GitHub user JerryLead opened a pull request: https://github.com/apache/spark/pull/3544
[SPARK-4672][GraphX]Non-transient PartitionsRDDs will lead to StackOverflow error The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 In a nutshell, if `val partitionsRDD` in EdgeRDDImpl and VertexRDDImpl are non-transient, the serialization chain can become very long in iterative algorithms and finally lead to the StackOverflow error. More details and explanation can be found in the JIRA. You can merge this pull request into a Git repository by running: $ git pull https://github.com/JerryLead/spark my_graphX Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/3544.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 #3544 ---- commit 52799e3ea2b22f4bcaec3d9cd4c8891e212be09e Author: Lijie Xu <csxuli...@gmail.com> Date: 2014-12-01T08:54:37Z Merge pull request #1 from apache/master update commit c0169da181660281b3bd82678ae89a73f5926370 Author: JerryLead <jerryl...@163.com> Date: 2014-12-02T03:19:31Z Merge branch 'master' of https://github.com/apache/spark update to the latest version commit 628f33c2c6676d73becfde9a74886e6a34231fd2 Author: JerryLead <jerryl...@163.com> Date: 2014-12-02T03:28:01Z set PartitionsRDD to be transient in EdgeRDDImpl and VertexRDDImpl ---- --- 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. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org