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Huaxin Gao edited comment on SPARK-13155 at 2/4/16 11:43 PM: ------------------------------------------------------------- @Wenchen Fan When I tried this yesterday, I also got the cast Exception as Jia. It seems to me that the problem is because in ScalaReflection.schemaFor, java Int has nullable true but scala.Int has nullable false. If I make these two consistent, then the case Exception will go away. Do you know why the nullable values for java Int and Scala Int are different? case t if t <:< typeOf[java.lang.Integer] => Schema(IntegerType, nullable = true) ..... case t if t <:< definitions.IntTpe => Schema(IntegerType, nullable = false) was (Author: huaxing): <a href="https://issues.apache.org/jira/secure/ViewProfile.jspa?name=cloud_fan" class="user-hover" rel="cloud_fan">Wenchen Fan</a> When I tried this yesterday, I also got the cast Exception as Jia. It seems to me that the problem is because in ScalaReflection.schemaFor, java Int has nullable true but scala.Int has nullable false. If I make these two consistent, then the case Exception will go away. Do you know why the nullable values for java Int and Scala Int are different? case t if t <:< typeOf[java.lang.Integer] => Schema(IntegerType, nullable = true) ..... case t if t <:< definitions.IntTpe => Schema(IntegerType, nullable = false) > add runtime null check when convert catalyst array to external array > -------------------------------------------------------------------- > > Key: SPARK-13155 > URL: https://issues.apache.org/jira/browse/SPARK-13155 > Project: Spark > Issue Type: Bug > Components: SQL > Reporter: Wenchen Fan > > {code} > scala> Seq(("a", Seq(null, new Integer(1)))).toDS().as[(String, > Array[Int])].collect() > res5: Array[(String, Array[Int])] = Array((a,Array(0, 1))) > {code} > This is wrong, we should throw exception for this case -- 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