Re: [HACKERS] kqueue
Re: [HACKERS] kqueue
От:
Rui DeSousa <rui@crazybean.net>
Дата:
> On Apr 10, 2018, at 9:05 PM, Thomas Munro wrote: > > On Wed, Dec 6, 2017 at 12:53 AM, Thomas Munro > wrote: >> On Thu, Jun 22, 2017 at 7:19 PM, Thomas Munro >> wrote: >>> I don't plan to resubmit this patch myself, but I was doing some >>> spring cleaning and rebasing today and I figured it might be worth >>> quietly leaving a working patch here just in case anyone from the >>> various BSD communities is interested in taking the idea further. > > I heard through the grapevine of some people currently investigating > performance problems on busy FreeBSD systems, possibly related to the > postmaster pipe. I suspect this patch might be a part of the solution > (other patches probably needed to get maximum value out of this patch: > reuse WaitEventSet objects in some key places, and get rid of high > frequency PostmasterIsAlive() read() calls). The autoconf-fu in the > last version bit-rotted so it seemed like a good time to post a > rebased patch. > > -- > Thomas Munro > http://www.enterprisedb.com > Hi, I’m instrested in the kqueue patch and would like to know its current state and possible timeline for inclusion in the base code. I have several large FreeBSD systems running PostgreSQL 11 that I believe currently displays this issue. The system has 88 vCPUs, 512GB Ram, and very active application with over 1000 connections to the database. The system exhibits high kernel CPU usage servicing poll() for connections that are idle. I’ve being testing pg_bouncer to reduce the number of connections and thus system CPU usage; however, not all connections can go through pg_bouncer. Thanks, Rui.
Re: [HACKERS] kqueue
От:
Tom Lane <tgl@sss.pgh.pa.us>
Дата:
Peter Eisentraut writes:
> I took this patch for a quick spin on macOS. The result was that the
> test suite hangs in the test src/test/recovery/t/017_shm.pl. I didn't
> see any mentions of this anywhere in the thread, but that test is newer
> than the beginning of this thread. Can anyone confirm or deny this
> issue? Is it specific to macOS perhaps?
Yeah, I duplicated the problem in macOS Catalina (10.15.2), using today's
HEAD. The core regression tests pass, as do the earlier recovery tests
(I didn't try a full check-world though). Somewhere early in 017_shm.pl,
things freeze up with four postmaster-child processes stuck in 100%-
CPU-consuming loops. I captured stack traces:
(lldb) bt
* thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGSTOP
* frame #0: 0x00007fff6554dbb6 libsystem_kernel.dylib`kqueue + 10
frame #1: 0x0000000105511533 postgres`CreateWaitEventSet(context=, nevents=) at latch.c:622:19 [opt]
frame #2: 0x0000000105511305 postgres`WaitLatchOrSocket(latch=0x0000000112e02da4, wakeEvents=41, sock=-1, timeout=237000, wait_event_info=83886084) at latch.c:389:22 [opt]
frame #3: 0x00000001054a7073 postgres`CheckpointerMain at checkpointer.c:514:10 [opt]
frame #4: 0x00000001052da390 postgres`AuxiliaryProcessMain(argc=2, argv=0x00007ffeea9dded0) at bootstrap.c:461:4 [opt]
(lldb) bt
* thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGSTOP
* frame #0: 0x00007fff6554dbce libsystem_kernel.dylib`kevent + 10
frame #1: 0x0000000105511ddc postgres`WaitEventAdjustKqueue(set=0x00007fc8e8805920, event=0x00007fc8e8805958, old_events=) at latch.c:1034:7 [opt]
frame #2: 0x0000000105511638 postgres`AddWaitEventToSet(set=, events=, fd=, latch=, user_data=) at latch.c:778:2 [opt]
