Merge branch 'master' of https://github.com/MicrosoftDocs/azure-docs-pr

Author: DennisLee-DennisLee

articles/hdinsight/hadoop/apache-hadoop-use-hive-ambari-view.md

@@ -2,13 +2,12 @@
 title: Use Apache Ambari Hive View with Apache Hadoop in Azure HDInsight
 description: Learn how to use the Hive View from your web browser to submit Hive queries. The Hive View is part of the Ambari Web UI provided with your Linux-based HDInsight cluster.
 author: hrasheed-msft
+ms.author: hrasheed
 ms.reviewer: jasonh
-
 ms.service: hdinsight
 ms.custom: hdinsightactive
 ms.topic: conceptual
-ms.date: 03/21/2019
-ms.author: hrasheed
+ms.date: 10/24/2019
 ---
 
 # Use Apache Ambari Hive View with Apache Hadoop in HDInsight
@@ -26,17 +25,17 @@ Learn how to run Hive queries by using Apache Ambari Hive View. The Hive View al
 
 1. From the [Azure portal](https://portal.azure.com/), select your cluster.  See [List and show clusters](../hdinsight-administer-use-portal-linux.md#showClusters) for instructions. The cluster is opened in a new portal blade.
 
-2. From **Cluster dashboards**, select **Ambari views**. When prompted to authenticate, use the cluster login (default `admin`) account name and password that you provided when you created the cluster.
+1. From **Cluster dashboards**, select **Ambari views**. When prompted to authenticate, use the cluster login (default `admin`) account name and password that you provided when you created the cluster. Alternatively, navigate to `https://CLUSTERNAME.azurehdinsight.net/#/main/views` in your browser where `CLUSTERNAME` is the name of your cluster.
 
-3. From the list of views, select __Hive View__.
+1. From the list of views, select __Hive View__.
 
     ![Apache Ambari select Apache Hive view](./media/apache-hadoop-use-hive-ambari-view/select-apache-hive-view.png)
 
     The Hive view page is similar to the following image:
 
     ![Image of the query worksheet for the Hive view](./media/apache-hadoop-use-hive-ambari-view/ambari-worksheet-view.png)
 
-4. From the __Query__ tab, paste the following HiveQL statements into the worksheet:
+1. From the __Query__ tab, paste the following HiveQL statements into the worksheet:
 
     ```hiveql
     DROP TABLE log4jLogs;
@@ -50,8 +49,8 @@ Learn how to run Hive queries by using Apache Ambari Hive View. The Hive View al
         t7 string)
     ROW FORMAT DELIMITED FIELDS TERMINATED BY ' '
     STORED AS TEXTFILE LOCATION '/example/data/';
-    SELECT t4 AS loglevel, COUNT(*) AS count FROM log4jLogs 
-        WHERE t4 = '[ERROR]' 
+    SELECT t4 AS loglevel, COUNT(*) AS count FROM log4jLogs
+        WHERE t4 = '[ERROR]'
         GROUP BY t4;
     ```
 
@@ -71,9 +70,9 @@ Learn how to run Hive queries by using Apache Ambari Hive View. The Hive View al
    > [!IMPORTANT]  
    > Leave the __Database__ selection at __default__. The examples in this document use the default database included with HDInsight.
 
-5. To start the query, select **Execute** below the worksheet. The button turns orange and the text changes to **Stop**.
+1. To start the query, select **Execute** below the worksheet. The button turns orange and the text changes to **Stop**.
 
-6. After the query has finished, the **Results** tab displays the results of the operation. The following text is the result of the query:
+1. After the query has finished, the **Results** tab displays the results of the operation. The following text is the result of the query:
 
         loglevel       count
         [ERROR]        3
@@ -129,7 +128,7 @@ Declare and save a set of UDFs by using the **UDF** tab at the top of the Hive V
 
 After you've added a UDF to the Hive View, an **Insert udfs** button appears at the bottom of the **Query Editor**. Selecting this entry displays a drop-down list of the UDFs defined in the Hive View. Selecting a UDF adds HiveQL statements to your query to enable the UDF.
 
-For example, if you have defined a UDF with the following properties:
+For example, if you've defined a UDF with the following properties:
 
 * Resource name: myudfs
 
@@ -139,7 +138,7 @@ For example, if you have defined a UDF with the following properties:
 
