Hi Evan, Thanks for the quick response. The only mapping between UUIDs and Longs that I can think of is one where I sequentially assign Longs as I load the UUIDs from the DB. But this results in having to centralize this mapping. I am guessing that centralizing this is not a good idea for a distributed graph processing engine.
Also, I will be running Spark on the same nodes as my distributed DB (Cassandra) and I am hoping that the Spark worker on each node will load the data from the local Cassandra node. I am not sure if this is possible with GraphX, but I am hoping it is, and therefore my concern with centralizing the UUID<->Long mapping. Thanks. -deepak -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/GraphX-with-UUID-vertex-IDs-instead-of-Long-tp1953p1982.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
