Re: bluestore blobs REVISITED

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On Tuesday 23 August 2016 04:27 AM, Sage Weil wrote:
> On Mon, 22 Aug 2016, Allen Samuels wrote:
>>> -----Original Message-----
>>> From: Sage Weil [mailto:sweil@xxxxxxxxxx]
>>> Sent: Monday, August 22, 2016 6:09 PM
>>> To: Allen Samuels <Allen.Samuels@xxxxxxxxxxx>
>>> Cc: ceph-devel@xxxxxxxxxxxxxxx
>>> Subject: RE: bluestore blobs REVISITED
>>>
>>> On Mon, 22 Aug 2016, Allen Samuels wrote:
>>>> Another possibility is to "bin" the lextent table into known, fixed,
>>>> offset ranges. Suppose each oNode had a fixed range of LBA keys
>>>> associated with the lextent table: say [0..128K), [128K..256K), ...
>>> Yeah, I think that's the way to do it.  Either a set<uint32_t>
>>> lextent_key_offsets or uint64_t lextent_map_chunk_size to specify the
>>> granularity.
>> Need to do some actual estimates on this scheme to make sure we're
>> actually landing on a real solution and not just another band-aid that
>> we have to rip off (painfully) at some future time.
> Yeah
>
>>>> It eliminates the need to put a "lower_bound" into the KV Store
>>>> directly. Though it'll likely be a bit more complex above and somewhat
>>>> less efficient.
>>> FWIW this is basically wat the iterator does, I think.  It's a separate rocksdb
>>> operation to create a snapshot to iterate over (and we don't rely on that
>>> feature anywhere).  It's still more expensive than raw gets just because it has
>>> to have fingers in all the levels to ensure that it finds all the keys for the given
>>> range, while get can stop once it finds a key or a tombstone (either in a cache
>>> or a higher level of the tree).
>>>
>>> But I'm not super thrilled about this complexity.  I still hope
>>> (wishfully?) we can get the lextent map small enough that we can leave it in
>>> the onode.  Otherwise we really are going to net +1 kv fetch for every
>>> operation (3, in the clone case... onode, then lextent, then shared blob).
>> I don't see the feasibility of leaving the lextent map in the oNode.
>> It's just too big for the 4K random write case. I know that's not
>> indicative of real-world usage. But it's what people use to measure
>> systems....
> How small do you think it would need to be to be acceptable (in teh
> worst-case, 1024 4k lextents in a 4m object)?  2k?  3k?  1k?
>
> You're probably right, but I think I can still cut the full map encoding
> further.  It was 6500, I did a quick tweak to get it to 5500, and I think
> I can drop another 1-2 bytes per entry for common cases (offset of 0,
> length == previous lextent length), which would get it under the 4k mark.
I am also working on some of the optimizations like this. Introduced one
byte to
indicate whether the offset is zero or not, and if lextent length is
same as the blob pextent length(fails in case of super block and
incremental osd map, doesn't have a good hack so far to address this),
iff pextent vector has only one extent.
Another one, if we know, there is only one extent in the pextent
vector(usually the case) may be we can serialize the extent directly not
through the vector which saves couple of bytes to store the size of the
vector. Similar ones for lextents as well. Making changes to see if that
yields some savings.


Varada

>> BTW, w.r.t. lower-bound, my reading of the BloomFilter / Prefix stuff
>> suggests that it's would relatively trivial to ensure that bloom-filters
>> properly ignore the "offset" portion of an lextent key. Meaning that I
>> believe that a "lower_bound" operator ought to be relatively easy to
>> implement without triggering the overhead of a snapshot, again, provided
>> that you provided a custom bloom-filter implementation that did the
>> right thing.
> Hmm, that might help.  It may be that this isn't super significant,
> though, too... as I mentioned there is no snapshot involved with a vanilla
> iterator.
>
>> So the question is do we want to avoid monkeying with RocksDB and go
>> with a binning approach (TBD ensuring that this is a real solution to
>> the problem) OR do we bite the bullet and solve the lower-bound lookup
>> problem?
