Dataframes to EdgeRDD (GraphX) using Scala api to Spark

Question

Is there a nice way of going from a Spark DataFrame to an EdgeRDD without hardcoding types in the Scala code? The examples I've seen use case classes to define the type of the EdgeRDD .

Let's assume that our Spark DataFrame has StructField ("dstID", LongType, false) and ("srcID", LongType, false) and between 0 and 22 additional StructField (We are constraining this so that we can use a TupleN to represent them). Is there a clean way to define an EdgeRdd[TupleN] by grabbing the types from the DataFrame ? As motivation, consider that we are loading a Parquet file that contains type information.

I'm very new to Spark and Scala, so I realize the question may be misguided. In this case, I'd appreciate learning the "correct" way of thinking about this problem.

Answer 1

可能最简单的方法是映射到Dataframe中的Row对象（带有map ）并以这种方式返回。