[jira] [Resolved] (SPARK-3519) PySpark RDDs are missing the distinct(n) method

["Josh Rosen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-3519?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Rosen resolved SPARK-3519.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 1.2.0

Issue resolved by pull request 2383
[https://github.com/apache/spark/pull/2383]

> PySpark RDDs are missing the distinct(n) method
> -----------------------------------------------
>
>                 Key: SPARK-3519
>                 URL: https://issues.apache.org/jira/browse/SPARK-3519
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, Spark Core
>    Affects Versions: 1.1.0
>            Reporter: Nicholas Chammas
>            Assignee: Matthew Farrellee
>             Fix For: 1.2.0
>
>
> {{distinct()}} works but {{distinct(N)}} doesn't.
> {code}
> >>> sc.parallelize([1,1,2]).distinct()
> PythonRDD[15] at RDD at PythonRDD.scala:43
> >>> sc.parallelize([1,1,2]).distinct(2)
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
> TypeError: distinct() takes exactly 1 argument (2 given)
> {code}
> The PySpark docs only call out [the {{distinct()}} signature|http://spark.apache.org/docs/1.1.0/api/python/pyspark.rdd.RDD-class.html#distinct], but the programming guide [includes the {{distinct(N)}} signature|http://spark.apache.org/docs/1.1.0/programming-guide.html#transformations] as well.
> {quote}
> {noformat}
> distinct([numTasks]))	Return a new dataset that contains the distinct elements of the source dataset.
> {noformat}
> {quote}



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