frame #3: 0x0000000105511342 postgres`WaitLatchOrSocket(latch=0x0000000112e030f4, wakeEvents=41, sock=-1, timeout=200, wait_event_info=83886083) at latch.c:397:3 [opt]
frame #4: 0x00000001054a6d69 postgres`BackgroundWriterMain at bgwriter.c:304:8 [opt]
frame #5: 0x00000001052da38b postgres`AuxiliaryProcessMain(argc=2, argv=0x00007ffeea9dded0) at bootstrap.c:456:4 [opt]
(lldb) bt
* thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGSTOP
* frame #0: 0x00007fff65549c66 libsystem_kernel.dylib`close + 10
frame #1: 0x0000000105511466 postgres`WaitLatchOrSocket [inlined] FreeWaitEventSet(set=) at latch.c:660:2 [opt]
frame #2: 0x000000010551145d postgres`WaitLatchOrSocket(latch=0x0000000112e03444, wakeEvents=, sock=-1, timeout=5000, wait_event_info=83886093) at latch.c:432 [opt]
frame #3: 0x00000001054b8685 postgres`WalWriterMain at walwriter.c:256:10 [opt]
frame #4: 0x00000001052da39a postgres`AuxiliaryProcessMain(argc=2, argv=0x00007ffeea9dded0) at bootstrap.c:467:4 [opt]
(lldb) bt
* thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGSTOP
* frame #0: 0x00007fff655515be libsystem_kernel.dylib`__select + 10
frame #1: 0x00000001056a6191 postgres`pg_usleep(microsec=) at pgsleep.c:56:10 [opt]
frame #2: 0x00000001054abe12 postgres`backend_read_statsfile at pgstat.c:5720:3 [opt]
frame #3: 0x00000001054adcc0 postgres`pgstat_fetch_stat_dbentry(dbid=) at pgstat.c:2431:2 [opt]
frame #4: 0x00000001054a320c postgres`do_start_worker at autovacuum.c:1248:20 [opt]
frame #5: 0x00000001054a2639 postgres`AutoVacLauncherMain [inlined] launch_worker(now=632853327674576) at autovacuum.c:1357:9 [opt]
frame #6: 0x00000001054a2634 postgres`AutoVacLauncherMain(argc=, argv=) at autovacuum.c:769 [opt]
frame #7: 0x00000001054a1ea7 postgres`StartAutoVacLauncher at autovacuum.c:415:4 [opt]
I'm not sure how much faith to put in the last couple of those, as
stopping the earlier processes could perhaps have had side-effects.
But evidently 017_shm.pl is doing something that interferes with
our ability to create kqueue-based WaitEventSets.
regards, tom lane
Re: [HACKERS] kqueue
От:
Tom Lane <tgl@sss.pgh.pa.us>
Дата:
Thomas Munro writes: > [ 0001-Add-kqueue-2-support-for-WaitEventSet-v13.patch ] I haven't read this patch in any detail, but a couple quick notes: * It needs to be rebased over the removal of pg_config.h.win32 --- it should be touching Solution.pm instead, I believe. * I'm disturbed by the addition of a hunk to the supposedly system-API-independent WaitEventSetWait() function. Is that a generic bug fix? If not, can we either get rid of it, or at least wrap it in "#ifdef WAIT_USE_KQUEUE" so that this patch isn't inflicting a performance penalty on everyone else? regards, tom lane
Re: [HACKERS] kqueue
От:
Tom Lane <tgl@sss.pgh.pa.us>
Дата:
I wrote:
> Peter Eisentraut writes:
>> I took this patch for a quick spin on macOS. The result was that the
>> test suite hangs in the test src/test/recovery/t/017_shm.pl. I didn't
>> see any mentions of this anywhere in the thread, but that test is newer
>> than the beginning of this thread. Can anyone confirm or deny this
>> issue? Is it specific to macOS perhaps?
> Yeah, I duplicated the problem in macOS Catalina (10.15.2), using today's
> HEAD. The core regression tests pass, as do the earlier recovery tests
> (I didn't try a full check-world though). Somewhere early in 017_shm.pl,
> things freeze up with four postmaster-child processes stuck in 100%-
> CPU-consuming loops.
I observe very similar behavior on FreeBSD/amd64 12.0-RELEASE-p12,
so it's not just macOS.
I now think that the autovac launcher isn't actually stuck in the way
that the other processes are. The ones that are actually consuming
CPU are the checkpointer, bgwriter, and walwriter. On the FreeBSD
box their stack traces are
(gdb) bt
#0 _close () at _close.S:3
#1 0x00000000007b4dd1 in FreeWaitEventSet (set=) at latch.c:660
#2 WaitLatchOrSocket (latch=0x80a1477a8, wakeEvents=, sock=-1,
timeout=, wait_event_info=83886084) at latch.c:432
#3 0x000000000074a1b0 in CheckpointerMain () at checkpointer.c:514
#4 0x00000000005691e2 in AuxiliaryProcessMain (argc=2, argv=0x7fffffffce90)
at bootstrap.c:461
(gdb) bt
#0 _fcntl () at _fcntl.S:3
#1 0x0000000800a6cd84 in fcntl (fd=4, cmd=2)
at /usr/src/lib/libc/sys/fcntl.c:56
#2 0x00000000007b4eb5 in CreateWaitEventSet (context=,
nevents=) at latch.c:625
#3 0x00000000007b4c82 in WaitLatchOrSocket (latch=0x80a147b00, wakeEvents=41,
sock=-1, timeout=200, wait_event_info=83886083) at latch.c:389
#4 0x0000000000749ecd in BackgroundWriterMain () at bgwriter.c:304
#5 0x00000000005691dd in AuxiliaryProcessMain (argc=2, argv=0x7fffffffce90)
at bootstrap.c:456
(gdb) bt
#0 _kevent () at _kevent.S:3
#1 0x00000000007b58a1 in WaitEventAdjustKqueue (set=0x800e6a120,
event=0x800e6a170, old_events=) at latch.c:1034
#2 0x00000000007b4d87 in AddWaitEventToSet (set=,
events=,
fd=-1, latch=, user_data=) at latch.c:778
#3 WaitLatchOrSocket (latch=0x80a147e58, wakeEvents=41, sock=-1,
timeout=5000, wait_event_info=83886093) at latch.c:410
#4 0x000000000075b349 in WalWriterMain () at walwriter.c:256
#5 0x00000000005691ec in AuxiliaryProcessMain (argc=2, argv=0x7fffffffce90)
at bootstrap.c:467
Note that these are just snapshots --- it looks like these processes
are repeatedly creating and destroying WaitEventSets, they're not
stuck inside the kernel.
regards, tom lane
Re: [HACKERS] kqueue
От:
Tom Lane <tgl@sss.pgh.pa.us>
Дата:
Matteo Beccati writes: > On 22/01/2020 17:06, Tom Lane wrote: >> Matteo Beccati writes: >>> I had a NetBSD 8.0 VM lying around and I gave the patch a spin on latest >>> master. >>> With the kqueue patch, a pgbench -c basically hangs the whole postgres >>> instance. Not sure if it's a kernel issue, HyperVM issue o what, but >>> when it hangs, I can't even kill -9 the postgres processes or get the VM >>> to properly shutdown. The same doesn't happen, of course, with vanilla >>> postgres. >> I'm a bit confused about what you are testing --- the kqueue patch >> as per this thread, or that plus the WaitLatch refactorizations in >> the other thread you point to above? > my bad, I tested the v14 patch attached to the email. Thanks for clarifying. FWIW, I can't replicate the problem here using NetBSD 8.1 amd64 on bare metal. I tried various pgbench parameters up to "-c 20 -j 20" (on a 4-cores-plus-hyperthreading CPU), and it seems fine. One theory is that NetBSD fixed something since 8.0, but I trawled their 8.1 release notes [1], and the only items mentioning kqueue or kevent are for fixes in the pty and tun drivers, neither of which seem relevant. (But wait ... could your VM setup be dependent on a tunnel network interface for outside-the-VM connectivity? Still hard to see the connection though.) My guess is that what you're seeing is a VM bug. regards, tom lane [1] https://cdn.netbsd.org/pub/NetBSD/NetBSD-8.1/CHANGES-8.1
Re: [HACKERS] kqueue
От:
Andres Freund <andres@anarazel.de>
Дата:
Hi,
On 2018-09-28 10:55:13 +1200, Thomas Munro wrote:
> On Tue, May 22, 2018 at 12:07 PM Thomas Munro
> wrote:
> > On Mon, May 21, 2018 at 7:27 PM, Mateusz Guzik wrote:
> > > I have benchmarked the change on a FreeBSD box and found an big
> > > performance win once the number of clients goes beyond the number of
> > > hardware threads on the target machine. For smaller number of clients
> > > the win was very modest.
> >
> > So to summarise your results:
> >
> > 32 connections: ~445k -> ~450k = +1.2%
> > 64 connections: ~416k -> ~544k = +30.7%
> > 96 connections: ~331k -> ~508k = +53.6%
>
> I would like to commit this patch for PostgreSQL 12, based on this
> report. We know it helps performance on macOS developer machines and
> big FreeBSD servers, and it is the right kernel interface for the job
> on principle.
