我从来没有按你的要求做过，但你可能会在gora教程的“构建工作”部分看到答案。这里有一个减速机配置的例子，上面说：

/* Mappers are initialized with GoraMapper.initMapper() or 
 * GoraInputFormat.setInput()*/
GoraMapper.initMapperJob(job, inStore, TextLong.class, LongWritable.class
    , LogAnalyticsMapper.class, true);

/* Reducers are initialized with GoraReducer#initReducer().
 * If the output is not to be persisted via Gora, any reducer 
 * can be used instead. */
GoraReducer.initReducerJob(job, outStore, LogAnalyticsReducer.class);

然后，不用 GoraReducer.initReducerJob() 您只需配置自己的减速机，如下链接所示（如果答案正确）：

GoraMapper.initMapperJob(job, inStore, TextLong.class, LongWritable.class
    , LogAnalyticsMapper.class, true);
job.setOutputFormatClass(MultiTableOutputFormat.class);
job.setReducerClass(MyReducer.class);
job.setNumReduceTasks(2);
TableMapReduceUtil.addDependencyJars(job);
TableMapReduceUtil.addDependencyJars(job.getConfiguration());

要知道在前面的示例中，Map器发出 (TextLong, LongWritable) 键值，所以你的减速机应该是这样的，从你写的链接和答案：

public class MyReducer extends TableReducer<TextLong, LongWritable, Put> {

    private static final Logger logger = Logger.getLogger( MyReducer.class );

    @SuppressWarnings( "deprecation" )
    @Override
    protected void reduce( TextLong key, Iterable<LongWritable> data, Context context ) throws IOException, InterruptedException {
        logger.info( "Working on ---> " + key.toString() );
        for ( Result res : data ) {
            Put put = new Put( res.getRow() );
            KeyValue[] raw = res.raw();
            for ( KeyValue kv : raw ) {
                put.add( kv );
            }

        ImmutableBytesWritable key = new ImmutableBytesWritable(Bytes.toBytes("tableName"));
        context.write(key, put);    

        }
    }
}

再说一次，我从来没有这样做过。。。所以也许行不通：\