Verify the settings and then select Next. The following values are used in this tutorial: Provide relevant values for GroupId, and ArtifactId. This archetype creates the right directory structure and downloads the required default dependencies to write Scala program.Įxpand Artifact Coordinates. Select the Create from archetype checkbox.įrom the list of archetypes, select :scala-archetype-simple. and navigate to the Java installation directory. This example uses Spark 2.3.0 (Scala 2.11.8). If the Spark cluster version is earlier than 2.0, select Spark 1.x. The creation wizard integrates the proper version for Spark SDK and Scala SDK. This field will be blank on your first use of IDEA. In the New Project window, provide the following information: Property SBT for managing the dependencies and building for the Scala project.Maven for Scala project-creation wizard support.Select Spark Project (Scala) from the main window.įrom the Build tool drop-down list, select one of the following values: Select Apache Spark/HDInsight from the left pane. Start IntelliJ IDEA, and select Create New Project to open the New Project window. Select Install for the Scala plugin that is featured in the new window.Īfter the plugin installs successfully, you must restart the IDE. Select Install for Azure Toolkit for IntelliJ. On the welcome screen, navigate to Configure > Plugins to open the Plugins window. See Installing the Azure Toolkit for IntelliJ.ĭo the following steps to install the Scala plugin: This article uses IntelliJ IDEA Community 2018.3.4.Īzure Toolkit for IntelliJ. This tutorial uses Java version 8.0.202.Ī Java IDE. For instructions, see Create Apache Spark clusters in Azure HDInsight.
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