hdfs中的Java加载序列文件为JavaRDD <Vector>

Question

I have the following method to write file to HDFS

public void writePointsToFile(Path path, FileSystem fs, Configuration conf,
        List<Vector> points) throws IOException {

    SequenceFile.Writer writer = SequenceFile.createWriter(conf,
            Writer.file(path), Writer.keyClass(LongWritable.class),
            Writer.valueClass(Vector.class));

    long recNum = 0;

    for (Vector point : points) {
        writer.append(new LongWritable(recNum++), point);
    }
    writer.close();
}

I need to know how to read this file as JavaRDD<Vector> to be used in Spark Clustering K-mean ?

Answer 1

The typical pattern with Spark is to transform immutable objects into new ones so transforming a DRM (Mahout distributed row matrix) or collections of Mahout Vectors is the way you should do this. So not sure what you are asking.