- use .cast("...").alias('...') after the DataFrame is read. - sql.functions.udf for any domain-specific conversions.
Cheers <k/> On Wed, Jul 1, 2015 at 11:03 AM, Hafiz Mujadid <hafizmujadi...@gmail.com> wrote: > Hi experts! > > > I am using spark-csv to lead csv data into dataframe. By default it makes > type of each column as string. Is there some way to get dataframe of actual > types like int,double etc.? > > > Thanks > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/making-dataframe-for-different-types-using-spark-csv-tp23570.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 > >