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 <[email protected]>
Date: 2014-12-01T08:54:37Z
Merge pull request #1 from apache/master
update
commit c0169da181660281b3bd82678ae89a73f5926370
Author: JerryLead <[email protected]>
Date: 2014-12-02T03:19:31Z
Merge branch 'master' of https://github.com/apache/spark
update to the latest version
commit 628f33c2c6676d73becfde9a74886e6a34231fd2
Author: JerryLead <[email protected]>
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 [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
