For a similar problem where we wanted to preserve and track null entries, we load the CSV as a DataSet[Array[Object]] and then transform it into DataSet[Row] using a custom RowSerializer( https://gist.github.com/Shiti/d0572c089cc08654019c) which handles null.
The Table API(which supports null) can then be used on the resulting DataSet[Row]. On Fri, Oct 23, 2015 at 7:40 PM, Maximilian Michels <m...@apache.org> wrote: > Hi Guido, > > This depends on your use case but you may read those values as type String > and treat them accordingly. > > Cheers, > Max > > On Fri, Oct 23, 2015 at 1:59 PM, Guido <gmazza...@gmail.com> wrote: > >> Hello, >> I would like to ask if there were any particular ways to read or treat >> null (e.g. Name, Lastname,, Age..) value in a dataset using readCsvFile, >> without being forced to ignore them. >> >> Thanks for your time. >> Guido >> >> >
