无法运行打开的jar文件

时间:2013-11-27 01:54:54

标签: hadoop mapreduce hdfs

我已经采用了标准的wordcount程序 下面是标准示例代码

package myorg.org;
        import java.io.IOException;
        import java.util.*;

        import org.apache.hadoop.fs.Path;
        import org.apache.hadoop.conf.*;
        import org.apache.hadoop.io.*;
        import org.apache.hadoop.mapred.*;
        import org.apache.hadoop.util.*;

        public class WordCount {

            public static class Map extends MapReduceBase implements Mapper<LongWritable, Text, Text, IntWritable> {
              private final static IntWritable one = new IntWritable(1);
              private Text word = new Text();

              public void map(LongWritable key, Text value, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException {
                String line = value.toString();
                StringTokenizer tokenizer = new StringTokenizer(line);
                while (tokenizer.hasMoreTokens()) {
                  word.set(tokenizer.nextToken());
                  output.collect(word, one);
                }
              }
            }

            public static class Reduce extends MapReduceBase implements Reducer<Text, IntWritable, Text, IntWritable> {
              public void reduce(Text key, Iterator<IntWritable> values, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException {
                int sum = 0;
                while (values.hasNext()) {
                  sum += values.next().get();
                }
                output.collect(key, new IntWritable(sum));
              }
            }

            public static void main(String[] args) throws Exception {
              JobConf conf = new JobConf(WordCount.class);
              conf.setJobName("wordcount");

              conf.setOutputKeyClass(Text.class);
              conf.setOutputValueClass(IntWritable.class);

              conf.setMapperClass(Map.class);
              conf.setCombinerClass(Reduce.class);
              conf.setReducerClass(Reduce.class);

              conf.setInputFormat(TextInputFormat.class);
              conf.setOutputFormat(TextOutputFormat.class);

              FileInputFormat.setInputPaths(conf, new Path(args[0]));
              FileOutputFormat.setOutputPath(conf, new Path(args[1]));

              JobClient.runJob(conf);
            }
        }

我在eclipse中创建了一个java项目并添加了hadoop-common-2.0.0-cdh4.3.0.jarhadoop-core-2.0.0-mr1-cdh4.3.0 jar,因为我们正在使用Hadoop,它已成功编译并创建了jar文件并将该jar文件复制到边缘服务器中,然后我创建了2个示例输入文件,我运行hadoop jar命令,它说unable to open jar file 下面是我用于打开jar文件的命令

hadoop jar /home/a491882/Map-Reduce/WordCount.jar /home/a491882/Map-Reduce/input /home/a491882/Map-Reduce/output

我有jar文件存在于该位置并输入文件,但是无法找到为什么会出现此错误,在我们的hadoop集群中,我们正在使用hadoop-common-2.0.0-cdh4.3.0.jar和hadoop-core-2.0.0-mr1-cdh4.3.0 jar文件

请说明可能出现的问题。

0 个答案:

没有答案