Seems reasonable.
> Matteo Beccati reported a 5-10% performance drop on a
> low-end Celeron NetBSD box which we have no explanation for, and we
> have no reports from server-class machines on that OS -- so perhaps we
> (or the NetBSD port?) should consider building with WAIT_USE_POLL on
> NetBSD until someone can figure out what needs to be fixed there
> (possibly on the NetBSD side)?
Yea, I'm not too worried about that. It'd be great to test that, but
otherwise I'm also ok to just plonk that into the template.
> @@ -576,6 +592,10 @@ CreateWaitEventSet(MemoryContext context, int nevents)
> if (fcntl(set->epoll_fd, F_SETFD, FD_CLOEXEC) == -1)
> elog(ERROR, "fcntl(F_SETFD) failed on epoll descriptor: %m");
> #endif /* EPOLL_CLOEXEC */
> +#elif defined(WAIT_USE_KQUEUE)
> + set->kqueue_fd = kqueue();
> + if (set->kqueue_fd < 0)
> + elog(ERROR, "kqueue failed: %m");
> #elif defined(WAIT_USE_WIN32)
Is this automatically opened with some FD_CLOEXEC equivalent?
> +static inline void
> +WaitEventAdjustKqueueAdd(struct kevent *k_ev, int filter, int action,
> + WaitEvent *event)
> +{
> + k_ev->ident = event->fd;
> + k_ev->filter = filter;
> + k_ev->flags = action | EV_CLEAR;
> + k_ev->fflags = 0;
> + k_ev->data = 0;
> +
> + /*
> + * On most BSD family systems, udata is of type void * so we could simply
> + * assign event to it without casting, or use the EV_SET macro instead of
> + * filling in the struct manually. Unfortunately, NetBSD and possibly
> + * others have it as intptr_t, so here we wallpaper over that difference
> + * with an unsightly lvalue cast.
> + */
> + *((WaitEvent **)(&k_ev->udata)) = event;
I'm mildly inclined to hide that behind a macro, so the other places
have a reference, via the macro definition, to this too.
> + if (rc < 0 && event->events == WL_POSTMASTER_DEATH && errno == ESRCH)
> + {
> + /*
> + * The postmaster is already dead. Defer reporting this to the caller
> + * until wait time, for compatibility with the other implementations.
> + * To do that we will now add the regular alive pipe.
> + */
> + WaitEventAdjustKqueueAdd(&k_ev[0], EVFILT_READ, EV_ADD, event);
> + rc = kevent(set->kqueue_fd, &k_ev[0], count, NULL, 0, NULL);
> + }
That's, ... not particulary pretty. Kinda wonder if we shouldn't instead
just add a 'pending_events' field, that we can check at wait time.
> diff --git a/src/include/pg_config.h.in b/src/include/pg_config.h.in
> index 90dda8ea050..4bcabc3b381 100644
> --- a/src/include/pg_config.h.in
> +++ b/src/include/pg_config.h.in
> @@ -330,6 +330,9 @@
> /* Define to 1 if you have isinf(). */
> #undef HAVE_ISINF
>
> +/* Define to 1 if you have the `kqueue' function. */
> +#undef HAVE_KQUEUE
> +
> /* Define to 1 if you have the header file. */
> #undef HAVE_LANGINFO_H
>
> @@ -598,6 +601,9 @@
> /* Define to 1 if you have the header file. */
> #undef HAVE_SYS_EPOLL_H
>
> +/* Define to 1 if you have the header file. */
> +#undef HAVE_SYS_EVENT_H
> +
> /* Define to 1 if you have the header file. */
> #undef HAVE_SYS_IPC_H
Should adjust pg_config.win32.h too.
