I've searched through the mailing list archive. It seems that if you try to run, for example, a Spark 1.5.2 program against a Spark 1.5.1 standalone server, you will run into an exception like this:
WARN org.apache.spark.scheduler.TaskSetManager - Lost task 0.0 in stage 0.0 (TID 0, 192.168.14.103): java.io.InvalidClassException: org.apache.spark.rdd.RDD; local class incompatible: stream classdesc serialVersionUID = -3343649307726848892, local class serialVersionUID = -3996494161745401652 If my application is using a library that builds against Spark 1.5.2, does that mean that my application is now tied to that same Spark standalone server version? Is there a recommended way for that library to have a Spark dependency but keep it compatible against a wider set of versions, i.e. any version 1.5.x? Thanks!
