ema.
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,
D
t; 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
>
>
>
>
>
> H
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:sp
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
-