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Sean Owen commented on SPARK-9746: ---------------------------------- It counts the number of entries whose key is K, for all distinct K in the RDD. The value could be a string, collection, or ham sandwich. I don't understand your question? it counts, and returns a map, of keys to counts. > PairRDDFunctions.countByKey: values/counts always 1 > --------------------------------------------------- > > Key: SPARK-9746 > URL: https://issues.apache.org/jira/browse/SPARK-9746 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 1.4.0 > Reporter: Andreas > > org.apache.spark.rdd.PairRDDFunctionscountByKey(): Map[K, Long] = > self.withScope { > self.mapValues(_ => 1L).reduceByKey(_ + _).collect().toMap > } > obviously always returns count 1 for each key. > If I understand the docs correctly I would expect this implementation: > self.mapValues(_.size).reduceByKey(_ + _).collect().toMap -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org