Spark RDD将一行数据映射到多行 [英] Spark RDD mapping one row of data into multiple rows

问题描述

我有一个文本文件，其数据如下所示:

I have a text file with data that look like this:

Type1 1 3 5 9
Type2 4 6 7 8
Type3 3 6 9 10 11 25

我想将其转换为具有以下行的RDD:

I'd like to transform it into an RDD with rows like this:

1 Type1
3 Type1
3 Type3
......

我从一个案例类开始:

MyData[uid : Int, gid : String]

spark和scala的新手，我似乎找不到一个执行此操作的示例.

New to spark and scala, and I can't seem to find an example that does this.

推荐答案

似乎您想要这样的东西?

It seems you want something like this?

rdd.flatMap(line=>{
  val splitLine = line.split(' ').toList
  splitLine match{
    case (gid:String) :: rest => rest.map(x:String =>MyData(x.toInt, gid))
  }
}

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