Merge pull request #110364 from dagiro/freshness36

freshness36

Author: Jak-MS

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

@@ -5,9 +5,9 @@ author: hrasheed-msft
 ms.author: hrasheed
 ms.reviewer: jasonh
 ms.service: hdinsight
-ms.custom: hdinsightactive
 ms.topic: conceptual
-ms.date: 10/24/2019
+ms.custom: hdinsightactive
+ms.date: 04/06/2020
 ---
 
 # Use Apache Ambari Hive View with Apache Hadoop in HDInsight
@@ -18,14 +18,13 @@ Learn how to run Hive queries by using Apache Ambari Hive View. The Hive View al
 
 ## Prerequisites
 
-* A Hadoop cluster on HDInsight. See [Get Started with HDInsight on Linux](./apache-hadoop-linux-tutorial-get-started.md).
-* A web browser
+A Hadoop cluster on HDInsight. See [Get Started with HDInsight on Linux](./apache-hadoop-linux-tutorial-get-started.md).
 
 ## Run a Hive query
 
-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.
+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 view.
 
-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.
+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. You can also navigate to `https://CLUSTERNAME.azurehdinsight.net/#/main/views` in your browser where `CLUSTERNAME` is the name of your cluster.
 
 1. From the list of views, select __Hive View__.
 
@@ -54,18 +53,15 @@ Learn how to run Hive queries by using Apache Ambari Hive View. The Hive View al
         GROUP BY t4;
     ```
 
-    These statements perform the following actions:
-
-   * `DROP TABLE`: Deletes the table and the data file, in case the table already exists.
-
-   * `CREATE EXTERNAL TABLE`: Creates a new "external" table in Hive.
-     External tables store only the table definition in Hive. The data is left in the original location.
-
-   * `ROW FORMAT`: Shows how the data is formatted. In this case, the fields in each log are separated by a space.
-
-   * `STORED AS TEXTFILE LOCATION`: Shows where the data is stored, and that it's stored as text.
+    These statements do the following actions:
 
-   * `SELECT`: Selects a count of all rows where column t4 contains the value [ERROR].
+    |Statement | Description |
+    |---|---|
+    |DROP TABLE|Deletes the table and the data file, in case the table already exists.|
+    |CREATE EXTERNAL TABLE|Creates a new "external" table in Hive. External tables store only the table definition in Hive. The data is left in the original location.|
+    |ROW FORMAT|Shows how the data is formatted. In this case, the fields in each log are separated by a space.|
+    |STORED AS TEXTFILE LOCATION|Shows where the data is stored, and that it's stored as text.|
+    |SELECT|Selects a count of all rows where column t4 contains the value [ERROR].|
 
    > [!IMPORTANT]  
    > Leave the __Database__ selection at __default__. The examples in this document use the default database included with HDInsight.
@@ -111,7 +107,7 @@ You can use the __Tables__ tab to work with tables within a Hive database.
 
 From the **Query** tab, you can optionally save queries. After you save a query, you can reuse it from the __Saved Queries__ tab.
 
-![Apache Hive view saved queries tab](./media/apache-hadoop-use-hive-ambari-view/ambari-saved-queries.png)
+![Apache Hive views saved queries tab](./media/apache-hadoop-use-hive-ambari-view/ambari-saved-queries.png)
 
 > [!TIP]  
 > Saved queries are stored in the default cluster storage. You can find the saved queries under the path `/user/<username>/hive/scripts`. These are stored as plain-text `.hql` files.
@@ -126,7 +122,7 @@ Declare and save a set of UDFs by using the **UDF** tab at the top of the Hive V
 
 ![Apache Hive view UDFs tab display](./media/apache-hadoop-use-hive-ambari-view/user-defined-functions.png)
 
-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.
+An **Insert udfs** button appears at the bottom of the **Query Editor**. 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've defined a UDF with the following properties:
 
@@ -150,13 +146,13 @@ You can then use the UDF in your query. For example, `SELECT myawesomeudf(name)
 For more information on using UDFs with Hive on HDInsight, see the following articles:
 
 * [Using Python with Apache Hive and Apache Pig in HDInsight](python-udf-hdinsight.md)
-* [How to add a custom Apache Hive UDF to HDInsight](https://blogs.msdn.com/b/bigdatasupport/archive/2014/01/14/how-to-add-custom-hive-udfs-to-hdinsight.aspx)
+* [Use a Java UDF with Apache Hive in HDInsight](./apache-hadoop-hive-java-udf.md)
 
 ## Hive settings
 
 You can change various Hive settings, such as changing the execution engine for Hive from Tez (the default) to MapReduce.
 
-## <a id="nextsteps"></a>Next steps
+## Next steps
 
 For general information on Hive on HDInsight: