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# Create Apache HBase clusters on HDInsight in Azure Virtual Network
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Resource group|Select **Create new**, and specify a new resource group name.|
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|Location|Select a location for the resource group.|
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|Cluster Name|Enter a name for the Hadoop cluster to be created.|
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|Cluster Login User Name and Password|The default User Name is **admin**. Provide a password.|
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|Cluster sign-in User Name and Password|The default User Name is **admin**. Provide a password.|
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|Ssh User Name and Password|The default User Name is **sshuser**. Provide a password.|
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Select **I agree to the terms and the conditions**.
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1. Select **Purchase**. It takes about around 20 minutes to create a cluster. Once the cluster is created, you can select the cluster in the portal to open it.
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After you complete the article, you might want to delete the cluster. With HDInsight, your data is stored in Azure Storage, so you can safely delete a cluster when it is not in use. You are also charged for an HDInsight cluster, even when it is not in use. Since the charges for the cluster are many times more than the charges for storage, it makes economic sense to delete clusters when they are not in use. For the instructions of deleting a cluster, see [Manage Apache Hadoop clusters in HDInsight by using the Azure portal](../hdinsight-administer-use-portal-linux.md#delete-clusters).
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After you complete the article, you might want to delete the cluster. With HDInsight, your data is stored in Azure Storage, so you can safely delete a cluster when it isn't in use. You're also charged for a HDInsight cluster, even when it isn't in use. Since the charges for the cluster are many times more than the charges for storage, it makes economic sense to delete clusters when they aren't in use. For the instructions of deleting a cluster, see [Manage Apache Hadoop clusters in HDInsight by using the Azure portal](../hdinsight-administer-use-portal-linux.md#delete-clusters).
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To begin working with your new HBase cluster, you can use the procedures found in [Get started using Apache HBase with Apache Hadoop in HDInsight](./apache-hbase-tutorial-get-started-linux.md).
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> [!IMPORTANT]
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> Replace `CLUSTERNAME` with the name you used when creating the HDInsight cluster in previous steps.
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By using these values, the virtual machine is placed in the same virtual network and subnet as the HDInsight cluster. This configuration allows them to directly communicate with each other. There is a way to create an HDInsight cluster with an empty edge node. The edge node can be used to manage the cluster. For more information, see [Use empty edge nodes in HDInsight](../hdinsight-apps-use-edge-node.md).
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By using these values, the virtual machine is placed in the same virtual network and subnet as the HDInsight cluster. This configuration allows them to directly communicate with each other. There's a way to create a HDInsight cluster with an empty edge node. The edge node can be used to manage the cluster. For more information, see [Use empty edge nodes in HDInsight](../hdinsight-apps-use-edge-node.md).
Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-apps-install-hiveserver2.md
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ms.topic: conceptual
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ms.author: kecheung
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author: kcheeeung
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ms.date: 10/16/2023
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ms.date: 10/17/2024
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---
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# Scale HiveServer2 on Azure HDInsight Clusters for High Availability
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In this article, you've learned how to install HiveServer2 onto your cluster. To learn more about edge nodes and applications, see the following articles:
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*[Install edge node](hdinsight-apps-use-edge-node.md): Learn how to install an edge node onto your HDInsight cluster.
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*[Install HDInsight applications](hdinsight-apps-install-applications.md): Learn how to install an HDInsight application to your clusters.
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*[Install HDInsight applications](hdinsight-apps-install-applications.md): Learn how to install a HDInsight application to your clusters.
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*[Azure SQL DTU Connection Limits](/azure/azure-sql/database/resource-limits-dtu-single-databases): Learn about Azure SQL database limits using DTU.
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*[Azure SQL vCore Connection Limits](/azure/azure-sql/database/resource-limits-vcore-elastic-pools): Learn about Azure SQL database limits using vCores.
