GitHub user ghidi opened a pull request: https://github.com/apache/spark/pull/821
SPARK-1877: ClassNotFoundException when loading RDD with serialized obje... When I load a RDD that has custom serialized objects, Spark throws ClassNotFoundException. This happens only when Spark is deployed as a standalone cluster, it works fine when Spark is local. I debugged the issue and I noticed that ObjectInputStream.resolveClass does not use ExecutorURLClassLoader set by SparkSubmit. You have to explicitly set the classloader in SparkContext.objectFile for ObjectInputStream when deserializing objects. You can merge this pull request into a Git repository by running: $ git pull https://github.com/ghidi/spark master Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/821.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #821 ---- commit fee0c5d2a8eb4908a095616e706c9799844be1d7 Author: Ghidireac <bogd...@u448a5b0a73d45358d94a.ant.amazon.com> Date: 2014-05-19T06:36:45Z SPARK-1877: ClassNotFoundException when loading RDD with serialized objects ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. ---