Hello Radoslaw, Thank you for the quick reply. Few questions:
1) Do you mean mounting spark artifacts as a volume on each mesos agent node? This means number of volumes = number of mesos agents. 2) Since I am not using HDFS at all, that is definitely not an option for me. Isn't there a way to just launch the spark tasks also as docker containers which are self contained with spark artifacts ? Thanks. On Tue, Mar 15, 2016 at 3:49 PM, Radoslaw Gruchalski <[email protected]> wrote: > Pradeep, > > You can mount a spark directory as a volume. This means you have to have > spark deployed on every agent. > > Another thing you can do, place spark in hdfs, assuming that you have hdfs > available but that too will download a copy to the sandbox. > > I'd prefer the former. > > Sent from Outlook Mobile <https://aka.ms/qtex0l> > > _____________________________ > From: Pradeep Chhetri <[email protected]> > Sent: Tuesday, March 15, 2016 4:41 pm > Subject: Apache Spark Over Mesos > To: <[email protected]> > > > > Hello, > > I am able to run Apache Spark over Mesos. Its quite simple to run Spark > Dispatcher over marathon and ask it to run Spark Executor (I guess also can > be called as Spark Driver) as docker container. > > I have a query regarding this: > > All spark tasks are spawned directly by first downloading the spark > artifacts. I was thinking if there is some way I can start them too as > docker containers. This will save the time for downloading the spark > artifacts. I am running spark in fine-grained mode. > > I have attached a screenshot of a sample job > > > > Thanks, > > -- > Pradeep Chhetri > > > -- Pradeep Chhetri
