You could also rename them with names Unfortunately the API doesn't show the example of that https://spark.apache.org/docs/latest/api/R/index.html
On Thu, Aug 20, 2015 at 7:43 PM -0700, "Sun, Rui" <rui....@intel.com> wrote: Hi, You can create a DataFrame using load.df() with a specified schema. Something like: schema <- structType(structField(“a”, “string”), structField(“b”, integer), …) read.df ( …, schema = schema) From: Franc Carter [mailto:franc.car...@rozettatech.com] Sent: Wednesday, August 19, 2015 1:48 PM To: user@spark.apache.org Subject: SparkR csv without headers Hi, Does anyone have an example of how to create a DataFrame in SparkR which specifies the column names - the csv files I have do not have column names in the first row. I can get read a csv nicely with com.databricks:spark-csv_2.10:1.0.3, but I end up with column names C1, C2, C3 etc thanks -- Franc Carter I Systems Architect I RoZetta Technology [Description: Description: Description: cid:image003.jpg@01D02903.9B540580] L4. 55 Harrington Street, THE ROCKS, NSW, 2000 PO Box H58, Australia Square, Sydney NSW, 1215, AUSTRALIA T +61 2 8355 2515<tel:%2B61%202%208355%202515> I www.rozettatechnology.com<http://www.rozettatechnology.com/> [cid:image002.jpg@01D02903.0B41B280] DISCLAIMER: The contents of this email, inclusive of attachments, may be legally privileged and confidential. Any unauthorised use of the contents is expressly prohibited.
