Sorry, them both are assigned task actually. Aggregated Metrics by Executor Executor IDAddressTask TimeTotal TasksFailed TasksSucceeded TasksInput Size / RecordsShuffle Write Size / RecordsShuffle Spill (Memory)Shuffle Spill (Disk)1host1:61841.7 min505640.0 MB / 12318400382.3 MB / 121007701630.4 MB295.4 MB2host2:620721.7 min505640.0 MB / 12014510386.0 MB / 109269121646.6 MB304.8 MB
On Sun, May 17, 2015 at 11:50 PM, xiaohe lan <zombiexco...@gmail.com> wrote: > bash-4.1$ ps aux | grep SparkSubmit > xilan 1704 13.2 1.2 5275520 380244 pts/0 Sl+ 08:39 0:13 > /scratch/xilan/jdk1.8.0_45/bin/java -cp > /scratch/xilan/spark/conf:/scratch/xilan/spark/lib/spark-assembly-1.3.1-hadoop2.4.0.jar:/scratch/xilan/spark/lib/datanucleus-core-3.2.10.jar:/scratch/xilan/spark/lib/datanucleus-api-jdo-3.2.6.jar:/scratch/xilan/spark/lib/datanucleus-rdbms-3.2.9.jar:/scratch/xilan/hadoop/etc/hadoop > -Xms512m -Xmx512m org.apache.spark.deploy.SparkSubmit --master yarn > target/scala-2.10/simple-project_2.10-1.0.jar --class scala.SimpleApp > --num-executors 5 --executor-cores 4 > xilan 1949 0.0 0.0 103292 800 pts/1 S+ 08:40 0:00 grep > --color SparkSubmit > > > When look at the sparkui, I see the following: > Aggregated Metrics by ExecutorExecutor IDAddressTask TimeTotal TasksFailed > TasksSucceeded TasksShuffle Read Size / Records1host1:304836 s101127.1 MB > / 28089782host2:49970 ms00063.4 MB / 1810945 > > So executor 2 is not even assigned a task ? Maybe I have some problems in > my setting, but I don't know what could be the possible settings I set > wrong or have not set. > > > Thanks, > Xiaohe > > On Sun, May 17, 2015 at 11:16 PM, Akhil Das <ak...@sigmoidanalytics.com> > wrote: > >> Did you try --executor-cores param? While you submit the job, do a ps aux >> | grep spark-submit and see the exact command parameters. >> >> Thanks >> Best Regards >> >> On Sat, May 16, 2015 at 12:31 PM, xiaohe lan <zombiexco...@gmail.com> >> wrote: >> >>> Hi, >>> >>> I have a 5 nodes yarn cluster, I used spark-submit to submit a simple >>> app. >>> >>> spark-submit --master yarn >>> target/scala-2.10/simple-project_2.10-1.0.jar --class scala.SimpleApp >>> --num-executors 5 >>> >>> I have set the number of executor to 5, but from sparkui I could see >>> only two executors and it ran very slow. What did I miss ? >>> >>> Thanks, >>> Xiaohe >>> >> >> >