 * UDF class name: com.myudfs.Awesome
 
-Using the **Insert udfs** button displays an entry named **myudfs**, with another drop-down list for each UDF defined for that resource. In this case, it is **myawesomeudf**. Selecting this entry adds the following to the beginning of the query:
+Using the **Insert udfs** button displays an entry named **myudfs**, with another drop-down list for each UDF defined for that resource. In this case, it's **myawesomeudf**. Selecting this entry adds the following to the beginning of the query:
 
 ```hiveql
 add jar /myudfs.jar;

articles/hdinsight/hadoop/apache-hadoop-visual-studio-tools-get-started.md

@@ -2,14 +2,13 @@
 title: Apache Hadoop & Visual Studio Data Lake Tools - Azure HDInsight
 description: Learn how to install and use Data Lake Tools for Visual Studio to connect to Apache Hadoop clusters in Azure HDInsight, and then run Hive queries.
 keywords: hadoop tools,hive query,visual studio,visual studio hadoop
-services: hdinsight
 author: hrasheed-msft
 ms.author: hrasheed
 ms.reviewer: jasonh
 ms.service: hdinsight
 ms.custom: hdinsightactive,hdiseo17may2017,seodec18
 ms.topic: conceptual
-ms.date: 06/03/2019
+ms.date: 10/29/2019
 ---
 
 # Use Data Lake Tools for Visual Studio to connect to Azure HDInsight and run Apache Hive queries
@@ -33,7 +32,8 @@ To complete this article and use Data Lake Tools for Visual Studio, you need the
   > [!IMPORTANT]  
   > Data Lake Tools is no longer supported for Visual Studio 2013.
 
-## Install Data Lake Tools for Visual Studio  
+## Install Data Lake Tools for Visual Studio
+
 <a name="install-or-update-data-lake-tools-for-visual-studio"></a>
 
 * Visual Studio 2017 or Visual Studio 2019  
@@ -53,16 +53,17 @@ To complete this article and use Data Lake Tools for Visual Studio, you need the
 
 1. Open Visual Studio.
 
-2. From the menu bar, navigate to **Tools** > **Extensions and Updates...**.
+2. From the menu bar, navigate to **Extensions** > **Manage Extensions**.
 
-3. From the **Extensions and Updates** window, expand **Updates** on the left.
+3. From the **Manage Extensions** window, expand **Updates** on the left.
 
 4. If an update is available, **Azure Data Lake and Stream Analytic Tools** will appear in the main window.  Select **Update**.
 
 > [!NOTE]  
 > You can use only Data Lake Tools version 2.3.0.0 or later to connect to Interactive Query clusters and run interactive Hive queries.
 
 ## Connect to Azure subscriptions
+
 You can use Data Lake Tools for Visual Studio to connect to your HDInsight clusters, perform some basic management operations, and run Hive queries.
 
 > [!NOTE]  
@@ -88,7 +89,7 @@ To connect to the Azure portal from Visual Studio:
 
 1. From Server Explorer, navigate to **Azure** > **HDInsight** and select your cluster.
 
-2. Right-click an HDInsight cluster, and select **Manage Cluster in Azure portal[sic]**.
+2. Right-click an HDInsight cluster, and select **Manage Cluster in Azure Portal**.
 
 To ask questions and/or provide feedback from Visual Studio:
 
@@ -97,6 +98,7 @@ To ask questions and/or provide feedback from Visual Studio:
 2. Right-click **HDInsight** and select either **MSDN Forum** to ask questions, or **Give Feedback** to give feedback.
 
 ## Link a cluster
+
 You could link a cluster by right-clicking on **HDInsight** then select **Link a HDInsight Cluster**. Enter **Connection Url**, **user name** and **password**, click **Next** then **Finish**, the cluster should be listed under HDInsight node successful.
 
 ![Screenshot of Data Lake Tools for Visual Studio link cluster dialog](./media/apache-hadoop-visual-studio-tools-get-started/hdinsight-visual-studio-tools-link-cluster-dialog.png)
@@ -106,6 +108,7 @@ Right click on the linked cluster, select **Edit**, user could update the cluste
 ![Screenshot of Data Lake Tools for Visual Studio link cluster update](./media/apache-hadoop-visual-studio-tools-get-started/hdinsight-visual-studio-tools-link-cluster-update.png)
 
 ## Explore linked resources
+
 From Server Explorer, you can see the default storage account and any linked storage accounts. If you expand the default storage account, you can see the containers on the storage account. The default storage account and the default container are marked. Right-click any of the containers to view the container contents.
 
 ![Data Lake Tools for Visual Studio linked resources in Server Explorer](./media/apache-hadoop-visual-studio-tools-get-started/hdinsight-visual-studio-tools-linked-resources.png "List linked resources")
@@ -115,6 +118,7 @@ After opening a container, you can use the following buttons to upload, delete,
 ![Data Lake Tools for Visual Studio blob operations in Server Explorer](./media/apache-hadoop-visual-studio-tools-get-started/hdinsight-visual-studio-tools-blob-operations.png "Upload, delete, and download blobs in Server Explorer")
 
 ## Run interactive Apache Hive queries
+
 [Apache Hive](https://hive.apache.org) is a data warehouse infrastructure that's built on Hadoop. Hive is used for data summarization, queries, and analysis. You can use Data Lake Tools for Visual Studio to run Hive queries from Visual Studio. For more information about Hive, see [Use Apache Hive with HDInsight](hdinsight-use-hive.md).
 
