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Posted to issues@mesos.apache.org by "James Mulcahy (JIRA)" <ji...@apache.org> on 2015/10/06 02:03:26 UTC
[jira] [Created] (MESOS-3589) Mesos tasks with many ports cause
significant master performance problems
James Mulcahy created MESOS-3589:
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Summary: Mesos tasks with many ports cause significant master performance problems
Key: MESOS-3589
URL: https://issues.apache.org/jira/browse/MESOS-3589
Project: Mesos
Issue Type: Bug
Affects Versions: 0.23.0
Reporter: James Mulcahy
Today, I used a framework to fire off some tasks which each requested a lot of ports. When doing so, the meson-master performance drops heavily.
With 70 tasks each requesting 100 ports, the master seems to spend the majority (~90%) of its time dealing with merging and coalescing Value_Range objects.
I'll attach some text views of the output of 'perf' record/report from the meson-master during this. The call-graph trace for the most frequently sampled call is:
{{
- 4.42% mesos-master mesos-master [.] google::protobuf::internal::RepeatedPtrFieldBase::size() const
- google::protobuf::internal::RepeatedPtrFieldBase::size() const
- 37.05% mesos::Value_Ranges::range_size() const
- 91.07% mesos::coalesce(mesos::Value_Ranges*, mesos::Value_Range const&)
- mesos::coalesce(mesos::Value_Ranges*, mesos::Value_Ranges const&)
- 68.35% mesos::operator+=(mesos::Value_Ranges&, mesos::Value_Ranges const&)
- 99.46% Option<mesos::Value_Ranges> mesos::Resources::get<mesos::Value_Ranges>(std::string const&) const
- mesos::internal::model(mesos::Resources const&)
- 97.58% mesos::internal::model(mesos::internal::Task const&)
mesos::internal::master::model(mesos::internal::master::Framework const&)
mesos::internal::master::Master::Http::state(process::http::Request const&) const
mesos::internal::master::Master::initialize()::{lambda(process::http::Request const&)#9}::operator()(process::http::Request const&) const
std::_Function_handler<process::Future<process::http::Response> (process::http::Request const&), mesos::internal::master::Master::initialize()::{lambda(process::http::Request const&)#9}>::_M_invoke(std::_Any_data const&, process::http::Request const&)
std::function<process::Future<process::http::Response> (process::http::Request const&)>::operator()(process::http::Request const&) const
process::ProcessBase::visit(process::HttpEvent const&)
process::HttpEvent::visit(process::EventVisitor*) const
process::ProcessBase::serve(process::Event const&)
process::ProcessManager::resume(process::ProcessBase*)
process::schedule(void*)
start_thread
}}
The top ~80 call sides pretty much all relate to Value_Range handling, and account for 90% of the runtime of the mesos-master.
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