Hi
It could be due to the connectivity issue between the master and the slaves.
I have seen this issue occur for the following reasons.Are the slaves
visible in the Spark UI?And how much memory is allocated to the executors.
1. Syncing of configuration between Spark Master and Slaves.
2.
Hi all,
I am new to spark and seem to have hit a common newbie obstacle.
I have a pretty simple setup and job but I am unable to get past this error
when executing a job:
TaskSchedulerImpl: Initial job has not accepted any resources; check your
cluster UI to ensure that workers are registered
