Sorting 带元组的Spark重分区和SortWithinPartition

我尝试按照以下示例对hbase行进行分区：

但是，我已经在（String，String，String）中存储了数据，其中第一个是行键，第二个是列名，第三个是列值

我尝试编写隐式排序来实现OrderedRDD隐式

 implicit val caseInsensitiveOrdering: Ordering[(String, String, String)] = new Ordering[(String, String, String)] {
    override def compare(x: (String, String, String), y: (String, String, String)): Int = ???
  }

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但是重新分区和SortWithinPartitions仍然不可用。有什么方法可以将此方法用于此元组吗？

RDD必须具有键和值，而不仅仅是值，例如：

val data = List((("5", "6", "1"), (1)))
val rdd : RDD[((String, String, String), Int)] = sparkContext.parallelize(data)
implicit val caseInsensitiveOrdering = new Ordering[(String, String, String)] {
  override def compare(x: (String, String, String), y: (String, String, String)): Int = 1
}
rdd.repartitionAndSortWithinPartitions(..)

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RDD必须有键和值，而不仅仅是值，例如：

val data = List((("5", "6", "1"), (1)))
val rdd : RDD[((String, String, String), Int)] = sparkContext.parallelize(data)
implicit val caseInsensitiveOrdering = new Ordering[(String, String, String)] {
  override def compare(x: (String, String, String), y: (String, String, String)): Int = 1
}
rdd.repartitionAndSortWithinPartitions(..)