Stream Analytics Tools for Visual Studio Code (Preview)

Author, manage and test your Stream analytics job both locally and in the cloud with rich IntelliSense and native source control.

Prerequisites

• Install .NET Core SDK.

Getting started tutorials

• Create an Azure Stream Analytics Job in Visual Studio Code
• Test Stream Analytics queries locally with Visual Studio Code
• Continuously integration and deployment with Stream Analytics CI/CD npm package

Supported Operating Systems

• Windows, macOS, Linux

Features

Manage and author job

• Create new Stream Analytics cloud projects
• Export existing jobs in the cloud to local projects
• Author Stream Analytics query with rich IntelliSense
  • Syntax coloring, auto completion, error marker
  • Input column, UDF/UDA, temp result name auto completion
• Configure inputs, outputs and job properties
• Preview local and live input data
• Create JavaScript function (UDF/UDA)
• Create .NET user-defined function
• Create Azure Machine Learning function

Test job locally

• Test job locally using local sample data
• Test job locally against live stream input

Compile and submit job

• Compile job and generate Azure Resource Manager templates
  • Compile in Visual Studio Code
  • Compile on an arbitrary machine using azure-streamanalytics-cicd npm package
• Submit job to Azure

Stream Analytics Explorer

• List jobs in the cloud
• View inputs, outputs, job query and job configurations
• Start/stop job, open job view in Azure portal

Current Limitations

• Germany Central, Germany North and all China regions are not supported.
• This extension only works for Stream Analytics cloud jobs.
• Only Mangened Identity authentication is supported for Power BI as output sink.
• Only Mangened Identity authentication is supported for Azure Data Lake Storage Gen1 as output sink.
• .NET user-defined deserializer is not supported.
• Opening a job in Azure portal in Stream Analytics Explorer is not supported on Linux.
• Azure Machine Learning Studio is not supported.
• The following features are not supported in local testing.
  • JavaScript function on Linux and Mac.
  • Azure Machine Learning Function will not return result if input size is bigger than the function batch size.

Create Stream Analytics project

• Create new Stream Analytics projects

  

• Export existing jobs in the cloud to local projects

  

• Author Stream Analytics query

  

• Add inputs or outputs

  

• Preview inputs

  

• Configure job properties

  

• Create JavaScript function (UDF/UDA)

  

Compile Stream Analytics job

• Compile script

  • Syntax check
  • Generate ARM templates for deployment

  

Local Run

• Test locally with sample data.

  

• Test locally against live stream input.

  

Submit job to Azure

Stream Analytics Explorer

• List jobs in the cloud.

• View inputs, outputs, job query and job configurations.

• Start, stop, delete, refresh job and open job view in Azure portal

  

npm package for CI/CD

The azure-streamanalytics-cicd NPM package is for auto deployement secenario. It can be used on an arbitrary machine.

Make sure the asaproj.json and JobConfig.json files are in the same folder with the script file.

azure-streamanalytics-cicd build -scriptPath <scriptFullPath> [-outputPath <outputPath>]

Found a Bug?

• Contact ASAToolsFeedback.
• Open a issue on https://github.com/Microsoft/vscode-asa/issues.