Question

我尝试打印RDD RDD[(String,List[(String,String)])]的内容：

val sc = new SparkContext(conf)
val splitted = rdd.map(line => line.split(","))
val processed = splitted.map(x=>(x(1),List((x(0),x(2),x(3),x(4)))))
val grouped = processed.reduceByKey((x,y) => (x ++ y))
System.out.println(grouped)

然而，不是得到我看到的内容：

ShuffledRDD[4] at reduceByKey at Consumer.scala:88

更新：

TXT文件的内容：

100001082016,230,111,1,1 
100001082016,121,111,1,1
100001082016,110,111,1,1

更新2（整个代码）：

class Consumer()
{

def run() = {
    val conf = new SparkConf()
                              .setAppName("TEST")
                              .setMaster("local[*]") 
    val sc = new SparkContext(conf)
    val rdd = sc.textFile("file:///usr/test/myfile.txt")
    val splitted = rdd.map(line => line.split(","))
    val processed = splitted.map(x=>(x(1),List((x(0),x(2),x(3),x(4)))))
    val grouped = processed.reduceByKey((x,y) => (x ++ y))
    System.out.println(grouped)
}

}

Answer 1

这里没有问题：

scala> val rdd = sc.parallelize(Seq("100001082016,230,111,1,1","100001082016,121,111,1,1","100001082016,110,111,1,1"))
// rdd: org.apache.spark.rdd.RDD[String] = ParallelCollectionRDD[0] at parallelize at <console>:27

scala> val splitted = rdd.map(line => line.split(","))
// splitted: org.apache.spark.rdd.RDD[Array[String]] = MapPartitionsRDD[1] at map at <console>:29

scala> val processed = splitted.map(x=>(x(1),List((x(0),x(2),x(3),x(4)))))
// processed: org.apache.spark.rdd.RDD[(String, List[(String, String, String, String)])] = MapPartitionsRDD[2] at map at <console>:31

scala> val grouped = processed.reduceByKey((x,y) => (x ++ y))
// grouped: org.apache.spark.rdd.RDD[(String, List[(String, String, String, String)])] = ShuffledRDD[3] at reduceByKey at <console>:33

scala> grouped.collect().foreach(println)
// (121,List((100001082016,111,1,1)))
// (110,List((100001082016,111,1,1)))
// (230,List((100001082016,111,1,1)))

以下是错误的。它按预期工作，但您必须正确理解语言以了解所期望的内容：

scala> System.out.println(grouped)
// ShuffledRDD[3] at reduceByKey at <console>:33

编辑：为了清楚起见，如果您想要打印一个集合，您需要使用可用于打印的集合的mkString方法将其转换为格式你想要的。

无法打印RDD的内容

1 个答案: