Github user ankurdave commented on the pull request:
https://github.com/apache/spark/pull/3866#issuecomment-68906303
I'm not sure I understand the problems you're trying to solve in this PR.
Is this an accurate summary:
1. Activeness based on whether a vertex attribute changed from one
superstep to the next (not implemented in the code yet?). An alternative to
using an `isAttrChanged` flag could be to use a VertexRDD join such as
[VertexRDD#diff](https://github.com/apache/spark/blob/master/graphx/src/main/scala/org/apache/spark/graphx/VertexRDD.scala#L128).
2. Arbitrary convergence tests based on iteration number and number of
active messages (implemented using `isTerminal`). What is the use case for this?
3. Optional initial message (implemented by making `initialMsg` an
`Option`).
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