rdd没有reduceByKey的方法

写Spark代码的时候经常发现rdd没有reduceByKey的方法，这个发生在spark1.2及其以前对版本，因为rdd本身不存在reduceByKey的方法，需要隐式转换成PairRDDFunctions才能访问，因此需要引入Import org.apache.spark.SparkContext._。

不过到了spark1.3的版本后，隐式转换的放在rdd的object中，这样就会自动被引入，不需要显式引入。

 * Defines implicit functions that provide extra functionalities on RDDs of specific types. * For example, `RDD`.`rddToPairRDDFunctions` converts an RDD into a `PairRDDFunctions` for * key-value-pair RDDs, and enabling extra functionalities such as `PairRDDFunctions`.`reduceByKey`.*/object RDD {  // The following implicit functions were in SparkContext before 1.3 and users had to  // `import SparkContext._` to enable them. Now we move them here to make the compiler find  // them automatically. However, we still keep the old functions in SparkContext for backward  // compatibility and forward to the following functions directly.  implicit def rddToPairRDDFunctions[K, V](rdd: RDD[(K, V)])    (implicit kt: ClassTag[K], vt: ClassTag[V], ord: Ordering[K] = null): PairRDDFunctions[K, V] = {    new PairRDDFunctions(rdd)  }

至于什么是隐式转换，简单来讲就是scala偷梁换柱换柱，让隔壁老王来干你干不了的事情了。