On Wed, Oct 2, 2013 at 5:34 AM, Ben Noordhuis <i...@bnoordhuis.nl> wrote:
> On Wed, Oct 2, 2013 at 12:48 AM, Kenneth Gunn <k...@161labs.com> wrote:
>> Hi!
>>
>>
>> My team is developing a service in node. We are experiencing high CPU
>> utilization and are attempting to profile, but are having a hard time
>> getting a sufficient picture of what’s going on.  We have experience
>> profiling in various other environments, but this is our first crack at
>> node.
>>
>>
>> We've tried a few different tools (including nodetime.com, which has been
>> useful for some things), and have spent most of our time with the v8
>> profiler. The main problem is that our viewable results only cover a small
>> portion of the program runtime. More than 80% of the time is spent in
>> libc.so, and that time isn't rolled up by function or caller in the node
>> program. Also, the C++ section, which I would expect to contain events in
>> the v8 interpreter itself, is empty. (Below, I'm including an abbreviated
>> output from the v8 tick processor.)
>
> You need to have the binutils package installed.  The tick processor
> uses `nm` to map addresses to symbol.
>
> Small nomenclature nit: V8 is a just-in-time compiler, not an interpreter.
>
>> We're aware that the v8 profiling output changes frequently, and we've
>> managed to figure out how to get the right tick processor version that
>> corresponds to the node version we are using. (Our steps are here:
>> https://gist.github.com/kennethgunn/6770664 ) We've seen very similar
>> results with versions of node ranging from v0.8.9 to v0.10.18.
>>
>>
>> Is libc actually responsible for 80+% of the CPU time?  If so, how do we
>> roll that up to the the higher level code leading to those calls?  Does it
>> sound like we're missing something here, or is there another set of tools we
>> should consider using? Your help is greatly appreciated!
>
> That's probably node.js sleeping in the epoll_wait() system call.
> Future versions of node.js will filter out such ticks but right now
> that's not possible, you have to keep your application busy when
> profiling.

Forgot to mention, you can get a reasonable approximation of non-idle
time by passing -j or --js to the tick processor.  That filters out
samples that aren't accountable to JS land.

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