News

Quality Is Job 1 for Azure Data Lake Tools for Visual Studio Code

An update to this VS Code extension allows for locally running and debugging code prior to pushing code to production Azure services.

Microsoft's Big Data Team has made a quality update to the Azure Data Lake Tools for Visual Studio Code, available in a July build. The latest version can be downloaded from the Visual Studio Code Marketplace or going to the VSCode Extension repo.

As th name implies, Azure Data Lake Tools for Visual Studio Code is described by Microsoft as a "a cross-platform, light-weight, and keyboard-focused authoring experience for U-SQL" projects that run on Azure Data Lake. Jenny Jiang, a program manager with the Big Data Team, in a blog post, notes that it's not one to be ignored, as it comes with a number of refinements in debugging and integration across the Azure Data Lake toolings.

"This is a quality milestone and we added local debug capability for C# code behind for window users, refined Azure Data Lake (ADLA & ADLS) integration experiences, and focused on refactoring the components and fixing bugs," writes Jiang.

Among the highlights of this update is the ability to test data locally. That capability is via a set of commands: ADL: Start Local Run Service to start the local run, and ADL: Submit Job to submit the job being tested to a local account. Job details can then be viewed using the CMD console or jobURL output window.

Debugging can also be done locally using the ADL: Start Local Run Service and pairing it with the ADL: Local Debug command.

Two more useful commands are available as well: ADL: Register Assembly through Configuration registers assemblies and assembly dependencies, and ADL: Upload File through Configuraton allows for uploading a multitude of files at the same time.

ADLT for VS Code requires an installation of VS Code with an installation of JRE 1.8.x, and the appropriate version (Linux or Mac) of Mono and .NET Core prior to obtaining and installing the extension.

About the Author

Michael Domingo is a long-time software publishing veteran, having started up and managed developer publications for the Clipper compiler, Microsoft Access, and Visual Basic. For 1105 Media, he managed MCPmag.com, Virtualization Review, and was Editor in Chief of Visual Studio Magazine and host of The .NET Insight Podcast until 2017. Contact him via his photography Web site at http://domingophoto.com.

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