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=[10.22.7.81:50010], original=[10.22.7.81:50010]). 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.

wordpress.com | 4 months ago
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    HDFS Append Fails in cluster with less than 3 nodes. | Bruce B Campbell

    wordpress.com | 1 year ago
    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=[10.22.7.81:50010], original=[10.22.7.81:50010]). 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.
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    Bruce B Campbell

    wordpress.com | 4 months ago
    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=[10.22.7.81:50010], original=[10.22.7.81:50010]). 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.
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    java.io.IOException: Got error, status message , ack with firstBadLink as 139.162.22.151:50010
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    Hadoop bad connect ack exception

    Stack Overflow | 2 years ago | Istvan
    java.io.IOException: Bad connect ack with firstBadLink as 10.90.80.44:50010
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    HDFS some datanodes of cluster are suddenly disconnected while reducers are running

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    java.io.IOException: Bad connect ack with firstBadLink as ***.***.***.148:20010

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    Root Cause Analysis

    1. 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=[10.22.7.81:50010], original=[10.22.7.81:50010]). 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.hdfs.DFSOutputStream$DataStreamer.findNewDatanode()
    2. Apache Hadoop HDFS
      DFSOutputStream$DataStreamer.run
      1. org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.findNewDatanode(DFSOutputStream.java:960)
      2. org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.addDatanode2ExistingPipeline(DFSOutputStream.java:1026)
      3. org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.setupPipelineForAppendOrRecovery(DFSOutputStream.java:1175)
      4. org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:531)
      4 frames