>>
>> BTW, on the "binning" scheme, perhaps the solution is just put the
>> current "binning value" [presumeably some log2 thing] into the oNode
>> itself -- it'll just be a byte. Then you're only stuck with the
>> complexity of deciding when to do a "split" if the current bin has
>> gotten too large (some arbitrary limit on size of the encoded
>> lexent-bin)
> I think simple is better, but it's annoying because one big bin means
> splitting all other bins, and we don't know when to merge without
> seeing all bin sizes.
>
> sage
>
>
>>> sage
>>>
>>>>
>>>>> -----Original Message-----
>>>>> From: ceph-devel-owner@xxxxxxxxxxxxxxx [mailto:ceph-devel-
>>>>> owner@xxxxxxxxxxxxxxx] On Behalf Of Allen Samuels
>>>>> Sent: Sunday, August 21, 2016 10:27 AM
>>>>> To: Sage Weil <sweil@xxxxxxxxxx>
>>>>> Cc: ceph-devel@xxxxxxxxxxxxxxx
>>>>> Subject: Re: bluestore blobs REVISITED
>>>>>
>>>>> I wonder how hard it would be to add a "lower-bound" fetch like stl.
>>>>> That would allow the kv store to do the fetch without incurring the
>>>>> overhead of a snapshot for the iteration scan.
>>>>>
>>>>> Shared blobs were always going to trigger an extra kv fetch no matter
>>> what.
>>>>> Sent from my iPhone. Please excuse all typos and autocorrects.
>>>>>
>>>>>> On Aug 21, 2016, at 12:08 PM, Sage Weil <sweil@xxxxxxxxxx> wrote:
>>>>>>
>>>>>>> On Sat, 20 Aug 2016, Allen Samuels wrote:
>>>>>>> I have another proposal (it just occurred to me, so it might not
>>>>>>> survive more scrutiny).
>>>>>>>
>>>>>>> Yes, we should remove the blob-map from the oNode.
>>>>>>>
>>>>>>> But I believe we should also remove the lextent map from the
>>>>>>> oNode and make each lextent be an independent KV value.
>>>>>>>
>>>>>>> However, in the special case where each extent --exactly-- maps
>>>>>>> onto a blob AND the blob is not referenced by any other extent
>>>>>>> (which is the typical case, unless you're doing compression with
>>>>>>> strange-ish
>>>>>>> overlaps)
>>>>>>> -- then you encode the blob in the lextent itself and there's no
>>>>>>> separate blob entry.
>>>>>>>
>>>>>>> This is pretty much exactly the same number of KV fetches as what
>>>>>>> you proposed before when the blob isn't shared (the typical case)
>>>>>>> -- except the oNode is MUCH MUCH smaller now.
>>>>>> I think this approach makes a lot of sense!  The only thing I'm
>>>>>> worried about is that the lextent keys are no longer known when
>>>>>> they are being fetched (since they will be a logical offset),
>>>>>> which means we'll have to use an iterator instead of a simple get.
>>>>>> The former is quite a bit slower than the latter (which can make
>>>>>> use of the rocksdb caches and/or key bloom filters more easily).
>>>>>>
>>>>>> We could augment your approach by keeping *just* the lextent
>>>>>> offsets in the onode, so that we know exactly which lextent key to
>>>>>> fetch, but then I'm not sure we'll get much benefit (lextent
>>>>>> metadata size goes down by ~1/3, but then we have an extra get for
>>> cloned objects).
>>>>>> Hmm, the other thing to keep in mind is that for RBD the common
>>>>>> case is that lots of objects have clones, and many of those
>>>>>> objects' blobs will be shared.
>>>>>>
>>>>>> sage
>>>>>>
>>>>>>> So for the non-shared case, you fetch the oNode which is
>>>>>>> dominated by the xattrs now (so figure a couple of hundred bytes
>>>>>>> and not much CPU cost to deserialize). And then fetch from the KV
>>>>>>> for the lextent (which is 1 fetch -- unless it overlaps two
>>>>>>> previous lextents). If it's the optimal case, the KV fetch is
>>>>>>> small (10-15 bytes) and trivial to deserialize. If it's an
>>>>>>> unshared/local blob then you're ready to go. If the blob is
>>>>>>> shared (locally or globally) then you'll have to go fetch that one too.
