Hello Question regarding the new DataFrame API introduced here https://databricks.com/blog/2015/02/17/introducing-dataframes-in-spark-for-large-scale-data-science.html
I oftentimes use the zipWithUniqueId method of the SchemaRDD (as an RDD) to replace string keys with more efficient long keys. Would it be possible to use the same method in the new DataFrame class? It looks like unlike the SchemaRdd DataFrame does not extend RDD Thanks Dima -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/DataFrame-Enable-zipWithUniqueId-tp21733.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
