Tuvie commented on issue #1945:
URL:
https://github.com/apache/incubator-brpc/issues/1945#issuecomment-1294621087
>
具体是什么类型的polling需求呢？polling也有些副作用。我还在考虑应该怎么去实现更好
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wasphin commented on code in PR #1972:
URL: https://github.com/apache/incubator-brpc/pull/1972#discussion_r1007897388
##
community/release_cn.md:
##
@@ -615,3 +613,11 @@ Incubating community who made this release possible!
Best Regards,
Apache brpc (Incubating) community
```
wwbmmm commented on issue #1532:
URL:
https://github.com/apache/incubator-brpc/issues/1532#issuecomment-1294814279
> 那brpc的worker线程和tensorflow自己的线程肯定会产生资源竞争吧 怎么去平衡这个关系呢
不同线程肯定会竞争cpu，确保分配足够多的cpu即可。
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wwbmmm commented on code in PR #1972:
URL: https://github.com/apache/incubator-brpc/pull/1972#discussion_r1007904388
##
community/release_cn.md:
##
@@ -615,3 +613,11 @@ Incubating community who made this release possible!
Best Regards,
Apache brpc (Incubating) community
```
+
thorneliu opened a new pull request, #1973:
URL: https://github.com/apache/incubator-brpc/pull/1973
### What problem does this PR solve?
Issue Number:
https://github.com/apache/incubator-brpc/issues/1940
Problem Summary:
Invalid host in HTTP header if setting host via serv
+1, wait for 5 years
Jerry Tan 于2022年10月26日周三 17:01写道：
> Hi, guys,
>
>
> Apache brpc (incubating) has learned and grown much since our
>
> incubation in 2018-11-13. It is almost 4 years now. How time flies.
>
>
> Now, I'm glad to call on a discussion about whether we are ready for
> graduation.
wasphin commented on issue #1940:
URL:
https://github.com/apache/incubator-brpc/issues/1940#issuecomment-1295113341
Is it possible that we fix the host field after a server has been selected?
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wasphin opened a new issue, #104:
URL: https://github.com/apache/incubator-brpc-website/issues/104
Site Check For Podling: https://whimsy.apache.org/pods/project/brpc
```
$ git grep 'www.google-analytics.com'
themes/docsy/assets/vendor/bootstrap/site/_includes/header.html:37:
congxinbo commented on issue #1532:
URL:
https://github.com/apache/incubator-brpc/issues/1532#issuecomment-1295710036
> > 那brpc的worker线程和tensorflow自己的线程肯定会产生资源竞争吧 怎么去平衡这个关系呢
>
> 不同线程肯定会竞争cpu，确保分配足够多的cpu即可。
机器cpu固定的情况下 如果是高并发请求到server，而server内部又要调用tf去计算 worker对应的线程少了会导致服务阻塞耗时增加