>>>>>>>
>>>>>>> This might lead to the elimination of the local/global blob thing
>>>>>>> (I think you've talked about that before) as now the only "local"
>>>>>>> blobs are the unshared single extent blobs which are stored
>>>>>>> inline with the lextent entry. You'll still have the special
>>>>>>> cases of promoting unshared
>>>>>>> (inline) blobs to global blobs -- which is probably similar to
>>>>>>> the current promotion "magic" on a clone operation.
>>>>>>>
>>>>>>> The current refmap concept may require some additional work. I
>>>>>>> believe that we'll have to do a reconstruction of the refmap, but
>>>>>>> fortunately only for the range of the current I/O. That will be a
>>>>>>> bit more expensive, but still less expensive than reconstructing
>>>>>>> the entire refmap for every oNode deserialization, Fortunately I
>>>>>>> believe the refmap is only really needed for compression cases or
>>>>>>> RBD cases
>>>>> without "trim"
>>>>>>> (this is the case to optimize -- it'll make trim really important
>>>>>>> for performance).
>>>>>>>
>>>>>>> Best of both worlds????
>>>>>>>
>>>>>>> Allen Samuels
>>>>>>> SanDisk |a Western Digital brand
>>>>>>> 2880 Junction Avenue, Milpitas, CA 95134
>>>>>>> T: +1 408 801 7030| M: +1 408 780 6416 allen.samuels@xxxxxxxxxxx
>>>>>>>
>>>>>>>
>>>>>>>> -----Original Message-----
>>>>>>>> From: ceph-devel-owner@xxxxxxxxxxxxxxx [mailto:ceph-devel-
>>>>>>>> owner@xxxxxxxxxxxxxxx] On Behalf Of Allen Samuels
>>>>>>>> Sent: Friday, August 19, 2016 7:16 AM
>>>>>>>> To: Sage Weil <sweil@xxxxxxxxxx>
>>>>>>>> Cc: ceph-devel@xxxxxxxxxxxxxxx
>>>>>>>> Subject: RE: bluestore blobs
>>>>>>>>
>>>>>>>>> -----Original Message-----
>>>>>>>>> From: Sage Weil [mailto:sweil@xxxxxxxxxx]
>>>>>>>>> Sent: Friday, August 19, 2016 6:53 AM
>>>>>>>>> To: Allen Samuels <Allen.Samuels@xxxxxxxxxxx>
>>>>>>>>> Cc: ceph-devel@xxxxxxxxxxxxxxx
>>>>>>>>> Subject: RE: bluestore blobs
>>>>>>>>>
>>>>>>>>> On Fri, 19 Aug 2016, Allen Samuels wrote:
>>>>>>>>>>> -----Original Message-----
>>>>>>>>>>> From: Sage Weil [mailto:sweil@xxxxxxxxxx]
>>>>>>>>>>> Sent: Thursday, August 18, 2016 8:10 AM
>>>>>>>>>>> To: Allen Samuels <Allen.Samuels@xxxxxxxxxxx>
>>>>>>>>>>> Cc: ceph-devel@xxxxxxxxxxxxxxx
>>>>>>>>>>> Subject: RE: bluestore blobs
>>>>>>>>>>>
>>>>>>>>>>> On Thu, 18 Aug 2016, Allen Samuels wrote:
>>>>>>>>>>>>> From: ceph-devel-owner@xxxxxxxxxxxxxxx [mailto:ceph-
>>> devel-
>>>>>>>>>>>>> owner@xxxxxxxxxxxxxxx] On Behalf Of Sage Weil
>>>>>>>>>>>>> Sent: Wednesday, August 17, 2016 7:26 AM
>>>>>>>>>>>>> To: ceph-devel@xxxxxxxxxxxxxxx
>>>>>>>>>>>>> Subject: bluestore blobs
>>>>>>>>>>>>>
>>>>>>>>>>>>> I think we need to look at other changes in addition to the
>>>>>>>>>>>>> encoding performance improvements.  Even if they end up
>>>>>>>>>>>>> being good enough, these changes are somewhat orthogonal
>>>>>>>>>>>>> and at
>>>>> least
>>>>>>>>>>>>> one of them should give us something that is even faster.
>>>>>>>>>>>>>
>>>>>>>>>>>>> 1. I mentioned this before, but we should keep the encoding
>>>>>>>>>>>>> bluestore_blob_t around when we load the blob map.  If it's
>>>>>>>>>>>>> not changed, don't reencode it.  There are no blockers for
>>>>>>>>>>>>> implementing this
>>>>>>>>>>> currently.
>>>>>>>>>>>>> It may be difficult to ensure the blobs are properly marked
>>> dirty...
>>>>>>>>>>>>> I'll see if we can use proper accessors for the blob to
>>>>>>>>>>>>> enforce this at compile time.  We should do that anyway.
>>>>>>>>>>>> If it's not changed, then why are we re-writing it? I'm
>>>>>>>>>>>> having a hard time thinking of a case worth optimizing where
>>>>>>>>>>>> I want to re-write the oNode but the blob_map is unchanged.
>>>>>>>>>>>> Am I missing
>>>>>>>>> something obvious?
>>>>>>>>>>> An onode's blob_map might have 300 blobs, and a single write
>>>>>>>>>>> only updates one of them.  The other 299 blobs need not be
>>>>>>>>>>> reencoded, just
>>>>>>>>> memcpy'd.
>>>>>>>>>> As long as we're just appending that's a good optimization.
>>>>>>>>>> How often does that happen? It's certainly not going to help
>>>>>>>>>> the RBD 4K random write problem.
>>>>>>>>> It won't help the (l)extent_map encoding, but it avoids almost
>>>>>>>>> all of the blob reencoding.  A 4k random write will update one
>>>>>>>>> blob out of
>>>>>>>>> ~100 (or whatever it is).
>>>>>>>>>
>>>>>>>>>>>>> 2. This turns the blob Put into rocksdb into two memcpy
>>> stages:
>>>>>>>>>>>>> one to assemble the bufferlist (lots of bufferptrs to each
>>>>>>>>>>>>> untouched
>>>>>>>>>>>>> blob) into a single rocksdb::Slice, and another memcpy
>>>>>>>>>>>>> somewhere inside rocksdb to copy this into the write buffer.
>>>>>>>>>>>>> We could extend the rocksdb interface to take an iovec so
>>>>>>>>>>>>> that the first memcpy isn't needed (and rocksdb will
>>>>>>>>>>>>> instead iterate over our buffers and copy them directly into its
>>> write buffer).
>>>>>>>>>>>>> This is probably a pretty small piece of the overall time...
>>>>>>>>>>>>> should verify with a profiler
>>>>>>>>>>> before investing too much effort here.
>>>>>>>>>>>> I doubt it's the memcpy that's really the expensive part.
>>>>>>>>>>>> I'll bet it's that we're transcoding from an internal to an
>>>>>>>>>>>> external representation on an element by element basis. If
>>>>>>>>>>>> the iovec scheme is going to help, it presumes that the
>>>>>>>>>>>> internal data structure essentially matches the external
>>>>>>>>>>>> data structure so that only an iovec copy is required. I'm
>>>>>>>>>>>> wondering how compatible this is with the current concepts
>>>>>>>>>>>> of
>>>>> lextext/blob/pextent.
>>>>>>>>>>> I'm thinking of the xattr case (we have a bunch of strings to
>>>>>>>>>>> copy
>>>>>>>>>>> verbatim) and updated-one-blob-and-kept-99-unchanged case:
>>>>>>>>>>> instead of memcpy'ing them into a big contiguous buffer and
>>>>>>>>>>> having rocksdb memcpy
>>>>>>>>>>> *that* into it's larger buffer, give rocksdb an iovec so that
>>>>>>>>>>> they smaller buffers are assembled only once.
>>>>>>>>>>>
>>>>>>>>>>> These buffers will be on the order of many 10s to a couple
>>>>>>>>>>> 100s of
>>>>>>>> bytes.
>>>>>>>>>>> I'm not sure where the crossover point for constructing and
>>>>>>>>>>> then traversing an iovec vs just copying twice would be...
>>>>>>>>>> Yes this will eliminate the "extra" copy, but the real problem
>>>>>>>>>> is that the oNode itself is just too large. I doubt removing
>>>>>>>>>> one extra copy is going to suddenly "solve" this problem. I
>>>>>>>>>> think we're going to end up rejiggering things so that this
>>>>>>>>>> will be much less of a problem than it is now -- time will tell.
