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Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-administer-use-command-line.md
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@@ -49,7 +49,7 @@ az hdinsight list --resource-group RESOURCE_GROUP_NAME
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az hdinsight list --resource-group RESOURCE_GROUP_NAME --query "[].{clusterName:name}" --output table
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```
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## Show cluster
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## Show clusters
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Use [az HDInsight show](/cli/azure/hdinsight#az-hdinsight-show) to show information for a specified cluster. Edit the following command by replacing `RESOURCE_GROUP_NAME` and `CLUSTER_NAME` with the relevant information. Then enter the command:
Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-administer-use-dotnet-sdk.md
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The effect of changing the number of data nodes for each type of cluster supported by HDInsight:
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* Apache Hadoop
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You can seamlessly increase the number of worker nodes in a Hadoop cluster that's running without affecting any pending or running jobs. You can also submit new jobs while the operation is in progress. Failures in a scaling operation are gracefully handled so that the cluster is always left in a functional state.
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***Apache Hadoop**: You can seamlessly increase the number of worker nodes in a Hadoop cluster that's running without affecting any pending or running jobs. You can also submit new jobs while the operation is in progress. Failures in a scaling operation are gracefully handled so that the cluster is always left in a functional state.
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When a Hadoop cluster is scaled down by reducing the number of data nodes, some of the services in the cluster are restarted. All running and pending jobs fail at the completion of the scaling operation. After the operation is finished, you can resubmit the jobs.
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* Apache HBase
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You can seamlessly add or remove nodes to your HBase cluster while it's running. Regional servers are automatically balanced within a few minutes of completing the scaling operation. You can also manually balance the regional servers. Sign in to the head node of a cluster and run the following commands from a command prompt window:
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***Apache HBase**: You can seamlessly add or remove nodes to your HBase cluster while it's running. Regional servers are automatically balanced within a few minutes of completing the scaling operation. You can also manually balance the regional servers. Sign in to the head node of a cluster and run the following commands from a command prompt window:
Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-administer-use-portal-linux.md
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:::image type="content" source="./media/hdinsight-administer-use-portal-linux/hdinsight-essentials2.png" alt-text="Screenshot that shows the Azure portal HDInsight cluster essentials.":::
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####Top menu
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### Top menu
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| Item| Description |
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|---|---|
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|Move|Moves the cluster to another resource group or to another subscription.|
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|Delete|Deletes the cluster. |
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|Refresh|Refreshes the view.|
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#### Left menu
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-**Upper-left menu**
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| Item| Description |
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|---|---|
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|Overview|Provide general information for your cluster.|
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|Activity log|Show and query activity logs.|
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|Access control (IAM)|Use role assignments. See [Assign Azure roles to manage access to your Azure subscription resources](../role-based-access-control/role-assignments-portal.yml).|
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|Tags|Set key/value pairs to define a custom taxonomy of your cloud services. For example, you might create a key named **project**, and then use a common value for all services associated with a specific project.|
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|Diagnose and solve problems|Display troubleshooting information.|
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|Quickstart|Display information that helps you get started using HDInsight.|
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|Tools|Help information for HDInsight-related tools.|
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-**Settings menu**
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| Item| Description |
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|---|---|
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|Cluster size|Check, increase, and decrease the number of cluster worker nodes. See [Scale clusters](hdinsight-administer-use-portal-linux.md#scale-clusters).|
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|Quota limits|Display the used and available cores for your subscription.|
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|SSH + Cluster login|Show the instructions to connect to the cluster by using a Secure Shell (SSH) connection. For more information, see [Use SSH with HDInsight](hdinsight-hadoop-linux-use-ssh-unix.md).|
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|Azure Data Lake Storage Gen2|Configure access to Data Lake Storage Gen2. See [Quickstart: Set up clusters in HDInsight](./hdinsight-hadoop-use-data-lake-storage-gen2-portal.md).|
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|Storage accounts|View the storage accounts and the keys. The storage accounts are configured during the cluster creation process.|
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|Applications|Add or remove HDInsight applications. See [Install custom HDInsight applications](hdinsight-apps-install-custom-applications.md).|
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|Script actions|Run Bash scripts on the cluster. See [Customize Linux-based HDInsight clusters using Script Action](hdinsight-hadoop-customize-cluster-linux.md).|
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|External metastores|View the [Apache Hive](https://hive.apache.org/) and [Apache Oozie](https://oozie.apache.org/) metastores. You can configure the metastores only during the cluster creation process.|
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|HDInsight partner|Add or remove the current HDInsight partner.|
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|Properties|View the [cluster properties](#properties).|
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|Locks|Add a lock to prevent the cluster from being modified or deleted.|
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|Export template|Display and export the Azure Resource Manager template for the cluster. Currently, you can export only the dependent Azure Storage account. See [Create Linux-based Apache Hadoop clusters in HDInsight by using Azure Resource Manager templates](hdinsight-hadoop-create-linux-clusters-arm-templates.md).|
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-**Monitoring menu**
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| Item| Description |
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|---|---|
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|Alerts|Manage the alerts and actions.|
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|Metrics|Monitor the cluster metrics in Azure Monitor logs.|
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|Diagnosis settings|Set where to store the diagnosis metrics.|
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|Azure Monitor|Monitor your cluster in Azure Monitor.|
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-**Support + troubleshooting menu**
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| Item| Description |
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|---|---|
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|Resource health|See [Azure resource health overview](/azure/service-health/resource-health-overview).|
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|New support request|Create a support ticket with Microsoft Support.|
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### Left menu
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The left menu has multiple sections.
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#### Upper-left menu
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| Item| Description |
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|---|---|
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|Overview|Provide general information for your cluster.|
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|Activity log|Show and query activity logs.|
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|Access control (IAM)|Use role assignments. See [Assign Azure roles to manage access to your Azure subscription resources](../role-based-access-control/role-assignments-portal.yml).|
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|Tags|Set key/value pairs to define a custom taxonomy of your cloud services. For example, you might create a key named **project**, and then use a common value for all services associated with a specific project.|
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|Diagnose and solve problems|Display troubleshooting information.|
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|Quickstart|Display information that helps you get started using HDInsight.|
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|Tools|Help information for HDInsight-related tools.|
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#### Settings menu
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| Item| Description |
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|---|---|
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|Cluster size|Check, increase, and decrease the number of cluster worker nodes. See [Scale clusters](hdinsight-administer-use-portal-linux.md#scale-clusters).|
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|Quota limits|Display the used and available cores for your subscription.|
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|SSH + Cluster login|Show the instructions to connect to the cluster by using a Secure Shell (SSH) connection. For more information, see [Use SSH with HDInsight](hdinsight-hadoop-linux-use-ssh-unix.md).|
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|Azure Data Lake Storage Gen2|Configure access to Data Lake Storage Gen2. See [Quickstart: Set up clusters in HDInsight](./hdinsight-hadoop-use-data-lake-storage-gen2-portal.md).|
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|Storage accounts|View the storage accounts and the keys. The storage accounts are configured during the cluster creation process.|
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|Applications|Add or remove HDInsight applications. See [Install custom HDInsight applications](hdinsight-apps-install-custom-applications.md).|
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|Script actions|Run Bash scripts on the cluster. See [Customize Linux-based HDInsight clusters using Script Action](hdinsight-hadoop-customize-cluster-linux.md).|
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|External metastores|View the [Apache Hive](https://hive.apache.org/) and [Apache Oozie](https://oozie.apache.org/) metastores. You can configure the metastores only during the cluster creation process.|
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|HDInsight partner|Add or remove the current HDInsight partner.|
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|Properties|View the [cluster properties](#properties).|
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|Locks|Add a lock to prevent the cluster from being modified or deleted.|
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|Export template|Display and export the Azure Resource Manager template for the cluster. Currently, you can export only the dependent Azure Storage account. See [Create Linux-based Apache Hadoop clusters in HDInsight by using Azure Resource Manager templates](hdinsight-hadoop-create-linux-clusters-arm-templates.md).|
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#### Monitoring menu
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| Item| Description |
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|---|---|
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|Alerts|Manage the alerts and actions.|
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|Metrics|Monitor the cluster metrics in Azure Monitor logs.|
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|Diagnosis settings|Set where to store the diagnosis metrics.|
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|Azure Monitor|Monitor your cluster in Azure Monitor.|
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#### Support + troubleshooting menu
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| Item| Description |
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|---|---|
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|Resource health|See [Azure resource health overview](/azure/service-health/resource-health-overview).|
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|New support request|Create a support ticket with Microsoft Support.|
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## <aname="properties"></a> Cluster properties
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1. On the top menu, select **Delete**.
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1. Follow the instructions on the new page.
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For more information, see [Pause or shut down clusters](#pauseshut-down-clusters).
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For more information, see [Pause or shut down clusters](#pause-or-shut-down-clusters).
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## Add more storage accounts
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1. On the **Submit script action** page, enter the information in the following table.
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> [!NOTE]
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> SSH passwords can't contain the following characters:
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>
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> ``` " '` / \ < % ~| $ &!#```
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> SSH passwords can't contain the following characters: " '` / \ < % ~| $ &!#
Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-hadoop-provision-linux-clusters.md
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* Azure Data Lake Storage Gen2
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* Azure Storage General Purpose v2
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**Azure Storage Block blob (*only supported as secondary storage*)
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* Azure Storage Block blob (*only supported as secondary storage*)
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For more information on storage options with HDInsight, see [Compare storage options for use with Azure HDInsight clusters](hdinsight-hadoop-compare-storage-options.md).
Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-sales-insights-etl.md
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1. From **Navigator**, select `sales` or `sales_raw` to preview the data. After the data is loaded, you can experiment with the dashboard that you want to create. To get started with Power BI dashboards, see the following articles:
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* [Introduction to dashboards for Power BI designers](/power-bi/service-dashboards)
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* [Tutorial: Get started with the Power BI service](/power-bi/service-get-started)
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* [Introduction to dashboards for Power BI designers](/power-bi/service-dashboards)
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* [Tutorial: Get started with the Power BI service](/power-bi/service-get-started)
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## Clean up resources
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az ad sp delete --id $SERVICE_PRINCIPAL
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```
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## Related content
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## Next step
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> [!div class="nextstepaction"]
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> [Extract, transform, and load at scale](./hadoop/apache-hadoop-etl-at-scale.md)
Copy file name to clipboardExpand all lines: articles/hdinsight/manage-clusters-runbooks.md
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When your resource is no longer needed, delete the Automation account that you created to avoid unintended charges. Go to the Azure portal, select the resource group where you created the Automation account, select the Automation account, and then select **Delete**.
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## Related content
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## Next step
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> [!div class="nextstepaction"]
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> [Manage Apache Hadoop clusters in HDInsight by using Azure PowerShell](hdinsight-administer-use-powershell.md)
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