My experience with Mesos + Spark is not great. I saw one executor with 30 CPU and the other executor with 6. So I don't think you can easily configure it without some tweaking at the source code.
Sent from my iPad On 2015-08-11, at 2:38, Haripriya Ayyalasomayajula <aharipriy...@gmail.com> wrote: > Hi Tim, > > Spark on Yarn allows us to do it using --num-executors and --executor_cores > commandline arguments. I just got a chance to look at a similar spark user > list mail, but no answer yet. So does mesos allow setting the number of > executors and cores? Is there a default number it assumes? > > On Mon, Jan 5, 2015 at 5:07 PM, Tim Chen <t...@mesosphere.io> wrote: > Forgot to hit reply-all. > > ---------- Forwarded message ---------- > From: Tim Chen <t...@mesosphere.io> > Date: Sun, Jan 4, 2015 at 10:46 PM > Subject: Re: Controlling number of executors on Mesos vs YARN > To: mvle <m...@us.ibm.com> > > > Hi Mike, > > You're correct there is no such setting in for Mesos coarse grain mode, since > the assumption is that each node is launched with one container and Spark is > launching multiple tasks in that container. > > In fine-grain mode there isn't a setting like that, as it currently will > launch an executor as long as it satisfies the minimum container resource > requirement. > > I've created a JIRA earlier about capping the number of executors or better > distribute the # of executors launched in each node. Since the decision of > choosing what node to launch containers is all in the Spark scheduler side, > it's very easy to modify it. > > Btw, what's the configuration to set the # of executors on YARN side? > > Thanks, > > Tim > > > > On Sun, Jan 4, 2015 at 9:37 PM, mvle <m...@us.ibm.com> wrote: > I'm trying to compare the performance of Spark running on Mesos vs YARN. > However, I am having problems being able to configure the Spark workload to > run in a similar way on Mesos and YARN. > > When running Spark on YARN, you can specify the number of executors per > node. So if I have a node with 4 CPUs, I can specify 6 executors on that > node. When running Spark on Mesos, there doesn't seem to be an equivalent > way to specify this. In Mesos, you can somewhat force this by specifying the > number of CPU resources to be 6 when running the slave daemon. However, this > seems to be a static configuration of the Mesos cluster rather something > that can be configured in the Spark framework. > > So here is my question: > > For Spark on Mesos, am I correct that there is no way to control the number > of executors per node (assuming an idle cluster)? For Spark on Mesos > coarse-grained mode, there is a way to specify max_cores but that is still > not equivalent to specifying the number of executors per node as when Spark > is run on YARN. > > If I am correct, then it seems Spark might be at a disadvantage running on > Mesos compared to YARN (since it lacks the fine tuning ability provided by > YARN). > > Thanks, > Mike > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Controlling-number-of-executors-on-Mesos-vs-YARN-tp20966.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > > > > > > > -- > Regards, > Haripriya Ayyalasomayajula >
