Are there any intentions to provide first class support for CSV files as one of the loadable file types in SparkR? Data brick’s spark-csv API [1] has support for SQL, Python, and Java/Scala, and implements most of the arguments of R’s read.table API [2], but currently there is no way to load CSV data in SparkR (1.4.0) besides separating our headers from the data, loading into an RDD, splitting by our delimiter, and then converting to a SparkR Data Frame with a vector of the columns gathered from the header.
Regards, Alek Eskilson [1] -- https://github.com/databricks/spark-csv [2] -- http://www.inside-r.org/r-doc/utils/read.table CONFIDENTIALITY NOTICE This message and any included attachments are from Cerner Corporation and are intended only for the addressee. The information contained in this message is confidential and may constitute inside or non-public information under international, federal, or state securities laws. Unauthorized forwarding, printing, copying, distribution, or use of such information is strictly prohibited and may be unlawful. If you are not the addressee, please promptly delete this message and notify the sender of the delivery error by e-mail or you may call Cerner's corporate offices in Kansas City, Missouri, U.S.A at (+1) (816)221-1024.
