Merge pull request #96065 from su-jie/vscodelivetesting

Add doc for live testing in vs code

Author: PMEds28

articles/stream-analytics/TOC.yml

@@ -174,9 +174,9 @@
     items:
     - name: Install tools
       href: stream-analytics-tools-for-visual-studio-install.md
-    - name: Test with sample data
+    - name: Test locally with sample data
       href: stream-analytics-vs-tools-local-run.md
-    - name: Test with live data
+    - name: Test locally with live data
       href: stream-analytics-live-data-local-testing.md
     - name: View jobs in Visual Studio
       href: stream-analytics-vs-tools.md
@@ -188,12 +188,14 @@
       href: stream-analytics-edge-csharp-udf-methods.md
   - name: Visual Studio Code
     items:
-    - name: Test with sample data
-      href: vscode-local-run.md
+    - name: Test locally with sample data
+      href: visual-studio-code-local-run.md
+    - name: Test locally with live data
+      href: visual-studio-code-local-run-live-input.md
     - name: Set up CI/CD pipeline
       href: setup-cicd-vs-code.md
     - name: Explore jobs
-      href: vscode-explore-jobs.md
+      href: visual-studio-code-explore-jobs.md
   - name: Troubleshoot
     items:
     - name: Input

articles/stream-analytics/copy-job.md

@@ -20,33 +20,29 @@ You can copy or back up your deployed Azure Stream Analytics jobs using Visual S
 
 * Install [Azure Stream Analytics extension for Visual Studio Code](https://docs.microsoft.com/azure/stream-analytics/quick-create-vs-code#install-the-azure-stream-analytics-extension) or [Azure Stream Analytics tools for Visual Studio](https://docs.microsoft.com/azure/stream-analytics/quick-create-vs-code#install-the-azure-stream-analytics-extension).  
 
-
-
-## Visual Studio Code 
+## Visual Studio Code
 
 1. Click the **Azure** icon on the Visual Studio Code Activity Bar and then expand **Stream Analytics** node. Your jobs should appear under your subscriptions.
 
    ![Open Stream Analytics Explorer](./media/vscode-explore-jobs/open-explorer.png)
 
-2. To export a job to a local project, locate the job you wish to export in the **Stream Analytics Explorer** in Visual Studio Code. Then select a folder for your project. 
+2. To export a job to a local project, locate the job you wish to export in the **Stream Analytics Explorer** in Visual Studio Code. Then select a folder for your project.
 
     ![Export ASA job in Visual Studio Code](./media/vscode-explore-jobs/export-job.png)
 
     The project is exported to the folder you select and added to your current workspace.
 
     ![Export ASA job in Visual Studio Code](./media/stream-analytics-manage-job/copy-backup-stream-analytics-jobs.png)
 
-3. To publish the job to another region or backup using another name, select **Select from your subscriptions to publish** in the query editor (\*.asaql) and follow the instructions. 
-
-    ![Publish to Azure in Visual Studio Code](./media/quick-create-vs-code/select-subscription.png)
-
+3. To publish the job to another region or backup using another name, select **Select from your subscriptions to publish** in the query editor (\*.asaql) and follow the instructions.
 
-## Visual Studio 
+    ![Publish to Azure in Visual Studio Code](./media/quick-create-vs-code/submit-job.png)
 
-1. Follow the [export a deployed Azure Stream Analytics job to a project instructions](https://docs.microsoft.com/azure/stream-analytics/stream-analytics-vs-tools#export-jobs-to-a-project). 
+## Visual Studio
 
-2. Open the \*.asaql file in the Query Editor, select **Submit To Azure** in the script editor and follow the instructions to publish the job to another region or backup using a new name. 
+1. Follow the [export a deployed Azure Stream Analytics job to a project instructions](https://docs.microsoft.com/azure/stream-analytics/stream-analytics-vs-tools#export-jobs-to-a-project).
 
+2. Open the \*.asaql file in the Query Editor, select **Submit To Azure** in the script editor and follow the instructions to publish the job to another region or backup using a new name.
 
 ## Next steps
 

articles/stream-analytics/feature-comparison.md

@@ -26,14 +26,16 @@ With Azure Stream Analytics, you can create streaming solutions in the cloud and
 |SQL database reference data     |Yes         |Yes         |Yes         |
 |Custom message properties     |Yes         |No         |No         |
 |Share inputs and outputs across multiple queries     |No         |Yes         |Yes         |
+|C# custom code function and Deserializer||Yes|No|
 |JavaScript UDF and UDA     |Yes         |Yes         |Windows only         |
-|Machine Learning callouts     |Yes, but the query cannot be tested        |Yes, but cannot be tested locally         |No         |
-|Compatibility level     |1.0</br>1.1</br>1.2         |1.0</br>1.1</br>1.2          |1.0</br>1.1</br>1.2          |
+|Machine Learning Service     |Yes, but the query cannot be tested        |Yes         |No         |
+|Machine Learning Studio     |Yes, but the query cannot be tested        |Yes |No         |
+|Compatibility level     |1.0</br>1.1</br>1.2  (default)         |1.0</br>1.1</br>1.2 (default)           |1.0</br>1.1</br>1.2 (default)           |
 |Built-in ML-based Anomaly Detection functions     |Yes         |Yes         |Yes         |
 |Built-in GeoSpatial functions     |Yes         |Yes         |Yes         |
 |Query testing with a sample file     |Yes         |Yes         |Yes         |
-|Live data local testing     |No         |Yes         |No         |
-|List jobs and view job entities     |Yes         |Yes         |Yes         |
+|Live data local testing     |No         |Yes (with query diagram)        |Yes      |
+|List jobs and view job entities     |Yes         |Yes        |Yes         |
 |Export a job to a local project     |No         |Yes         |Yes         |
 |Submit, start, and stop jobs     |Yes         |Yes         |Yes         |
 |Source control     |No         |Yes         |Yes         |
@@ -66,6 +68,6 @@ With Azure Stream Analytics, you can create streaming solutions in the cloud and
 * [Tutorial: Write a C# user-defined function for Azure Stream Analytics IoT Edge job (Preview)](stream-analytics-edge-csharp-udf.md)
 * [Develop Stream Analytics IoT Edge jobs using Visual Studio tools](stream-analytics-tools-for-visual-studio-edge-jobs.md)
 * [Use Visual Studio to view Azure Stream Analytics jobs](stream-analytics-vs-tools.md)
-* [Explore Azure Stream Analytics with Visual Studio Code (Preview)](vscode-explore-jobs.md)
+* [Explore Azure Stream Analytics with Visual Studio Code (Preview)](visual-studio-code-explore-jobs.md)
 
 

articles/stream-analytics/index.yml

@@ -149,9 +149,9 @@ landingContent:
       - linkListType: how-to-guide
         links:
         - text: Explore jobs with Visual Studio Code
-          url: vscode-local-run.md
+          url: visual-studio-code-explore-jobs.md
         - text: Test queries with sample data in Visual Studio Code
-          url: vscode-local-run.md
+          url: visual-studio-code-local-run.md
         - text: Install tools for Visual Studio
           url: stream-analytics-tools-for-visual-studio-install.md
         - text: Test queries with sample data in Visual Studio