[jira] [Commented] (SPARK-9746) PairRDDFunctions.countByKey: values/counts always 1

["Sean Owen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-9746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14662348#comment-14662348 ] 

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



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