org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.io.IOException: Failed to replace a bad datanode on the existing pipeline due to no more good datanodes being available to try. (Nodes: current=[192.168.1.191:50010, 192.168.1.192:50010], original=[192.168.1.191:50010, 192.168.1.192:50010]). The current failed datanode replacement policy is DEFAULT, and a client may configure this via 'dfs.client.block.write.replace-datanode-on-failure.policy' in its configuration.         at org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler.handleEvent(JobHistoryEventHandler.java:514)

sharpcloud.cn | 3 months ago
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    Hadoop常见错误及解决办法汇总【时常更新】 - Hadoop_锋云网

    sharpcloud.cn | 3 months ago
    org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.io.IOException: Failed to replace a bad datanode on the existing pipeline due to no more good datanodes being available to try. (Nodes: current=[192.168.1.191:50010, 192.168.1.192:50010], original=[192.168.1.191:50010, 192.168.1.192:50010]). The current failed datanode replacement policy is DEFAULT, and a client may configure this via 'dfs.client.block.write.replace-datanode-on-failure.policy' in its configuration.         at org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler.handleEvent(JobHistoryEventHandler.java:514)
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    csdn.net | 1 year ago
    org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.io.IOException: Failed to replace a bad datanode on the existing pipeline due to no more good datanodes being available to try. (Nodes: current=[192.168.1.191:50010, 192.168.1.192:50010], original=[192.168.1.191:50010, 192.168.1.192:50010]). The current failed datanode replacement policy is DEFAULT, and a client may configure this via 'dfs.client.block.write.replace-datanode-on-failure.policy' in its configuration.         at org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler.handleEvent(JobHistoryEventHandler.java:514)         at org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler.serviceStop(JobHistoryEventHandler.java:332)
  3. 0

    Build failed in Jenkins: Hadoop-Yarn-trunk #415

    hadoop-yarn-dev | 3 years ago | Apache Jenkins Server
    org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.io.IOException: ResourceManager failed to start. Final state is STOPPED
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  5. 0

    Failed: YARN-1325 PreCommit Build #2633

    hadoop-yarn-dev | 3 years ago | Apache Jenkins Server
    org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.io.IOException: ResourceManager failed to start. Final state is STOPPED
  6. 0

    Hadoop-Mapreduce-trunk - Build # 3083 - Still Failing

    hadoop-mapreduce-dev | 9 months ago | Apache Jenkins Server
    org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.io.IOException: ResourceManager failed to start. Final state is STOPPED

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    Root Cause Analysis

    1. org.apache.hadoop.yarn.exceptions.YarnRuntimeException

      java.io.IOException: Failed to replace a bad datanode on the existing pipeline due to no more good datanodes being available to try. (Nodes: current=[192.168.1.191:50010, 192.168.1.192:50010], original=[192.168.1.191:50010, 192.168.1.192:50010]). The current failed datanode replacement policy is DEFAULT, and a client may configure this via 'dfs.client.block.write.replace-datanode-on-failure.policy' in its configuration.         at org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler.handleEvent(JobHistoryEventHandler.java:514)

      at org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler.serviceStop()
    2. Hadoop
      JobHistoryEventHandler.serviceStop
      1. org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler.serviceStop(JobHistoryEventHandler.java:332)
      1 frame