Reputation: 3956
I am running this spark command to run spark Scala program successfully using Hortonworks vm. But once the job is completed it is not exiting from spark-submit command until I hit ctrl+C. Why?
spark-submit --class SimpleApp --master yarn-client --num-executors 3 --driver-memory 512m --executor-memory12m --executor-cores 1 target/scala-2.10/application_2.10-1.0.jar /user/root/decks/largedeck.txt
Here is the code, I am running.
/* SimpleApp.scala */
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
object SimpleApp {
def main(args: Array[String]) {
val logFile = "YOUR_SPARK_HOME/README.md" // Should be some file on your system
val conf = new SparkConf().setAppName("Simple Application")
val sc = new SparkContext(conf)
val cards = sc.textFile(args(0)).flatMap(_.split(" "))
val cardCount = cards.count()
println(cardCount)
}
}
Upvotes: 3
Views: 2631
Reputation: 2777
I had the same kind of problem when writing files to S3. I use the spark 2.0 version, even after adding stop() if it didn't work for you. Try the below settings
In Spark 2.0 you can use,
val spark = SparkSession.builder().master("local[*]").appName("App_name").getOrCreate()
spark.conf.set("spark.hadoop.mapred.output.committer.class","com.appsflyer.spark.DirectOutputCommitter")
spark.conf.set("mapreduce.fileoutputcommitter.marksuccessfuljobs", "false")
Upvotes: 1
Reputation: 4720
You have to call stop() on context to exit your program cleanly.
Upvotes: 7