*I am facing similar issue to Spark-3447 with spark streaming Api, Kryo
Serializer, Avro messages.
If avro message is simple, its fine. but if the avro message has
Union/Arrays its failing with the exception Below:*
ERROR scheduler.JobScheduler: Error running job streaming job 1411043845000
ms.0
or
Added some more info on this issue in the tracker Spark-3447
https://issues.apache.org/jira/browse/SPARK-3447
-
Thanks & Regards,
Mohan
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Hi frank, thanks for the info, thats great. but im not saying Avro serializer
is failing. Kryo is failing
but
im using kryo serializer. and registering Avro generated classes with kryo.
sparkConf.set("spark.serializer",
"org.apache.spark.serializer.KryoSerializer");
sparkConf.set("spark.kr
Thanks for the info frank.
so your suggestion could be to use Avro serializer.
i just have to configure it like Kryo for the same property? and is there
any registering process for this or just specify serializer?
Also does it effect performance. what measures to be taken to avoid.
(im using kryo
Thanks for the info frank.
Twitter's-chill avro serializer looks great.
But how does spark identifies it as serializer, as its not extending from
KryoSerializer.
(sorry scala is an alien lang for me).
-
Thanks & Regards,
Mohan
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