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  1. Hadoop HDFS
  2. HDFS-2006 ability to support storing extended attributes per file
  3. HDFS-6346

Optimize OP_SET_XATTRS by persisting single Xattr entry per setXattr/removeXattr api call



    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • None
    • namenode
    • None
    • Reviewed


      When a new xattrs set on an Inode, it may add this with OP_SET_XATTRS and let's say [user.name1:value1]
      On a next call if we set another xattrs, then it may store along with older existing xattrs again. It may be like [user.name1:value1, user.name2:value2]
      So, on adding more xattrs on same Inode, that list may grow and we keep store the entries of already existing name, value fairs.
      Right now we defaulted the max Xattrs on an Inode to 32 and configured. If user modified it to much larger value and start setting xattrs, then edits loading may create issue like my above example.
      But I didn't refer any usecase of having large number of xattrs, this is just the assumption to consider a case. My biggest doubt is whether we will have such real usecases to have huge xattrs on a single INode.
      So, here is a thought on having OP_SET_XATTR for each setXAttr operation to be logged, When we replay them we need to consolidate. This is some initial thought we can think more if others also feel we need to consider this case to handle.

      Otherwise we endup storing Xattrs entries in editlog file as n(n+1)/2 where n is number xattrs for a file/dir. This may be issue only when we have large number configured max xattrs for inode.


        1. HDFS-6346.patch
          17 kB
          Yi Liu
        2. editsStored
          5 kB
          Yi Liu
        3. HDFS-6346.1.patch
          18 kB
          Yi Liu
        4. HDFS-6346.2.patch
          18 kB
          Yi Liu



            hitliuyi Yi Liu
            umamaheswararao Uma Maheswara Rao G
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