如何分配值到flatMap斯卡拉 - 星火一件轻而易举的矩阵？ [英] How to assign value into a breeze Matrix in flatMap Scala-Spark?

问题描述

我要初始化使用flatMap数据矩阵，这是我的数据：

i want to initialize a matrix using data in flatMap , this is my data:

-4,0,1.0 ### horrible . not-work install dozen scanner umax ofcourse . tech-support everytime call . fresh install work error . crummy product crummy tech-support crummy experience .
2,1,1.0 ### scanner run . grant product run windows . live fact driver windows lose performance . setup program alert support promptly quits . amazon . website product package requirement listing compatible windows .
1,2,1.0 ### conversion kit spare battery total better stick versionand radio blow nimh charger battery . combination operation size nimh battery . motorola kit . rechargable battery available flashlight camera game toy .
-4,3,1.0 ### recieive part autowinder catch keep place sudden break . hold listen music winder wind . extremely frustrated fix pull little hard snap half . flush drain .

这是我的code：

and this is my code:

val spark_context = new SparkContext(conf)
 val data = spark_context.textFile(Input)
 val Gama=DenseMatrix.zeros[Double](4,2)
 var gmmainit = data.flatMap(line => {
   val tuple = line.split("###")
   val ss = tuple(0)
   val re = """^(-?\d+)\s*,\s*(\d+)\s*,\s*(\d+).*$""".r
   val re(n1, n2, n3) = ss // pattern match and extract values

   if (n1.toInt >= 0) {
     Gama(n2.toInt, 0) += 1
   }
   if (n1.toInt < 0) {
     Gama(n2.toInt, 1) += 1
   }
 })

 println(Gama)

，但它并没有改变伽马矩阵

but it doesn't change Gama matrix,

如何修改我的code来解决这个问题？

how can i modify my code to solve this problem?

推荐答案

所有code的起始甚至不会编译。如果你看看在 flatMap 签名：

First of all your code won't even compile. If you take a look at the flatMap signature:

flatMap[U](f: T => TraversableOnce[U])

你会看到它从 T 映射到 TraversableOnce [U] 。由于 DenseMatrix 收益的更新方法单位您使用功能类型字符串=＆GT;单位和单位不是 TraversableOnce 。

you'll see it maps from T to TraversableOnce[U]. Since update method of DenseMatrix returns Unit function you use is of type String => Unit and Unit is not TraversableOnce.

此外，由于已经贾斯汀解释说，每个分区获取引用变量的本地副本关闭和只拷贝被修改。

Moreover, as already explained by Justin, each partition gets its own local copy of the variables referenced in a closure and only that copy is modified.

就可以解决这个问题的方法是这样的：

One way can you solve this problem is something like this:

val gmmainit = data.mapPartitions(iter => {
  val re = """^(-?\d+)\s*,\s*(\d+)\s*,\s*(\d+).*$""".r
  val gama = DenseMatrix.zeros[Double](4,2)
  iter.foreach{
    case re(n1, n2, n3) =>  gama(n2.toInt, if(n1.toInt >= 0) 0 else 1) += 1
    case _ =>
  }
  Iterator(gama)
}).reduce(_ + _)

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