Sure, could you point me to the example? The only thing I could find was https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/LogQuery.scala
So do you mean running it like: MASTER="mesos://xxxxxxx*:5050*" ./run-example LogQuery I tried that and I can see the job run and the tasks complete on the slave nodes, but the client process seems to hang forever, it's probably a different problem. BTW, only a dozen or so tasks kick off. I actually haven't done much with Scala and Spark (it's been all python). Fi Fairiz "Fi" Azizi On Tue, Oct 7, 2014 at 6:29 AM, RJ Nowling <rnowl...@gmail.com> wrote: > I was able to reproduce it on a small 4 node cluster (1 mesos master and 3 > mesos slaves) with relatively low-end specs. As I said, I just ran the log > query examples with the fine-grained mesos mode. > > Spark 1.1.0 and mesos 0.20.1. > > Fairiz, could you try running the logquery example included with Spark and > see what you get? > > Thanks! > > On Mon, Oct 6, 2014 at 8:07 PM, Fairiz Azizi <code...@gmail.com> wrote: > >> That's what great about Spark, the community is so active! :) >> >> I compiled Mesos 0.20.1 from the source tarball. >> >> Using the Mapr3 Spark 1.1.0 distribution from the Spark downloads page >> (spark-1.1.0-bin-mapr3.tgz). >> >> I see no problems for the workloads we are trying. >> >> However, the cluster is small (less than 100 cores across 3 nodes). >> >> The workloads reads in just a few gigabytes from HDFS, via an ipython >> notebook spark shell. >> >> thanks, >> Fi >> >> >> >> Fairiz "Fi" Azizi >> >> On Mon, Oct 6, 2014 at 9:20 AM, Timothy Chen <tnac...@gmail.com> wrote: >> >>> Ok I created SPARK-3817 to track this, will try to repro it as well. >>> >>> Tim >>> >>> On Mon, Oct 6, 2014 at 6:08 AM, RJ Nowling <rnowl...@gmail.com> wrote: >>> > I've recently run into this issue as well. I get it from running Spark >>> > examples such as log query. Maybe that'll help reproduce the issue. >>> > >>> > >>> > On Monday, October 6, 2014, Gurvinder Singh < >>> gurvinder.si...@uninett.no> >>> > wrote: >>> >> >>> >> The issue does not occur if the task at hand has small number of map >>> >> tasks. I have a task which has 978 map tasks and I see this error as >>> >> >>> >> 14/10/06 09:34:40 ERROR BlockManagerMasterActor: Got two different >>> block >>> >> manager registrations on 20140711-081617-711206558-5050-2543-5 >>> >> >>> >> Here is the log from the mesos-slave where this container was running. >>> >> >>> >> http://pastebin.com/Q1Cuzm6Q >>> >> >>> >> If you look for the code from where error produced by spark, you will >>> >> see that it simply exit and saying in comments "this should never >>> >> happen, lets just quit" :-) >>> >> >>> >> - Gurvinder >>> >> On 10/06/2014 09:30 AM, Timothy Chen wrote: >>> >> > (Hit enter too soon...) >>> >> > >>> >> > What is your setup and steps to repro this? >>> >> > >>> >> > Tim >>> >> > >>> >> > On Mon, Oct 6, 2014 at 12:30 AM, Timothy Chen <tnac...@gmail.com> >>> wrote: >>> >> >> Hi Gurvinder, >>> >> >> >>> >> >> I tried fine grain mode before and didn't get into that problem. >>> >> >> >>> >> >> >>> >> >> On Sun, Oct 5, 2014 at 11:44 PM, Gurvinder Singh >>> >> >> <gurvinder.si...@uninett.no> wrote: >>> >> >>> On 10/06/2014 08:19 AM, Fairiz Azizi wrote: >>> >> >>>> The Spark online docs indicate that Spark is compatible with >>> Mesos >>> >> >>>> 0.18.1 >>> >> >>>> >>> >> >>>> I've gotten it to work just fine on 0.18.1 and 0.18.2 >>> >> >>>> >>> >> >>>> Has anyone tried Spark on a newer version of Mesos, i.e. Mesos >>> >> >>>> v0.20.0? >>> >> >>>> >>> >> >>>> -Fi >>> >> >>>> >>> >> >>> Yeah we are using Spark 1.1.0 with Mesos 0.20.1. It runs fine in >>> >> >>> coarse >>> >> >>> mode, in fine grain mode there is an issue with blockmanager names >>> >> >>> conflict. I have been waiting for it to be fixed but it is still >>> >> >>> there. >>> >> >>> >>> >> >>> -Gurvinder >>> >> >>> >>> >> >>> >>> --------------------------------------------------------------------- >>> >> >>> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >>> >> >>> For additional commands, e-mail: dev-h...@spark.apache.org >>> >> >>> >>> >> >>> >> >>> >> --------------------------------------------------------------------- >>> >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >>> >> For additional commands, e-mail: dev-h...@spark.apache.org >>> >> >>> > >>> > >>> > -- >>> > em rnowl...@gmail.com >>> > c 954.496.2314 >>> >> >> > > > -- > em rnowl...@gmail.com > c 954.496.2314 >
