Tomaz Kastrun continues a series on Spark with a look at GraphX. Part 20 gives an overview of GraphX:
GraphX is Spark’s API component for graph and graph-parallel computations. GraphX uses Spark RDD and builds a graph abstraction on top of RDD. Graph abstraction is a directed multigraph with properties of edges and vertices.
Part 21 shows off the operators available:
Property graphs have collection of operators, that can take user-defined function and produce new graphs with transformed properties and structure. Core operators are defined in Graph and compositions of core operators are defined as GraphOps, and are automatically available as members of Graph. Each graph representation must provide implementations of the core operations and reuse many of the useful operations that are defined in GraphOps.
Click through for more information on graphs in the Spark ecosystem.