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From "Shivaram Venkataraman (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-7482) Rename some DataFrame API methods in SparkR to match their counterparts in Scala
Date Wed, 13 May 2015 06:53:01 GMT

     [ https://issues.apache.org/jira/browse/SPARK-7482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Shivaram Venkataraman resolved SPARK-7482.
------------------------------------------
    Resolution: Fixed

Issue resolved by pull request 6007
[https://github.com/apache/spark/pull/6007]

> Rename some DataFrame API methods in SparkR to match their counterparts in Scala
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-7482
>                 URL: https://issues.apache.org/jira/browse/SPARK-7482
>             Project: Spark
>          Issue Type: Improvement
>          Components: SparkR
>    Affects Versions: 1.4.0
>            Reporter: Sun Rui
>            Assignee: Sun Rui
>            Priority: Critical
>
> This is re-consideration on how to solve name conflict. Previously, we rename API names
from Scala API if there is name conflict with base or other commonly-used packages. However,
from long term perspective, this is not good for API stability, because we can't predict name
conflicts, for example, if in the future a name added in base package conflicts with an API
in SparkR? So the better policy is to keep API name same as Scala's without worrying about
name conflicts. When users use SparkR, they should load SparkR as last package, so that all
API names are effective. Use can explicitly use :: to refer to hidden names from other packages.
> more discussion can be found at https://issues.apache.org/jira/browse/SPARK-6812



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