[
https://issues.apache.org/jira/browse/SPARK-17890?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-17890.
----------------------------------
Resolution: Cannot Reproduce
I can't reproduce this by both {{spark-submit}} and {{spark-shell}}.
For {{spark-submit}}, I followed here
https://spark.apache.org/docs/latest/quick-start.html#self-contained-applications
and used the reproducer here:
{code}
import org.apache.spark.SparkConf
import org.apache.spark.sql.SparkSession
object Main extends App{
val conf = new SparkConf()
conf.setMaster("local")
val session = SparkSession.builder()
.config(conf)
.getOrCreate()
import session.implicits._
val df = session.sparkContext.parallelize(List(1,2,3)).toDF
println("flatmapping ...")
df.flatMap(_ => Seq.empty[Foo])
println("mapping...")
df.map(_ => Seq.empty[Foo]) //spark-submit fails here. Things work if I
remove the toDF call
}
case class Foo(value:String)
{code}
> scala.ScalaReflectionException
> ------------------------------
>
> Key: SPARK-17890
> URL: https://issues.apache.org/jira/browse/SPARK-17890
> Project: Spark
> Issue Type: Bug
> Affects Versions: 2.0.1
> Environment: x86_64 GNU/Linux
> Java(TM) SE Runtime Environment (build 1.8.0_60-b27)
> Reporter: Khalid Reid
> Priority: Minor
> Labels: newbie
>
> Hello,
> I am seeing an error message in spark-shell when I map a DataFrame to a
> Seq\[Foo\]. However, things work fine when I use flatMap.
> {noformat}
> scala> case class Foo(value:String)
> defined class Foo
> scala> val df = sc.parallelize(List(1,2,3)).toDF
> df: org.apache.spark.sql.DataFrame = [value: int]
> scala> df.map{x => Seq.empty[Foo]}
> scala.ScalaReflectionException: object $line14.$read not found.
> at scala.reflect.internal.Mirrors$RootsBase.staticModule(Mirrors.scala:162)
> at scala.reflect.internal.Mirrors$RootsBase.staticModule(Mirrors.scala:22)
> at $typecreator1$1.apply(<console>:29)
> at
> scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232)
> at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232)
> at
> org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125)
> at
> scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232)
> at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232)
> at
> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:49)
> at
> org.apache.spark.sql.SQLImplicits.newProductSeqEncoder(SQLImplicits.scala:125)
> ... 48 elided
> scala> df.flatMap{_ => Seq.empty[Foo]} //flatMap works
> res2: org.apache.spark.sql.Dataset[Foo] = [value: string]
> {noformat}
> I am seeing the same error reported
> [here|https://issues.apache.org/jira/browse/SPARK-8465?jql=text%20~%20%22scala.ScalaReflectionException%22]
> when I use spark-submit.
> I am new to Spark but I don't expect this to throw an exception.
> Thanks.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
