[jira] [Updated] (SPARK-18189) task not serializable with groupByKey() + mapGroups() + map

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin updated SPARK-18189:
--------------------------------
    Description: 
just run the following code 

{code}
val a = spark.createDataFrame(sc.parallelize(Seq((1,2),(3,4)))).as[(Int,Int)]
val grouped = a.groupByKey({x:(Int,Int)=>x._1})
val mappedGroups = grouped.mapGroups((k,x)=>{(k,1)})
val yyy = sc.broadcast(1)
val last = mappedGroups.rdd.map(xx=>{
  val simpley = yyy.value
  
  1
})

{code}



spark says Task not serializable





  was:
just run the following code 

val a = spark.createDataFrame(sc.parallelize(Seq((1,2),(3,4)))).as[(Int,Int)]
val grouped = a.groupByKey({x:(Int,Int)=>x._1})
val mappedGroups = grouped.mapGroups((k,x)=>{(k,1)})
val yyy = sc.broadcast(1)
val last = mappedGroups.rdd.map(xx=>{
  val simpley = yyy.value
  
  1
})




spark says Task not serializable






> task not serializable with groupByKey() + mapGroups() + map
> -----------------------------------------------------------
>
>                 Key: SPARK-18189
>                 URL: https://issues.apache.org/jira/browse/SPARK-18189
>             Project: Spark
>          Issue Type: Bug
>            Reporter: Yang Yang
>
> just run the following code 
> {code}
> val a = spark.createDataFrame(sc.parallelize(Seq((1,2),(3,4)))).as[(Int,Int)]
> val grouped = a.groupByKey({x:(Int,Int)=>x._1})
> val mappedGroups = grouped.mapGroups((k,x)=>{(k,1)})
> val yyy = sc.broadcast(1)
> val last = mappedGroups.rdd.map(xx=>{
>   val simpley = yyy.value
>   
>   1
> })
> {code}
> spark says Task not serializable



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