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

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@@ -30,11 +30,11 @@ Learn how to run Hive queries by using Apache Ambari Hive View. The Hive View al
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3. From the list of views, select __Hive View__.
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![The Hive view selected](./media/apache-hadoop-use-hive-ambari-view/select-hive-view.png)
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![The Hive view selected](./media/apache-hadoop-use-hive-ambari-view/select-apache-hive-view.png)
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The Hive view page is similar to the following image:
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![Image of the query worksheet for the Hive view](./media/apache-hadoop-use-hive-ambari-view/ambari-hive-view.png)
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![Image of the query worksheet for the Hive view](./media/apache-hadoop-use-hive-ambari-view/ambari-worksheet-view.png)
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4. From the __Query__ tab, paste the following HiveQL statements into the worksheet:
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The __Jobs__ tab displays a history of Hive queries.
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![Image of the job history](./media/apache-hadoop-use-hive-ambari-view/job-history.png)
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![Image of the job history](./media/apache-hadoop-use-hive-ambari-view/apache-hive-job-history.png)
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## Database tables
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From the **Query** tab, you can optionally save queries. After you save a query, you can reuse it from the __Saved Queries__ tab.
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![Image of saved queries tab](./media/apache-hadoop-use-hive-ambari-view/saved-queries.png)
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![Image of saved queries tab](./media/apache-hadoop-use-hive-ambari-view/ambari-saved-queries.png)
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> [!TIP]
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> 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.

articles/hdinsight/hadoop/apache-hadoop-use-hive-visual-studio.md

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@@ -55,7 +55,7 @@ Ad hoc queries can be executed in either **Batch** or **Interactive** mode.
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6. To run the same query in **Batch** mode, toggle the drop-down list from **Interactive** to **Batch**. Note that the execution button changes from **Execute** to **Submit**.
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![Screenshot of submit a hive query](./media/apache-hadoop-use-hive-visual-studio/vs-batch-query.png)
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![Screenshot of submit a hive query](./media/apache-hadoop-use-hive-visual-studio/visual-studio-batch-query.png)
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The Hive editor supports IntelliSense. Data Lake Tools for Visual Studio supports loading remote metadata when you edit your Hive script. For example, if you type `SELECT * FROM`, IntelliSense lists all the suggested table names. When a table name is specified, IntelliSense lists the column names. The tools support most Hive DML statements, subqueries, and built-in UDFs. IntelliSense suggests only the metadata of the cluster that is selected in the HDInsight toolbar.
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