As far as I know the null support was removed from the Table API because its support was consistently supported with all operations. See https://issues.apache.org/jira/browse/FLINK-2236
On Fri, Oct 23, 2015 at 7:20 PM, Shiti Saxena <ssaxena....@gmail.com> wrote: > 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 >>> >>> >> >
