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https://issues.apache.org/jira/browse/CASSANDRA-13651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16110335#comment-16110335
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Norman Maurer commented on CASSANDRA-13651:
-------------------------------------------

Sorry for the late response.. didn't see the mention :(

So yes netty uses `epoll_wait` which only supports milli-seconds resulution so 
everything smaller then this will just cause `epoll_wait(...)` be called with a 
`0` and so a non-blocking check of ready fds. What we could do in our native 
transport implementation is that we make use of `timerfd` [1] to schedule 
timeouts but again this would only work for the case of using the native epoll 
transport and not when you use the nio transport (which works on all OS). So I 
think what you really want to do is have timeouts of >= 1ms. 

Comments and ideas welcome :)


> Large amount of CPU used by epoll_wait(.., .., .., 0)
> -----------------------------------------------------
>
>                 Key: CASSANDRA-13651
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-13651
>             Project: Cassandra
>          Issue Type: Bug
>            Reporter: Corentin Chary
>             Fix For: 4.x
>
>         Attachments: cpu-usage.png
>
>
> I was trying to profile Cassandra under my workload and I kept seeing this 
> backtrace:
> {code}
> epollEventLoopGroup-2-3 State: RUNNABLE CPU usage on sample: 240ms
> io.netty.channel.epoll.Native.epollWait0(int, long, int, int) Native.java 
> (native)
> io.netty.channel.epoll.Native.epollWait(int, EpollEventArray, int) 
> Native.java:111
> io.netty.channel.epoll.EpollEventLoop.epollWait(boolean) 
> EpollEventLoop.java:230
> io.netty.channel.epoll.EpollEventLoop.run() EpollEventLoop.java:254
> io.netty.util.concurrent.SingleThreadEventExecutor$5.run() 
> SingleThreadEventExecutor.java:858
> io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run() 
> DefaultThreadFactory.java:138
> java.lang.Thread.run() Thread.java:745
> {code}
> At fist I though that the profiler might not be able to profile native code 
> properly, but I wen't further and I realized that most of the CPU was used by 
> {{epoll_wait()}} calls with a timeout of zero.
> Here is the output of perf on this system, which confirms that most of the 
> overhead was with timeout == 0.
> {code}
> Samples: 11M of event 'syscalls:sys_enter_epoll_wait', Event count (approx.): 
> 11594448
> Overhead  Trace output                                                        
>                                                                               
>                                                      ◆
>   90.06%  epfd: 0x00000047, events: 0x7f5588c0c000, maxevents: 0x00002000, 
> timeout: 0x00000000                                                           
>                                                         ▒
>    5.77%  epfd: 0x000000b5, events: 0x7fca419ef000, maxevents: 0x00001000, 
> timeout: 0x00000000                                                           
>                                                         ▒
>    1.98%  epfd: 0x000000b5, events: 0x7fca419ef000, maxevents: 0x00001000, 
> timeout: 0x000003e8                                                           
>                                                         ▒
>    0.04%  epfd: 0x00000003, events: 0x2f6af77b9c00, maxevents: 0x00000020, 
> timeout: 0x00000000                                                           
>                                                         ▒
>    0.04%  epfd: 0x0000002b, events: 0x121ebf63ac00, maxevents: 0x00000040, 
> timeout: 0x00000000                                                           
>                                                         ▒
>    0.03%  epfd: 0x00000026, events: 0x7f51f80019c0, maxevents: 0x00000020, 
> timeout: 0x00000000                                                           
>                                                         ▒
>    0.02%  epfd: 0x00000003, events: 0x7fe4d80019d0, maxevents: 0x00000020, 
> timeout: 0x00000000
> {code}
> Running this time with perf record -ag for call traces:
> {code}
> # Children      Self       sys       usr  Trace output                        
>                                                 
> # ........  ........  ........  ........  
