you may try foreachPartition
On Fri, Sep 1, 2017 at 10:54 PM, asethia <sethia.a...@gmail.com> wrote:
> Hi,
>
> I have list of person records in following format:
>
> case class Person(fName:String, city:String)
>
> val l=List(Person("A","City1"),Person("B","City2"),Person("C","City1"))
>
> val rdd:RDD[Person]=sc.parallelize(l)
>
> val groupBy:RDD[(String, Iterable[Person])]=rdd.groupBy(_.city)
>
> I would like to save these group by records in different files (for example
> by city). Please can some one help me here.
>
> I tried this but not able to create those files
>
> groupBy.foreach(x=>{
> x._2.toList.toDF().rdd.saveAsObjectFile(s"file:///tmp/files/${x._1}")
> })
>
> Thanks
> Arun
>
>
>
> --
> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>
>
