If you are using capacity scheduler in yarn: By default yarn capacity scheduler uses DefaultResourceCalculator. DefaultResourceCalculator consider¹s only memory while allocating contains. You can use DominantResourceCalculator, it considers memory and cpu. In capacity-scheduler.xml set yarn.scheduler.capacity.resource-calculator=org.apache.hadoop.yarn.util.res ource.DefaultResourceCalculator
On 04/11/14 3:03 am, "Gen" <gen.tan...@gmail.com> wrote: >Hi, > >Well, I doesn't find original documentation, but according to >http://qnalist.com/questions/2791828/about-the-cpu-cores-and-cpu-usage ><http://qnalist.com/questions/2791828/about-the-cpu-cores-and-cpu-usage> >, >the vcores is not for physics cpu core but for "virtual" cores. >And I used top command to monitor the cpu utilization during the spark >task. >The spark can use all cpu even I leave --executor-cores as default(1). > >Hope that it can be a help. >Cheers >Gen > > >Gen wrote >> Hi, >> >> Maybe it is a stupid question, but I am running spark on yarn. I request >> the resources by the following command: >> {code} >> ./spark-submit --master yarn-client --num-executors #number of worker >> --executor-cores #number of cores. ... >> {code} >> However, after launching the task, I use >/ >> yarn node -status ID >/ >> to monitor the situation of cluster. It shows that the number of Vcores >> used for each container is always 1 no matter what number I pass by >> --executor-cores. >> Any ideas how to solve this problem? Thanks a lot in advance for your >> help. >> >> Cheers >> Gen > > > > > >-- >View this message in context: >http://apache-spark-user-list.1001560.n3.nabble.com/executor-cores-cannot- >change-vcores-in-yarn-tp17883p17992.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 > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
