将 Spark org.apache.spark.mllib.linalg.Matrix 保存到文件 [英] Save Spark org.apache.spark.mllib.linalg.Matrix to a file

问题描述

Spark MLLib 中的相关结果是 org.apache.spark.mllib.linalg.Matrix 类型.(参见 http://spark.apache.org/docs/1.2.1/mllib-statistics.html#correlations)

The result of correlation in Spark MLLib is a of type org.apache.spark.mllib.linalg.Matrix. (see http://spark.apache.org/docs/1.2.1/mllib-statistics.html#correlations)

val data: RDD[Vector] = ... 

val correlMatrix: Matrix = Statistics.corr(data, "pearson")

我想将结果保存到文件中.我该怎么做?

I would like to save the result into a file. How can I do this?

推荐答案

这里有一个简单有效的方法，可以将 Matrix 保存到 hdfs 并指定分隔符.

Here is a simple and effective approach to save the Matrix to hdfs and specify the separator.

(使用转置是因为 .toArray 是列主要格式.)

(The transpose is used since .toArray is in column major format.)

val localMatrix: List[Array[Double]] = correlMatrix
    .transpose  // Transpose since .toArray is column major
    .toArray
    .grouped(correlMatrix.numCols)
    .toList

val lines: List[String] = localMatrix
    .map(line => line.mkString(" "))

sc.parallelize(lines)
    .repartition(1)
    .saveAsTextFile("hdfs:///home/user/spark/correlMatrix.txt")

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