 [Interactive Query](../interactive-query/apache-interactive-query-get-started.md) uses [Hive on LLAP](https://cwiki.apache.org/confluence/display/Hive/LLAP) in Apache Hive 2.1. Interactive Query brings interactivity to complex data warehouse-style queries on large, stored datasets. Running Hive queries on Interactive Query is much faster compared to traditional Hive batch jobs. 
@@ -127,6 +131,7 @@ You can also use Data Lake Tools for Visual Studio to see what’s inside a Hive
 From Server Explorer, navigate to **Azure** > **HDInsight** and select your cluster.  This will be the starting point in Server Explorer for the sections to follow.
 
 ### View hivesampletable
+
 All HDInsight clusters have a default sample Hive table called `hivesampletable`.  
 
 From your cluster, navigate to **Hive Databases** > **default** > **hivesampletable**.
@@ -144,6 +149,7 @@ Right-click **hivesampletable**, and select **View Top 100 Rows**.  This is equi
   ![Screenshot of an HDInsight Hive Visual Studio schema query](./media/apache-hadoop-visual-studio-tools-get-started/hdinsight-visual-studio-tools-hive-schema.png "Hive query results")
 
 ### Create Hive tables
+
 To create a Hive table, you can use the GUI or you can use Hive queries. For information about using Hive queries, see [Run Apache Hive queries](#run.queries).
 
 1. From your cluster, navigate to **Hive Databases** > **default**.
@@ -157,6 +163,7 @@ To create a Hive table, you can use the GUI or you can use Hive queries. For inf
     ![Screenshot of the HDInsight Visual Studio Tools Create Table window](./media/apache-hadoop-visual-studio-tools-get-started/hdinsight-visual-studio-tools-create-hive-table.png "Create Hive table")
 
 ### <a name="run.queries"></a>Create and run Hive queries
+
 You have two options for creating and running Hive queries:
 
 * Create ad-hoc queries
@@ -235,7 +242,7 @@ Currently, job graphs are only shown for Hive jobs that use Tez as the execution
 
 To view all the operators inside the vertex, double-click on the vertices of the job graph. You can also point to a specific operator to see more details about the operator.
 
-The job graph may not appear even if Tez is specified as the execution engine if no Tez application is launched.  This might happen because the job does not contain DML statements, or the DML statements can return without launching a Tez application. For example, `SELECT * FROM table1` will not launch the Tez application.
+The job graph may not appear even if Tez is specified as the execution engine if no Tez application is launched.  This might happen because the job doesn't contain DML statements, or the DML statements can return without launching a Tez application. For example, `SELECT * FROM table1` won't launch the Tez application.
 
 ![Visual Studio Apache Hive job graph](./media/apache-hadoop-visual-studio-tools-get-started/hdinsight-fast-path-hive-execution.png "Hive job summary")
 
@@ -246,8 +253,8 @@ From the job graph, you can select **Task Execution Detail** to get structured a
 
 ![Data Lake Visual Studio Tools Task Execution View window](./media/apache-hadoop-visual-studio-tools-get-started/hdinsight-visual-studio-tools-task-execution-view.png "Task Execution View")
 
-
 ### View Hive jobs
+
 You can view job queries, job output, job logs, and Yarn logs for Hive jobs.
 
 In the most recent release of the tools, you can see what’s inside your Hive jobs by collecting and surfacing Yarn logs. A Yarn log can help you investigating performance issues. For more information about how HDInsight collects Yarn logs, see [Access HDInsight application logs programmatically](../hdinsight-hadoop-access-yarn-app-logs.md).
@@ -257,14 +264,13 @@ To view Hive jobs:
 1. Right-click an HDInsight cluster, and select **View Jobs**. A list of the Hive jobs that ran on the cluster appears.  
 
 2. Select a job. In the **Hive Job Summary** window, select one of the following:
-    - **Job Query**
-    - **Job Output**
-    - **Job Log**  
-    - **Yarn log**
+    * **Job Query**
+    * **Job Output**
+    * **Job Log**  
+    * **Yarn log**
 
     ![Screenshot of the HDInsight Visual Studio Tools View Hive Jobs window](./media/apache-hadoop-visual-studio-tools-get-started/hdinsight-visual-studio-tools-view-hive-jobs.png "View Hive jobs")
 
-
 ## Run Apache Pig scripts
 
 1. From the menu bar, navigate to **File** > **New** > **Project...**.
@@ -276,15 +282,16 @@ To view Hive jobs:
 4. In **Solution Explorer**, double-click **Script.pig** to open the script.
 
 ## Feedback and known issues
+
 * An issue in which results that are started with null values aren't shown has been fixed. If you're blocked on this issue, contact the support team.
 * The HQL script that Visual Studio creates is encoded, depending on the user’s local region setting. The script doesn't execute correctly if you upload the script to a cluster as a binary file.
 
 ## Next steps
+
 In this article, you learned how to use the Data Lake Tools for Visual Studio package to connect to HDInsight clusters from Visual Studio. You also learned how to run a Hive query. For more information, see these articles:
 
 * [Run Apache Hive queries using the Data Lake tools for Visual Studio](apache-hadoop-use-hive-visual-studio.md)
 * [Use Hadoop Hive in HDInsight](hdinsight-use-hive.md)
 * [Get started using Apache Hadoop in HDInsight](apache-hadoop-linux-tutorial-get-started.md)
 * [Submit Apache Hadoop jobs in HDInsight](submit-apache-hadoop-jobs-programmatically.md)
 * [Analyze Twitter data with Apache Hadoop in HDInsight](../hdinsight-analyze-twitter-data.md)
-