Hi Dong,
I don't think in case of single client scenario there is much benefit. Single 
client has a limitation. The benefit with sharded TP is, a single OSD is 
scaling much more with the increase of clients since it is increasing 
parallelism (by reducing lock contention) in the filestore level. A quick check 
could be like this.

1. Create a single node, single OSD cluster and try putting load with 
increasing number of clients like 1,3, 5, 8,10. Small workload serving from 
memory should be ideal.
2. Compare the code with sharded TP against say firefly. You should be seeing 
firefly is not scaling with increasing number of clients.
3. try top -H on two different case and you should be seeing more threads in 
case of sharded tp were working in parallel than firefly.

Also, I am sure this latency result will not hold true in high workload , there 
you should be seeing more contention and as a result more latency.

Thanks & Regards
Somnath

-----Original Message-----
From: [email protected] 
[mailto:[email protected]] On Behalf Of Dong Yuan
Sent: Saturday, September 27, 2014 8:45 PM
To: ceph-devel
Subject: Latency Improvement Report for ShardedOpWQ

===== Test Purpose =====

Measure whether and how much Sharded OpWQ is better than Traditional OpWQ for 
random write scene.

===== Test Case =====

4K Object WriteFull for 1w times.

===== Test Method =====

Put the following static probes into codes when running tests to get the time 
span between enqeueue and dequeue of OpWQ.

Start: PG::enqueue_op before osd->op_wq.equeue call
End: OSD::dequeue_op.entry

===== Test Result =====

Traditional OpWQ: 109us(AVG), 40us(MIN)
ShardedOpWQ: 97us(AVG), 32us(MIN)

===== Test Conclusion =====

No Remarkably Improvement for Latency


--
Dong Yuan
Email:[email protected]
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