无法在群集上运行MR

Question

我有一个Map reduce程序，它在独立（Ecllipse）模式下成功运行，但同时试图通过在集群中导出jar来运行相同的MR。它显示了这样的空指针异常，

  13/06/26 05:46:22 ERROR mypackage.HHDriver: Error while configuring run method. 
  java.lang.NullPointerException

我使用以下代码来运行方法。

public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
    Configuration configuration = new Configuration();
    Tool headOfHouseHold = new HHDriver();
    try {
        ToolRunner.run(configuration,headOfHouseHold,args);
    } catch (Exception exception) {
        exception.printStackTrace();
        LOGGER.error("Error while configuring run method", exception);
        // System.exit(1);
    }
}

运行方法：

if (args != null && args.length == 8) {
    // Setting the Configurations
    GenericOptionsParser genericOptionsParser=new GenericOptionsParser(args);
    Configuration configuration=genericOptionsParser.getConfiguration();
    //Configuration configuration = new Configuration();
    configuration.set("fs.default.name", args[0]);
    configuration.set("mapred.job.tracker", args[1]);
    configuration.set("deltaFlag",args[2]);                                   
    configuration.set("keyPrefix",args[3]);
    configuration.set("outfileName",args[4]);
    configuration.set("Inpath",args[5]);
    String outputPath=args[6];
    configuration.set("mapred.map.tasks.speculative.execution", "false");
    configuration.set("mapred.reduce.tasks.speculative.execution", "false");
    // To avoid the creation of _LOG and _SUCCESS files
    configuration.set("mapreduce.fileoutputcommitter.marksuccessfuljobs", "false");
    configuration.set("hadoop.job.history.user.location", "none");
    configuration.set(Constants.MAX_NUM_REDUCERS,args[7]);
    // Configuration of the MR-Job
    Job job = new Job(configuration, "HH Job");
    job.setJarByClass(HHDriver.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);
    job.setNumReduceTasks(HouseHoldingHelper.numReducer(configuration));
    job.setInputFormatClass(TextInputFormat.class);
    job.setOutputFormatClass(TextOutputFormat.class);
    MultipleOutputs.addNamedOutput(job,configuration.get("outfileName"),
                                   TextOutputFormat.class,Text.class,Text.class);
    // Deletion of OutputTemp folder (if exists)
    FileSystem fileSystem = FileSystem.get(configuration);
    Path path = new Path(outputPath);
    if (path != null /*&& path.depth() >= 5*/) {
        fileSystem.delete(path, true);
    }
    // Deletion of empty files in the output (if exists)
    FileStatus[] fileStatus = fileSystem.listStatus(new Path(outputPath));
    for (FileStatus file : fileStatus) {
        if (file.getLen() == 0) {
            fileSystem.delete(file.getPath(), true);
        }
     }
    // Setting the Input/Output paths
    FileInputFormat.setInputPaths(job, new Path(configuration.get("Inpath")));
    FileOutputFormat.setOutputPath(job, new Path(outputPath));
    job.setMapperClass(HHMapper.class);
    job.setReducerClass(HHReducer.class);
    job.waitForCompletion(true);
    return job.waitForCompletion(true) ? 0 : 1;

我仔细检查了不为null的运行方法参数，它也在独立模式下运行。。

Answer 1

问题可能是因为hadoop配置没有正确传递给程序。你可以试着把这个放在你的驱动程序类的开头：

GenericOptionsParser genericOptionsParser=new GenericOptionsParser(args[]);
Configuration hadoopConfiguration=genericOptionsParser.getConfiguration();

然后在初始化对象时使用hadoopConfiguration对象。

例如

public int run(String[] args) throws Exception {        
    GenericOptionsParser genericOptionsParser=new GenericOptionsParser(args[]);
    Configuration hadoopConfiguration=genericOptionsParser.getConfiguration();
    Job job = new Job(hadoopConfiguration);
    //set other stuff
}