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From Chris Schneider <ch...@christopher-schneider.com>
Subject Re: Cluster submit mode - only supported on Yarn?
Date Wed, 23 Jul 2014 16:13:02 GMT
Thanks Steve, but my goal is to hopefully avoid installing yet another
component into my environment.  Yarn is cool, but wouldn't be used for
anything but Spark. We have no hadoop in our ecosystem (or HDFS).  Ideally
I'd avoid having to learn about yet another tool.


On Wed, Jul 23, 2014 at 11:12 AM, Steve Nunez <snunez@hortonworks.com>
wrote:

> I’m also in early stages of setting up long running Spark jobs. Easiest
> way I’ve found is to set up a cluster and submit the job via YARN. Then I
> can come back and check in on progress when I need to. Seems the trick is
> tuning the queue priority and YARN preemption to get the job to run in a
> reasonable amount of time without disrupting the other jobs.
>
> - SteveN
>
>
> From: Chris Schneider <chris@christopher-schneider.com>
> Reply-To: <user@spark.apache.org>
> Date: Wednesday, July 23, 2014 at 7:39
> To: <user@spark.apache.org>
> Subject: Cluster submit mode - only supported on Yarn?
>
> We are starting to use Spark, but we don't have any existing
> infrastructure related to big-data, so we decided to setup the standalone
> cluster, rather than mess around with Yarn or Mesos.
>
> But it appears like the driver program has to stay up on the client for
> the full duration of the job ("client mode").
>
> What is the simplest way to setup "cluster" submission mode, to allow our
> client boxes to submit jobs and then move on with the other work they need
> to do without keeping a potentially long running java process up?
>
> Thanks,
> Chris
>
>
>
>
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