Erro de trabalho em execução independente do Spark

Ficaram presos nesse erro por alguns dias, precisam desesperadamente de ajuda.

Portanto, com o modo de implantação autônomo, estou tentando executar trabalhos de amostra, mas não importa quão simples seja o trabalho (mesmo iniciando o spark-shell com a contagem de uma matriz de números), o seguinte erro continua aparecendo (um ciclo completo do log de loop) info):

INFO AppClient$ClientActor: Executor added: app-20150604024526-0001/3 on worker-20150604023842-localhost-54417 (localhost:54417) with 1 cores
INFO SparkDeploySchedulerBackend: Granted executor ID app-20150604024526-0001/3 on hostPort localhost:54417 with 1 cores, 512.0 MB RAM

INFO AppClient$ClientActor: Executor updated: app-20150604024526-0001/3 is now RUNNING

INFO AppClient$ClientActor: Executor updated: app-20150604024526-0001/3 is now LOADING

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

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

INFO AppClient$ClientActor: Executor updated: app-20150604024526-0001/2 is now EXITED (Command exited with code 1)

INFO SparkDeploySchedulerBackend: Executor app-20150604024526-0001/2 removed: Command exited with code 1

ERROR SparkDeploySchedulerBackend: Asked to remove non-existent executor 2

Quaisquer insights ou sugestões serão profundamente apreciados! Muito obrigado!