The larger the value of K relative to M, the more efficient the raw :: usable ratio ends up. There are tradeoffs and caveats. Here are some of my thoughts; if I’m off-base here, I welcome enlightenment. When possible, it’s ideal to have at least K+M failure domains — often racks, sometimes hosts, chassis, etc. Thus smaller clusters, say with 5-6 nodes, aren’t good fits for larger sums of K+M if your data is valuable. Larger sums of K+M also mean that more drives will be touched by each read or write, especially during recovery. This could be a factor if one is IOPS-limited. Same with scrubs. When using a pool for, eg. RGW buckets, larger sums of K+M may result in greater overhead when storing small objects, since Ceph / RGW only AIUI writes full stripes. So say you have an EC pool of 17,3 on drives with the default 4kB bluestone_min_alloc size. A 1kB S3 object would thus allocate 17+3=20 x 4kB == 80kB of storage, which is 7900% overhead. This is an extreme example to illustrate the point. Larger sums of K+M may present more IOPs to each storage drive, dependent on workload and the EC plugin selected. With larger objects (including RBD) the modulo factor is dramatically smaller. One’s use-case and dataset per-pool may thus inform the EC profiles that make sense; workloads that are predominately smaller objects might opt for replication instead. There was a post ….. a year ago? suggesting that values with small prime factors are advantageous, but I never saw a discussion of why that might be. In some cases where one might be pressured to use replication with only 2 copies of data, a 2,2 EC profile might achieve the same efficiency with greater safety. Geo / stretch clusters or ones in challenging environments are a special case; they might choose values of M equal to or even larger than K. That said, I think 4,2 is a reasonable place to *start*, adjusted by one’s specific needs. You get a raw :: usable ratio of 1.5 without getting too complicated. ymmv > > Hi, > > It depends of hardware, failure domain, use case, overhead. > > I don’t see an easy way to chose k and m values. > > - > Etienne Menguy > etienne.menguy@xxxxxxxx > > >> On 4 Oct 2021, at 16:57, Golasowski Martin <martin.golasowski@xxxxxx> wrote: >> >> Hello guys, >> how does one estimate number of chunks for erasure coded pool ( k = ? ) ? I see that number of m chunks determines the pool’s resiliency, however I did not find clear guideline how to determine k. >> >> Red Hat states that they support only the following combinations: >> >> k=8, m=3 >> k=8, m=4 >> k=4, m=2 >> >> without any rationale behind them. >> The table is taken from https://access.redhat.com/documentation/en-us/red_hat_ceph_storage/3/html/storage_strategies_guide/erasure_code_pools. >> >> Thanks! >> >> Regards, >> Martin >> >> >> _______________________________________________ >> ceph-users mailing list -- ceph-users@xxxxxxx >> To unsubscribe send an email to ceph-users-leave@xxxxxxx > > _______________________________________________ > ceph-users mailing list -- ceph-users@xxxxxxx > To unsubscribe send an email to ceph-users-leave@xxxxxxx _______________________________________________ ceph-users mailing list -- ceph-users@xxxxxxx To unsubscribe send an email to ceph-users-leave@xxxxxxx
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