class RowDecoder[T <: Product] extends Serializable
Spark row to case class Decoder. This can be used for example in UDF's with struct parameters, which are mapped as Row in Spark 2.x (Spark 3.x supports case classes as parameters directly) If you have to decode multiple rows (like in a UDF) it's important to instantiate the RowDecoder only once (outside the UDF) and reuse it for all rows.
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the case class to be produced
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- new RowDecoder()(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T])
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- def convert(row: Row): T
Decode Spark row to case class
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