Hi Igor,

did you manage to get Zeppelin up and running on your setup?

In case you still need a hand, please feel free to attach interpreter logs
under /logs dir, and in case of YARN: yarn userlogs are very useful for
debug too.

--
Alex


On Tue, Jun 9, 2015 at 4:47 PM, Igor Mazor <[email protected]>
wrote:

> Hi,
>
> I am trying to use zeppelin with pysprak 1.2.1 on yarn (master =
> yarn-client)
> But nothing happens.
>
> ** I am having hadoop 2.5.1 mapr m5 distribution
>
> this is my setting (taken from the ui):
>
> namevalueargsmasteryarn-clientspark.app.nameZeppelinspark.cores.max
> spark.executor.memory512mspark.home/opt/mapr/spark/spark-1.2.1
> spark.yarn.jar
> /mapr/thesimpsons/var/spark-assembly-1.2.1-hadoop2.5.1-mapr-1501.jar
> zeppelin.dep.localrepolocal-repozeppelin.pyspark.pythonpython2.7
> zeppelin.spark.concurrentSQLfalsezeppelin.spark.maxResult1000
> zeppelin.spark.useHiveContexttrue
>
> when using master=local, it works fine.
>
> Do I have any error on the config? have I forgot to add something?
>
> Also, is Zepplin should not use the spark conf ? if yes what for then the 
> spark.cores.max
> and spark.executor.memory ?
>
> Best,
>
> --
>
> *--------------------------------------------------------------------------*
>
> *Igor **Mazor*
> Senior Data Engineer
>
>
> Rocket Internet SE
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>
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-- 
--
Kind regards,
Alexander.

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