无法提交并发hadoop作业

wh6knrhe  于 2021-05-31  发布在  Hadoop
关注(0)|答案(1)|浏览(339)

我在跑步 Hadoop 2.7 在我的本地机器上,还有 HBase 1.4 以及 Phoenix 4.15 . 我已经写了一个应用程序,它通过phoenix提交map reduce作业,删除hbase中的数据。每个作业都由 ThreadPoolExecutor 看起来是这样的:

public class MRDeleteTask extends Task {

    private final Logger LOGGER = LoggerFactory.getLogger(MRDeleteTask.class);
    private String query;
    public MRDeleteTask(int id, String q) {
        this.setId(id);
        this.query = q;
    }

    @Override
    public void run() {
        LOGGER.info("Running Task: " + getId());
        try {
            Configuration configuration = HBaseConfiguration.create();
            Job job = Job.getInstance(configuration, "phoenix-mr-job-"+getId());
            LOGGER.info("mapper input: " + this.query);
            PhoenixMapReduceUtil.setInput(job, DeleteMR.PhoenixDBWritable.class, "Table", QUERY);
            job.setMapperClass(DeleteMR.DeleteMapper.class);
            job.setJarByClass(DeleteMR.class);
            job.setNumReduceTasks(0);
            job.setOutputFormatClass(NullOutputFormat.class);
            job.setOutputKeyClass(ImmutableBytesWritable.class);
            job.setOutputValueClass(Writable.class);
            TableMapReduceUtil.addDependencyJars(job);
            boolean result = job.waitForCompletion(true);

        }
        catch (Exception e) {
            LOGGER.info(e.getMessage());
        }
    }
}

如果threadpoolexecutor中只有一个线程,那么一切都很好。如果同时提交多个这样的hadoop作业,则什么也不会发生。根据日志,错误如下所示:

4439 [pool-1-thread-2] INFO  MRDeleteTask  - java.util.concurrent.ExecutionException: java.io.IOException: Unable to rename file: [/tmp/hadoop-user/mapred/local/1595274269610_tmp/tmp_phoenix-4.15.0-HBase-1.4-client.jar] to [/tmp/hadoop-user/mapred/local/1595274269610_tmp/phoenix-4.15.0-HBase-1.4-client.jar]

4439 [pool-1-thread-1] INFO  MRDeleteTask  - java.util.concurrent.ExecutionException: ExitCodeException exitCode=1: chmod: /private/tmp/hadoop-user/mapred/local/1595274269610_tmp/phoenix-4.15.0-HBase-1.4-client.jar: No such file or directory

任务是使用 ThreadPoolExecutor.submit() 它们的状态正在使用返回的未来进行检查 future.isDone() .

nom7f22z

nom7f22z1#

这些作业没有提交给yarn,而是从intellij本地运行。将以下内容添加到作业配置中解决了此问题:

conf.set("mapreduce.framework.name", "yarn");

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