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Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-hadoop-create-linux-clusters-dotnet-sdk.md
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title: Create Apache Hadoop clusters using .NET - Azure HDInsight
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description: Learn how to create Apache Hadoop, Apache HBase, Apache Storm, or Apache Spark clusters on Linux for HDInsight using the HDInsight .NET SDK.
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author: hrasheed-msft
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ms.author: hrasheed
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ms.reviewer: jasonh
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ms.service: hdinsight
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ms.custom: hdinsightactive
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ms.topic: conceptual
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ms.date: 08/16/2018
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ms.author: hrasheed
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ms.custom: hdinsightactive
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ms.date: 01/01/2020
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---
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# Create Linux-based clusters in HDInsight using the .NET SDK
Learn how to create an [Apache Hadoop](https://hadoop.apache.org/) cluster in Azure HDInsight cluster using the .NET SDK.
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> [!IMPORTANT]
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> The steps in this document create a cluster with one worker node. If you plan on more than 32 worker nodes, either at cluster creation or by scaling the cluster after creation, you need to select a head node size with at least 8 cores and 14GB ram.
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>
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> For more information on node sizes and associated costs, see [HDInsight pricing](https://azure.microsoft.com/pricing/details/hdinsight/).
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```
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These commands add .NET libraries and references to them to the current Visual Studio project.
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5. From Solution Explorer, double-click **Program.cs** to open it, paste the following code, and provide values for the variables:
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1. From Solution Explorer, double-click **Program.cs** to open it, paste the following code, and provide values for the variables:
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```csharp
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using System;
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}
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```
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6. Replace the class member values.
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7. Press **F5** to run the application. A console window should open and display the status of the application. You are prompted to enter your Azure account credentials. It can take several minutes to create an HDInsight cluster, normally around 15.
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1. Replace the class member values.
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1. Press **F5** to run the application. A console window should open and display the status of the application. You are prompted to enter your Azure account credentials. It can take several minutes to create an HDInsight cluster, normally around 15.
If you run into issues with creating HDInsight clusters, see [access control requirements](hdinsight-hadoop-create-linux-clusters-portal.md).
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If you run into issues with creating HDInsight clusters, see [access control requirements](./hdinsight-hadoop-customize-cluster-linux.md#access-control).
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## Next steps
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Now that you have successfully created an HDInsight cluster, use the following to learn how to work with your cluster.
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Now that you have successfully created an HDInsight cluster, use the following to learn how to work with your cluster.
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### Apache Hadoop clusters
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*[Use Apache Hive with HDInsight](hadoop/hdinsight-use-hive.md)
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*[Use Apache Pig with HDInsight](hadoop/hdinsight-use-pig.md)
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*[Use MapReduce with HDInsight](hadoop/hdinsight-use-mapreduce.md)
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### Apache HBase clusters
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### Run jobs
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*[Run Apache Hive jobs in HDInsight using .NET SDK](hadoop/apache-hadoop-use-hive-dotnet-sdk.md)
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*[Run Apache Sqoop jobs in HDInsight using .NET SDK](hadoop/apache-hadoop-use-sqoop-dotnet-sdk.md)
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*[Run Apache Oozie jobs in HDInsight](hdinsight-use-oozie-linux-mac.md)
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*[Run Apache Oozie jobs in HDInsight](hdinsight-use-oozie-linux-mac.md)
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