Greetings, First comment on the issue says that reason for non-supporting of multiple contexts is "There are numerous assumptions in the code base that uses a shared cache or thread local variables or some global identifiers which prevent us from using multiple SparkContext's."
May it be worked around by creating those context in several classloaders with their own copies of Spark classes? Thanks, Anton
