Thanks for your reply, Eric!

The bug I observed only happened in production environment, and I haven't
figured out a way to repro it locally. I will definitely let you know if
there is any updates.

On Fri, Sep 16, 2016 at 9:25 PM Eric Anderson <ej...@google.com> wrote:

> Reading another thread made me want to tweak my statement:
>
>> Only in very heavy throughput (when we start talking about trying to
>> fully saturate a server NIC) should you even begin to consider do something
>> else.
>
>
> Even in that case you probably shouldn't use multiple Channels. Instead,
> you would want a load balancer that might make multiple connections to the
> backend. Use different channels when you are contacting different backends.
> That is the only form of "channel pool" you might want: to look up a single
> shared Channel per backend.
>
> On Fri, Sep 16, 2016 at 8:49 PM, Eric Anderson <ej...@google.com> wrote:
>
>> You should share a single channel across threads. Only in very heavy
>> throughput (when we start talking about trying to fully saturate a server
>> NIC) should you even begin to consider do something else.
>>
>> I can't say what bug you experienced before, but only doing one RPC on
>> each channel at a time is simpler and is less likely to encounter bugs and
>> interop issues. But if/when you encounter something like that, please bring
>> it to our attention so that it can be addressed.
>>
>> On Thu, Sep 15, 2016 at 5:01 PM, ran.bi via grpc.io <
>> grpc-io@googlegroups.com> wrote:
>>
>>> Hi
>>>
>>> I want to know what is the best practice to use GRPC client channels.
>>> For each GRPC client-server pair, should I just create a single channel
>>> that is shared among all threads, or should I create a pool of channels and
>>> make sure one channel is used by one thread at a time?
>>>
>>> I am asking this is because I used to run into mysterious issues that
>>> some channel got stuck in the middle of some long stream RPC and the client
>>> thread blocks forever, while the same issue never happens to "channel pool"
>>> model.
>>>
>>> Best
>>>
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>>
>

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