因此，我对spark和scala还比较陌生，根据我的理解，您应该能够将闭包传递到map函数中，并让它修改值，不管我得到的是什么 Task not serializable 尝试此操作时出错。
我的代码如下：

// Spark Context
val sparkContext = spark.sparkContext
val random = scala.util.Random

// RDD Initialization
val array = Seq.fill(500)(random.nextInt(51))
val RDD = sc.parallelize(array)

// Spark Operations for Count, Sum, and Mean
var count = RDD.count()
var sum = RDD.reduce(_+_)
val mean = sum / count;

//Output Count, Sum, and Mean
println("Count: " + count)
println("Sum: " + sum)
println("Mean: " + mean)

val difference = (x:Int) => {x - mean}

var differences = RDD.map(difference)

任何帮助都将不胜感激