Back when I was even less experienced in self-hosting I setup my media/backup server using a RAIDZ1 array and 3 x 8TB disks. It’s been running well for a while and I haven’t had any problems and no disk errors.

But today I read a post about ‘pool design rules’ stating that RAIDZ1 configurations should not have drives over 1TB because the chances of errors occurring during re-silvering are high. I wish I had known this sooner.

What can I do about this? I send ZFS snapshots to 2 single large (18TB) hardrives for cold backups, so I have the capacity to do a migration to a new pool layout. But which layout? The same article I referenced above says to not use RAIDZ2 or RAIDZ3 with any less than 6 drives…I don’t want to buy 3 more drives. Do I buy an additional 8TB drive (for a total of 4 x 8TB) and stripe across two sets of mirrors? Does that make any sense?

Thank you!

  • mlaga97
    link
    fedilink
    English
    arrow-up
    11
    ·
    9 months ago

    I think it’s worth pointing out that this article is 11 years old, so that 1TB rule-of-thumb probably probably needs to be adjusted for modern disks.

    If you have 2 full backups (18TB drives being more than sufficient) of the array, especially if one of those is offsite, then I’d say you’re really not at a high enough risk of losing data during a rebuild to justify proactively rebuilding the array until you have at least 2 or more disks to add.

    • Hopfgeist@feddit.de
      link
      fedilink
      English
      arrow-up
      1
      ·
      9 months ago

      Let’s do the math:

      The error-reate of modern hard disks is usually on the order of one undetectable error per 1E15 bits read, see for example the data sheet for the Seagate Exos 7E10. An 8 TB disk contains 6.4E13 (usable) bits, so when reading the whole disk you have roughly a 1 in 16 chance of an unrecoverable read error. Which is ok with zfs if all disks are working. The error-correction will detect and correct it. But during a resilver it can be a big problem.

      • mlaga97
        link
        fedilink
        English
        arrow-up
        2
        ·
        9 months ago

        If the actual error rate were anywhere near that high, modern enterprise hard drives wouldn’t be usable as a storage medium at all.

        A 65% filled array of 10x20TB drives would average at least 1 bit failure on every single scrub (which is full read of all data present in the array), but that doesn’t actually happen with any real degree of regularity.

        • Hopfgeist@feddit.de
          link
          fedilink
          English
          arrow-up
          1
          ·
          9 months ago

          Then why do you think manufacturers still list these failure rates (to be sure, it is marked as a limit, not an actual rate)? I’m not being sarcastic or facetious, but genuinely curious. Do you know for certain that it doesn’t happen regularly? During a scrub, these are the kinds of errors that are quietly corrected (althouhg the scrub log would list them), as they are during normal operation (also logged).

          My theory is that they are being cautious and/or perhaps don’t have any high-confidence data that is more recent.

          • mlaga97
            link
            fedilink
            English
            arrow-up
            3
            ·
            9 months ago

            I’ve read many many discussions about why manufacturers would list such a pessimistic number on their datasheets over the years and haven’t really come any closer to understanding why it would be listed that way, when you can trivially prove how pessimistic it is by repeatedly running badblocks on a dozen of large (20TB+) enterprise drives that will nearly all dutifully accept hundreds of TBs written to and read from with no issues when the URE rate suggests that would result in a dozen UREs on average.

            I conjecture, without any specific evidence, that it might be an accurate value with respect to some inherent physical property of the platters themselves that manufactures can and do measure that hasn’t improved considerably, but has long been abstracted away by increaed redundancy and error correction at the sector level that result in much more reliable effective performance, but the raw quantity is still used for some internal historical/comparative reason rather than being replaced by the effective value that matters more directly to users.