我正在写一个mr作业，它将hbase表作为输入并转储到hdfs文件。我使用multipleinputs类（来自hadoop），因为我计划获取多个数据源。我编写了一个非常简单的mr程序（参见下面的源代码）。不幸的是，我遇到了以下错误：
java.lang.classcastexception:org.apache.hadoop.io.longwritable不能转换为org.apache.hadoop.hbase.io.immutablebyteswritable
我在伪分布式hadoop（1.2.0）和伪分布式hbase（0.95.1-hadoop1）上运行。
下面是完整的源代码：有趣的是：如果我注解掉multipleinputs行“multipleinputs.addinputpath（job，inputpath1，textinputformat.class，tablemap.class）；”，先生的工作很顺利。

public class MixMR {

public static class TableMap extends TableMapper<Text, Text>  {
    public static final byte[] CF = "cf".getBytes();
    public static final byte[] ATTR1 = "c1".getBytes();

    public void map(ImmutableBytesWritable row, Result value, Context context) throws IOException, InterruptedException {

        String key = Bytes.toString(row.get());
        String val = new String(value.getValue(CF, ATTR1));

        context.write(new Text(key), new Text(val));
    }
}

public static class Reduce extends Reducer  <Object, Text, Object, Text> {
    public void reduce(Object key, Iterable<Text> values, Context context)
            throws IOException, InterruptedException {
        String ks = key.toString();
        for (Text val : values){
            context.write(new Text(ks), val);
        }

    }
}

public static void main(String[] args) throws Exception {
    Path inputPath1 = new Path(args[0]);
    Path outputPath = new Path(args[1]);

    String tableName1 = "test";

    Configuration config = HBaseConfiguration.create();
    Job job = new Job(config, "ExampleRead");
    job.setJarByClass(MixMR.class);     // class that contains mapper

    Scan scan = new Scan();
    scan.setCaching(500);        // 1 is the default in Scan, which will be bad for MapReduce jobs
    scan.setCacheBlocks(false);  // don't set to true for MR jobs
    scan.addFamily(Bytes.toBytes("cf"));

    TableMapReduceUtil.initTableMapperJob(
            tableName1,        // input HBase table name
              scan,             // Scan instance to control CF and attribute selection
              TableMap.class,   // mapper
              Text.class,             // mapper output key
              Text.class,             // mapper output value
              job);
    job.setReducerClass(Reduce.class);    // reducer class
    job.setOutputFormatClass(TextOutputFormat.class);  

    // inputPath1 here has no effect for HBase table
    MultipleInputs.addInputPath(job, inputPath1, TextInputFormat.class, TableMap.class);

    FileOutputFormat.setOutputPath(job, outputPath);

    job.waitForCompletion(true);
}

}