Github user marmbrus commented on a diff in the pull request:

    https://github.com/apache/spark/pull/5279#discussion_r27836865
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala 
---
    @@ -94,11 +178,95 @@ trait ScalaReflection {
         case (other, _) => other
       }
     
    +  /**
    +   * Creates a converter function that will convert Catalyst types to 
Scala type.
    +   */
    +  private[sql] def createScalaConverter(dataType: DataType): Any => Any = 
dataType match {
    +    // Check UDT first since UDTs can override other types
    +    case udt: UserDefinedType[_] =>
    +      (item: Any) => udt.deserialize(item)
    +
    +    case arrayType: ArrayType =>
    +      val elementConverter = createScalaConverter(arrayType.elementType)
    +      (item: Any) => item match {
    +        case s: Seq[_] => s.map(elementConverter)
    +        case other => other
    +      }
    +
    +    case mapType: MapType =>
    +      val keyConverter = createScalaConverter(mapType.keyType)
    +      val valueConverter = createScalaConverter(mapType.valueType)
    +      (item: Any) =>
    +        item match {
    +          case m: Map[_, _] => m.map { case (k, v) =>
    +            keyConverter(k) -> valueConverter(v)
    +          }
    +          case other => other
    +        }
    +
    +    case s: StructType =>
    +      val converters = createConvertersForStruct(s)
    +      (item: Any) =>
    +        item match {
    +          case r: Row => convertRowToScalaWithConverters(r, s, converters)
    +          case other => other
    +        }
    +
    +    case _: DecimalType =>
    +      (item: Any) => item match {
    +        case d: Decimal => d.toJavaBigDecimal
    +        case other => other
    +      }
    +
    +    case DateType =>
    +      (item: Any) => item match {
    +        case i: Int => DateUtils.toJavaDate(i)
    +        case other => other
    +      }
    +
    +    case other =>
    +      (item: Any) => item
    +  }
    +
       def convertRowToScala(r: Row, schema: StructType): Row = {
    -    // TODO: This is very slow!!!
    -    new GenericRowWithSchema(
    -      r.toSeq.zip(schema.fields.map(_.dataType))
    -        .map(r_dt => convertToScala(r_dt._1, r_dt._2)).toArray, schema)
    +    val ar = new Array[Any](r.size)
    +    var idx = 0
    +    while (idx < r.size) {
    +      ar(idx) = convertToScala(r(idx), schema.fields(idx).dataType)
    +      idx += 1
    +    }
    +    new GenericRowWithSchema(ar, schema)
    +  }
    +
    +  /**
    +   * Creates Catalyst->Scala converter functions for each field of the 
given StructType.
    +   */
    +  private[sql] def createConvertersForStruct(s: StructType): Array[Any => 
Any] = {
    +    val converters = new Array[Any => Any](s.length)
    +    val iter = s.fields.iterator
    +    var idx = 0
    +    while (iter.hasNext) {
    --- End diff --
    
    probably reasonable since this is not per-tuple


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