lkml.org 
[lkml]   [2021]   [Jun]   [17]   [last100]   RSS Feed
Views: [wrap][no wrap]   [headers]  [forward] 
 
Messages in this thread
/
From
SubjectRe: [PATCH] io_uring: reduce latency by reissueing the operation
Date
On 6/11/21 4:55 AM, Olivier Langlois wrote:
> On Thu, 2021-06-10 at 20:32 +0100, Pavel Begunkov wrote:
>> On 6/10/21 6:56 PM, Olivier Langlois wrote:
>>>
>>>
>>> Can you think of other numbers that would be useful to know to
>>> evaluate
>>> the patch performance?
>>
>> If throughput + latency (avg + several nines) are better (or any
>> other measurable improvement), it's a good enough argument to me,
>> but not sure what test case you're looking at. Single threaded?
>> Does it saturate your CPU?
>>
> I don't know what are the ideal answers to your 2 last questions ;-)
>
> I have several possible configurations to my application.
>
> The most complex one is a 2 threads setup each having their own
> io_uring instance where one of the threads is managing 50-85 TCP
> connections over which JSON stream encapsulated in the WebSocket
> protocol are received.
>
> That more complex setup is also using IORING_SETUP_ATTACH_WQ to share
> the sqpoll thread between the 2 instances.
>
> In that more complex config, the sqpoll thread is running at 85-95% of
> its dedicated CPU.
>
> For the patch performance testing I did use the simplest config:
> Single thread, 1 TCP connection, no sqpoll.

Queue depth (QD) 1, right?

> To process an incoming 5Mbps stream, it takes about 5% of the CPU.

I see, under utilised, and so your main concern is latency
here.

>
> Here is the testing methodology:
> add 2 fields in struct io_rw:
> u64 startTs;
> u8 readType;
>
> startTs is set with ktime_get_raw_fast_ns() in io_read_prep()
>
> readType is set to:
> 0: data ready
> 1: use fast poll (we ignore those)
> 2: reissue
> 3: async
>
> readType is used to know what type of measurement it is at the
> recording point.
>
> end time is measured at 3 recording point:
> 1. In __io_queue_sqe() when io_issue_sqe() returns 0
> 2. In __io_queue_sqe() after io_queue_async_work() call
> 3. In io_wq_submit_work() after the while loop.
>
> So I took 4 measurements.
>
> 1. The time it takes to process a read request when data is already
> available
> 2. The time it takes to process by calling twice io_issue_sqe() after
> vfs_poll() indicated that data was available
> 3. The time it takes to execute io_queue_async_work()
> 4. The time it takes to complete a read request asynchronously
>
> Before presenting the results, I want to mention that 2.25% of the
> total number of my read requests ends up in the situation where the
> read() syscall did return EAGAIN but data became available by the time
> vfs_poll gets called.
>
> My expectations were that reissuing a sqe could be on par or a bit more
> expensive than placing it on io-wq for async processing and that would
> put the patch in some gray zone with pros and cons in terms of
> performance.
>
> The reality is instead super nice (numbers in nSec):
>
> ready data (baseline)
> avg 3657.94182918628
> min 580
> max 20098
> stddev 1213.15975908162
>
> reissue completion
> average 7882.67567567568
> min 2316
> max 28811
> stddev 1982.79172973284
>
> insert io-wq time
> average 8983.82276995305
> min 3324
> max 87816
> stddev 2551.60056552038
>
> async time completion
> average 24670.4758861127
> min 10758
> max 102612
> stddev 3483.92416873804
>
> Conclusion:
> On average reissuing the sqe with the patch code is 1.1uSec faster and
> in the worse case scenario 59uSec faster than placing the request on
> io-wq
>
> On average completion time by reissuing the sqe with the patch code is
> 16.79uSec faster and in the worse case scenario 73.8uSec faster than
> async completion.

Hah, you took it fundamentally. I'm trying to get it, correct me
I am mistaken.

1) it's avg completion for those 2.5%, not for all requests

2) Do they return equivalent number of bytes? And what the
read/recv size (e.g. buffer size)?

Because in theory can be that during a somewhat small delay for
punting to io-wq, more data had arrived and so async completion
pulls more data that takes more time. In that case the time
difference should also account the difference in amount of
data that it reads.

3) Curious, why read but not recv as you're working with sockets

4) Did you do any userspace measurements. And a question to
everyone in general, do we have any good net benchmarking tool
that works with io_uring? Like netperf? Hopefully spitting
out latency distribution.


Also, not particularly about reissue stuff, but a note to myself:
59us is much, so I wonder where the overhead comes from.
Definitely not the iowq queueing (i.e. putting into a list).
- waking a worker?
- creating a new worker? Do we manage workers sanely? e.g.
don't keep them constantly recreated and dying back.
- scheduling a worker?

Olivier, for how long did you run the test? >1 min?


> One important detail to mention about the async completion time, in the
> testing the ONLY way that a request can end up being completed async is
> if vfs_poll() reports that the file is ready. Otherwise, the request
> ends up being processed with io_uring fast poll feature.
>
> So there does not seem to have any downside to the patch. TBH, at the
> initial patch submission, I only did use my intuition to evaluate the
> merit of my patch but, thx to your healthy skepticism, Pavel, this did
> force me to actually measure the patch and it appears to incontestably
> improve performance for both the reissued SQE and also all the other
> sqes found in a batch submission.

Interesting what would be a difference if done through
io_req_task_work_add(), and what would be a percent of such reqs
for a hi-QD workload.

But regardless, don't expect any harm, so sounds good to me.
Agree with Jens' comment about return value. I think it will
go in quickly once resubmitted with the adjustment.


> Hopefully, the results will please you as much as they have for me!

--
Pavel Begunkov

\
 
 \ /
  Last update: 2021-06-17 20:11    [W:0.082 / U:0.180 seconds]
©2003-2020 Jasper Spaans|hosted at Digital Ocean and TransIP|Read the blog|Advertise on this site