Hi, I am doing graph computation using GraphX, but it seems to be an error on graph partition strategy specification. as in "GraphX programming guide": The Graph.partitionBy operator allows users to choose the graph partitioning strategy, but due to SPARK-1931, this method is broken in Spark 1.0.0. We encourage users to build the latest version of Spark from the master branch, which contains a fix. Alternatively, a workaround is to partition the edges before constructing the graph, as follows:
My questions: - how to "build the latest version of Spark from the master branch, which contains a fix"? - how to specify other partition strategy, eg. CanonicalRandomVertexCut, EdgePartition1D, EdgePartition2D, RandomVertexCut (listed in Scala API document, but seems only "EdgePartition2D" is available? I am not sure for this! ) - Is it possible to add my own partition strategy(hash function, etc.) into GraphX? Thanks in advance! :)) Best, Yifan
