Re: Horizontal scalability/sharding
От | Andres Freund |
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Тема | Re: Horizontal scalability/sharding |
Дата | |
Msg-id | 20150901182249.GL31526@awork2.anarazel.de обсуждение исходный текст |
Ответ на | Re: Horizontal scalability/sharding (Robert Haas <robertmhaas@gmail.com>) |
Ответы |
Re: Horizontal scalability/sharding
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Список | pgsql-hackers |
On 2015-09-01 14:11:21 -0400, Robert Haas wrote: > On Tue, Sep 1, 2015 at 2:04 PM, Tomas Vondra > <tomas.vondra@2ndquadrant.com> wrote: > > Memory bandwidth, for example. It's quite difficult to spot, because the > > intuition is that memory is fast, but thanks to improvements in storage (and > > stagnation in RAM bandwidth), this is becoming a significant issue. > > I'd appreciate any tips on how to spot problems of this type. But > it's my impression that perf, top, vmstat, and other Linux performance > tools will count time spent waiting for memory as CPU time, not idle > time. If that's correct, that wouldn't explain workloads where CPU > utilization doesn't reach 100%. Rather, it would show up as CPU time > hitting 100% while tps remains low. Yea. -e bus-cycles is a good start to measure where bus traffic isrelevant. Depending on the individual cpu other events can behelpful. > > Process-management overhead is another thing we tend to ignore, but once you > > get to many processes all willing to work at the same time, you need to > > account for that. > > Any tips on spotting problems in that area? Not perfect, but -e context-switches (general context switches) and -e syscalls:sys_enter_semop (for postgres enforced context switches) is rather useful when combined with --call-graph dwarf ('fp' sometimes doesn't see through libc which is most of the time not compiled with -fno-omit-frame-pointer). Greetings, Andres Freund
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