使用spark来模拟硬币正反面概率

作者: 奈文摩尔定律 | 来源:发表于2016-11-02 15:24 被阅读35次

object First { 
   def main(args: Array[String]): Unit = {
        val conf = new SparkConf().setAppName("Simple Application").setMaster("local") 
        val sc = new SparkContext(conf) 
        val times = 10000
            sc.parallelize(1 to times, 4).map{index=>(Random.nextBoolean(),1)}.reduceByKey(_+_).foreach(println)  }}

输出如下

(false,5054)
16/11/02 14:41:40 INFO Executor: Finished task 1.0 in stage 1.0 (TID 4). 1165 bytes result sent to driver
16/11/02 14:41:40 INFO TaskSetManager: Starting task 3.0 in stage 1.0 (TID 5, localhost, partition 3,NODE_LOCAL, 1894 bytes)
16/11/02 14:41:40 INFO Executor: Running task 3.0 in stage 1.0 (TID 5)
16/11/02 14:41:40 INFO TaskSetManager: Finished task 1.0 in stage 1.0 (TID 4) in 53 ms on localhost (1/4)
(true,4946)```
感觉使用函数式语言开发是未来