Spark中使用HanLP分词

1.将HanLP的data(包含词典和模型)放到hdfs上，然后在项目配置文件hanlp.properties中配置root的路径，比如： 

root=hdfs://localhost:9000/tmp/

2.实现com.hankcs.hanlp.corpus.io.IIOAdapter接口：

    public static class HadoopFileIoAdapter implements IIOAdapter {

        @Override

        public InputStream open(String path) throws IOException {

            Configuration conf = new Configuration();

            FileSystem fs = FileSystem.get(URI.create(path), conf);

            return fs.open(new Path(path));

        }

        @Override

        public OutputStream create(String path) throws IOException {

            Configuration conf = new Configuration();

            FileSystem fs = FileSystem.get(URI.create(path), conf);

            OutputStream out = fs.create(new Path(path));

            return out;

        }

    }

3.设置IoAdapter，创建分词器：

private static Segment segment;

static {

    HanLP.Config.IOAdapter = new HadoopFileIoAdapter();

    segment = new CRFSegment();

}

然后，就可以在Spark的操作中使用segment进行分词了。

文章来源于云聪的博客