Class

org.apache.spark.sql.custom

RowDecoder

Related Doc: package custom

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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.

T

the case class to be produced

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Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new RowDecoder()(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T])

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Value Members

  1. final def !=(arg0: Any): Boolean

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    AnyRef → Any

  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

  6. def convert(row: Row): T

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    Decode Spark row to case class

  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. final def ne(arg0: AnyRef): Boolean

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. final def synchronized[T0](arg0: ⇒ T0): T0

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  17. def toString(): String

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  18. final def wait(): Unit

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    @throws( ... )

  19. final def wait(arg0: Long, arg1: Int): Unit

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  20. final def wait(arg0: Long): Unit

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Inherited from Serializable

Inherited from Serializable

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