There is no difference between running the client in or out of the client (assuming there is no firewall or network connectivity issue), as long as you have hadoop configuration locally. Here is the doc for running on yarn.
http://spark.apache.org/docs/latest/running-on-yarn.html Thanks. Zhan Zhang On Sep 22, 2015, at 7:49 PM, Zhiliang Zhu <zchl.j...@yahoo.com<mailto:zchl.j...@yahoo.com>> wrote: Hi Zhan, Thanks very much for your help comment. I also view it would be similar to hadoop job submit, however, I was not deciding whether it is like that when it comes to spark. Have you ever tried that for spark... Would you give me the deployment doc for hadoop and spark gateway, since this is the first time for me to do that, I do not find the specific doc for it. Best Regards, Zhiliang On Wednesday, September 23, 2015 10:20 AM, Zhan Zhang <zzh...@hortonworks.com<mailto:zzh...@hortonworks.com>> wrote: It should be similar to other hadoop jobs. You need hadoop configuration in your client machine, and point the HADOOP_CONF_DIR in spark to the configuration. Thanks Zhan Zhang On Sep 22, 2015, at 6:37 PM, Zhiliang Zhu <zchl.j...@yahoo.com.INVALID<mailto:zchl.j...@yahoo.com.INVALID>> wrote: Dear Experts, Spark job is running on the cluster by yarn. Since the job can be submited at the place on the machine from the cluster, however, I would like to submit the job from another machine which does not belong to the cluster. I know for this, hadoop job could be done by way of another machine which is installed hadoop gateway which is used to connect the cluster. Then what would go for spark, is it same as hadoop... And where is the instruction doc for installing this gateway... Thank you very much~~ Zhiliang
