ART disables a lot of optimizations to enable connecting a debugger, which affects performance significantly and unpredictably (see this talk. Libraries and Android Framework code often have a different behavior if the APK is debuggable. We could temporarily make our release build debuggable, or create a new release build type just for profiling.Įnter fullscreen mode Exit fullscreen mode Here are a few options to work around that issue. Unfortunately, release builds are non debuggable so the Android profiler can't record traces on release builds. Developers should profile release builds rather than debug builds to make sure they're fixing the actual issues that their customers are facing. Then deploy the app via Run > Profile app.Īndroid developers typically use a debug build type for their everyday work, and debug builds often include a debug drawer, extra libraries such as LeakCanary, etc. The option exist but is hidden away in the run configuration for your app: check Start this recording on startup in the profiling tab. The Android Studio profiler has UI to start a trace by connecting to an already running process, but no obvious way to start recording on app startup. This is my preferred option when profiling app startup. Sample Java Methods: Less overhead than tracing but shows the Java method calls that happen inside the VM.Trace Java Methods: This captures all VM method calls which introduces so much overhead that the results don't mean much.On Q+ this is supposed to now also sample Java stacks in a low overhead way, but I haven't managed to get that working. Sample C/C++ Functions (aka Simpleperf): Not interesting to me, the apps I deal with run much more bytecode than native code.Trace System Calls (aka systrace, perfetto): Low impact on runtime, great for understanding how the app interacts with the system and CPUs, but not the Java method calls that happen inside the app VM.Android Studio provides several types of profiler recording configurations: To understand what makes the app start slow, we need to profile it. Once we've established a metric and scenarios that trigger a slow app start, the next step is to improve performance. My previous articles focused on measuring Android app start in production. Header image: The In-Between by Romain Guy.
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