In the New Project window, do the following steps:ī. Follow the instructions to restart IntelliJ. To download the Scala plug-in, select OK. The Scala project-creation wizard automatically detects whether you've installed the Scala plug-in. SBT, for managing the dependencies and building for the Scala project.Maven, for Scala project-creation wizard support.In the Build tool list, select either of the following, according to your need: Select Azure Spark/HDInsight > Spark Project with Samples (Scala).ī. In the New Project dialog box, follow below steps:Ī. Start IntelliJ IDEA, and then create a project. You could monitor spark job by opening the spark history UI and Yarn UI, you could also unlink, by right-clicking on the cluster.Ĭreate a Spark Scala application from Spark template The linked cluster lists under SQL Server big data cluster. You can manage the certificate later, see Server Certificates. When the untrusted server's certificate dialog appears, click Accept. Enter the Server, User Name, and Password, then click OK. Right-click on SQL Server big data cluster, select Link SQL Server big data cluster. Open Azure Explorer from View menu, select Tool Windows, and then select Azure Explorer. If you are using self-signed certificate, disable TLS/SSL certificate validation from Tools menu, select Azure, Validate Spark Cluster SSL Certificate, then Disable. For installation instructions, see Install Azure Toolkit for IntelliJ. You can install it from the JetBrains website. It also enables you to execute a Jar or Py files, which are already located in the HDFS file system. The Spark job submission feature allows you to submit a local Jar or Py files with references to SQL Server Big Data Clusters. One of the key scenarios for SQL Server Big Data Clusters is the ability to submit Spark jobs. For more information, see the announcement blog post and Big data options on the Microsoft SQL Server platform. All existing users of SQL Server 2019 with Software Assurance will be fully supported on the platform and the software will continue to be maintained through SQL Server cumulative updates until that time. Support for SQL Server 2019 Big Data Clusters will end on February 28, 2025. The Microsoft SQL Server 2019 Big Data Clusters add-on will be retired.
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