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https://issues.apache.org/jira/browse/SPARK-8277?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14608689#comment-14608689
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Shivaram Venkataraman commented on SPARK-8277:
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Yeah so the bottleneck is in converting R data frames from columns to a list of
rows. It would be interesting to see if we can serialize each column at a time
and then somehow add them as columns to the Scala DataFrame (or do a column to
row conversion in Scala). [~cafreeman] was looking at some related stuff at
some point.
> SparkR createDataFrame is slow
> ------------------------------
>
> Key: SPARK-8277
> URL: https://issues.apache.org/jira/browse/SPARK-8277
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 1.4.0
> Reporter: Shivaram Venkataraman
>
> For example calling `createDataFrame` on the data from
> http://s3-us-west-2.amazonaws.com/sparkr-data/flights.csv takes a really long
> time
> This is mainly because we try to convert a DataFrame to a List in order to
> parallelize it by rows and the conversion from DF to list is very slow for
> large data frames.
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