On Thu, Feb 19, 2015 at 2:49 PM, John Omernik <j...@omernik.com> wrote:
> I am running Spark on Mesos and it works quite well. I have three > users, all who setup iPython notebooks to instantiate a spark instance > to work with on the notebooks. I love it so far. > > Since I am "auto" instantiating (I don't want a user to have to > "think" about instantiating and submitting a spark app to do adhoc > analysis, I want the environment setup ahead of time) this is done > whenever an iPython notebook is open. So far it's working pretty > good, save one issue: > > Every notebook is a new driver. I.e. every time they open a notebook, > a new spark submit is called, and the driver resources are allocated, > regardless if they are used or not. Yes, it's only the driver, but > even that I find starts slowing down my queries for the notebooks that > using spark. (I am running in Mesos Fined Grained mode). > > > I have three users on my system, ideally, I would love to find a way > so that on the first notebook being opened, a driver is started for > that user, and then can be used for any notebook the user has open. So > if they open a new notebook, I can check that yes, the user has a > spark driver running, and thus, that notebook, if there is a query, > will run it through that driver. That allows me to understand the > resource allocation better, and it limits users from running 10 > notebooks and having a lot of resources. > > The other thing I was wondering is could the driver actually be run on > the mesos cluster? Right now, I have a "edge" node as an iPython > server, the drivers all exist on that server, so as I get more and > more drivers, the box's local resources get depleted with unused > drivers. Obviously if I could reuse the drivers per user, on that > box, that is great first step, but if I could reuse drivers, and run > them on the cluster, that would be ideal. looking through the docs I > was not clear on those options. If anyone could point me in the right > direction, I would greatly appreciate it! > Cluster mode support for Spark is tracked under [SPARK-5338]( https://issues.apache.org/jira/browse/SPARK-5338). I know Tim Chen is working on it, so there will be progress soon. iulian > > John > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > > -- -- Iulian Dragos ------ Reactive Apps on the JVM www.typesafe.com