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Posted to issues@spark.apache.org by "Saisai Shao (JIRA)" <ji...@apache.org> on 2016/08/01 06:01:20 UTC
[jira] [Commented] (SPARK-16815) Dataset[List[T]] leads to
ArrayStoreException
[ https://issues.apache.org/jira/browse/SPARK-16815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15401566#comment-15401566 ]
Saisai Shao commented on SPARK-16815:
-------------------------------------
From my understanding you can use
{code}
spark.sqlContext.createDataset(sc.parallelize(List(1) :: Nil)).as[Seq[Int]]collect
{code}
to fix this issue.
> Dataset[List[T]] leads to ArrayStoreException
> ---------------------------------------------
>
> Key: SPARK-16815
> URL: https://issues.apache.org/jira/browse/SPARK-16815
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: TobiasP
> Priority: Minor
>
> {noformat}
> scala> spark.sqlContext.createDataset(sc.parallelize(List(1) :: Nil)).collect
> java.lang.ArrayStoreException: scala.collection.mutable.WrappedArray$ofRef
> at scala.collection.mutable.ArrayBuilder$ofRef.$plus$eq(ArrayBuilder.scala:87)
> at scala.collection.mutable.ArrayBuilder$ofRef.$plus$eq(ArrayBuilder.scala:56)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2218)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
> at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2568)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2217)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2222)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2222)
> at org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2581)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2222)
> at org.apache.spark.sql.Dataset.collect(Dataset.scala:2198)
> ... 48 elided
> {noformat}
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