[
https://issues.apache.org/jira/browse/SPARK-11795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-11795:
------------------------------------
Assignee: (was: Apache Spark)
> org.apache.spark.sql.AnalysisException: Can't extract value from a#12
> ---------------------------------------------------------------------
>
> Key: SPARK-11795
> URL: https://issues.apache.org/jira/browse/SPARK-11795
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
> Priority: Critical
>
> See test case in DatasetSuite
> {code}
> ignore("Dataset should set the resolved encoders internally for maps") {
> val ds: Dataset[(ClassData, Long)] = Seq(ClassData("one", 1),
> ClassData("two", 2)).toDS()
> .map(c => ClassData(c.a, c.b + 1))
> .groupBy(p => p).count()
> checkAnswer(
> ds,
> (ClassData("one", 1), 1L), (ClassData("two", 2), 1L))
> }
> {code}
> Exception shows:
> {code}
> [info] - Dataset should set the resolved encoders internally for maps ***
> FAILED *** (2 seconds, 267 milliseconds)
> [info] org.apache.spark.sql.AnalysisException: Can't extract value from
> a#12;
> [info] at
> org.apache.spark.sql.catalyst.expressions.ExtractValue$.apply(complexTypeExtractors.scala:73)
> [info] at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$4.applyOrElse(Analyzer.scala:471)
> [info] at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$4.applyOrElse(Analyzer.scala:463)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:294)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:294)
> [info] at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:293)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:291)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:291)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:250)
> [info] at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> [info] at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> [info] at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> [info] at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> [info] at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> [info] at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> [info] at
> scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> [info] at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> [info] at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> [info] at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> [info] at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> [info] at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:280)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:291)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:291)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:291)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4$$anonfun$apply$7.apply(TreeNode.scala:269)
> [info] at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> [info] at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> [info] at scala.collection.immutable.List.foreach(List.scala:318)
> [info] at
> scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> [info] at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> [info] at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:267)
> {code}
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