Github user rcsenkbeil commented on the pull request:
https://github.com/apache/spark/pull/1929#issuecomment-53369372
@mateiz I have not run into that issue. In fact, I just cloned a copy of my
branch I submitted on a fresh computer and it still worked fine.
To test, I cloned the branch and ran `sbt/sbt assembly` to build the new
jars.
From there, I created a file called _TestClass.java_ as an illustration:
```
package com.ibm.testjar;
public class TestClass {
public void runMe() {
System.out.println("I WAS RUN!");
}
}
```
I created a jar from this by issuing `javac TestClass.java`, `mv
TestClass.class com/ibm/testjar/`, and `jar -cf TestJar.jar
com/ibm/testjar/TestClass.class`.
Finally, I ran two different cases after starting the Spark shell through
`bin/spark-shell` (after `sbt/sbt assembly`):
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