Spark submit error: java.lang.ClassNotFoundException: DirectKafkaWordCount - scala

Question

I want to running a spark streaming example DirectKafkaWordCount.
This is my directory structure：
root#sandbox:/usr/local/spark/test# find
.
./src
./src/main
./src/main/scala
./src/main/scala/DirectKafkaWordCount.scala
./simple.sbt
sbt package is done, everything is ok.
........
[info] Done updating.
[info] Compiling 1 Scala source to /usr/local/spark-1.6.0-bin-hadoop2.6/test/target/scala-2.10.5/classes...
[info] Packaging /usr/local/spark-1.6.0-bin-hadoop2.6/test/target/scala-2.10.5/direct-kafka-word-count_2.10.5-1.0.jar ...
[info] Done packaging.
[success] Total time: 60 s, completed May 12, 2016 1:34:04 AM
but errors found when I run the spark-submit:
root#sandbox:/usr/local/spark# bin/spark-submit --class DirectKafkaWordCount --master local[4] test/target/scala-2.10.5/direct-kafka-word-count_2.10.5-1.0.jar
java.lang.ClassNotFoundException: DirectKafkaWordCount
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:278)
at org.apache.spark.util.Utils$.classForName(Utils.scala:174)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:689)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
I am new in Spark, hope someone can help me.

Answer 1

->Actually I think you should include the groupId and artifactId of your class when you run the
spark-submit command like:
spark-submit --class com.balabala.spark.DirectKafkaWordCount --master local[4] test/target/scala-2.10.5/direct-kafka-word-count_2.10.5-1.0.jar
Then spark should be able to find your class.