Merge pull request #111776 from su-jie/vscodeqs

Update ASA tools quick start doc

Author: PRMerger20

articles/stream-analytics/feature-comparison.md

@@ -12,6 +12,9 @@ ms.date: 06/27/2019
 
 With Azure Stream Analytics, you can create streaming solutions in the cloud and at the IoT Edge using [Azure portal](stream-analytics-quick-create-portal.md), [Visual Studio](stream-analytics-quick-create-vs.md), and [Visual Studio Code](quick-create-vs-code.md). The tables in this article show which features are supported by each platform for both job types.
 
+> [!NOTE]
+> Visual Studio and Visual Studio Code tools don't support jobs in the China East, China North, Germany Central, and Germany NorthEast regions.
+
 ## Cloud job features
 
 

articles/stream-analytics/quick-create-vs-code.md

@@ -14,6 +14,9 @@ ms.custom: mvc
 
 This quickstart shows you how to create and run an Azure Stream Analytics job by using the Azure Stream Analytics Tools extension for Visual Studio Code. The example job reads streaming data from an Azure IoT Hub device. You define a job that calculates the average temperature when over 27° and writes the resulting output events to a new file in blob storage.
 
+> [!NOTE]
+> Visual Studio and Visual Studio Code tools don't support jobs in the China East, China North, Germany Central, and Germany NorthEast regions.
+
 ## Before you begin
 
 * If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/).
@@ -138,14 +141,6 @@ Before you define the Stream Analytics job, you should prepare the data that's l
    HAVING Temperature > 27
    ```
 
-## Test the query locally with sample data
-
-Before you run the query in the cloud, you can test it locally with a local sample data file or with data captured from live input to verify the query logic.
-
-Follow the instructions in [Test queries locally with sample data](visual-studio-code-local-run.md) for more details.
-
- ![Test with sample data in Visual Studio Code](./media/vscode-local-run/localrun-localinput.gif)
-
 ## Define a live input
 
 1. Right-click the **Inputs** folder in your Stream Analytics project. Then select **ASA: Add Input** from the context menu.
@@ -277,6 +272,8 @@ In this quickstart, you deployed a simple Stream Analytics job by using Visual S
 
 To learn about Azure Stream Analytics Tools for Visual Studio Code, continue to the following articles:
 
+* [Test Stream Analytics queries locally with sample data using Visual Studio Code](visual-studio-code-local-run.md)
+
 * [Test Azure Stream Analytics jobs locally against live input with Visual Studio Code](visual-studio-code-local-run-live-input.md)
 
 * [Use Visual Studio Code to view Azure Stream Analytics jobs](visual-studio-code-explore-jobs.md)

articles/stream-analytics/stream-analytics-quick-create-vs.md

@@ -14,6 +14,9 @@ ms.service: stream-analytics
 
 This quickstart shows you how to create and run a Stream Analytics job using Azure Stream Analytics tools for Visual Studio. The example job reads streaming data from an IoT Hub device. You define a job that calculates the average temperature when over 27° and writes the resulting output events to a new file in blob storage.
 
+> [!NOTE]
+> Visual Studio and Visual Studio Code tools don't support jobs in the China East, China North, Germany Central, and Germany NorthEast regions.
+
 ## Before you begin
 
 * If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/).