Yeah, I read that page before, but it does not mention the options should come before the application jar. Actually, if I put the --class option before the application jar, I will get ClassNotFoundException.
Anyway, thanks again Sandy. On Tue, May 19, 2015 at 11:06 AM, Sandy Ryza <sandy.r...@cloudera.com> wrote: > Awesome! > > It's documented here: > https://spark.apache.org/docs/latest/submitting-applications.html > > -Sandy > > On Mon, May 18, 2015 at 8:03 PM, xiaohe lan <zombiexco...@gmail.com> > wrote: > >> Hi Sandy, >> >> Thanks for your information. Yes, spark-submit --master yarn >> --num-executors 5 --executor-cores 4 >> target/scala-2.10/simple-project_2.10-1.0.jar --class scala.SimpleApp is >> working awesomely. Is there any documentations pointing to this ? >> >> Thanks, >> Xiaohe >> >> On Tue, May 19, 2015 at 12:07 AM, Sandy Ryza <sandy.r...@cloudera.com> >> wrote: >> >>> Hi Xiaohe, >>> >>> The all Spark options must go before the jar or they won't take effect. >>> >>> -Sandy >>> >>> On Sun, May 17, 2015 at 8:59 AM, xiaohe lan <zombiexco...@gmail.com> >>> wrote: >>> >>>> 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 >>>>>>> >>>>>> >>>>>> >>>>> >>>> >>> >> >
