Also, Spark on Mesos supports cluster mode:
http://spark.apache.org/docs/latest/running-on-mesos.html#cluster-mode

Dean Wampler, Ph.D.
Author: Programming Scala, 2nd Edition
<http://shop.oreilly.com/product/0636920033073.do> (O'Reilly)
Typesafe <http://typesafe.com>
@deanwampler <http://twitter.com/deanwampler>
http://polyglotprogramming.com

On Sun, Aug 9, 2015 at 4:30 AM, Akhil Das <ak...@sigmoidanalytics.com>
wrote:

> Did you try this way?
>
> /usr/local/spark/bin/spark-submit --master mesos://mesos.master:5050
> --conf spark.mesos.executor.docker.image=docker.repo/spark:latest --class
> org.apache.spark.examples.SparkPi *--jars hdfs://hdfs1/tmp/spark-*
> *examples-1.4.1-hadoop2.6.0-**cdh5.4.4.jar* 100
>
> Thanks
> Best Regards
>
> On Fri, Aug 7, 2015 at 5:51 AM, Alan Braithwaite <a...@cloudflare.com>
> wrote:
>
>> Hi All,
>>
>> We're trying to run spark with mesos and docker in client mode (since
>> mesos doesn't support cluster mode) and load the application Jar from
>> HDFS.  The following is the command we're running:
>>
>> /usr/local/spark/bin/spark-submit --master mesos://mesos.master:5050
>> --conf spark.mesos.executor.docker.image=docker.repo/spark:latest --class
>> org.apache.spark.examples.SparkPi
>> hdfs://hdfs1/tmp/spark-examples-1.4.1-hadoop2.6.0-cdh5.4.4.jar 100
>>
>> We're getting the following warning before an exception from that command:
>>
>> Warning: Skip remote jar
>> hdfs://hdfs1/tmp/spark-examples-1.4.1-hadoop2.6.0-cdh5.4.4.jar.
>> java.lang.ClassNotFoundException: org.apache.spark.examples.SparkPi
>>
>> Before I debug further, is this even supported?  I started reading the
>> code and it wasn't clear that it's possible to load a remote jar in client
>> mode at all.  I did see a related issue in [2] but it didn't quite clarify
>> everything I was looking for.
>>
>> Thanks,
>> - Alan
>>
>> [1] https://spark.apache.org/docs/latest/submitting-applications.html
>>
>> [2]
>> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-submit-not-working-when-application-jar-is-in-hdfs-td21840.html
>>
>
>

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