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