Driver doesn't stop on cluster mode - apache-spark

Question

I've configured my cluster (1 master / 9 slaves) .
My problem is that when I submit an application (word through spark-submit with deploy-mode cluster) the driver doesn't stop, even though there is little data.
I submitted the application like that:
./spark-submit \
--class wordCount \
--master spark://master:6066 --deploy-mode cluster --supervise \
--executor-cores 1 --total-executor-cores 3 --executor-memory 1g \
hdfs://master:9000/user/exemple/word3.jar \
hdfs://master:9000/user/exemple/texte.txt
hdfs://master:9000/user/exemple/result 2
That's my program:
import org.apache.spark.SparkContext import
org.apache.spark.SparkContext._ import org.apache.spark.SparkConf
object SparkWordCount { def main(args: Array[String]) {
// create Spark context with Spark configuration
val sc = new SparkContext(new SparkConf().setAppName("Spark Count"))
// get threshold
val threshold = args(1).toInt
// read in text file and split each document into words
val tokenized = sc.textFile(args(0)).flatMap(_.split(" "))
// count the occurrence of each word
val wordCounts = tokenized.map((_, 1)).reduceByKey(_ + _)
// filter out words with fewer than threshold occurrences
val filtered = wordCounts.filter(_._2 >= threshold)
// count characters
val charCounts = filtered.flatMap(_._1.toCharArray).map((_, 1)).reduceByKey(_ + _)
System.out.println(charCounts.collect().mkString(", ")) } }
Result :
Application Status