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我正在编写一个 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），因为我计划采用多个数据源。我写了一个非常简单的 MR 程序（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。

这是完整的源代码：有趣的是：如果我注释掉多输入行“MultipleInputs.addInputPath(job, inputPath1, TextInputFormat.class, TableMap.class);”，MR 作业运行良好。

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);
}

}

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1 回答 1

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我得到了答案：在以下语句中：将 TextInputFormat.class 替换为 TableInputFormat.class

MultipleInputs.addInputPath(job, inputPath1, TextInputFormat.class, TableMap.class);

于 2013-07-12T15:50:49.993 回答