在 hbase mapreduce 中传递 Delete 或 Put 错误

I am getting below Error while running mapreduce on hbase:

java.io.IOException: Pass a Delete or a Put
    at org.apache.hadoop.hbase.mapreduce.TableOutputFormat$TableRecordWriter.write(TableOutputFormat.java:125)
    at org.apache.hadoop.hbase.mapreduce.TableOutputFormat$TableRecordWriter.write(TableOutputFormat.java:84)
    at org.apache.hadoop.mapred.MapTask$NewDirectOutputCollector.write(MapTask.java:639)
    at org.apache.hadoop.mapreduce.TaskInputOutputContext.write(TaskInputOutputContext.java:80)
    at HBaseImporter$InnerMap.map(HBaseImporter.java:61)
    at HBaseImporter$InnerMap.map(HBaseImporter.java:1)
    at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144)
    at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)
    at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370)
    at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:212)
12/11/27 16:16:50 INFO mapred.JobClient:  map 0% reduce 0%
12/11/27 16:16:50 INFO mapred.JobClient: Job complete: job_local_0001
12/11/27 16:16:50 INFO mapred.JobClient: Counters: 0

代码:

public class HBaseImporter extends Configured implements Tool  {    
    public static class InnerMap extends
TableMapper<Text, IntWritable> {
    IntWritable one = new IntWritable();

    public void map(ImmutableBytesWritable row, Result value, Context context) throws IOException, InterruptedException {
    String val = new String(value.getValue(Bytes.toBytes("cf"), Bytes.toBytes("line")));
    String[] words = val.toString().split(" ");
        try {
                for(String word:words)
            {
            context.write(new Text(word), one);
            }
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
    }
}

public static class MyTableReducer extends TableReducer<Text, IntWritable, ImmutableBytesWritable>  {

    public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
            int i = 0;
            for (IntWritable val : values) {
                i += val.get();
            }
            Put put = new Put(Bytes.toBytes(key.toString()));
            put.add(Bytes.toBytes("cf"), Bytes.toBytes("count"), Bytes.toBytes(i));

            context.write(null, put);
    }
}


public int run(String args[]) throws Exception
{
    //Configuration conf = getConf();
     Configuration conf = HBaseConfiguration.create();
        conf.addResource(new Path("/home/trg/hadoop-1.0.4/conf/core-site.xml"));
        conf.addResource(new Path("/home/trg/hadoop-1.0.4/conf/hdfs-site.xml"));


    Job job = new Job(conf,"SM LogAnalyzer MR");

    job.setJarByClass(HBaseImporter.class);
    //FileInputFormat.setInputPaths(job, new Path(args[1]));
    //FileOutputFormat.setOutputPath(job, new Path("outyy"));
     //job.setOutputFormatClass(TextOutputFormat.class);
      job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(IntWritable.class);

    //job.setMapperClass(InnerMap.class);
    Scan scan = new Scan();
    scan.setCaching(500);        // 1 is the default in Scan, which will be bad for MapReduce jobs
    scan.setCacheBlocks(false);
    TableMapReduceUtil.initTableMapperJob(
            "wc_in",        // input table
            scan,               // Scan instance to control CF and attribute selection
            InnerMap.class,     // mapper class
            Text.class,         // mapper output key
            IntWritable.class,  // mapper output value
            job);

    TableMapReduceUtil.initTableReducerJob(
            "word_count",        // output table
            MyTableReducer.class,    // reducer class
            job);
        job.setNumReduceTasks(1);

    job.setNumReduceTasks(0);

    return job.waitForCompletion(true)?0:1;
}

public static void main(String[] args) throws Exception {
    //Configuration conf = new HBaseConfiguration();
    //Job job = configureJob(conf, args);
    //System.exit(job.waitForCompletion(true) ? 0 : 1);

    String[] inArgs = new String[4]; 
    inArgs[0] = "HBaseImporter";
        inArgs[1] = "/user/trg/wc_in"; 
        inArgs[2] = "AppLogMRImport"; 
        inArgs[3] = "MessageDB"; 
        int res = ToolRunner.run(new Configuration(), new HBaseImporter(), inArgs);
        //int res = ToolRunner.run(new Configuration(), new HBaseImporter(), args);

    }
}

我将映射输出值类设置为 IntWritable.class，但仍会在需要 Put 对象的映射器中调用 TableOutputFormat.write.

 job.setNumReduceTasks(0);