le has to be re-assigned to reference a column in the new
DataFrame.
From: Devesh Raj Singh [mailto:raj.deves...@gmail.com]
Sent: Saturday, February 6, 2016 8:31 PM
To: Sun, Rui <rui@intel.com>
Cc: user@spark.apache.org
Subject: Re: different behavior while using createDataFrame and read.d
o:raj.deves...@gmail.com]
> *Sent:* Friday, February 5, 2016 2:44 PM
> *To:* user@spark.apache.org
> *Cc:* Sun, Rui
> *Subject:* different behavior while using createDataFrame and read.df in
> SparkR
>
>
>
>
> Hi,
>
>
>
> I am using Spark 1.5.1
>
>
>
: Devesh Raj Singh [mailto:raj.deves...@gmail.com]
Sent: Friday, February 5, 2016 2:44 PM
To: user@spark.apache.org
Cc: Sun, Rui
Subject: different behavior while using createDataFrame and read.df in SparkR
Hi,
I am using Spark 1.5.1
When I do this
df <- createDataFrame(sqlContext, i
Hi,
I am using Spark 1.5.1
When I do this
df <- createDataFrame(sqlContext, iris)
#creating a new column for category "Setosa"
df$Species1<-ifelse((df)[[5]]=="setosa",1,0)
head(df)
output: new column created
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1 5.1
