如何在Scala/Spark中打印RowMatrix？

import org.apache.spark.mllib.linalg.distributed.RowMatrix
import org.apache.spark.sql.SparkSession

val spark = SparkSession.builder()
  .appName("Print RowMatrix")
  .master("local")
  .getOrCreate()

val rows = Seq(
  Vectors.dense(1.0, 2.0, 3.0),
  Vectors.dense(4.0, 5.0, 6.0),
  Vectors.dense(7.0, 8.0, 9.0)
)
val rdd = spark.sparkContext.parallelize(rows)
val rowMatrix = new RowMatrix(rdd)

val rowArray = rowMatrix.rows.collect()

rowArray.foreach(row => println(row))

import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.linalg.distributed.RowMatrix
import org.apache.spark.sql.SparkSession

object PrintRowMatrix {
  def main(args: Array[String]): Unit = {
    val spark = SparkSession.builder()
      .appName("Print RowMatrix")
      .master("local")
      .getOrCreate()

    val rows = Seq(
      Vectors.dense(1.0, 2.0, 3.0),
      Vectors.dense(4.0, 5.0, 6.0),
      Vectors.dense(7.0, 8.0, 9.0)
    )
    val rdd = spark.sparkContext.parallelize(rows)
    val rowMatrix = new RowMatrix(rdd)

    val rowArray = rowMatrix.rows.collect()

    rowArray.foreach(row => println(row))
  }
}