| HDInsight: Login Tips Enable | Unchecked | When this option is checked, there is a prompt when logging in to Azure |
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| HDInsight: Sign-in Tips Enable | Unchecked | When this option is checked, there's a prompt when logging in to Azure |
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| HDInsight: Previous Extension Version | Display the version number of the current extension | Show the previous extension version|
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| HDInsight: Results Font Family | -apple-system, BlinkMacSystemFont, Segoe WPC, Segoe UI, HelveticaNeue-Light, Ubuntu, Droid Sans, sans-serif | Set the font family for the results grid; set to blank to use the editor font |
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| HDInsight: Results Font Size | 13 |Set the font size for the results gird; set to blank to use the editor size |
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| HDInsight Cluster: Linked Cluster | -- | Linked clusters urls. Also can edit the JSON file to set |
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| HDInsight Hive: Apply Localization | Unchecked |[Optional] Configuration options for localizing into Visual Studio Code's configured locale (must restart Visual Studio Code for settings to take effect)|
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| HDInsight Hive: Copy Include Headers | Unchecked |[Optional] Configuration option for copying results from the Results View|
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| HDInsight Hive: Copy Includes Headers | Unchecked |[Optional] Configuration option for copying results from the Results Views|
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| HDInsight Hive: Copy Remove New Line | Checked |[Optional] Configuration options for copying multi-line results from the Results View |
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| HDInsight Hive › Format: Align Column Definitions In Columns | Unchecked | Should column definition be aligned |
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| HDInsight Hive › Format: Datatype Casing | none | Should data types be formatted as UPPERCASE, lowercase, or none (not formatted) |
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| HDInsight Hive › Format: Place Select Statement References On New Line | Unchecked | Is reference to objects in a SELECT statement be split into separate lines? For example, for 'SELECT C1, C2 FROM T1' both C1 and C2 is on separate lines
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| HDInsight Hive: Log Debug Info | Unchecked | [Optional] Log debug output to the VS Code console (Help -> Toggle Developer Tools)
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| HDInsight Hive: Messages Default Open | Checked | True for the messages pane to be open by default; false for closed|
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| HDInsight Hive: Results Font Family | -apple-system, BlinkMacSystemFont, Segoe WPC,Segoe UI, HelveticaNeue-Light, Ubuntu, Droid Sans, sans-serif | Set the font family for the results grid; set to blank to use the editor font |
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| HDInsight Hive: Results Font Family | -apple-system, BlinkMacSystemFont, Segoe WPC,Segoe UI, HelveticaNeue-Light, Ubuntu, Droid Sans, sans-serif | Set the font family for the results grid; set to blank to use the editor font |
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| HDInsight Hive: Results Font Size | 13 | Set the font size for the results grid; set to blank to use the editor size |
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| HDInsight Hive › Save as `csv`: Include Headers | Checked |[Optional] When true, column headers are included when saving results as CSV |
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| HDInsight Hive: Shortcuts | -- | Shortcuts related to the results window |
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| HDInsight Jupyter: Append Results| Checked | Whether to append the results to the results window or to clear and display them. |
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| HDInsight Jupyter: Languages | -- | Default settings per language. |
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| HDInsight Jupyter › Log: Verbose | Unchecked | If you enable verbose logging.|
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| HDInsight Jupyter › Log: Verbose | Unchecked | If you enable verbose logging |
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| HDInsight Jupyter › Notebook: Startup Args | Can add item |`jupyter notebook` command-line arguments. Each argument is a separate item in the array. For a full list type `jupyter notebook--help` in a terminal window. |
Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-hadoop-optimize-hive-query.md
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@@ -4,7 +4,7 @@ description: This article describes how to optimize your Apache Hive queries in
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ms.service: azure-hdinsight
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ms.topic: conceptual
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ms.custom: hdinsightactive
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ms.date: 10/17/2024
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# Optimize Apache Hive queries in Azure HDInsight
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## Scale out worker nodes
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Increasing the number of worker nodes in an HDInsight cluster allows the work to use more mappers and reducers to be run in parallel. There are two ways you can increase out scale in HDInsight:
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Increasing the number of worker nodes in a HDInsight cluster allows the work to use more mappers and reducers to be run in parallel. There are two ways you can increase out scale in HDInsight:
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* When you create a cluster, you can specify the number of worker nodes using the Azure portal, Azure PowerShell, or command-line interface. For more information, see [Create HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md). The following screenshot shows the worker node configuration on the Azure portal:
Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-overview-before-you-start.md
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description: In Azure HDInsight, few points to be considered before starting to create a cluster.
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# Consider the below points before starting to create a cluster.
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Microsoft will only support machines that are created by the HDInsight service (for example, HDInsight clusters, edge nodes, and worker nodes). We don't support third-party client machines or moving the HDInsight libraries from a supported machine to an external machine.
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While this third-party integration may work for some time, it is not recommended in production environments because the scenario isn't supported.
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While this third-party integration may work for some time, it isn't recommended in production environments because the scenario isn't supported.
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When you open a support request for an unsupported scenario, you'll be asked to ***reproduce the problem in a supported scenario*** so we can investigate. Any fixes provided would be for the supported scenario only.
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### Supported ways to integrate third party applications
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*[Install HDInsight applications](hdinsight-apps-install-applications.md): Learn how to install an HDInsight application to your clusters.
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*[Install HDInsight applications](hdinsight-apps-install-applications.md): Learn how to install a HDInsight application to your clusters.
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*[Install custom HDInsight applications](hdinsight-apps-install-custom-applications.md): learn how to deploy an unpublished HDInsight application to HDInsight.
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*[Publish HDInsight applications](hdinsight-apps-publish-applications.md): Learn how to publish your custom HDInsight applications to Azure Marketplace.
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