![]() ![]() In the Settings dialog ( Control+Alt+S), go to Languages & Frameworks | Node.js. You can also set Yarn 1 or pnpm as default WebStorm package manager. However if you open a project with a yarn.lock file and Yarn is installed on your computer, WebStorm automatically changes the package manager for this project to Yarn.Īccordingly, if you open a project with a pnpm-lock file and pnpm is installed on your computer, WebStorm automatically changes the package manager for this project to pnpm. With WebStorm, you can choose whether to use npm, Yarn, Yarn 2, or pnpm in a project.īy default, WebStorm suggests npm. Learn more from the pnpm official website. To use pnpm, open the embedded Terminal ( Alt+F12) and type: To use Yarn, install it as described on the Yarn official website. Note that npm is also installed, so if you are going to use it, you are through with the preliminary steps. Before you startĭownload and install Node.js. WebStorm detects projects with Yarn workspaces and indexes all the dependencies that are listed in the package.json files of the workspaces but are located in the root node_modules folder. See npm, Yarn, and pnpm official web sites for details. WebStorm parses package.json files, recognizing definitions of scripts, shows scripts in a tree view, and lets you navigate between a script in the tree and its definition in the package.json file. WebStorm also lets you run and debug npm, Yarn, and pnpm scripts. As the code executes, it will pause at the breakpoints you have set, giving you access to IntelliJ’s powerful debugging set of tools.WebStorm integrates with the npm, pnpm, Yarn, Yarn 2, and Yarn 3, so you can install, locate, update, and remove packages of reusable code from inside the IDE, in the built-in Terminal. In IntelliJ, make sure your debugging configuration is selected, then press the “Debug” button.īack in your terminal, you should see whatever output your code would report during normal execution. Then in the terminal, enter your Maven execution command, replacing mvn with mvnDebug.Įxecute the command, and you should see the following output: In the IDE, add debug points where you want the debugger to pause during execution. You now have all the pieces needed to debug your Maven build in IntelliJ! Let’s Debug Click “Apply” then “OK” to close the dialog.Name this new configuration something meaningful (I named mine “Mvn Debugger.”), make the host “localhost,” and change the port to 8000.Click the plus sign in the upper-lefthand corner to open the menu select “Remote.”.If you have existing configurations, select “Edit Configurations.” Otherwise, select “Add Configuration.” In the top right corner of the IDE, there’s a dropdown for configurations. ![]() SetupĪlright, how do we wire everything up? We first need to set up a build configuration in IntelliJ that will connect a debug listener to the waiting Maven execution. Like all JetBrains IDEs, it offers many shortcuts and tricks to improve your development experience, and the debugging tool suite is immensely valuable for tracking down tricky bugs. IntelliJ IDEA is a powerful development tool made by JetBrains specifically to work with the JVM. ![]() This command always listens on port 8000. You can replace any mvn command with mvnDebug, and the command will immediately be queued up to execute once a debug listener hooks into it at the correct port. The Maven CLI comes prepackaged with an additional command that allows you to hook into executions with a debugger: mvnDebug. Backgroundīefore we dive into setting up our debugger, I need to explain two concepts. Instead, we used a Maven exec command with several specific configurations to run the pipeline locally.įortunately, the Maven CLI comes pre-packaged with a debug tool that makes it easy to connect our executing code back into IntelliJ. However, we were not using the build functionality offered by IntelliJ IDEA. Because of the obfuscation of this proprietary code, my teammates and I wanted to be able to debug our own code from our IntelliJ IDE. Recently, I worked on a Maven project that relied on a proprietary pipeline framework to execute the code we were writing. ![]()
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