编写一个HBase的MapReduce配置程序。

好的，以下是一个简单的HBase的MapReduce配置程序的示例代码：

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.util.GenericOptionsParser;

import java.io.IOException;

public class HBaseMapReduceExample {

    public static class MyMapper extends Mapper<ImmutableBytesWritable, Text, Text, IntWritable> {
        private final static IntWritable one = new IntWritable(1);
        private Text word = new Text();

        public void map(ImmutableBytesWritable key, Text value, Context context) throws IOException, InterruptedException {
            String line = value.toString();
            String[] words = line.split(",");
            for (String w : words) {
                word.set(w);
                context.write(word, one);
            }
        }
    }

    public static class MyTableReducer extends TableReducer<Text, IntWritable, ImmutableBytesWritable> {
        public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
            int sum = 0;
            for (IntWritable val : values) {
                sum += val.get();
            }
            context.write(new ImmutableBytesWritable(Bytes.toBytes(key.toString())), new ImmutableBytesWritable(Bytes.toBytes(Integer.toString(sum))));
        }
    }

    public static void main(String[] args) throws Exception {
        Configuration conf = HBaseConfiguration.create();
        String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
        if (otherArgs.length != 1) {
            System.err.println("Usage: HBaseMapReduceExample <tablename>");
            System.exit(2);
        }
        String tableName = otherArgs[0];
        Scan scan = new Scan();
        Job job = Job.getInstance(conf, "HBaseMapReduceExample");
        job.setJarByClass(HBaseMapReduceExample.class);
        TableMapReduceUtil.initTableMapperJob(tableName, scan, MyMapper.class, Text.class, IntWritable.class, job);
        TableMapReduceUtil.initTableReducerJob(tableName, MyTableReducer.class, job);
        System.exit(job.waitForCompletion(true) ? 0 : 1);
    }
}

这个程序实现了一个简单的词频统计功能，从 HBase 表中读取数据，将每个单词作为键，出现次数作为值，最终将结果写回 HBase 表中。

需要注意的是，程序中的 `MyMapper` 和 `MyTableReducer` 分别是 Mapper 和 Reducer 的实现类，需要根据实际场景进行修改。同时，程序中的 `tableName` 变量需要替换成实际使用的 HBase 表名。