Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/17568#discussion_r111561852
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/objects.scala
 ---
    @@ -96,3 +99,32 @@ object CombineTypedFilters extends Rule[LogicalPlan] {
         }
       }
     }
    +
    +/**
    + * Removes MapObjects when the following conditions are satisfied
    + *   1. Mapobject(e) where e is lambdavariable(), which means types for 
input output
    + *      are primitive types
    + *   2. no custom collection class specified
    + * representation of data item.  For example back to back map operations.
    + */
    +object EliminateMapObjects extends Rule[LogicalPlan] {
    +  private def convertDataTypeToArrayClass(dt: DataType): Class[_] = dt 
match {
    +    case IntegerType => classOf[Array[Int]]
    +    case LongType => classOf[Array[Long]]
    +    case DoubleType => classOf[Array[Double]]
    +    case FloatType => classOf[Array[Float]]
    +    case ShortType => classOf[Array[Short]]
    +    case ByteType => classOf[Array[Byte]]
    +    case BooleanType => classOf[Array[Boolean]]
    +  }
    +
    +  def apply(plan: LogicalPlan): LogicalPlan = plan transform {
    +    case _ @ DeserializeToObject(_ @ Invoke(
    --- End diff --
    
    ```
    case MapObjects(_, _, _, _: LambdaVariable, inputData, None, _) => inputData
    ```
    can this work?


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