Spark读取csv转为Array[Map(String,String)]格式

工作中碰到需要代码如下：

val spark: SparkSession = SparkSession.builder().appName("test1").master("local[*]") getOrCreate()
    val data: Dataframe = spark.read.csv("328061757452.csv")
    val dataArrayRow: Array[Row] = data.collect()
    val nameArray: Array[String] = dataArrayRow(0).toString().split(",")
    val dataArrayMap: ArrayBuffer[Map[String, String]] = new ArrayBuffer[Map[String, String]]()

    for(i <-1 until   dataArrayRow.size){
      val currMap: mutable.Map[String, String] = mutable.Map[String, String]()
      for(j <-0 until  dataArrayRow(i).size){
        val currDataArray: Array[String] = dataArrayRow(i).toString().split(",")
        println(currDataArray.size)
        println(j)
        currMap+=(nameArray(j)->currDataArray(j))
      }
      dataArrayMap+=currMap.toMap
    }
    println(dataArrayMap)