I am thinking of any possibilities as to why this could be happening. If the cores are multi-threaded, should that affect the daemons? Your spark was built from source code or downloaded as a binary, though that should not technically change anything?
On Mon, Jul 4, 2016 at 9:03 PM, Mathieu Longtin <math...@closetwork.org> wrote: > 1.6.1. > > I have no idea. SPARK_WORKER_CORES should do the same. > > On Mon, Jul 4, 2016 at 11:24 AM Ashwin Raaghav <ashraag...@gmail.com> > wrote: > >> Which version of Spark are you using? 1.6.1? >> >> Any ideas as to why it is not working in ours? >> >> On Mon, Jul 4, 2016 at 8:51 PM, Mathieu Longtin <math...@closetwork.org> >> wrote: >> >>> 16. >>> >>> On Mon, Jul 4, 2016 at 11:16 AM Ashwin Raaghav <ashraag...@gmail.com> >>> wrote: >>> >>>> Hi, >>>> >>>> I tried what you suggested and started the slave using the following >>>> command: >>>> >>>> start-slave.sh --cores 1 <master> >>>> >>>> But it still seems to start as many pyspark daemons as the number of >>>> cores in the node (1 parent and 3 workers). Limiting it via spark-env.sh >>>> file by giving SPARK_WORKER_CORES=1 also didn't help. >>>> >>>> When you said it helped you and limited it to 2 processes in your >>>> cluster, how many cores did each machine have? >>>> >>>> On Mon, Jul 4, 2016 at 8:22 PM, Mathieu Longtin <math...@closetwork.org >>>> > wrote: >>>> >>>>> It depends on what you want to do: >>>>> >>>>> If, on any given server, you don't want Spark to use more than one >>>>> core, use this to start the workers: SPARK_HOME/sbin/start-slave.sh >>>>> --cores=1 >>>>> >>>>> If you have a bunch of servers dedicated to Spark, but you don't want >>>>> a driver to use more than one core per server, then: >>>>> spark.executor.cores=1 >>>>> tells it not to use more than 1 core per server. However, it seems it will >>>>> start as many pyspark as there are cores, but maybe not use them. >>>>> >>>>> On Mon, Jul 4, 2016 at 10:44 AM Ashwin Raaghav <ashraag...@gmail.com> >>>>> wrote: >>>>> >>>>>> Hi Mathieu, >>>>>> >>>>>> Isn't that the same as setting "spark.executor.cores" to 1? And how >>>>>> can I specify "--cores=1" from the application? >>>>>> >>>>>> On Mon, Jul 4, 2016 at 8:06 PM, Mathieu Longtin < >>>>>> math...@closetwork.org> wrote: >>>>>> >>>>>>> When running the executor, put --cores=1. We use this and I only see >>>>>>> 2 pyspark process, one seem to be the parent of the other and is idle. >>>>>>> >>>>>>> In your case, are all pyspark process working? >>>>>>> >>>>>>> On Mon, Jul 4, 2016 at 3:15 AM ar7 <ashraag...@gmail.com> wrote: >>>>>>> >>>>>>>> Hi, >>>>>>>> >>>>>>>> I am currently using PySpark 1.6.1 in my cluster. When a pyspark >>>>>>>> application >>>>>>>> is run, the load on the workers seems to go more than what was >>>>>>>> given. When I >>>>>>>> ran top, I noticed that there were too many Pyspark.daemons >>>>>>>> processes >>>>>>>> running. There was another mail thread regarding the same: >>>>>>>> >>>>>>>> >>>>>>>> https://mail-archives.apache.org/mod_mbox/spark-user/201606.mbox/%3ccao429hvi3drc-ojemue3x4q1vdzt61htbyeacagtre9yrhs...@mail.gmail.com%3E >>>>>>>> >>>>>>>> I followed what was mentioned there, i.e. reduced the number of >>>>>>>> executor >>>>>>>> cores and number of executors in one node to 1. But the number of >>>>>>>> pyspark.daemons process is still not coming down. It looks like >>>>>>>> initially >>>>>>>> there is one Pyspark.daemons process and this in turn spawns as many >>>>>>>> pyspark.daemons processes as the number of cores in the machine. >>>>>>>> >>>>>>>> Any help is appreciated :) >>>>>>>> >>>>>>>> Thanks, >>>>>>>> Ashwin Raaghav. >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> -- >>>>>>>> View this message in context: >>>>>>>> http://apache-spark-user-list.1001560.n3.nabble.com/Limiting-Pyspark-daemons-tp27272.html >>>>>>>> Sent from the Apache Spark User List mailing list archive at >>>>>>>> Nabble.com. >>>>>>>> >>>>>>>> >>>>>>>> --------------------------------------------------------------------- >>>>>>>> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >>>>>>>> >>>>>>>> -- >>>>>>> Mathieu Longtin >>>>>>> 1-514-803-8977 >>>>>>> >>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> Regards, >>>>>> >>>>>> Ashwin Raaghav >>>>>> >>>>> -- >>>>> Mathieu Longtin >>>>> 1-514-803-8977 >>>>> >>>> >>>> >>>> >>>> -- >>>> Regards, >>>> >>>> Ashwin Raaghav >>>> >>> -- >>> Mathieu Longtin >>> 1-514-803-8977 >>> >> >> >> >> -- >> Regards, >> >> Ashwin Raaghav >> > -- > Mathieu Longtin > 1-514-803-8977 > -- Regards, Ashwin Raaghav
