java.io.IOException: Failed to run job : Unable to map logical nameservice URI 'hdfs://A' to a NameNode. Local configuration does not have a failover proxy provide r configured.

kylin-dev | fengYu (JIRA) | 11 months ago
  1. 0

    [jira] [Created] (KYLIN-1280) Convert Cuboid Data to HFile failed when hbase in different HDFS

    kylin-dev | 11 months ago | fengYu (JIRA)
    java.io.IOException: Failed to run job : Unable to map logical nameservice URI 'hdfs://A' to a NameNode. Local configuration does not have a failover proxy provide r configured.
  2. 0

    Mark Hall on Data Mining & Weka: Weka and Hadoop Part 1

    blogspot.com | 1 month ago
    weka.distributed.DistributedWekaException: Cannot initialize Cluster. Please check your configuration for mapreduce.framework.name and the correspond server addresses. weka.distributed.hadoop.WekaClassifierHadoopJob.runJob(WekaClassifierHadoopJob.java:1047) weka.gui.beans.AbstractHadoopJob.runJob(AbstractHadoopJob.java:238) weka.gui.beans.AbstractHadoopJob.start(AbstractHadoopJob.java:278) weka.gui.beans.FlowRunner$1.run(FlowRunner.java:125)
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    Hadoop学习三十二:Win7下无法提交MapReduce Job到集群环境 - zy19982004 - ITeye技术网站

    iteye.com | 1 year ago
    java.io.IOException: The ownership on the staging directory /tmp/hadoop-yarn/staging/simba/.staging is not as expected. It is owned by . The directory must be owned by the submitter simba or by simba
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    KERBEROS error while running mapreduce on Hbase

    Stack Overflow | 1 year ago | bns
    java.io.IOException: Can't get Master Kerberos principal for use as renewer
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    HBase

    dirlt.com | 1 year ago
    java.io.IOException: Cannot initialize Cluster. Please check your configuration for mapreduce.framework.name and the correspond server addresses.

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    Root Cause Analysis

    1. java.io.IOException

      Failed to run job : Unable to map logical nameservice URI 'hdfs://A' to a NameNode. Local configuration does not have a failover proxy provide r configured.

      at org.apache.hadoop.mapred.YARNRunner.submitJob()
    2. Hadoop
      Job$10.run
      1. org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:300)
      2. org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:432)
      3. org.apache.hadoop.mapreduce.Job$10.run(Job.java:1285)
      4. org.apache.hadoop.mapreduce.Job$10.run(Job.java:1282)
      4 frames
    3. Java RT
      Subject.doAs
      1. java.security.AccessController.doPrivileged(Native Method)
      2. javax.security.auth.Subject.doAs(Subject.java:415)
      2 frames
    4. Hadoop
      UserGroupInformation.doAs
      1. org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1614)
      1 frame
    5. Hadoop
      Job.submit
      1. org.apache.hadoop.mapreduce.Job.submit(Job.java:1282)
      1 frame
    6. org.apache.kylin
      CubeHFileJob.run
      1. org.apache.kylin.engine.mr.common.AbstractHadoopJob.waitForCompletion(AbstractHadoopJob.java:129)
      2. org.apache.kylin.storage.hbase.steps.CubeHFileJob.run(CubeHFileJob.java:93)
      2 frames
    7. Hadoop
      ToolRunner.run
      1. org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
      2. org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
      2 frames
    8. org.apache.kylin
      DefaultScheduler$JobRunner.run
      1. org.apache.kylin.engine.mr.common.MapReduceExecutable.doWork(MapReduceExecutable.java:119)
      2. org.apache.kylin.job.execution.AbstractExecutable.execute(AbstractExecutable.java:107)
      3. org.apache.kylin.job.execution.DefaultChainedExecutable.doWork(DefaultChainedExecutable.java:50)
      4. org.apache.kylin.job.execution.AbstractExecutable.execute(AbstractExecutable.java:107)
      5. org.apache.kylin.job.impl.threadpool.DefaultScheduler$JobRunner.run(DefaultScheduler.java:124)
      5 frames
    9. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames