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Andrew Ash commented on SPARK-2620: ----------------------------------- I attempted to write a unit test to demonstrate this failure, but my unit tests passed for both distinct and groupByKey... https://github.com/apache/spark/pull/1588 [~gmaas] can you repro either 1) with something other than MASTER=local[4] or 2) an application rather than in spark-shell ? > case class cannot be used as key for reduce > ------------------------------------------- > > Key: SPARK-2620 > URL: https://issues.apache.org/jira/browse/SPARK-2620 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 1.0.0 > Environment: reproduced on spark-shell local[4] > Reporter: Gerard Maas > Priority: Critical > Labels: case-class, core > > Using a case class as a key doesn't seem to work properly on Spark 1.0.0 > A minimal example: > case class P(name:String) > val ps = Array(P("alice"), P("bob"), P("charly"), P("bob")) > sc.parallelize(ps).map(x=> (x,1)).reduceByKey((x,y) => x+y).collect > [Spark shell local mode] res : Array[(P, Int)] = Array((P(bob),1), > (P(bob),1), (P(abe),1), (P(charly),1)) > In contrast to the expected behavior, that should be equivalent to: > sc.parallelize(ps).map(x=> (x.name,1)).reduceByKey((x,y) => x+y).collect > Array[(String, Int)] = Array((charly,1), (abe,1), (bob,2)) > groupByKey and distinct also present the same behavior. -- This message was sent by Atlassian JIRA (v6.2#6252)