Re: issues when bucket index deep-scrubbing

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On Mon, Oct 21, 2013 at 2:26 AM, Dominik Mostowiec
<dominikmostowiec@xxxxxxxxx> wrote:
> Hi,
> Thanks for your response.
>
>> That is definitely the obvious next step, but it's a non-trivial
>> amount of work and hasn't yet been started on by anybody. This is
>> probably a good subject for a CDS blueprint!
> But we want to split our big bucket into the smallest ones. We want to
> shard it before radosgw.
> Do you think this is a good idea to make workaround of this problem
> (big index issues)?

Oh, yes, this is a good workaround.
Sorry, I misread your initial post and thought you were discussing
sharding the bucket index itself, rather than sharding across buckets
in the application. :)
-Greg
Software Engineer #42 @ http://inktank.com | http://ceph.com


>
> Regards
> Dominik
>
>
>
> 2013/10/18 Gregory Farnum <greg@xxxxxxxxxxx>:
>> On Fri, Oct 18, 2013 at 4:01 AM, Dominik Mostowiec
>> <dominikmostowiec@xxxxxxxxx> wrote:
>>> Hi,
>>> I plan to shard my largest bucket because of issues of deep-scrubbing
>>> (when PG which index for this bucket is stored on is deep-scrubbed, it
>>> appears many slow requests and OSD grows in memory - after latest
>>> scrub it grows up to 9G).
>>>
>>> I trying to found why large bucket index make issues when it is scrubbed.
>>> On test cluster:
>>> radosgw-admin bucket stats --bucket=test1-XX
>>> { "bucket": "test1-XX",
>>>   "pool": ".rgw.buckets",
>>>   "index_pool": ".rgw.buckets",
>>>   "id": "default.4211.2",
>>> ...
>>>
>>> I guess index is in object .dir.default.4211.2. (pool: .rgw.buckets)
>>>
>>> rados -p .rgw.buckets get .dir.default.4211.2 -
>>> <empty>
>>>
>>> But:
>>> rados -p .rgw.buckets listomapkeys .dir.default.4211.2
>>> test_file_2.txt
>>> test_file_2_11.txt
>>> test_file_3.txt
>>> test_file_4.txt
>>> test_file_5.txt
>>>
>>> I guess that list of files are stored in leveldb not in one large file.
>>> 'omap' files are stored in {osd_dir}/current/omap/, the largest file
>>> that i found in this directory (on production) have 8.8M.
>>>
>>> I'm a little confused.
>>>
>>> How list of files (for bucket) is stored?
>>
>> The index is stored as a bunch of omap entries in a single object.
>>
>>> If list of objects in bucket is splitted on many small files in
>>> leveldb that large bucket (with many files) should not cause larger
>>> latency in PUT new object.
>>
>> That's not quite how it works. Leveldb has a custom storage format in
>> which it stores sets of keys based on both time of update and the
>> value of the key, so the size of the individual files in its directory
>> has no correlation to the number or size of any given set of entries.
>>
>>> Scrubbing also should not be a problem i think ...
>>
>> The problem you're running into is that scrubbing is done on an
>> object-by-object basis, and so the OSD is reading all of the keys
>> associated with that object out of leveldb, and processing them, at
>> once. This number can be very much larger than the 8MB file you've
>> found in the leveldb directory, as discussed above.
>>
>>> What you think about using a sharding to split big buckets into the
>>> smalest one to avoid the problems with big indexes?
>>
>> That is definitely the obvious next step, but it's a non-trivial
>> amount of work and hasn't yet been started on by anybody. This is
>> probably a good subject for a CDS blueprint!
>> -Greg
>> Software Engineer #42 @ http://inktank.com | http://ceph.com
>
>
>
> --
> Pozdrawiam
> Dominik
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