No, the UDT API is not a public API as we have not stabilized the implementation. For this reason its only accessible to projects inside of Spark.
On Fri, Mar 6, 2015 at 8:25 AM, Jaonary Rabarisoa <jaon...@gmail.com> wrote: > Hi Cesar, > > Yes, you can define an UDT with the new DataFrame, the same way that > SchemaRDD did. > > Jaonary > > On Fri, Mar 6, 2015 at 4:22 PM, Cesar Flores <ces...@gmail.com> wrote: > >> >> The SchemaRDD supports the storage of user defined classes. However, in >> order to do that, the user class needs to extends the UserDefinedType >> interface >> (see for example VectorUDT in org.apache.spark.mllib.linalg). >> >> My question is: Do the new Data Frame Structure (to be released in spark >> 1.3) will be able to handle user defined classes too? Do user classes will >> need to extend they will need to define the same approach? >> >> >> -- >> Cesar Flores >> > >
