Hello,
I was wondering if somebody is able to help me get to the bottom of a null
pointer exception I'm seeing in my code. I've managed to narrow down a problem
in a larger class to my use of Joda's DateTime functions. I've successfully run
my code in scala, but I've hit a few problems when adapting it to run in spark.
Spark version: 1.3.0
Scala version: 2.10.4
Java HotSpot 1.7
I have a small case class called Transaction, which looks something like this:
case class Transaction(date : org.joda.time.DateTime = new
org.joda.time.DateTime())
I have an RDD[Transactions] trans:
org.apache.spark.rdd.RDD[Transaction] = MapPartitionsRDD[4] at map at
<console>:44
I am able to run this successfully:
val test = trans.map(_.date.minusYears(10))
test.take(1)
However if I do:
val groupedTrans = trans.groupBy(_.account)
//For each group, process transactions in turn:
val test = groupedTrans.flatMap { case (_, transList) =>
transList.map {transaction =>
transaction.date.minusYears(10)
}
}
test.take(1)
I get:
java.lang.NullPointerException
at org.joda.time.DateTime.minusYears(DateTime.java:1268)
Should the second operation not be equivalent to the first .map one? (It's a
long way round of producing my error - but it's extremely similar to what's
happening in my class).
I've got a custom registration class for Kryo which I think is working - before
I added this the original .map did not work - but shouldn't it be able to
serialize all instances of Joda DateTime?
Thank you for any help / pointers you can give me.
Kind Regards,
Alex.
Alex Spencer
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