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https://issues.apache.org/jira/browse/SPARK-6281?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14908349#comment-14908349
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Rohit commented on SPARK-6281:
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Hi I see the issue as resolved and the resolution as wont fix!
I am currently using GraphX and I also have this requirement of updating the
graph incrementally specially adding new edges and deletion of old edges. Is it
possible in current version some how? currently As i understood this could be
done only by doing a union of the new edge RDDs with the graph.Edge RDDs and
creating the graph again which does not seem very efficient as the new edges
arrives in stream at quit frequent interval. Any plans of supporting this in
future?
> Support incremental updates for Graph
> -------------------------------------
>
> Key: SPARK-6281
> URL: https://issues.apache.org/jira/browse/SPARK-6281
> Project: Spark
> Issue Type: New Feature
> Components: GraphX
> Reporter: Takeshi Yamamuro
> Priority: Minor
>
> Add api to efficiently append new vertices and edges into existing Graph,
> e.g., Graph#append(newVerts: RDD[(VertexId, VD)], newEdges: RDD[Edge[ED]],
> defaultVertexAttr: VD)
> This is useful for time-evolving graphs; new vertices and edges are built from
> streaming data thru Spark Streaming, and then incrementally appended
> into a existing graph.
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