various areas of the device. It goes down to that baseline of a little less than 100k. You'll see that the memory usage drops almost Immediately. That forces garbage collection right away. I'll click on this trashcan icon on the toolbar. The data usage evens out, but there's still a lot of data being used by the application. I'll click Clear Log, and that executes some code that releases all the references to the data objects and releases the reference to the list. Each trashcan icon that you see here represents a garbage collection event triggered by the application framework and the virtual machine. As a result, my memory usage climbs and it keeps on climbing for as long as I let this infinite loop continue. It's never releasing any of the references. It's creating instances of a POJO class, a data object, and adding references to each of those instances to a list, an array list. I have a bunch of code in the application that's going to chew up memory like crazy. Watch what happens when I click Run Code. Notice that my baseline usage is a little bit under 100k. Now I can see exactly what's happening on the device. I'll come back here and click on memory again. After a moment the app starts up on the device, and the profiler returns to its base state. Now I'll come back to Android Studio, and I'll run the application again. You'll see that the memory profiler basically goes off a cliff at that point. ![]() I'm going to open up my application list, and then I'll clear the application from memory. I'm going to go to my device, where I'm already running my application. I'm going to be focused on the memory profiler, so I'll click that. There are three profilers available, for CPU, memory, and network usage. Accept the offer, and then you'll be able to see the information I'm showing here. The first time you click it on Windows you might see a firewall prompt asking you if you want to allow traffic between the profiler and your device. ![]() The Android memory profiler is part of the Android profiler tab. One of the most common debugging tasks that Android developers have is to figure out where the memory is going, what operations are using up memory, and whether you're correctly releasing memory so you're not leaking resources. I'm going to talk specifically about the memory profiler. Android Studio 3 includes new versions of the profiler tools.
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