[jira] [Issue Comment Deleted] (SPARK-13456) Cannot create encoders for case classes defined in Spark shell after upgrading to Scala 2.11

2016-04-04 Thread Wenchen Fan (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-13456?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan updated SPARK-13456:

Comment: was deleted

(was: This may be related to https://issues.apache.org/jira/browse/SPARK-13611 
, that the imported type somehow doesn't match the real one. Anyway, I think 
it's a different issue from what this JIRA reported, [~jlaskowski] do you mind 
creating a new ticket for it?)

> Cannot create encoders for case classes defined in Spark shell after 
> upgrading to Scala 2.11
> 
>
> Key: SPARK-13456
> URL: https://issues.apache.org/jira/browse/SPARK-13456
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.0.0
>Reporter: Cheng Lian
>Assignee: Wenchen Fan
>Priority: Blocker
> Fix For: 2.0.0
>
>
> Spark 2.0 started to use Scala 2.11 by default since [PR 
> #10608|https://github.com/apache/spark/pull/10608].  Unfortunately, after 
> this upgrade, Spark fails to create encoders for case classes defined in REPL:
> {code}
> import sqlContext.implicits._
> case class T(a: Int, b: Double)
> val ds = Seq(1 -> T(1, 1D), 2 -> T(2, 2D)).toDS()
> {code}
> Exception thrown:
> {noformat}
> org.apache.spark.sql.AnalysisException: Unable to generate an encoder for 
> inner class `T` without access to the scope that this class was defined in.
> Try moving this class out of its parent class.;
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$resolveDeserializer$1.applyOrElse(Analyzer.scala:565)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$resolveDeserializer$1.applyOrElse(Analyzer.scala:561)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:262)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:262)
>   at 
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:261)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:304)
>   at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
>   at scala.collection.Iterator$class.foreach(Iterator.scala:742)
>   at scala.collection.AbstractIterator.foreach(Iterator.scala:1194)
>   at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
>   at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:308)
>   at scala.collection.AbstractIterator.to(Iterator.scala:1194)
>   at 
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300)
>   at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194)
>   at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287)
>   at scala.collection.AbstractIterator.toArray(Iterator.scala:1194)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:353)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5$$anonfun$apply$11.apply(TreeNode.scala:333)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
>   at scala.collection.immutable.List.foreach(List.scala:381)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
>   at scala.collection.immutable.List.map(List.scala:285)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:331)
>   at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
>   at scala.collection.Iterator$class.foreach(Iterator.scala:742)
>   at scala.collection.AbstractIterator.foreach(Iterator.scala:1194)
>   at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
>   at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:308)
>   at

[jira] [Issue Comment Deleted] (SPARK-13456) Cannot create encoders for case classes defined in Spark shell after upgrading to Scala 2.11

2016-04-03 Thread Jacek Laskowski (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-13456?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Jacek Laskowski updated SPARK-13456:

Comment: was deleted

(was: It works now. Thanks a lot!)

> Cannot create encoders for case classes defined in Spark shell after 
> upgrading to Scala 2.11
> 
>
> Key: SPARK-13456
> URL: https://issues.apache.org/jira/browse/SPARK-13456
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.0.0
>Reporter: Cheng Lian
>Assignee: Wenchen Fan
>Priority: Blocker
> Fix For: 2.0.0
>
>
> Spark 2.0 started to use Scala 2.11 by default since [PR 
> #10608|https://github.com/apache/spark/pull/10608].  Unfortunately, after 
> this upgrade, Spark fails to create encoders for case classes defined in REPL:
> {code}
> import sqlContext.implicits._
> case class T(a: Int, b: Double)
> val ds = Seq(1 -> T(1, 1D), 2 -> T(2, 2D)).toDS()
> {code}
> Exception thrown:
> {noformat}
> org.apache.spark.sql.AnalysisException: Unable to generate an encoder for 
> inner class `T` without access to the scope that this class was defined in.
> Try moving this class out of its parent class.;
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$resolveDeserializer$1.applyOrElse(Analyzer.scala:565)
>   at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$resolveDeserializer$1.applyOrElse(Analyzer.scala:561)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:262)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:262)
>   at 
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:261)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:304)
>   at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
>   at scala.collection.Iterator$class.foreach(Iterator.scala:742)
>   at scala.collection.AbstractIterator.foreach(Iterator.scala:1194)
>   at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
>   at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:308)
>   at scala.collection.AbstractIterator.to(Iterator.scala:1194)
>   at 
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300)
>   at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194)
>   at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287)
>   at scala.collection.AbstractIterator.toArray(Iterator.scala:1194)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:353)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:267)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5$$anonfun$apply$11.apply(TreeNode.scala:333)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
>   at scala.collection.immutable.List.foreach(List.scala:381)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
>   at scala.collection.immutable.List.map(List.scala:285)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:331)
>   at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
>   at scala.collection.Iterator$class.foreach(Iterator.scala:742)
>   at scala.collection.AbstractIterator.foreach(Iterator.scala:1194)
>   at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
>   at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:308)
>   at scala.collection.AbstractIterator.to(Iterator.scala:1194)
>   at 
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300)
>   at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194)
>   at