September 2015
Intermediate to advanced
148 pages
3h 20m
English
Content preview from Apache Spark Graph ProcessingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
To summarize, GraphX offers several methods and operators for transforming graph elements and modifying its structure. We can use graph-specific operators, which transform a graph into a new one. In addition, we can use special methods that operate on VertexRDD and EdgeRDD collections. Moreover, we used join methods to combine graph data with other datasets. You can use all these methods to wrangle new graph datasets and put them in to a shape that suits your specific needs.
In the next chapter, you will learn how to create custom graph operators of your own using generic optimized methods, such as aggregateMessages and mapReduceTriplets.
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