I would like to use Spark on a non-distributed file system but am having trouble getting the driver to assign tasks to the workers that are local to the files. I have extended InputSplits to create my own version of FileSplits, so that each worker gets a bit more information than the default FileSplit provides. I thought that the driver would assign splits based on their locality. But I have found that the driver will send these splits to workers seemingly at random -- even the very first split will go to a node with a different IP than the split specifies. I can see that I am providing the right node address via GetLocations. I also set spark.locality.wait to a high value, but the same misassignment keeps happening.
I am using newAPIHadoopFile to create my RDD. InputFormat is creating the required splits, but not all splits refer to the same file or the same worker IP. What else I can check, or change, to force the driver to send these tasks to the right workers? Thanks! -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-driver-assigning-splits-to-incorrect-workers-tp27261.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
