spark action之saveastextfile

java

 /**
  *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();
     }
 }

scala

 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")

     }
 }