Re: executor delay in Spark

2016-04-27 Thread Mike Hynes
st to check their skew. > > @Jeff, setting minRegisteredResourcesRatio did not help. Behavior was same > as before. > > Thank you for your time. > > Regards, > Raghava. > > > On Sun, Apr 24, 2016 at 7:17 PM, Mike Hynes <91m...@gmail.com> wrote: > >> Could you change

Re: executor delay in Spark

2016-04-24 Thread Mike Hynes
provement in > runtime when the partitioning is even (happens when count is moved). > > Any pointers in figuring out this issue is much appreciated. > > Regards, > Raghava. > > > > > On Fri, Apr 22, 2016 at 7:40 PM, Mike Hynes <91m...@gmail.com> wrote: > >

Re: executor delay in Spark

2016-04-22 Thread Mike Hynes
h spark-submit) at a > later stage also. > > Apart from introducing a dummy stage or running it from spark-shell, is > there any other option to fix this? > > Regards, > Raghava. > > > On Mon, Apr 18, 2016 at 12:17 AM, Mike Hynes <91m...@gmail.com> wrote: > >

Re: strange HashPartitioner behavior in Spark

2016-04-17 Thread Mike Hynes
durations less than the initial executor delay. I recommend you look at your logs to verify if this is happening to you. Mike On 4/18/16, Anuj Kumar <anujs...@gmail.com> wrote: > Good point Mike +1 > > On Mon, Apr 18, 2016 at 9:47 AM, Mike Hynes <91m...@gmail.com> wrote: >

Re: strange HashPartitioner behavior in Spark

2016-04-17 Thread Mike Hynes
When submitting a job with spark-submit, I've observed delays (up to 1--2 seconds) for the executors to respond to the driver in order to receive tasks in the first stage. The delay does not persist once the executors have been synchronized. When the tasks are very short, as may be your case

Re: RDD Partitions not distributed evenly to executors

2016-04-06 Thread Mike Hynes
s, > -Khaled > > > > > On Mon, Apr 4, 2016 at 10:57 PM, Koert Kuipers <ko...@tresata.com> wrote: > >> can you try: >> spark.shuffle.reduceLocality.enabled=false >> >> On Mon, Apr 4, 2016 at 8:17 PM, Mike Hynes <91m...@gmail.com> wrote: >>

Re: RDD Partitions not distributed evenly to executors

2016-04-04 Thread Mike Hynes
f anyone else has any other ideas or experience, please let me know. Mike On 4/4/16, Koert Kuipers <ko...@tresata.com> wrote: > we ran into similar issues and it seems related to the new memory > management. can you try: > spark.memory.useLegacyMode = true > > On Mo

RDD Partitions not distributed evenly to executors

2016-04-04 Thread Mike Hynes
[ CC'ing dev list since nearly identical questions have occurred in user list recently w/o resolution; c.f.: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-work-distribution-among-execs-tt26502.html