spark-instrumented-optimizer/graphx
JerryLead 17c162f668 [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.

Author: JerryLead <JerryLead@163.com>
Author: Lijie Xu <csxulijie@gmail.com>

Closes #3544 from JerryLead/my_graphX and squashes the following commits:

628f33c [JerryLead] set PartitionsRDD to be transient in EdgeRDDImpl and VertexRDDImpl
c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark
52799e3 [Lijie Xu] Merge pull request #1 from apache/master
2014-12-02 17:14:11 -08:00
..
data Fix all code examples in guide 2014-01-13 22:29:45 -08:00
src [SPARK-4672][GraphX]Non-transient PartitionsRDDs will lead to StackOverflow error 2014-12-02 17:14:11 -08:00
pom.xml Bumping version to 1.3.0-SNAPSHOT. 2014-11-18 21:24:18 -08:00