Submitting spark application with master=yarn is giving exception “URL must be set”

[#1]

I am submitting a spark2 application with yarn as the master. This causes the exception: 

org.apache.spark.SparkException: A master URL must be set in your configuration

From what the searching I've done, I should not be getting this exception 

---

Submit Script:

export JAVA_HOME=/usr/java/jdk1.8.0_131/
spark2-submit --class com.example.myapp.ClusterEntry \
    --name "Hello World" \
    --master yarn \
    --deploy-mode cluster \
    --driver-memory 1g \
    --executor-memory 1g \
    --executor-cores 3 \
    --packages org.apache.kudu:kudu-spark2_2.11:1.4.0 \
    myapp.jar myconf.file

Exception:

18/03/14 15:31:47 WARN scheduler.TaskSetManager: Lost task 1.0 in stage 1.0 (TID 3, vm6.adcluster, executor 1): org.apache.spark.SparkException: A master URL must be set in your configuration
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:376)
    at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2509)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:909)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:901)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:901)
    at com.example.myapp.dao.KuduSink.open(KuduSink.scala:18)
    at org.apache.spark.sql.execution.streaming.ForeachSink$$anonfun$addBatch$1.apply(ForeachSink.scala:50)
    at org.apache.spark.sql.execution.streaming.ForeachSink$$anonfun$addBatch$1.apply(ForeachSink.scala:49)
    at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
    at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:108)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:748)

This app when I run it locally, just not on the cluster.

One thing that may be relevant is that the application uses a Kudu Client that appears in the exception message in the class "KuduSink". 

[#2]

Hi, 

The following code change will work

SparkConf configuration = new SparkConf() .setAppName("Your Application Name").setMaster("local");

val sc = new SparkContext(conf);

Instead of "local" you can use it as "yarn"

Thanks

Arun