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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