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
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
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