[jira] [Commented] (SPARK-5917) Distinct is broken

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

    [ https://issues.apache.org/jira/browse/SPARK-5917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14328769#comment-14328769 ] 

Sean Owen commented on SPARK-5917:
----------------------------------

Isn't this just another symptom of the known issues with S3 and inconsistent reads?
https://issues.apache.org/jira/browse/SPARK-2579

Did you try the items in that JIRA?

> Distinct is broken
> ------------------
>
>                 Key: SPARK-5917
>                 URL: https://issues.apache.org/jira/browse/SPARK-5917
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 1.1.1
>         Environment: Spark 1.1.1 running on YARN 2.4 via Amazon EMR.
>            Reporter: Derrick Burns
>            Priority: Critical
>
> I hate to file bugs that are hard to reproduce (by other people), but after spending a full week trying to debug my code, I constructed a scenario where the following assertion FAILS.
> val x : RDD[T] = ....
> val y = x.distinct()
> assert( y.count() <= x.count() )
> I am at a complete loss as to how this can occur under ANY definition of equality/order unless the RDD underlying x is mutable. Since none of my RDD transforms mutate any existing RDD data and I am reading from immutable sources (data on S3), I conclude that there must be a bug in Spark or I am mutating my data unknowingly.   



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