I did not know it was possible to buy such a machine, very impressive. How much does that cost? I thought 18TB was the current maximum size for HDD :-P On 18/02/2021 04:37, Serkan Çoban wrote: > I still prefer the simplest solution. There are 4U servers with 110 x > 20TB disks on the market. > After raid you get 1.5PiB per server. This is 30 months of data. > 2 such servers will hold 5 years of data with minimal problems. > If you need backup; then buy 2 more sets and just send zfs snapshot > diffs to this set. > > > On Wed, Feb 17, 2021 at 11:15 PM Loïc Dachary <loic@xxxxxxxxxxx> wrote: >> >> >> On 17/02/2021 18:27, Serkan Çoban wrote: >>> Why not put all the data to a zfs pool with 3-4 levels deep directory >>> structure each directory named with 2 byte in range 00-FF? >>> Four levels deep, you get 255^4=4B folders with 3-4 objects per folder >>> or three levels deep you get 255^3=16M folders with ~1000 objects >>> each. >> It is more or less the current setup :-) I should have mentioned that there currently are ~750TB and 10 billions objects. But it's growing by 50TB every month and it will keep growing indefinitely. Reason why a solution that scales out is desirable. >>> On Wed, Feb 17, 2021 at 8:14 PM Loïc Dachary <loic@xxxxxxxxxxx> wrote: >>>> Hi Nathan, >>>> >>>> Good thinking :-) The names of the objects are indeed the SHA256 of their content, which provides deduplication. >>>> >>>> Cheers >>>> >>>> On 17/02/2021 18:04, Nathan Fish wrote: >>>>> I'm not much of a programmer, but as soon as I hear "immutable >>>>> objects" I think "content-addressed". I don't know if you have many >>>>> duplicate objects in this set, but content-addressing gives you >>>>> object-level dedup for free. Do you have to preserve some meaningful >>>>> object names from the original dataset, or just do you just need some >>>>> kind of ID? >>>>> >>>>> On Wed, Feb 17, 2021 at 11:37 AM Loïc Dachary <loic@xxxxxxxxxxx> wrote: >>>>>> Bonjour, >>>>>> >>>>>> TL;DR: Is it more advisable to work on Ceph internals to make it friendly to this particular workload or write something similar to EOS[0] (i.e Rocksdb + Xrootd + RBD)? >>>>>> >>>>>> This is a followup of two previous mails[1] sent while researching this topic. In a nutshell, the Software Heritage project[1] currently has ~750TB and 10 billions objects, 75% of which have a size smaller than 16KB and 50% have a size smaller than 4KB. But they only account for ~5% of the 750TB: 25% of the objects have a size > 16KB and total ~700TB. The objects can be compressed by ~50% and 750TB only needs 350TB of actual storage. (if you're interested in the details see [2]). >>>>>> >>>>>> Let say those 10 billions objects are stored in a single 4+2 erasure coded pool with bluestore compression set for objects that have a size > 32KB and the smallest allocation size for bluestore set to 4KB[3]. The 750TB won't use the expected 350TB but about 30% more, i.e. ~450TB (see [4] for the maths). This space amplification is because storing a 1 byte object uses the same space as storing a 16KB object (see [5] to repeat the experience at home). In a 4+2 erasure coded pool, each of the 6 chunks will use no less than 4KB because that's the smallest allocation size for bluestore. That's 4 * 4KB = 16KB even when all that is needed is 1 byte. >>>>>> >>>>>> It was suggested[6] to have two different pools: one with a 4+2 erasure pool and compression for all objects with a size > 32KB that are expected to compress to 16KB. And another with 3 replicas for the smaller objects to reduce space amplification to a minimum without compromising on durability. A client looking for the object could make two simultaneous requests to the two pools. They would get 404 from one of them and the object from the other. >>>>>> >>>>>> Another workaround, is best described in the "Finding a needle in Haystack: Facebook’s photo storage"[9] paper and essentially boils down to using a database to store a map between the object name and its location. That does not scale out (writing the database index is the bottleneck) but it's simple enough and is successfully implemented in EOS[0] with >200PB worth of data and in seaweedfs[10], another promising object store software based on the same idea. >>>>>> >>>>>> Instead of working around the problem, maybe Ceph could be modified to make better use of the immutability of these objects[7], a hint that is apparently only used to figure out how to best compress it and for checksum calculation[8]. I honestly have not clue how difficult it would be. All I know is that it's not easy otherwise it would have been done already: there seem to be a general need for efficiently (space wise and performance wise) storing large quantities of objects smaller than 4KB. >>>>>> >>>>>> Is it more advisable to: >>>>>> >>>>>> * work on Ceph internals to make it friendly to this particular workload or, >>>>>> * write another implementation of "Finding a needle in Haystack: Facebook’s photo storage"[9] based on RBD[11]? >>>>>> >>>>>> I'm currently leaning toward working on Ceph internals but there are pros and cons to both approaches[12]. And since all this is still very new to me, there also is the possibility that I'm missing something. Maybe it's *super* difficult to improve Ceph in this way. I should try to figure that out sooner rather than later. >>>>>> >>>>>> I realize it's a lot to take in and unless you're facing the exact same problem there is very little chance you read that far :-) But if you did... I'm *really* interested to hear what yout think. In any case I'll report back to this thread once a decision has been made. >>>>>> >>>>>> Cheers >>>>>> >>>>>> [0] https://eos-web.web.cern.ch/eos-web/ >>>>>> [1] https://lists.ceph.io/hyperkitty/list/ceph-users@xxxxxxx/thread/AEMW6O7WVJFMUIX7QGI2KM7HKDSTNIYT/ https://lists.ceph.io/hyperkitty/list/ceph-users@xxxxxxx/thread/RHQ5ZCHJISXIXOJSH3TU7DLYVYHRGTAT/ >>>>>> [2] https://forge.softwareheritage.org/T3054 >>>>>> [3] https://github.com/ceph/ceph/blob/3f5e778ad6f055296022e8edabf701b6958fb602/src/common/options.cc#L4326-L4330 >>>>>> [4] https://forge.softwareheritage.org/T3052#58864 >>>>>> [5] https://forge.softwareheritage.org/T3052#58917 >>>>>> [6] https://forge.softwareheritage.org/T3052#58876 >>>>>> [7] https://docs.ceph.com/en/latest/rados/api/librados/#c.@3.LIBRADOS_ALLOC_HINT_FLAG_IMMUTABLE >>>>>> [8] https://forge.softwareheritage.org/T3055 >>>>>> [9] https://www.usenix.org/legacy/event/osdi10/tech/full_papers/Beaver.pdf >>>>>> [10] https://github.com/chrislusf/seaweedfs/wiki/Components >>>>>> [11] https://forge.softwareheritage.org/T3049 >>>>>> [12] https://forge.softwareheritage.org/T3054#58977 >>>>>> >>>>>> -- >>>>>> Loïc Dachary, Artisan Logiciel Libre >>>>>> >>>>>> >>>>>> _______________________________________________ >>>>>> ceph-users mailing list -- ceph-users@xxxxxxx >>>>>> To unsubscribe send an email to ceph-users-leave@xxxxxxx >>>> -- >>>> Loïc Dachary, Artisan Logiciel Libre >>>> >>>> >>>> _______________________________________________ >>>> ceph-users mailing list -- ceph-users@xxxxxxx >>>> To unsubscribe send an email to ceph-users-leave@xxxxxxx >> -- >> Loïc Dachary, Artisan Logiciel Libre >> >> -- Loïc Dachary, Artisan Logiciel Libre
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