Try removing the "extends App" and write a "main(args: Array[String])"
method instead. I think that App affects the serialization (there might be
some threads about this on the old mailing list).
On Wed, Jan 29, 2014 at 2:54 PM, 尹绪森 <yinxu...@gmail.com> wrote:
> Could you give some more details? e.g. the context of your code and the
> exception stack trace.
>
> Your code seems weired, do you have already new a SparkContext ? REPL will
> add some necessary components while application would not.
> 2014-1-30 AM4:35于 "Michael Diamant" <diamant.mich...@gmail.com>写道：
>
> My team recently began writing Spark jobs to be deployed to a Spark
>> cluster in the form of a jar. Previously, my team interacted with Spark
>> via the REPL. The job in question works within the REPL, but fails when
>> executed non-interactively (i.e. packaged as a jar).
>>
>> The job code looks similar to:
>> // imports
>> object Runner extends App {
>> val end = new DateTime()
>> // additional setup
>> someRdd.filter(f => end.isAfter(f.date)
>> }
>>
>> The point of this example is that a value, end, is defined local to the
>> driver. Later in the program's execution, the locally defined value, end,
>> is referenced in the filter predicate of an RDD. When running
>> non-interactively, a NPE occurs when 'end' is referenced in the filter
>> predicate. However, running the exact same code via the REPL executes
>> successfully.
>>
>> Spark environment details are:
>> Spark version: v0.9 using commit SHA
>> e2ebc3a9d8bca83bf842b134f2f056c1af0ad2be
>> Scala version: v2.9.3
>>
>> I appreciate any help in identifying bugs/mistakes made.
>>
>> Thank you,
>> Michael
>>
>
