Not yet. This is on the roadmap for Spark 1.4.
On Sun, Mar 22, 2015 at 12:19 AM, deenar.toraskar <deenar.toras...@db.com>
wrote:
> Hi
>
> I wanted to store DataFrames as partitioned Hive tables. Is there a way to
> do this via the saveAsTable call. The set of options does not seem to be
> documented.
>
> def
> saveAsTable(tableName: String, source: String, mode: SaveMode, options:
> Map[String, String]): Unit
> (Scala-specific) Creates a table from the the contents of this DataFrame
> based on a given data source, SaveMode specified by mode, and a set of
> options.
>
> Optionally is there a way to just create external hive tables for data that
> is already present on HDFS. something similar to
>
> sc.sql("alter table results add partition (date = '20141111');")
>
> Regards
> Deenar
>
>
>
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