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 -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/DataFrame-saveAsTable-partitioned-tables-tp22173.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org