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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/08/19 07:08:46 UTC
[jira] [Resolved] (SPARK-10096)
CreateStruct/CreateArray/CreateNamedStruct broken with UDFs
[ https://issues.apache.org/jira/browse/SPARK-10096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin resolved SPARK-10096.
---------------------------------
Resolution: Fixed
Fix Version/s: 1.5.0
> CreateStruct/CreateArray/CreateNamedStruct broken with UDFs
> -----------------------------------------------------------
>
> Key: SPARK-10096
> URL: https://issues.apache.org/jira/browse/SPARK-10096
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Michael Armbrust
> Assignee: Reynold Xin
> Priority: Blocker
> Fix For: 1.5.0
>
>
> {code}
> val f = udf((a: String) => a)
> val df = sc.parallelize((1,1) :: Nil).toDF("a", "b")
> df.select(struct($"a").as("s")).select(f($"s.a")).collect()
> {code}
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in stage 9.0 failed 4 times, most recent failure: Lost task 3.3 in stage 9.0 (TID 78, 10.0.243.97): java.lang.UnsupportedOperationException
> at org.apache.spark.sql.catalyst.expressions.CreateStructUnsafe.eval(complexTypeCreator.scala:209)
> at org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:247)
> at org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:247)
> at org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:76)
> at org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:74)
> at org.apache.spark.sql.catalyst.expressions.ScalaUDF.eval(ScalaUDF.scala:964)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
> at org.apache.spark.sql.execution.TungstenProject$$anonfun$3$$anonfun$apply$3.apply(basicOperators.scala:90)
> at org.apache.spark.sql.execution.TungstenProject$$anonfun$3$$anonfun$apply$3.apply(basicOperators.scala:88)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:905)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:905)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1826)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1826)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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