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https://issues.apache.org/jira/browse/SPARK-5940?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14333265#comment-14333265
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lukovnikov commented on SPARK-5940:
-----------------------------------
Probably it's better to involve core Spark/GraphX developers here as well,
especially for the refactoring part.
Anyway, from my part, I'd love to have loaders (and savers) for different RDF
formats and (sparse) matrix/tensor formats (for scipy/...).
As for the refactoring, I'd guess it would make sense to have a loader
interface with a load() method and a facade combining different loader
interface implementations (so it would have methods like loadNT(), loadEdges(),
loadTTL(),...).
> Graph Loader: refactor + add more formats
> -----------------------------------------
>
> Key: SPARK-5940
> URL: https://issues.apache.org/jira/browse/SPARK-5940
> Project: Spark
> Issue Type: New Feature
> Components: GraphX
> Reporter: lukovnikov
> Priority: Minor
>
> Currently, the only graph loader is GraphLoader.edgeListFile. [SPARK-5280]
> adds a RDF graph loader.
> However, as Takeshi Yamamuro suggested on github [SPARK-5280],
> https://github.com/apache/spark/pull/4650, it might be interesting to make
> GraphLoader an interface with several implementations for different formats.
> And maybe it's good to make a façade graph loader that provides a unified
> interface to all loaders.
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