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> wrote:
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>> 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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