>>>>>>>>> Yeah, leaving this one for last I think... until we see memcpy
>>>>>>>>> show up in the profile.
>>>>>>>>>
>>>>>>>>>>>>> 3. Even if we do the above, we're still setting a big (~4k
>>>>>>>>>>>>> or
>>>>>>>>>>>>> more?) key into rocksdb every time we touch an object, even
>>>>>>>>>>>>> when a tiny
>>>>>>>>>> See my analysis, you're looking at 8-10K for the RBD random
>>>>>>>>>> write case
>>>>>>>>>> -- which I think everybody cares a lot about.
>>>>>>>>>>
>>>>>>>>>>>>> amount of metadata is getting changed.  This is a
>>>>>>>>>>>>> consequence of embedding all of the blobs into the onode
>>>>>>>>>>>>> (or bnode).  That seemed like a good idea early on when
>>>>>>>>>>>>> they were tiny (i.e., just an extent), but now I'm not so
>>>>>>>>>>>>> sure.  I see a couple of different
>>>>>>>>> options:
>>>>>>>>>>>>> a) Store each blob as ($onode_key+$blobid).  When we load
>>>>>>>>>>>>> the onode, load the blobs too.  They will hopefully be
>>>>>>>>>>>>> sequential in rocksdb (or definitely sequential in zs).
>>>>>>>>>>>>> Probably go back to using an
>>>>>>>>> iterator.
>>>>>>>>>>>>> b) Go all in on the "bnode" like concept.  Assign blob ids
>>>>>>>>>>>>> so that they are unique for any given hash value.  Then
>>>>>>>>>>>>> store the blobs as $shard.$poolid.$hash.$blobid (i.e.,
>>>>>>>>>>>>> where the bnode is now).  Then when clone happens there is
>>>>>>>>>>>>> no onode->bnode migration magic happening--we've already
>>>>>>>>>>>>> committed to storing blobs in separate keys.  When we load
>>>>>>>>>>>>> the onode, keep the conditional bnode loading we already
>>>>>>>>>>>>> have.. but when the bnode is loaded load up all the blobs
>>>>>>>>>>>>> for the hash key.  (Okay, we could fault in blobs
>>>>>>>>>>>>> individually, but that code will be more
>>>>>>>>>>>>> complicated.)
>>>>>>>>>> I like this direction. I think you'll still end up demand
>>>>>>>>>> loading the blobs in order to speed up the random read case.
>>>>>>>>>> This scheme will result in some space-amplification, both in
>>>>>>>>>> the lextent and in the blob-map, it's worth a bit of study too
>>>>>>>>>> see how bad the metadata/data ratio becomes (just as a guess,
>>>>>>>>>> $shard.$poolid.$hash.$blobid is probably 16 +
>>>>>>>>>> 16 + 8 + 16 bytes in size, that's ~60 bytes of key for each
>>>>>>>>>> Blob
>>>>>>>>>> -- unless your KV store does path compression. My reading of
>>>>>>>>>> RocksDB sst file seems to indicate that it doesn't, I
>>>>>>>>>> *believe* that ZS does [need to confirm]). I'm wondering if
>>>>>>>>>> the current notion
>>>>> of local vs.
>>>>>>>>>> global blobs isn't actually beneficial in that we can give
>>>>>>>>>> local blobs different names that sort with their associated
>>>>>>>>>> oNode (which probably makes the space-amp worse) which is an
>>>>>>>>>> important optimization. We do need to watch the space amp,
>>>>>>>>>> we're going to be burning DRAM to make KV accesses cheap and
>>>>>>>>>> the amount of DRAM
>>>>> is
>>>>>>>> proportional to the space amp.
>>>>>>>>> I got this mostly working last night... just need to sort out
>>>>>>>>> the clone case (and clean up a bunch of code).  It was a
>>>>>>>>> relatively painless transition to make, although in its current
>>>>>>>>> form the blobs all belong to the bnode, and the bnode if
>>>>>>>>> ephemeral but remains in
>>>>>>>> memory until all referencing onodes go away.
>>>>>>>>> Mostly fine, except it means that odd combinations of clone
>>>>>>>>> could leave lots of blobs in cache that don't get trimmed.
>>>>>>>>> Will address that
>>>>> later.
