You’ll definitely want to use a Kryo-based serializer for Avro. We have a Kryo
based serializer that wraps the Avro efficient serializer here.
Frank Austin Nothaft
fnoth...@berkeley.edu
fnoth...@eecs.berkeley.edu
202-340-0466
On Apr 3, 2015, at 5:41 AM, Akhil Das wrote:
> Because, its throwing
Because, its throwing up serializable exceptions and kryo is a serializer
to serialize your objects.
Thanks
Best Regards
On Fri, Apr 3, 2015 at 5:37 PM, Deepak Jain wrote:
> I meant that I did not have to use kyro. Why will kyro help fix this issue
> now ?
>
> Sent from my iPhone
>
> On 03-Apr-
I meant that I did not have to use kyro. Why will kyro help fix this issue now ?
Sent from my iPhone
> On 03-Apr-2015, at 5:36 pm, Deepak Jain wrote:
>
> I was able to write record that extends specificrecord (avro) this class was
> not auto generated. Do we need to do something extra for auto
I was able to write record that extends specificrecord (avro) this class was
not auto generated. Do we need to do something extra for auto generated classes
Sent from my iPhone
> On 03-Apr-2015, at 5:06 pm, Akhil Das wrote:
>
> This thread might give you some insights
> http://mail-archives.
This thread might give you some insights
http://mail-archives.apache.org/mod_mbox/incubator-spark-user/201311.mbox/%3CCA+WVT8WXbEHac=N0GWxj-s9gqOkgG0VRL5B=ovjwexqm8ev...@mail.gmail.com%3E
Thanks
Best Regards
On Fri, Apr 3, 2015 at 3:53 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) wrote:
> My Spark Job failed with
>
>
> 1
My Spark Job failed with
15/04/03 03:15:36 INFO scheduler.DAGScheduler: Job 0 failed:
saveAsNewAPIHadoopFile at AbstractInputHelper.scala:103, took 2.480175 s
15/04/03 03:15:36 ERROR yarn.ApplicationMaster: User class threw exception:
Job aborted due to stage failure: Task 0.0 in stage 2.0 (TID 0
