News

Wrangling MongoDB in VS Code? Now There's Documentation

The May update of Visual Studio Code has added documentation for using the popular MongoDB document store database in Microsoft's lightweight, cross-platform code editor.

"We've added a new Working with MongoDB topic for managing MongoDB databases in VS Code with the Cosmos DB extension," the VS Code team said in a blog post announcing v1.24 -- or the May update, the latest shipment in the tool's monthly cadence.

The open source MongoDB always ranks highly in rankings of database popularity. In fact, according to the DB-Engines ranking site, MongoDB is the highest-rated document store offering, coming in 5th in the overall ranking of all databases.

The new documentation shows -- after installing the Azure Cosmos DB extension -- developers can create, manage and query MongoDB databases from within VS Code. It shows how to work with Cosmos DB Explorer, connect to MongoDB, use MongoDB commands, use Scrapbooks and more.

Also on the documentation front, the VS Code has updated its guidance for using Docker, the leading container platform. That guidance shows how to create, publish and reuse Docker containers in the code editor.

There's also the typically large number of other new features and updates in the May release, including:

  • The capability to duplicate a workspace in a new window, providing a workaround of the editor's inability to open a workspace in two windows.
  • The ability to zoom up the size of fonts in the editor, while type in the rest of the UI remains the same, useful for presentations and pair-programming.
  • The ability to immediately and automatically go into Debug view upon hitting a breakpoint.
  • Support for TypeScript 2.9, Microsoft's take on the JavaScript language that emphasizes typing functionality. The VS Code team said the new TypeScript edition adds new features such as import() types, json imports and JS Docs improvements, along with new tooling support and bug fixes.
  • Previews -- features not quite ready for production use -- for: an outline view; an editor grid layout; a new Settings editor featuring an experimental GUI; and alternative locations for the Debug toolbar.
  • Several improvements focusing on extensions -- a mainstay feature of VS Code -- dealing with extension authoring, proposed extension APIs and the team's own contributions to extensions.
  • Moving continuous integration builds to Visual Studio Team Services, which enables a single YAML-based build definition that can be used across Windows, macOS and Linux.

VS Code developers can learn more about these and other updates by checking out a v1.24 highlights video.

About the Author

David Ramel is an editor and writer for Converge360.

comments powered by Disqus

Featured

  • Creating Reactive Applications in .NET

    In modern applications, data is being retrieved in asynchronous, real-time streams, as traditional pull requests where the clients asks for data from the server are becoming a thing of the past.

  • AI for GitHub Collaboration? Maybe Not So Much

    No doubt GitHub Copilot has been a boon for developers, but AI might not be the best tool for collaboration, according to developers weighing in on a recent social media post from the GitHub team.

  • Visual Studio 2022 Getting VS Code 'Command Palette' Equivalent

    As any Visual Studio Code user knows, the editor's command palette is a powerful tool for getting things done quickly, without having to navigate through menus and dialogs. Now, we learn how an equivalent is coming for Microsoft's flagship Visual Studio IDE, invoked by the same familiar Ctrl+Shift+P keyboard shortcut.

  • .NET 9 Preview 3: 'I've Been Waiting 9 Years for This API!'

    Microsoft's third preview of .NET 9 sees a lot of minor tweaks and fixes with no earth-shaking new functionality, but little things can be important to individual developers.

  • Data Anomaly Detection Using a Neural Autoencoder with C#

    Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items.

Subscribe on YouTube