High System CPU usage because of system.currentTimeMillis()

假如想象 提交于 2021-02-08 12:22:41

问题


I was debugging high System CPU usage (Not user CPU usage) on of our storm supervisors (Wheezy machine). Here are the observations

Output of perf for the relevant process:

Events: 10K cpu-clock
16.40%  java  [kernel.kallsyms]   [k] system_call_after_swapgs
13.95%  java  [kernel.kallsyms]   [k] pvclock_clocksource_read
12.76%  java  [kernel.kallsyms]   [k] do_gettimeofday
12.61%  java  [vdso]              [.] 0x7ffe0fea898f
 9.02%  java  perf-17609.map      [.] 0x7fcabb8b85dc
 7.16%  java  [kernel.kallsyms]   [k] copy_user_enhanced_fast_string
 4.97%  java  [kernel.kallsyms]   [k] native_read_tsc
 2.88%  java  [kernel.kallsyms]   [k] sys_gettimeofday
 2.82%  java  libjvm.so           [.] os::javaTimeMillis()
 2.39%  java  [kernel.kallsyms]   [k] arch_local_irq_restore

Caught this in strace of a thread of the relevant process

% time     seconds  usecs/call     calls    errors syscall
------ ----------- ----------- --------- --------- ----------------
100.00    0.000247           0     64038           gettimeofday
  0.00    0.000000           0         1           rt_sigreturn
  0.00    0.000000           0         1           futex
------ ----------- ----------- --------- --------- ----------------
100.00    0.000247                 64040           total

Finally figured out that the thread was running in while(true) and one of the calls inside was System.currentTimeMillis(). I disabled the same and the system CPU % went down from 50% to 3%. So clearly that was the issue. What I fail to understand is, in the presence of vDSO these kernel calls should only happen in the user's address space. But as is clear from perf report, kernel calls are indeed taking place in the kernel space. Any pointers on this? Kernel version: 3.2.0-4-amd64 Debian 3.2.86-1 x86_64 GNU/Linux
clock type: kvm

Adding code of the problematic thread.

@RequiredArgsConstructor
public class TestThread implements Runnable {
    private final Queue<String> queue;
    private final Publisher publisher;
    private final int maxBatchSize;

    private long lastPushTime;
    @Override
    public void run() {
        lastPushTime = System.currentTimeMillis();
        List<String> events = new ArrayList<>();
        while (true) {
            try {
                String message = queue.poll();
                long lastPollTime = System.currentTimeMillis();
                if (message != null) {
                    events.add(message);
                    pushEvents(events, false);
                }

                // if event threshold hasn't reached the size, but it's been there for over 10seconds, push it.
                if ((lastPollTime - lastPushTime > 10000) && (events.size() > 0)) {
                    pushEvents(events, true);
                }
            } catch (Exception e) {
                // Log and do something
            }
        }
    }

    private void pushEvents(List<String> events, boolean forcePush) {
        if (events.size() >= maxBatchSize || forcePush) {
            pushToHTTPEndPoint(events);
            events.clear();
            lastPushTime = System.currentTimeMillis();
        }
    }

    private void pushToHTTPEndPoint(List<String> events) {
        publisher.publish(events);
    }
}

回答1:


What I fail to understand is, in the presence of vDSO these kernel calls should only happen in the user's address space. But as is clear from perf report, kernel calls are indeed taking place in the kernel space. Any pointers on this?

vDSO could be disabled on a virtual system. KVM uses PVClock (you could read more about in this nice article) and it depends on kernel version. For example, we could see here that VCLOCK_MODE is never overridden. On the other hand, here it is changed vclock_mode - and vclock_mode indicator for vDSO too.

This support was introduced in this commit and released in 3.8 version of Linux kernel.

Generally, in my practice, if you call something inside "while(true)" for a long time, you will always see a big CPU consumption.

Of course, Blocking Queue is enough in most cases, but if you need good latency and performance, you could use spinning too, without thread blocking, but you should limit spin cycles and make benchmarks to measure the impact of this optimization. The meta code could be something like:

int spin = 100;
while(spin-- > 0) {
    // try to get result
}
// still no result -> execute blocking code



回答2:


There is nothing else of note inside the loop, so you are spinning on System.currentTimeMillis()

vDSO will help improve the performance of System.currentTimeMillis(), but does it really change the classification of the CPU from "System" to "User"? I don't know, sorry.

This thread is going to be consuming 100% CPU, does it make a lot of difference whether it is classified as "System" or "User"?

You should rewrite this code to use a non-spin wait, for example BlockingQueue.poll(timeout)

What is your actual question here?

What I fail to understand is, in the presence of vDSO these kernel calls should only happen in the user's address space. But as is clear from perf report, kernel calls are indeed taking place in the kernel space. Any pointers on this?

Why does it matter how the CPU time spent inside this spin-lock is classified?

According to User CPU time vs System CPU time? the "System CPU Time" is:

System CPU Time: Amount of time the processor worked on operating system's functions connected to that specific program.

By that definition, time spent spinning on the System.currentTimeMillis() would count as System time, even if it did not require a user-to-kernel mode switch due to vDSO.




回答3:


So I figured out the issue here. To give more context, the question was more about the fact that vDSO making system calls(Apologies if the original post was misleading!). The clock source for this kernel version (kvmclock) didn't have support for virtual system calls and hence real system calls were happening. It was introduced in this commit https://github.com/torvalds/linux/commit/3dc4f7cfb7441e5e0fed3a02fc81cdaabd28300a#diff-5a34e1e52f50e00cef4b0d0ff3fef8f7 (Thanks to egorlitvinenko for pointing this out.

Also, I do understand that anything in while(true) will consume CPU. Since this was in apache storm context where the call was to essentially batch events before making HTTP call, this could've been done in a better way by using tick tuples support of apache storm.




回答4:


by reading your code, there is no control code to block the while loop, except publisher.publish(events)and queue.poll(),that means this thread is busy in while loop,never take a break.

in my opinion,you need to limit the calls on System.currentTimeMillis().a good choice is make queue.poll() blocking,some pseudocode :

while (!stopWork) {
    try {
        // wait for messages with 10 seconds timeout,if no message or timeout return empty list
        // this is easy to impl with BlockingQueue
        List<String> events = queue.poll(10,TimeUnit.SECOND);
        if (events.isEmpty()) {
            continue;
        }
        new java.util.Timer().schedule( 
            new java.util.TimerTask() {
                @Override
                public void run() {
                    pushEvents(events, true);
                }
            }, 1000*10 );
    } catch (Exception e) {
        // Log and do something
    }
}


来源:https://stackoverflow.com/questions/48027025/high-system-cpu-usage-because-of-system-currenttimemillis

易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!