Hi,
Spark version 2.3.3 on Google Dataproc I am trying to use databricks to other databases https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html to read from Hive table on Prem using Spark in Cloud This works OK without a Try enclosure. import spark.implicits._ import scala.util.{Try, Success, Failure} val HiveDF = Try(spark.read. format("jdbc"). option("url", jdbcUrl). option("dbtable", HiveSchema+"."+HiveTable). option("user", HybridServerUserName). option("password", HybridServerPassword). load()) match { case Success(HiveDF) => HiveDF case Failure(e) => throw new Exception("Error Encountered reading Hive table") } However, with Try I am getting the following error <console>:66: error: recursive value HiveDF needs type case Success(HiveDF) => HiveDF Wondering what is causing this. I have used it before (say reading from an XML file) and it worked the, Thanks *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction.
