我遵循java中调用c函数的说明
要为c++函数创建jni，请参见helloworld示例。作为java程序的一部分，它工作得很好。我的程序如下：

////////////
class HelloWorld {
private native void myprint(char c);

public void from_java() {
    myprint('I');
}

public static void main(String[] args) {
    new HelloWorld().from_java();
}

static {
    System.loadLibrary("HelloWorld");
}
}

/* DO NOT EDIT THIS FILE - it is machine generated */

# include <jni.h>

/* Header for class HelloWorld */

# ifndef _Included_HelloWorld

# define _Included_HelloWorld

# ifdef __cplusplus

extern "C" {

# endif

JNIEXPORT void JNICALL Java_HelloWorld_myprint(JNIEnv *, jobject, char);

# ifdef __cplusplus

}

# endif

# endif

# include <stdio.h>

# include "HelloWorld.h"

JNIEXPORT void JNICALL   Java_HelloWorld_myprint(JNIEnv *env, jobject obj, char c)  {
 printf("Hello World! %c", c);
 printf("\n");

 return;
}

////////////

myprint（..）可以在java中称为fine。
然而，当我把它作为wordcounthadoop示例的一部分时，我得到了一个错误。
我的hadoop程序是：

////////////
import java.io.IOException;
import java.util.StringTokenizer;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
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.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

public class WordCount {

public static class TokenizerMapper
   extends Mapper<Object, Text, Text, IntWritable>{

   class HelloWorld {

   private native void myprint(char c);

       public void mymain() {
         myprint('I');
       }
  }

static {
  System.loadLibrary("HelloWorld");
}

private final static IntWritable one = new IntWritable(1);
private Text word = new Text();

public void map(Object key, Text value, Context context
                ) throws IOException, InterruptedException {
  StringTokenizer itr = new StringTokenizer(value.toString());

  HelloWorld obj = new HelloWorld();
  obj.mymain();

  while (itr.hasMoreTokens()) {
    word.set(itr.nextToken());
    context.write(word, one);
  }
}
}

public static class IntSumReducer
   extends Reducer<Text,IntWritable,Text,IntWritable> {
private IntWritable result = new IntWritable();

public void reduce(Text key, Iterable<IntWritable> values,
                   Context context
                   ) throws IOException, InterruptedException {
  int sum = 0;
  for (IntWritable val : values) {
    sum += val.get();
  }
  result.set(sum);
  context.write(key, result);
}
}

public  static void main(String[] args) throws Exception {

Configuration conf = new Configuration();

Job job = Job.getInstance(conf, "word count");
job.setJarByClass(WordCount.class);
job.setMapperClass(TokenizerMapper.class);
job.setCombinerClass(IntSumReducer.class);
job.setReducerClass(IntSumReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));

System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}
////////////

运行此操作时，出现以下错误：

17/09/02 09:36:57 INFO mapreduce.Job: Job job_local737469568_0001 failed with state FAILED due to: NA
17/09/02 09:36:57 WARN mapred.LocalJobRunner: job_local737469568_0001
java.lang.Exception: java.lang.UnsatisfiedLinkError:      WordCount$TokenizerMapper$HelloWorld.myprint(C)V
at   org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:489)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:549)
Caused by: java.lang.UnsatisfiedLinkError:   WordCount$TokenizerMapper$HelloWorld.myprint(C)V
at WordCount$TokenizerMapper$HelloWorld.myprint(Native Method)
at WordCount$TokenizerMapper$HelloWorld.mymain(WordCount.java:26)
at WordCount$TokenizerMapper.map(WordCount.java:42)
at WordCount$TokenizerMapper.map(WordCount.java:18)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:146)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at  org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:270)