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  1. Hadoop HDFS
  2. HDFS-7842

Blocks missed while performing downgrade immediately after rolling back the cluster.

    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Critical
    • Resolution: Duplicate
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: datanode
    • Labels:
      None

      Description

      Performing downgrade immediately after rolling back the cluster , will replace the blocks from trash

      Since the block id for the files created before rollback will be same as the file created before downgrade, namenode will get into safemode , as the block size reported from Datanode will be different from the one in block map (corrupted blocks) .

      Steps to Reproduce

      Step 1: Prepare rolling upgrade using "hdfs dfsadmin -rollingUpgrade prepare"
      Step 2: Shutdown SNN and NN
      Step 3: Start NN with the "hdfs namenode -rollingUpgrade started" option.
      Step 4: Executed "hdfs dfsadmin -shutdownDatanode <DATANODE_HOST:IPC_PORT> upgrade" and restarted Datanode
      Step 5: Create File_1 of size 11526
      Step 6: Shutdown both NN and DN
      Step 7: Start NNs with the "hdfs namenode -rollingUpgrade rollback" option.
      	Start DNs with the "-rollback" option.
      Step 8: Prepare rolling upgrade using "hdfs dfsadmin -rollingUpgrade prepare"
      Step 9: Shutdown SNN and NN
      Step 10: Start NN with the "hdfs namenode -rollingUpgrade started" option .
      Step 11: Executed "hdfs dfsadmin -shutdownDatanode <DATANODE_HOST:IPC_PORT> upgrade" and restarted Datanode
      step 12: Add file File_2 with size 6324 (which has same blockid as previous created File_1 with block size 11526)
      Step 13: Shutdown both NN and DN
      Step 14: Start NNs with the "hdfs namenode -rollingUpgrade downgrade" option.Start DNs normally.
      

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              • Assignee:
                andreina J.Andreina
                Reporter:
                andreina J.Andreina
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                • Created:
                  Updated:
                  Resolved: