cannot submit tasks to master

[pzg250]

Hi,
I met an issue. Anyone can help? Thanks in advance.

After deploy docker-spark to a server(192.168.10.8), I try to test by another server(192.168.10.7).
same version spark has been installed on 192.168.10.7.
cmd steps:

spark-shell --master spark://192.168.10.8:7077 --total-executor-cores 1 --executor-memory 512M
# xxxx
# some output here
# xxxx
val textFile = sc.textFile("file:///opt/spark/README.md");
textFile.first();

I got below error.(infinite loop messages)

WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

[GezimSejdiu]

Hey @pzg250 ,

thanks a lot for reporting this. Could you tell us how you are running spark-shell command? Withing docker exec or from outside the docker network? Have you tried to use one of our docker templates as an example?

Best,

[nguacon90]

I've the same issue. Anyone can help?
Thanks alot.

[rilakgg]

Hi @pzg250 ,

I got the same error too.
Could I use this configuration as below from outside Spark Cluster ?

spark = SparkSession.builder.appName("SparkSample2").master("spark://192.XX.X.XX:7077").getOrCreate()
I'd like to run this application from client side.
Thank you for your great support.
Best,