[jira] [Updated] (SPARK-17185) Unify naming of API for RDD and Dataset

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

     [ https://issues.apache.org/jira/browse/SPARK-17185?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen updated SPARK-17185:
------------------------------
    Priority: Minor  (was: Major)

I know what you mean, but is there a way to do this without changing the API? I'm not sure there is. I am not sure it's worth changing the API for this.

> Unify naming of API for RDD and Dataset
> ---------------------------------------
>
>                 Key: SPARK-17185
>                 URL: https://issues.apache.org/jira/browse/SPARK-17185
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core, SQL
>            Reporter: Xiang Gao
>            Priority: Minor
>
> In RDD, groupByKey is used to generate a key-list pair and  aggregateByKey is used to do aggregation.
> In Dataset, aggregation is done by groupBy and groupByKey, and no API for key-list pair is provided.
> The same name "groupBy" is designed to do different things and this might be be confusing. Besides, it would be more convenient to provide API to generate key-list pair for Dataset.



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