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* The scripts must be applied to both the **Head nodes** and **Worker nodes**.
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## Create a cluster using the script
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1. Start provisioning a cluster by using the steps in [Provision HDInsight clusters on Linux](hdinsight-hadoop-provision-linux-clusters.md), but don't complete provisioning. You can also use Azure PowerShell or the HDInsight .NET SDK to create a cluster using this script. For more information on using these methods, see [Customize HDInsight clusters with Script Actions](hdinsight-hadoop-customize-cluster-linux.md). For the Azure portal, you must select the **Go to classic create experience**option, and then**Custom(size, settings, apps)**.
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1. Start provisioning a cluster by using the steps in [Provision HDInsight clusters on Linux](hdinsight-hadoop-provision-linux-clusters.md), but don't complete provisioning. You can also use Azure PowerShell or the HDInsight .NET SDK to create a cluster using this script. For more information on using these methods, see [Customize HDInsight clusters with Script Actions](hdinsight-hadoop-customize-cluster-linux.md). For the Azure portal, from the **Configuration + pricing**tab, select the**+ Add script action**.
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1. For **Storage**, if the storage account containing the library of jar files will be different than the account used for the cluster, complete **Additional storage accounts**.
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|Node type(s)|Head, Worker|
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|Parameters|Enter the WASB address to the container and storage account that contains the jars. For example, `wasbs://[email protected]/`.|
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> [!NOTE]
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> For Apache Spark 2.1, use this bash script URI: `https://hdiconfigactions.blob.core.windows.net/linuxsetupcustomhivelibsv01/setup-customhivelibs-v00.sh`.
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1. Continue provisioning the cluster as described in [Provision HDInsight clusters on Linux](hdinsight-hadoop-provision-linux-clusters.md).
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Once cluster creation finishes, you're able to use the jars added through this script from Hive without having to use the `ADD JAR` statement.
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Once cluster creation completes, you're able to use the jars added through this script from Hive without having to use the `ADD JAR` statement.
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