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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-12816) Schema generation for type aliases does not work
Date Thu, 14 Jan 2016 01:37:40 GMT

    [ https://issues.apache.org/jira/browse/SPARK-12816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15097427#comment-15097427
] 

Apache Spark commented on SPARK-12816:
--------------------------------------

User 'jodersky' has created a pull request for this issue:
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
>
> 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.



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