Thats correct. We created 65k buckets, using two hex characters as the naming convention, then stored the files in each container based on their first two characters in the file name. The end result was 20-50 files per bucket. Once all of the buckets were created and files were being loaded, we still observed an increase in latency overtime.
Is there a way to disable indexing? Or are there other settings you can suggest to attempt to speed this process up?
On Wed, Sep 4, 2013 at 5:21 PM, Mark Nelson <mark.nelson@xxxxxxxxxxx> wrote:
Just for clarification, distributing objects over lots of buckets isn't helping improve small object performance?
The degradation over time is similar to something I've seen in the past, with higher numbers of seeks on the underlying OSD device over time. Is it always (temporarily) resolved writing to a new empty bucket?
Mark
On 09/04/2013 02:45 PM, Bill Omer wrote:
We've actually done the same thing, creating 65k buckets and storing
20-50 objects in each. No change really, not noticeable anyway
On Wed, Sep 4, 2013 at 2:43 PM, Bryan Stillwell<bstillwell@xxxxxxxxxxxxxxx <mailto:bstillwell@photobucket.com>> wrote:
So far I haven't seen much of a change. It's still working through
removing the bucket that reached 1.5 million objects though (my
guess is that'll take a few more days), so I believe that might have
something to do with it.
Bryan
On Wed, Sep 4, 2013 at 12:14 PM, Mark Nelson<mark.nelson@xxxxxxxxxxx <mailto:mark.nelson@inktank.com>> wrote:<mailto:bill.omer@xxxxxxxxx <mailto:bill.omer@xxxxxxxxx>>>
Bryan,
Good explanation. How's performance now that you've spread the
load over multiple buckets?
Mark
On 09/04/2013 12:39 PM, Bryan Stillwell wrote:
Bill,
I've run into a similar issue with objects averaging
~100KiB. The
explanation I received on IRC is that there are scaling
issues if you're
uploading them all to the same bucket because the index
isn't sharded.
The recommended solution is to spread the objects out to
a lot of
buckets. However, that ran me into another issue once I hit
1000
buckets which is a per user limit. I switched the limit to
be unlimited
with this command:
radosgw-admin user modify --uid=your_username --max-buckets=0
Bryan
On Wed, Sep 4, 2013 at 11:27 AM, Bill Omer
<bill.omer@xxxxxxxxx <mailto:bill.omer@xxxxxxxxx>_________________________________________________ <mailto:ceph-users@xxxxxxxxxx.__com
wrote:
I'm testing ceph for storing a very large number of
small files.
I'm seeing some performance issues and would like to
see if anyone
could offer any insight as to what I could do to
correct this.
Some numbers:
Uploaded 184111 files, with an average file size of
5KB, using
10 separate servers to upload the request using Python
and the
cloudfiles module. I stopped uploading after 53
minutes, which
seems to average 5.7 files per second per node.
My storage cluster consists of 21 OSD's across 7
servers, with their
journals written to SSD drives. I've done a default
installation,
using ceph-deploy with the dumpling release.
I'm using statsd to monitor the performance, and what's
interesting
is when I start with an empty bucket, performance is
amazing, with
average response times of 20-50ms. However as time
goes on, the
response times go in to the hundreds, and the average
number of
uploads per second drops.
I've installed radosgw on all 7 ceph servers. I've
tested using a
load balancer to distribute the api calls, as well as
pointing the
10 worker servers to a single instance. I've not seen
a real
different in performance with this either.
Each of the ceph servers are 16 core Xeon 2.53GHz with
72GB of ram,
OCZ Vertex4 SSD drives for the journals and Seagate
Barracuda ES2
drives for storage.
Any help would be greatly appreciated.
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