Support Questions

Find answers, ask questions, and share your expertise
Announcements
Celebrating as our community reaches 100,000 members! Thank you!

spark-submit works on single node only

avatar
New Contributor

Hello,

 

I have a CDH 5.1.3 cluster running on 4 nodes.

I am executing a TallSkinnySVD program (modified bit to run on big data).

When I execute it on cluster it always shows only one executor. I am specifying the number of executors in command but still it’s not working.

One more strange behaviour, I can see the process on http://<spark-host>:4040 but the same process is not listing on Spark UI (from CM on port 18080).

 

The command I am using is as below:

 

$ sudo -u hdfs spark-submit --executor-memory 3g --driver-memory 6g --num-executors 10 --class org.xyz.spark.examples.mllib.TallSkinnySVD --master spark://myhost:7077 target/sparkExamples-0.0.1-SNAPSHOT.jar hdfs://<hdfshost>:8020/user/shailesh/RData/data7K.csv false

 

Please let me know if I am missing anything ?

 

Thanks,

  Shailesh

1 ACCEPTED SOLUTION

avatar
Master Collaborator
hide-solution

This problem has been solved!

Want to get a detailed solution you have to login/registered on the community

Register/Login
4 REPLIES 4

avatar
New Contributor

Hello,

 

Got resolved with error of submitting job on cluster but now its giving different error. (Its was my fault in code).

Its not able submit job on worker. PFB the log.

 

----------------------------------

14/10/15 18:09:08 INFO DAGScheduler: Parents of final stage: List()
14/10/15 18:09:08 INFO DAGScheduler: Missing parents: List()
14/10/15 18:09:08 INFO DAGScheduler: Submitting Stage 0 (MappedRDD[2] at map at TallSkinnySVD.scala:84), which has no missing parents
14/10/15 18:09:08 INFO DAGScheduler: Submitting 7 missing tasks from Stage 0 (MappedRDD[2] at map at TallSkinnySVD.scala:84)
14/10/15 18:09:08 INFO TaskSchedulerImpl: Adding task set 0.0 with 7 tasks 


14/10/15 18:09:23 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory
14/10/15 18:09:38 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory
14/10/15 18:09:53 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory
14/10/15 18:10:08 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory
14/10/15 18:10:23 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory
14/10/15 18:10:38 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory
14/10/15 18:10:53 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory

 

-------------------------------------

 

Please note I have set 4G Java heap for each node from CM. And there are no other tasks running on the cluster.

Not getting why its giving such error.

 

Thanks,

  Shailesh

 

avatar
Master Collaborator
hide-solution

This problem has been solved!

Want to get a detailed solution you have to login/registered on the community

Register/Login

avatar
New Contributor

Thanks Srowen.

 

After tunning the Java Heap memory for all nodes through CM and also increased the driver and worker memory to 6GB and 3GB resp the "TaskSchedulerImpl: Initial job has not accepted any resources" issue got resolved.

 

Regards,

  Shailesh

 

avatar
Master Collaborator

TallSkinnySVD calls RowMatrix.computeSVD, and by default it will decide whether to run the computation locally or not. The defaults may be causing the driver to run the computation only, depending on your data.