In our case, because of our selective testing and sharding set up, the extra time added is negligible. LeakCanary provides an artifact dedicated to detecting leaks in UI tests which provides a run listener that waits for the end of a test, and if the test succeeds then it looks for retained objects, trigger a heap dump if needed and perform an analysis.īe aware that LeakCanary will slow down testing, as it dumps the heap after each test to which it listens. Again, we are given a code recipe to start with. We can even take this one step further and use Bugsnag’s integrations to hook it up to project management software such as Jira for even more visibility and accountability.Īnother way to improve automation is to hook up LeakCanary to CI tests. We’re then able to track memory leaks just as we do any other warning or crash in the app.
LeakCanary provides a very handy code recipe for uploading found leaks to Bugsnag. But the process is still manual, and each developer will only have a local copy of the memory leaks they’ve personally encountered. This one step is vastly better than what we had before.
As we navigate through our app, LeakCanary will pause occasionally to dump the memory and provide leak traces of detected leaks. The next time we install and run our app, LeakCanary will be running alongside it. We simply add a dependency on our adle file. One of the best tools out there is LeakCanary, a memory leak detection library for Android. You could inspect all the breadcrumbs to see if there’s some similarity, but chances are the culprit won’t be easy to discern. The memory leak could have happened anywhere, and the crash that’s logged doesn’t point to the leak, only to the screen that finally tipped memory usage over the limit.
GetLeakedRecording().This approach only tells you the existence of the problem-not the root cause.
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