![]() It’s this process that gradle-profiler aims to automate for you. Even if you stay busy with other things, this is still a drawn out, tedious process that relies on you, as the developer, manually recording build statistics for each iteration. Depending on how long your build takes to complete, and how many interactions you want to run, you could find yourself repeatedly coming back to your computer to check whether it’s time to start the next build or not. ![]() This process of manually benchmarking your Gradle build will likely take a while. So, you kick off your build, wait for it to finish, write down the total execution time, and repeat the process. Now, because build times are often variable, you may want to run your Gradle task multiple times and average the execution times. You might run your target Gradle task, wait for the build to complete, and take that build time as your result. Imagine you want to get a sense of how fast your Gradle build is. What does that mean to you and your project? “A tool to automate the gathering of profiling and benchmarking information for Gradle builds.” The gradle-profiler project describes itself in the following way: In this post, we’re going to take an introductory look at benchmarking Gradle build performance using the gradle-profiler tool.īy the end, you should have a basic understanding of how to use gradle-profiler to gain better insights into the performance of your Gradle build and how you might use those insights to improve Gradle build performance for your project. ![]()
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