I have to get the datatype and do a case match and convert it to some required format. But the usage of org.apache.spark.ml.linalg.VectorUDT
is showing Ve
For org.apache.spark.ml.linalg
types you should specify schema using org.apache.spark.ml.linalg.SQLDataTypes
which provide singleton instances of the private UDT types:
MatrixType for matrices (org.apache.spark.ml.linalg.Matrix
).
scala> org.apache.spark.ml.linalg.SQLDataTypes.MatrixType.getClass
res0: Class[_ <: org.apache.spark.sql.types.DataType] = class org.apache.spark.ml.linalg.MatrixUDT
VectorType for vectors (org.apache.spark.ml.linalg.Vector
).
scala> org.apache.spark.ml.linalg.SQLDataTypes.VectorType.getClass
res1: Class[_ <: org.apache.spark.sql.types.DataType] = class org.apache.spark.ml.linalg.VectorUDT