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

[nguacon90]

I try do simple application with scala spark as follow:

val conf = new SparkConf().setMaster("spark://192.168.20.108:7077")
            .setAppName("BI-SERVICE")
val numbersRdd = sc.parallelize((1 to 10000).toList)
numbersRdd.saveAsTextFile("hdfs://192.168.20.108:8020/numbers-as-text02")

However spark job still running and show warning message:
WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
and not write hdfs file.
Anyone can help to resolve the problem?