use reflection at a few
locations.
We have now a few approaches in mind:
1. Ask our domain for simple objects without cyclic references
2. Implement our own Encoders
Are we missing something. We appreciate every hint so resolve this.
Kind Regards,
Pascal Stammer
of 6.9 GB virtual memory used. Killing container.
I already change spark.yarn.executor.memoryOverhead but the error still occurs.
Does anybody have a hint for me which parameter or configuration I have to
adapt.
Thank you very much.
Regards,
Pascal Stammer
spark-submit command.
>
> eg. spark-submit executor-memory 2g
>
>
> Regards,
>
> Takashi
>
>> 2017-07-18 5:18 GMT+09:00 Pascal Stammer <stam...@deichbrise.de>:
>>> Hi,
>>>
>>> I am running a Spark 2.1.x Application on
the logging? I appreciate any help!
Regards,
Pascal Stammer
Hi,
I don’t know how this should help. We use maven shade plugin. This behavior
currently happen in local unit tests.
Pascal
> Am 21.08.2017 um 12:58 schrieb 周康 <zhoukang199...@gmail.com>:
>
> Use maven shade plugin may help
>
> 2017-08-21 18:43 GMT+08:00
(DefaultThreadFactory.java:144)
at java.lang.Thread.run(Thread.java:745)
We think that this is caused by incompatible versions of netty. We also have a
transitive dependency in neo4j dependencies. They are using
io.netty:netty-all.4.1.8.Final … Does anybody can provide some help?
Regards,
Pascal Stammer
