It is ok for us to release 7.0.0 and implement this issue in 7.0.1.

Vast majority of our applications need this functionality.

Tomas


Keith Wall wrote
> The test is sending persistent messages so the broker is obliged to
> write them to disk.  After the arrival of each message transfer, the
> Broker-J awaits the sync'd to disk (after the write) before sending
> the Disposition performative back to the client.  The Qpid JMS Client
> is awaiting the Disposition, so it is only then that the
> MessageProducer#send returns and the application can send the next
> message.   I infer that CPP Broker must be optimistically sending the
> Disposition back to the client before the data is sync'd, so that is
> why you see better performance (but with a lesser guarantee).   If you
> were to switch the Qpid JMS Client to jms.forceAsyncSend[1], I would
> expect you would see greater performance.   Let me ask a higher level
> question - what messaging guarantee does this application require?
> 
> [1] https://qpid.apache.org/releases/qpid-jms-0.27.0/docs/index.html
> 
> On 10 November 2017 at 15:50, Rob Godfrey <

> rob.j.godfrey@

> > wrote:
>> On 10 November 2017 at 16:39, Vavricka <

> vavricka.tomas@

> > wrote:
>>
>>> Hi,
>>>
>>> hardware:
>>> * Intel(R) Core(TM) i5-4570 CPU @ 3.20GHz
>>> * 16 GB RAM
>>> * HDD ST500DM002-1BD142
>>>
>>> timings:
>>> Currently Java Broker 6.1.1 seems to behave as version 7.0.0 RC. 10 - 30
>>> messages per second. Interesting is when I increase message size to
>>> 10kB.
>>> Messages per second are same but throughput is increased ten times.
>>> When I use nonpersistent messages everything goes smooth. Thousand of
>>> 1kB
>>> messages are sent within 1 second.
>>>
>>
>> So, this is more what I would expect (in the sense that 6.1 will behave
>> like 7.0 - the performance is unacceptable, but I think I understand it).
>>
>> I *think* the issue is that we have not yet implemented the optimisations
>> in the 1.0 layer for non-transactional durable messages to be processed
>> asynchronously.  Because of this the rate of message processing is
>> dependent upon how many times fsync() can be called a second.  500/s is
>> probably about right for a SAN, ~20 is what I saw from conventional hard
>> drives; for SSDs with a battery backed write cache I've gotten > 1000/s.
>> Because it is dependent upon the number of fsyncs rather than the
>> throughput of the disk, increasing the message size will not affect the
>> rate and thus you will see a linear improvement in throughput.
>>
>> Fixing this shouldn't actually be a huge change, and after it you should
>> see something more like the C++ broker behaviour.  Since this isn't (I
>> think) a regression between 7.0 and 6.1 I'd suggest that we progress with
>> the 7.0 release and then quickly follow that with a 7.0.1 that introduces
>> the necessary optimisation (we can essentially copy over the code from
>> the
>> 0-x protocol layers).
>>
>> -- Rob
>>
>>
>>>
>>> There are no extra JVM options, just the ones which are present in
>>> bin/qpid-server file.
>>>
>>> Heap and direct memory on broker is also default - -Xmx512m
>>> -XX:MaxDirectMemorySize=1536m. I tried to increase to four times larger
>>> ones
>>> -Xmx2048m -XX:MaxDirectMemorySize=6000m, but there was no change in
>>> messages
>>> per second.
>>>
>>> Unfortunately vmstat gives same values pro CPU, I am sending at least
>>> top
>>> output.
>>>
>>> 6.1.1:
>>> %Cpu(s):  6.9 us,  0.3 sy,  0.0 ni, 68.5 id, 24.1 wa,  0.0 hi,  0.2 si,
>>> 0.0
>>> st
>>>
>>> 7.0.0:
>>> %Cpu(s):  2.4 us,  0.4 sy,  0.0 ni, 71.2 id, 25.9 wa,  0.0 hi,  0.0 si,
>>> 0.0
>>> st
>>>
>>> When we tried on server where message store was stored on SAN disk,
>>> sending
>>> of messages increased to 500 msg/sec. With C++ broker on same machine we
>>> are
>>> able to send 5000 msg/sec.
>>>
>>> ps. I cannot create queue in 7.0.0 version by webgui when queue contains
>>> '.'
>>> character, in 6.1.1 version queue with dot in name can be created by
>>> webgui
>>>
>>>
>>> Keith Wall wrote
>>> > Hi Tomas,
>>> >
>>> > Nor can I reproduce any discernible difference in performance between
>>> > 6.1.1 and the 7.0.0 RC with your Java code.  I have not tried the C++
>>> > yet.
>>> >
>>> > Can you share with us:
>>> >
>>> > * details of the hardware (including the storage) you are using for
>>> the
>>> > test.
>>> > * the timings you seeing for your tests for both the 6.1.1 case and
>>> 7.0.0
>>> > RC
>>> > * any extra JVM options you are passing either client or broker side.
>>> > * size of java heap (client side) and heap and direct memory (broker)
>>> >
>>> > Can I suggest that you collect vmstat type information for both runs
>>> > and compare?   My expectation is that CPU usage, disk I/O, and network
>>> > utilisation should be approximately equal between the two runs.
>>> >
>>> > cheers, Keith
>>>
>>>
>>>
>>>
>>>
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