/**

  *saveastextfile 把rdd中的数据保存到文件中,只能指定文件夹

  *@author Tele

  *

  */

 public class SaveasTextFileDemo1 {

     private static SparkConf conf = new SparkConf().setMaster("local").setAppName("saveastextfiledemo1");

     private static JavaSparkContext jsc = new JavaSparkContext(conf);

     public static void main(String[] args) {

         List<Tuple2<String,Integer>> list = Arrays.asList(

                 new Tuple2<String,Integer>("tele",100),

                 new Tuple2<String,Integer>("tele",200),

                 new Tuple2<String,Integer>("tele",300),

                 new Tuple2<String,Integer>("yeye",50),

                 new Tuple2<String,Integer>("yeye",10),

                 new Tuple2<String,Integer>("yeye",70),

                 new Tuple2<String,Integer>("wyc",10000)

                  );

         JavaPairRDD<String, Integer> rdd = jsc.parallelizePairs(list);

         //保存到本地

         rdd.saveAsTextFile("./src/main/resources/local");

         jsc.close();

     }

 }

 object SaveasTextFileDemo {

     def main(args: Array[String]): Unit = {

       val conf = new SparkConf().setMaster("local").setAppName("saveastextfiledemo");

       val sc = new SparkContext(conf);

       val arr = Array(("class1","tele"),("class1","yeye"),("class2","wyc"));

       val rdd = sc.parallelize(arr,1);

       rdd.saveAsTextFile("./src/main/resources/myfile")

     }

 }