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The Azure Stream Analytics (ASA) extension for Visual Studio Code gives you a seamless experience for managing Stream Analytics jobs in the cloud. It can be used across Windows, Mac and Linux platforms. With the ASA extension, it allows you to:
You can use the job view to interact with Azure Stream Analytics jobs from Visual Studio.
Select the Azure icon on Visual Studio Code Activity Bar and then expand Stream Analytics node. Your jobs should appear under your subscriptions.
Expand your job node, you can open and view the job query, configuration, inputs, outputs and functions.
Right-click your job node, and choose the Open Job View in Portal node to open the job view in the Azure portal.
You can use job monitor in Visual Studio Code to view and troubleshoot your Azure Stream Analytics jobs.
Select Job Monitor. Your Job Monitor should appear, and job diagram should be loaded automatically.
You can view your job diagram and select Job Summary to view properties and information of your job.
You can select Test Connection button to test connection to your input and output.
You can also select Locate Script button to view your query.
Select the arrow button, you can open the Metrics panel.
You can interact with it and analyze your job with key metrics showing in chart. You can choose to view job-level metrics or nodes level metrics. And you can also decide which metrics you want them to show in the chart.
You can view your job’s diagnostic logs and activity logs for troubleshooting.
Select Diagnostic Logs tab.
Select Activity Logs tab
Events
Mar 31, 11 PM - Apr 2, 11 PM
The biggest Fabric, Power BI, and SQL learning event. March 31 – April 2. Use code FABINSIDER to save $400.
Register todayTraining
Module
Visualize real-time data with Azure Stream Analytics and Power BI - Training
By combining the stream processing capabilities of Azure Stream Analytics and the data visualization capabilities of Microsoft Power BI, you can create real-time data dashboards.
Certification
Microsoft Certified: Azure Data Scientist Associate - Certifications
Manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning and MLflow.