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From "koert kuipers (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-3655) Support sorting of values in addition to keys (i.e. secondary sort)
Date Sun, 07 Dec 2014 19:53:12 GMT

    [ https://issues.apache.org/jira/browse/SPARK-3655?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14237254#comment-14237254
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koert kuipers commented on SPARK-3655:
--------------------------------------

i also dont like the signature 
def groupByKeyAndSortValues(valueOrdering: Ordering[V], partitioner: Partitioner): RDD[(K,
Iterable[V])]
i doubt it can be implemented efficiently

i would much prefer
def groupByKeyAndSortValues(valueOrdering: Ordering[V], partitioner: Partitioner): RDD[(K,
TraversableOnce[V])]

but that is inconsistent with groupByKey (which i guess has Iterable in it's return type for
historical reasons.. used to be Seq)

> Support sorting of values in addition to keys (i.e. secondary sort)
> -------------------------------------------------------------------
>
>                 Key: SPARK-3655
>                 URL: https://issues.apache.org/jira/browse/SPARK-3655
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core
>    Affects Versions: 1.1.0
>            Reporter: koert kuipers
>            Assignee: Koert Kuipers
>            Priority: Minor
>
> Now that spark has a sort based shuffle, can we expect a secondary sort soon? There are
some use cases where getting a sorted iterator of values per key is helpful.



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