Nested Complex Type Data Parsing and Transforming to table

[luohui20001]

Hi 
       I got a problem when reading a textfile which contains nested complex 
type data and got a type unmatch problem.Any hint will be appreciated.
       The problem take place at "map(s => s.map"  as "type mismatch;  found   
: scala.collection.immutable.IndexedSeq[Array[com.redhadoop.bean.StructField1]] 
 required: Seq[com.redhadoop.bean.StructField1]"
 
     here is my code：
 
    import sqlContext.createSchemaRDD
    
    val ultraComplexTextfile = 
spark.textFile("/examples/src/main/resources/aggrnew.text").map(_.split("\001")).map(p
 => UltraComplexTextFileTable(
      p(0).trim.toInt,
      p(1).trim.map(_.toString.split("\002")).map(s => 
s.map(_.toString.split("\003")).map(t => StructField1(
        t(0).toString.trim.toInt - 48,
        t(1).toString.trim.toInt - 48,
        t(2).toString.trim.toInt - 48,
        t(3).toString.trim.toInt - 48,
        t(4).toString.trim.toInt - 48,
        t(5).toString.trim.toFloat - 48,
        t(6).toString.trim.toFloat - 48,
        t(7).toString.trim.toFloat - 48
        ))
          ),
          
      p(2))
      )  

and my case class below:
case class UltraComplexTextFileTable (
    frameid:Int,
    detaillist:Seq[StructField1],
    frame:String
)
 
case class StructField1(
    targetNum:Int,
    x:Int,
    y:Int,
    width:Int,
    height:Int,
    HM:Float,
    HS:Float,
    HT:Float
)
 

 
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Thanks&Best regards!
San.Luo
Redhadoop