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https://issues.apache.org/jira/browse/SPARK-9746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14679279#comment-14679279
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Sean Owen commented on SPARK-9746:
----------------------------------
No, it doesn't:
{code}
scala> val rdd = sc.parallelize(Array(("foo", "bar"), ("foo", "bing"), ("buzz",
"bizz")))
rdd: org.apache.spark.rdd.RDD[(String, String)] = ParallelCollectionRDD[0] at
parallelize at <console>:15
scala> rdd.countByKey()
res0: scala.collection.Map[String,Long] = Map(buzz -> 1, foo -> 2)
{code}
My guess is your key class is not a string, but some custom class that maybe
does not implement the notion of equality you expect?
> 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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