> ....................................................................................
> #
>      8.61%     8.61%     0.00%     8.61%  epfd: 0x000000a7, events: 
> 0x7fca452d6000, maxevents: 0x00001000, timeout: 0x00000000
>             |
>             ---0x1000200af313
>                |          
>                 --8.61%--0x7fca6117bdac
>                           0x7fca60459804
>                           epoll_wait
>      2.98%     2.98%     0.00%     2.98%  epfd: 0x000000a7, events: 
> 0x7fca452d6000, maxevents: 0x00001000, timeout: 0x000003e8
>             |
>             ---0x1000200af313
>                0x7fca6117b830
>                0x7fca60459804
>                epoll_wait
> {code}
> That looks like a lot of CPU used to wait for nothing. I'm not sure if pref 
> reports a per-CPU percentage or a per-system percentage, but that would be 
> still be 10% of the total CPU usage of Cassandra at the minimum.
> I went further and found the code of all that: We schedule a lot of 
> {{Message::Flusher}} with a deadline of 10 usec (5 per messages I think) but 
> netty+epoll only support timeouts above the milliseconds and will convert 
> everything bellow to 0.
> I added some traces to netty (4.1):
> {code}
> diff --git 
> a/transport-native-epoll/src/main/java/io/netty/channel/epoll/EpollEventLoop.java
>  
> b/transport-native-epoll/src/main/java/io/netty/channel/epoll/EpollEventLoop.java
> index 909088fde..8734bbfd4 100644
> --- 
> a/transport-native-epoll/src/main/java/io/netty/channel/epoll/EpollEventLoop.java
> +++ 
> b/transport-native-epoll/src/main/java/io/netty/channel/epoll/EpollEventLoop.java
> @@ -208,10 +208,15 @@ final class EpollEventLoop extends 
> SingleThreadEventLoop {
>          long currentTimeNanos = System.nanoTime();
>          long selectDeadLineNanos = currentTimeNanos + 
> delayNanos(currentTimeNanos);
>          for (;;) {
> -            long timeoutMillis = (selectDeadLineNanos - currentTimeNanos + 
> 500000L) / 1000000L;
> +            long timeoutNanos = selectDeadLineNanos - currentTimeNanos + 
> 500000L;
> +            long timeoutMillis =  timeoutNanos / 1000000L;
> +            System.out.printf("timeoutNanos: %d, timeoutMillis: %d | 
> deadline: %d - now: %d | hastask: %d\n",
> +                    timeoutNanos, timeoutMillis,
> +                    selectDeadLineNanos, currentTimeNanos, hasTasks() ? 1 : 
> 0);
>              if (timeoutMillis <= 0) {
>                  if (selectCnt == 0) {
>                      int ready = Native.epollWait(epollFd.intValue(), events, 
> 0);
> +                    System.out.printf("ready: %d\n", ready);
>                      if (ready > 0) {
>                          return ready;
>                      }
> {code}
> And this gives :
> {code}
> timeoutNanos: 1000500000, timeoutMillis: 1000 | deadline: 2001782341816510 - 
> now: 2001781341816510 | hastask: 0
> timeoutNanos: 1000500000, timeoutMillis: 1000 | deadline: 2001782342087239 - 
> now: 2001781342087239 | hastask: 0
> timeoutNanos: 1000500000, timeoutMillis: 1000 | deadline: 2001782342166947 - 
> now: 2001781342166947 | hastask: 0
> timeoutNanos: 508459, timeoutMillis: 0 | deadline: 2001781342297987 - now: 
> 2001781342289528 | hastask: 0
> ready: 0
> timeoutNanos: 508475, timeoutMillis: 0 | deadline: 2001781342357719 - now: 
> 2001781342349244 | hastask: 0
> ready: 0
> timeoutNanos: 509327, timeoutMillis: 0 | deadline: 2001781342394822 - now: 
> 2001781342385495 | hastask: 0
> ready: 0
> timeoutNanos: 509339, timeoutMillis: 0 | deadline: 2001781342430192 - now: 
> 2001781342420853 | hastask: 0
> ready: 0
> timeoutNanos: 509510, timeoutMillis: 0 | deadline: 2001781342461588 - now: 
> 2001781342452078 | hastask: 0
> ready: 0
> timeoutNanos: 509493, timeoutMillis: 0 | deadline: 2001781342495044 - now: 
> 2001781342485551 | hastask: 0
> ready: 0
> {code}
> The nanosecond timeout all come from {{eventLoop.schedule(this, 10000, 
> TimeUnit.NANOSECONDS);}} in {{Message::Flusher}}.
> Knowing that, I'm not sure what would be best to do, and I have a hard time 
> understanding Message::Flusher, but to me it looks like trying to schedule 
> less tasks would probably help and I didn't think anything obvious that could 
> be done with netty.
> Changing {{if (++runsWithNoWork > 5)}} to 2 seems to help a little bit, but 
> that isn't really significant.



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