GitHub user JerryLead opened a pull request:
https://github.com/apache/spark/pull/3537
[SPARK-4672][GraphX]Non-transient PartitionsRDDs lead to StackOverflow error
The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672
In a nutshell, if `val partitionsRDD` of VertexRDD and EdgeRDD are
non-transient, the task's serialization chain will 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_change
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/3537.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 #3537
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commit 52799e3ea2b22f4bcaec3d9cd4c8891e212be09e
Author: Lijie Xu <[email protected]>
Date: 2014-12-01T08:54:37Z
Merge pull request #1 from apache/master
update
commit 5207961636f41187109c2d71617f8aba7d277e07
Author: JerryLead <[email protected]>
Date: 2014-12-01T11:45:31Z
set VertexRDD.partitionsRDD and EdgeRDD.partitionsRDD to transient variables
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