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https://issues.apache.org/jira/browse/SPARK-9746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14662430#comment-14662430
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Andreas commented on SPARK-9746:
--------------------------------
Sorry to waste your time.
But in my understanding in a PairRDD[K,V] each key (K) should occurre only once
(its like a Map[K,V]). It's by design that the keys in a map are uique (occurre
only one), there is no sense in counting the # of occurences of a key in a Map
(always one by design).
> 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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