>>>>>>>>> I'll try to finish it up this morning and get it passing tests and posted.
>>>>>>>>>
>>>>>>>>>>>>> In both these cases, a write will dirty the onode (which is
>>>>>>>>>>>>> back to being pretty small.. just xattrs and the lextent
>>>>>>>>>>>>> map) and 1-3 blobs (also
>>>>>>>>>>> now small keys).
>>>>>>>>>> I'm not sure the oNode is going to be that small. Looking at
>>>>>>>>>> the RBD random 4K write case, you're going to have 1K entries
>>>>>>>>>> each of which has an offset, size and a blob-id reference in
>>>>>>>>>> them. In my current oNode compression scheme this compresses
>>>>>>>>>> to about 1 byte
>>>>> per entry.
>>>>>>>>>> However, this optimization relies on being able to cheaply
>>>>>>>>>> renumber the blob-ids, which is no longer possible when the
>>>>>>>>>> blob-ids become parts of a key (see above). So now you'll have
>>>>>>>>>> a minimum of 1.5-3 bytes extra for each blob-id (because you
>>>>>>>>>> can't assume that the blob-ids
>>>>>>>>> become "dense"
>>>>>>>>>> anymore) So you're looking at 2.5-4 bytes per entry or about
>>>>>>>>>> 2.5-4K Bytes of lextent table. Worse, because of the variable
>>>>>>>>>> length encoding you'll have to scan the entire table to
>>>>>>>>>> deserialize it (yes, we could do differential editing when we
>>>>>>>>>> write but that's another
>>>>>>>> discussion).
>>>>>>>>>> Oh and I forgot to add the 200-300 bytes of oNode and xattrs :).
>>>>>>>>>> So while this looks small compared to the current ~30K for the
>>>>>>>>>> entire thing oNode/lextent/blobmap, it's NOT a huge gain over
>>>>>>>>>> 8-10K of the compressed oNode/lextent/blobmap scheme that I
>>>>> published earlier.
>>>>>>>>>> If we want to do better we will need to separate the lextent
>>>>>>>>>> from the oNode also. It's relatively easy to move the lextents
>>>>>>>>>> into the KV store itself (there are two obvious ways to deal
>>>>>>>>>> with this, either use the native offset/size from the lextent
>>>>>>>>>> itself OR create 'N' buckets of logical offset into which we
>>>>>>>>>> pour entries -- both of these would add somewhere between 1
>>>>>>>>>> and 2 KV look-ups
>>>>> per
>>>>>>>>>> operation
>>>>>>>>>> -- here is where an iterator would probably help.
>>>>>>>>>>
>>>>>>>>>> Unfortunately, if you only process a portion of the lextent
>>>>>>>>>> (because you've made it into multiple keys and you don't want
>>>>>>>>>> to load all of
>>>>>>>>>> them) you no longer can re-generate the refmap on the fly
>>>>>>>>>> (another key space optimization). The lack of refmap screws up
>>>>>>>>>> a number of other important algorithms -- for example the
>>>>>>>>>> overlapping blob-map
>>>>>>>> thing, etc.
>>>>>>>>>> Not sure if these are easy to rewrite or not -- too
>>>>>>>>>> complicated to think about at this hour of the evening.
>>>>>>>>> Yeah, I forgot about the extent_map and how big it gets.  I
>>>>>>>>> think, though, that if we can get a 4mb object with 1024 4k
>>>>>>>>> lextents to encode the whole onode and extent_map in under 4K
>>>>>>>>> that will be good enough.  The blob update that goes with it
>>>>>>>>> will be ~200 bytes, and benchmarks aside, the 4k random write
>>>>>>>>> 100% fragmented object is a worst
>>>>>>>> case.
>>>>>>>>
>>>>>>>> Yes, it's a worst-case. But it's a
>>>>>>>> "worst-case-that-everybody-looks-at" vs. a
>>>>>>>> "worst-case-that-almost-
>>>>> nobody-looks-at".
>>>>>>>> I'm still concerned about having an oNode that's larger than a 4K
>>> block.
>>>>>>>>
>>>>>>>>> Anyway, I'll get the blob separation branch working and we can
>>>>>>>>> go from there...
>>>>>>>>>
>>>>>>>>> sage
>>>>>>>> --
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