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Posted to issues@spark.apache.org by "Olivier Girardot (JIRA)" <ji...@apache.org> on 2015/05/07 13:17:59 UTC

[jira] [Updated] (SPARK-7435) Make DataFrame.show() consistent with that of Scala and pySpark

     [ https://issues.apache.org/jira/browse/SPARK-7435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Olivier Girardot updated SPARK-7435:
------------------------------------
    Summary: Make DataFrame.show() consistent with that of Scala and pySpark  (was: Make DataFrame.show() cosistent with that of Scala and pySpark)

> Make DataFrame.show() consistent with that of Scala and pySpark
> ---------------------------------------------------------------
>
>                 Key: SPARK-7435
>                 URL: https://issues.apache.org/jira/browse/SPARK-7435
>             Project: Spark
>          Issue Type: Improvement
>          Components: SparkR
>    Affects Versions: 1.4.0
>            Reporter: Sun Rui
>            Priority: Blocker
>
> Currently in SparkR, DataFrame has two methods show() and showDF(). show() prints the DataFrame column names and types and showDF() prints the first numRows rows of a DataFrame.
> In Scala and pySpark, show() is used to prints rows of a DataFrame. 
> We'd better keep API consistent unless there is some important reason. So propose to interchange the names (show() and showDF()) in SparkR.



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