在本地/远程集群上运行Java hadoop作业

内容导读

互联网集市收集整理的这篇技术教程文章主要介绍了在本地/远程集群上运行Java hadoop作业，小编现在分享给大家，供广大互联网技能从业者学习和参考。文章包含3841字，纯文字阅读大概需要6分钟。

内容图文

我正在尝试在本地/远程群集上运行hadoop作业.将来将通过Web应用程序执行此作业.我正在尝试从eclipse执行以下代码：

public class TestHadoop {

    private final static String host = "localhost";

    public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
        run();
    }

    static void run() throws IOException, InterruptedException, ClassNotFoundException {
        Configuration conf = new Configuration();

        // run on other machine/cluster
        conf.set("fs.default.name", "hdfs://" + host + ":8020");
        conf.set("mapred.job.tracker", "hdfs://" + host + ":8021");

        Job job = new Job(conf, "Wordcount");
        job.setJarByClass(TestHadoop.class);

        FileInputFormat.addInputPath(job, new Path("/user/hue/jobsub/sample_data/midsummer.txt"));
        FileOutputFormat.setOutputPath(job, new Path("/tmp/hadoop-out2"));

        job.setMapperClass(Map.class);
        job.setReducerClass(Reduce.class);

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

        job.setInputFormatClass(TextInputFormat.class);
        job.setOutputFormatClass(TextOutputFormat.class);

        job.waitForCompletion(true);
    }

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

        @Override
        public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            String line = value.toString();
            StringTokenizer tokenizer = new StringTokenizer(line);
            while (tokenizer.hasMoreTokens()) {
                word.set(tokenizer.nextToken());
                context.write(word, one);
            }
        }
    }

    static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> { 

        @Override
        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(key, new IntWritable(sum));
        }
    }
}

但是我得到以下错误：

2011-09-30 16:32:39,000 WARN org.apache.hadoop.mapred.Child: Error running child
java.lang.RuntimeException: java.lang.ClassNotFoundException: org.mmm.hadoop.TestHadoop$Map
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:996)
at org.apache.hadoop.mapreduce.JobContext.getMapperClass(JobContext.java:212)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:602)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:323)
at org.apache.hadoop.mapred.Child$4.run(Child.java:270)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1127)
at org.apache.hadoop.mapred.Child.main(Child.java:264)
Caused by: java.lang.ClassNotFoundException: org.mmm.hadoop.TestHadoop$Map
at java.net.URLClassLoader$1.run(URLClassLoader.java:202)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:247)
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:943)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:994)
... 8 more

16:33:01.209 [LeaseChecker] DEBUG org.apache.hadoop.hdfs.DFSClient - LeaseChecker is interrupted.
java.lang.InterruptedException: sleep interrupted
    at java.lang.Thread.sleep(Native Method) [na:1.7.0]
    at org.apache.hadoop.hdfs.DFSClient$LeaseChecker.run(DFSClient.java:1167) ~[hadoop-core-0.20.2-cdh3u1.jar:na]
    at java.lang.Thread.run(Thread.java:722) [na:1.7.0]

我正在使用CDH3和Hue.作业出现在作业列表上,上面有正在运行的子错误.

解决方法:

您必须将您的自定义映射器/缩减器实现捆绑在一个jar中.

job.setJarByClass(TestHadoop.class); 

然后将查找该jar并将其传输到集群.

内容总结

以上是互联网集市为您收集整理的在本地/远程集群上运行Java hadoop作业全部内容，希望文章能够帮你解决在本地/远程集群上运行Java hadoop作业所遇到的程序开发问题。 如果觉得互联网集市技术教程内容还不错，欢迎将互联网集市网站推荐给程序员好友。

内容备注

版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 gblab@vip.qq.com 举报，一经查实，本站将立刻删除。

内容手机端

---