Pipeline efficiency Configure your pipelines to run quickly and efficiently. GitLab Runner Configure your own runners to execute your scripts. Cache dependencies Cache your dependencies for a faster execution. Job artifacts Output, use, and reuse job artifacts. Environments Deploy your application to different environments (for example, staging, production). CI/CD variables Reuse values based on a variable/value key pair. Concept Description Pipelines Structure your CI/CD process through pipelines. GitLab CI/CD uses a number of concepts to describe and run your build and deploy. To add one, add a similar line to your package.json file.Video demonstration of continuous integration with GitLab CI/CD: Continuous Integration with GitLab (overview demo). You can optionally link a repository with your extension or continue without one. To do this, you need to install another npm package from the command line: npm install -g vsceĮdit the README.md to your liking, then navigate to the base directory of the extension, and run vsce package. This can be published to the Azure Data Studio extension marketplace, or shared among your team or community. To share with others you need to package the extension into a single file. For example, when the button is clicked, launch a file-opening dialog or open a query editor. Add a flex component to put your button in.Add a button with a width of 300 to your new page.Once you are familiar with the template, here are some additional ideas to try: Modify src/main.ts as shown below, and you should see an additional page show up when you launch the wizard. Let's make a change to the wizard: we'll add a 4th, blank page. vsc-extension-quickstart.md: Contains technical documentation that may be a helpful reference when developing.main.ts: Contains the code to add UI elements to the Wizard, like pages, text, and buttons.This is also where main.ts is declared the main program entry point. package.json: This is the manifest file, where the Launch Wizard command is registered.The most important files to get started with extension development are package.json, src/main.ts, and vsc-extension-quickstart.md: Next, we will look at how to modify this default wizard. This will launch the default wizard that this extension contributes: Then, in Azure Data Studio, run the Launch Wizard command from the Command Palette (Ctr+Shift+P) in the new window. Select F5 in VS Code to launch Azure Data Studio in debug mode with the extension running. Before running, ensure that the Azure Data Studio Debug extension is installed in Visual Studio Code. Let's see what the wizard template gives us by running the extension. Open the folder in Visual Studio Code and you're ready to create your own wizard extension! Run the extension Then select Wizard, followed by the Getting Started Templateįollow the steps to fill in the extension name (for this tutorial, use My Test Extension), and add a description.Ĭompleting the previous steps creates a new folder. Launch the extension generator with the following command:Ĭhoose New Wizard or Dialog from the list of extension types. We will be walking through how to generate a Wizard template and modify it to create your own custom wizard. For example:īecause wizards are often helpful when working with data and extending the functionality of Azure Data Studio, Azure Data Studio offers APIs to create your own custom wizards. Common examples include software setup wizards and troubleshooting wizards. Wizards are a user interface type that present step-by-step pages for users to fill in, in order to accomplish a task. To install it, run the following from the command prompt: npm install -g yo generator-azuredatastudioĬreate your wizard extension Introduction to wizards To simplify the process of creating extensions, we've built an extension generator using Yeoman. For Mac or Linux, run Install 'azuredatastudio' command in PATH from the Command Palette in Azure Data Studio. For Windows, make sure you choose the Add to Path option in setup.exe. Ensure azuredatastudio is in your path.This lets you test your extension without needing to package and install it into Azure Data Studio. The Azure Data Studio Debug extension (optional).Visual Studio Code to debug the extension.Node.js includes npm, the Node.js Package Manager, which is used to install the extension generator. Node.js installed and available in your $PATH.To get started, you need the following components: Publish your extension to the marketplaceĪzure Data Studio is built on the same framework as Visual Studio Code, so extensions for Azure Data Studio are built using Visual Studio Code.
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