[jira] [Commented] (SPARK-12148) SparkR: rename DataFrame to SparkDataFrame

["Shivaram Venkataraman (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-12148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15043591#comment-15043591 ] 

Shivaram Venkataraman commented on SPARK-12148:
-----------------------------------------------

Hmm thats unfortunate but I think we want to keep the DataFrame name in SparkR to match the class names in Scala [1] and Python [2]. Couldn't users can always prefix their calls with SparkR:: or S4Vectors:: or does this cause some other problems at package load time ?

cc [~rxin]

[1] http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.DataFrame
[2] http://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrame

> SparkR: rename DataFrame to SparkDataFrame
> ------------------------------------------
>
>                 Key: SPARK-12148
>                 URL: https://issues.apache.org/jira/browse/SPARK-12148
>             Project: Spark
>          Issue Type: Wish
>          Components: R, SparkR
>            Reporter: Michael Lawrence
>            Priority: Minor
>
> The SparkR package represents a Spark DataFrame with the class "DataFrame". That conflicts with the more general DataFrame class defined in the S4Vectors package. Would it not be more appropriate to use the name "SparkDataFrame" instead?



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