Spark throws ClassNotFoundException when using --jars option

Question

I was trying to follow the Spark standalone application example described here https://spark.apache.org/docs/latest/quick-start.html#standalone-applications

The exam

Answer 1

According to spark-submit's --help, the --jars option expects a comma-separated list of local jars to include on the driver and executor classpaths.

I think that what's happening here is that /home/linpengt/workspace/scala-learn/spark-analysis/target/pack/lib/* is expanding into a space-separated list of jars and the second JAR in the list is being treated as the application jar.

One solution is to use your shell to build a comma-separated list of jars; here's a quick way of doing it in bash, based on this answer on StackOverflow (see that answer for more complex approaches that handle filenames that contain spaces):

spark-submit --jars $(echo /dir/of/jars/*.jar | tr ' ' ',') \
    --class "SimpleApp" --master local[4] path/to/myApp.jar