Spark-submit not working when application jar is in hdfs

Question

I'm trying to run a spark application using bin/spark-submit. When I reference my application jar inside my local filesystem, it works. However, when I copied my application jar to a directory in hdfs, i get the following exception: Warning: Skip remote jar hdfs://localhost:9000/user/hdfs/jars/simple-project-1.0-SNAPSHOT.jar. java.lang.ClassNotFoundException: com.example.SimpleApp Here's the command: $ ./bin/spark-submit --class com.example.SimpleApp --master local hdfs://localhost:9000/user/hdfs/jars/simple-project-1.0-SNAPSHOT.jar I'm using hadoop version 2.6.0, spark version 1.2.1 Select the correct answer from above options

Answer 1

Client mode would not support HDFS jar extraction. To make HDFS library accessible to spark-job , you have to run job in cluster mode. $SPARK_HOME/bin/spark-submit \ --deploy-mode cluster \ --class

\ --master yarn-cluster \ hdfs://myhost:8020/user/root/myjar.jar Refer to the following video tutorial if you want more information regarding the same: