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Michael Armbrust resolved SPARK-12816. -------------------------------------- Resolution: Fixed Fix Version/s: 2.0.0 Issue resolved by pull request 10749 [https://github.com/apache/spark/pull/10749] > Schema generation for type aliases does not work > ------------------------------------------------ > > Key: SPARK-12816 > URL: https://issues.apache.org/jira/browse/SPARK-12816 > Project: Spark > Issue Type: Bug > Components: Spark Core > Reporter: Jakob Odersky > Fix For: 2.0.0 > > > Related to the second part of SPARK-12777. > Assume the following: > {code} > case class Container[A](a: A) > type IntContainer = Container[Int] > {code} > Generating a schema with > {code}org.apache.spark.sql.catalyst.ScalaReflection.schemaFor[IntContainer]{code} > fails miserably with {{NoSuchElementException: : head of empty list > (ScalaReflection.scala:504)}} (the same exception as described in the related > issues) > Since {{schemaFor}} is called whenever a schema is implicitly needed, > {{Datasets}} cannot be created from certain aliased types. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org