Spark map与mapPartitions算子源码级深度解析 一、核心源码结构差异 1. map算子实现逻辑 def map[U: ClassTag](f: T => U): RDD[U] = withScope {val cleanF = sc.clean(f)new MapPartitionsRDD[U, T](this, (context, pid, iter) => iter.map(cleanF)) } 实现特征: 传入函数f类型为T => U,处理单个元素底层创建MapPartitionsRDD时,通过iter.map(clean