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weedfs improvements / validation

goal

  • fork from weedfs

  • create certain improvements, allow author of weedfs to merge it back in

  • do some serious stress testing on larger scale

    • deploy on 30 sata disks
    • store billions of 16k objects (fill up the sata disks)
    • check performance (document well)
    • check what happens if certain disks get full faster than others (put some small disks in)
    • remove disks (simulate broken disk), see how redundancy policy recovers (if it does that at all)
  • validation

    • check the way how redundancy is done
      • will it pick up after disk was broken (so will it recover automatically)
      • is it a sound way to guarantee consistent redundancy
    • document memory usage
      • size of keys in relation to memory usage (how many objects can be stored on storage node in relation to mem)
    • document performance
      • 10 gbit / gbit network
      • small/bigger clusters
      • degradation over time when more objects
  • improvements

    • variable key size, allow upto full sha1 keysize, this to use redis to store deduped information
    • performance improvements
    • redundancy improvements
    • code review, fix minor issues
    • implement caching on SSD (write cache) before it gets written to SATA disks at backend

how

  • document all in this repo
  • work with our professional services team in Egypt to get access to hardware which is configured properly
  • create some tools to do performance testing
  • tune the OS/filesystem to get best results (filesystems used underneath weedfs)

requirements

  • billion objects can be stored reliably
  • performance is predictable
    • expressed in IOPS per system
    • IOPS from total system should be not to far of of IOPS from sum of underlying SATA disks (read iops)
  • when node or disk down system keeps on working
  • when node or disk back system knows how to deal with it
  • when new node or new disk there is a way to let this new node & disk to become part of the cluster
  • when disks lost, there is a way to rebalance the data in such a way that the redundancy requirements are met !!!
  • when too much data (is ok), there is a way to remove it
  • there is a procedure to check validity of data on disks (crc check on disk?)

remarks

  • ignore the filesystem interface, we are only interested in a backend storage system

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