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Posted to issues@spark.apache.org by "Shivaram Venkataraman (JIRA)" <ji...@apache.org> on 2015/05/12 06:06:00 UTC
[jira] [Resolved] (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 ]
Shivaram Venkataraman resolved SPARK-7435.
------------------------------------------
Resolution: Pending Closed
Fix Version/s: 1.4.0
Issue resolved by pull request 5989
[https://github.com/apache/spark/pull/5989]
> 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: Critical
> Fix For: 1.4.0
>
>
> 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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