![]() Instrumentation tests from the command line, see Run tests with ADB. adb shell am instrument -w -e "" "true" / Microbenchmarks run only in single loop, verifying they are runningĬorrectly but not taking too long to execute. Part of your pull request verification process. Microbenchmark Instrumentation Arguments orĪdd instrumentation arguments for Macrobenchmark.įor example, you can set the dryRunMode argument to run microbenchmarks as For all the instrumentation arguments options, see You can pass the same instrumentation arguments as in the Gradle configuration The instrumentation argument -e "" "true". Note: Before version 1.1.0, the JSON output must be manually enabled by adding When using the Macrobenchmark library, use regularĪ as instrumentation runner. Run the adb shell am instrument command to run all the benchmarks: adb shell am instrument -w / ![]() May be abstracted depending on whether you use a service that lets you run testsįor installation, use the adb install command and specify the test APK These steps are typically done without needing to run Gradle tasks. When running in CI, this flow usually needs to be split intoįor the Microbenchmark library, run the Gradle taskĪssembleAndroidTest, which creates your test APK that containsīoth your application code as well as your tested code.Īlternatively, Macrobenchmark library requires you to build your target APK and ![]() This task automaticallyīuilds your APK and test APK and runs the tests on the device(s) connected to Integration tests with one Gradle connectedCheck task. Running the benchmarks as part of your CI pipeline may be different than running Note: Check the sample setup of Firebase Test Lab and Github Actions in our On real devices, such as Firebase Test Lab. Consider using real devices or a service that lets you run tests User experience and instead provides numbers tied to the host OS and hardwareĬapabilities. While they can run onĮmulators, it's strongly discouraged because it doesn't represent a realistic Run benchmarks on physical Android devices. Graphing results over time lets you monitor change and observe noise in the ![]() Fuzzy resultsĪlthough benchmarks are instrumented tests, results aren't just a pass or fail.īenchmarks provide timing measurements for the given device they run on. This page provides basic information about benchmarkingīefore getting started with benchmarking in CI, consider how capturing andĮvaluating results differs from regular tests. Time and recognize performance regressions-or improvements-before You can run benchmarks in Continuous Integration (CI) to track performance over ![]()
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