I don't see anything obviously wrong with your code.

Since this test is sending RPCs serially instead of in parallel, it's
possible that there are too many network round-trips happening here, each
one of which would increase latency because the next operation is blocking
on the previous one.  Can you try running with the environment
variables GRPC_VERBOSITY=DEBUG
GRPC_TRACE=tcp?  Or, alternatively, getting a wireshark capture of the
network communication?  That might help us see how many round-trips are
happening here.

You might also consider whether sending a bunch of RPCs serially is
actually a realistic benchmark for your production workload.  You might get
better performance by parallelizing the requests from the client.

On Fri, Sep 3, 2021 at 2:29 AM Sureshbabu Seshadri <sureshbabu8...@gmail.com>
wrote:

> Thanks Mark. The below link has source code of my sample, please let me
> know if you need any other information to analyze
>
>
> https://drive.google.com/file/d/12PH65OYwflaPBpa2a-yMcBqSE3xYX9S-/view?usp=sharing
>
>
> On Thursday, September 2, 2021 at 3:45:04 AM UTC+5:30 Mark D. Roth wrote:
>
>> I'm so sorry for not responding sooner!  For some reason, gmail
>> tagged your messages as spam, so I didn't see them. :(
>>
>> On Fri, Aug 27, 2021 at 10:55 PM Sureshbabu Seshadri <
>> sureshb...@gmail.com> wrote:
>>
>>> Dear GRPC team,
>>> Can any one help on this?
>>>
>>> On Friday, August 13, 2021 at 12:53:21 PM UTC+5:30 Sureshbabu Seshadri
>>> wrote:
>>>
>>>> Mark,
>>>> Please find the grpc ttrace logs in the following link
>>>> https://drive.google.com/file/d/15y7KzyCtIeAoYSUzyPHpY4gcr7uUnIP0/view?usp=sharing
>>>>
>>>> I am not able to upload files directly here. Please note that the
>>>> profiling is done for same API called in loop for 1000 times and let me
>>>> know.
>>>>
>>>> On Thursday, August 12, 2021 at 11:27:16 AM UTC+5:30 Sureshbabu
>>>> Seshadri wrote:
>>>>
>>>>> Thanks Mark, my current profile does not include channel creation
>>>>> time. Profiling is only applicable for RPC calls.
>>>>
>>>>
>> Note that when you first create a gRPC channel, it does not actually do
>> any name resolution or connect to any servers until you either explicitly
>> tell it to do so (such as by calling channel->WaitForConnected(gpr_
>> inf_future(GPR_CLOCK_MONOTONIC))) or send the first RPC on it.  So if
>> you don't proactively tell the channel to connect but start counting the
>> elapsed time right before you send the first RPC, then you are actually
>> including the channel connection time in your benchmark.
>>
>> From the trace log above, though, it seems clear that the problem you're
>> seeing here is not actually channel startup time.  The channel starts to
>> connect on this line:
>>
>> I0812 21:30:17.760000000  5748 resolving_lb_policy.cc:161] 
>> resolving_lb=000001EBA08F00D0: starting name resolution
>>
>>
>> And it finishes connecting here:
>>
>> I0812 21:30:17.903000000 44244 client_channel.cc:1362] 
>> chand=000001EBA08F35B0: update: state=READY picker=000001EBA0900B70
>>
>>
>> So it took the channel only 0.143 seconds to get connected, which means
>> that's probably not the problem you're seeing here.
>>
>> Once it did get connected, it looks like it took about 8 seconds to
>> process 1000 RPCs, which does seem quite slow.
>>
>> Can you share the code you're using for the client and server?
>>
>>
>>
>>> We have an existing code base for IPC which uses CORBA architecture and
>>>>> we are trying to replace it with GRPC, similar sample in CORBA completes
>>>>> quickly that is 1000 RPCs are completed within 2 seconds in same network.
>>>>> Hence this is kind of roadblock for our migration.
>>>>>
>>>>> I will execute test with traces enabled and share the logs ASAP
>>>>>
>>>>> On Wednesday, August 11, 2021 at 10:38:48 PM UTC+5:30 Mark D. Roth
>>>>> wrote:
>>>>>
>>>>>> You can check to see whether the problem is a channel startup problem
>>>>>> or a latency problem by calling
>>>>>> channel->WaitForConnected(gpr_inf_future(GPR_CLOCK_MONOTONIC))
>>>>>> before you start sending RPCs on the channel.  That call won't return 
>>>>>> until
>>>>>> the channel has completed the DNS lookup and established a connection to
>>>>>> the server, so if you start timing after that, your timing will exclude 
>>>>>> the
>>>>>> channel startup time.
>>>>>>
>>>>>> If you see that the channel startup time is high but the RPCs flow
>>>>>> quickly once the startup time is passed, then the problem is either the 
>>>>>> DNS
>>>>>> lookup or establishing a connection to the server.  In that case, please
>>>>>> try running with the environment variables GRPC_VERBOSITY=DEBUG
>>>>>> GRPC_TRACE=client_channel_routing,pick_first and share the log, so
>>>>>> that we can help you figure out which one is the problem.
>>>>>>
>>>>>> If you see that the channel startup time is not that high but that
>>>>>> the RPCs are actually flowing more slowly over the network, then the
>>>>>> problem might be network congestion of some sort.
>>>>>>
>>>>>> Also, if the problem does turn out to be channel startup time, note
>>>>>> that it probably won't matter much in practice, as long as your 
>>>>>> application
>>>>>> creates the channel once and reuses it for all of its RPCs.  We do not
>>>>>> recommend a pattern where you create a channel, send a bunch of RPCs, 
>>>>>> then
>>>>>> destroy the channel, and then do that whole thing again later when you 
>>>>>> need
>>>>>> to send more RPCs.
>>>>>>
>>>>>> I hope this information is helpful.
>>>>>> On Sunday, August 8, 2021 at 9:34:43 AM UTC-7 sureshb...@gmail.com
>>>>>> wrote:
>>>>>>
>>>>>>> *Environment*
>>>>>>>
>>>>>>>    1. Both client and server are C++
>>>>>>>    2. Server might be running either locally or in different system
>>>>>>>    3. In case of remote server, it is in same network.
>>>>>>>    4. Using SYNC C++ server
>>>>>>>    5. Unary RPC
>>>>>>>
>>>>>>> Our performance numbers are very low for running 1000 RPC calls
>>>>>>> (continuous calls through loop for testing) it takes about 10 seconds 
>>>>>>> when
>>>>>>> server running in different PC.
>>>>>>>
>>>>>>> The client creates channel using *hostname:portnumber *method and
>>>>>>> using this approach the local server were also taking similar 10 seconds
>>>>>>> for 1000 calls. Later we modified channel creation for local server by
>>>>>>> using *localhost:port *then it was much improved performance, all
>>>>>>> the 1000 calls completed within 300 ms.
>>>>>>>
>>>>>>> Based on the above test, we strongly believe DNS resolution seems to
>>>>>>> cause slow performance as change hostname to localhost results in huge
>>>>>>> performance gain, however that is not possible for servers running on
>>>>>>> different PC.
>>>>>>>
>>>>>>> Can someone help with this? Is DNS the real culprit or what else can
>>>>>>> be changed to get good performance throughput in this case.
>>>>>>>
>>>>>>> Please let me know if there any other input required for this.
>>>>>>>
>>>>>> --
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>>>
>>
>>
>> --
>> Mark D. Roth <ro...@google.com>
>> Software Engineer
>> Google, Inc.
>>
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-- 
Mark D. Roth <r...@google.com>
Software Engineer
Google, Inc.

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