Greetings,
Andres Freund
Re: [HACKERS] kqueue
От:
Andres Freund <andres@anarazel.de>
Дата:
On 2018-10-01 19:25:45 +0200, Matteo Beccati wrote: > On 01/10/2018 01:09, Thomas Munro wrote: > > I don't know why the existence of the kqueue should make recvfrom() > > slower on the pgbench side. That's probably something to look into > > off-line with some FreeBSD guru help. Degraded performance for > > clients on the same machine does seem to be a show stopper for this > > patch for now. Thanks for testing! > > Glad to be helpful! > > I've tried running pgbench from a separate VM and in fact kqueue > consistently takes the lead with 5-10% more tps on select/prepared pgbench > on NetBSD too. > > What I have observed is that sys cpu usage is ~65% (35% idle) with kqueue, > while unpatched master averages at 55% (45% idle): relatively speaking > that's almost 25% less idle cpu available for a local pgbench to do its own > stuff. This suggest that either the the wakeup logic between kqueue and poll, or the internal locking could be at issue. Is it possible that poll triggers a directed wakeup path, but kqueue doesn't? Greetings, Andres Freund
Re: [HACKERS] kqueue
От:
Mark Wong <mark@2ndQuadrant.com>
Дата:
On Sat, Jan 25, 2020 at 11:29:11AM +1300, Thomas Munro wrote: > On Thu, Jan 23, 2020 at 9:38 AM Rui DeSousa wrote: > > On Jan 22, 2020, at 2:19 PM, Tom Lane wrote: > >> It's certainly possible that to see any benefit you need stress > >> levels above what I can manage on the small box I've got these > >> OSes on. Still, it'd be nice if a performance patch could show > >> some improved performance, before we take any portability risks > >> for it. > > You might need more than one CPU socket, or at least lots more cores > so that you can create enough contention. That was needed to see the > regression caused by commit ac1d794 on Linux[1]. > > > Here is two charts comparing a patched and unpatched system. > > These systems are very large and have just shy of thousand > > connections each with averages of 20 to 30 active queries concurrently > > running at times including hundreds if not thousand of queries hitting > > the database in rapid succession. The effect is the unpatched system > > generates a lot of system load just handling idle connections where as > > the patched version is not impacted by idle sessions or sessions that > > have already received data. > > Thanks. I can reproduce something like this on an Azure 72-vCPU > system, using pgbench -S -c800 -j32. The point of those settings is > to have many backends, but they're all alternating between work and > sleep. That creates a stream of poll() syscalls, and system time goes > through the roof (all CPUs pegged, but it's ~half system). Profiling > the kernel with dtrace, I see the most common stack (by a long way) is > in a poll-related lock, similar to a profile Rui sent me off-list from > his production system. Patched, there is very little system time and > the TPS number goes from 539k to 781k. > > [1] https://www.postgresql.org/message-id/flat/CAB-SwXZh44_2ybvS5Z67p_CDz%3DXFn4hNAD%3DCnMEF%2BQqkXwFrGg%40mail.gmail.com Just to add some data... I tried the kqueue v14 patch on a AWS EC2 m5a.24xlarge (96 vCPU) with FreeBSD 12.1, driving from a m5.8xlarge (32 vCPU) CentOS 7 system. I also use pgbench with a scale factor of 1000, with -S -c800 -j32. Comparing pg 12.1 vs 13-devel (30012a04): * TPS increased from ~93,000 to ~140,000, ~ 32% increase * system time dropped from ~ 78% to ~ 70%, ~ 8% decrease * user time increased from ~16% to ~ 23%, ~7% increase I don't have any profile data, but I've attached a couple chart showing the processor utilization over a 15 minute interval from the database system. Regards, Mark -- Mark Wong 2ndQuadrant - PostgreSQL Solutions for the Enterprise https://www.2ndQuadrant.com/
Re: [HACKERS] kqueue
От:
Tom Lane <tgl@sss.pgh.pa.us>
Дата:
I wrote: > This just says it doesn't lock up, of course. I've not attempted > any performance-oriented tests. I've now done some light performance testing -- just stuff like pgbench -S -M prepared -c 20 -j 20 -T 60 bench I cannot see any improvement on either FreeBSD 12 or NetBSD 8.1, either as to net TPS or as to CPU load. If anything, the TPS rate is a bit lower with the patch, though I'm not sure that that effect is above the noise level. It's certainly possible that to see any benefit you need stress levels above what I can manage on the small box I've got these OSes on. Still, it'd be nice if a performance patch could show some improved performance, before we take any portability risks for it. regards, tom lane
Re: [HACKERS] kqueue
От:
Matteo Beccati <php@beccati.com>
Дата:
On 28/09/2018 14:19, Thomas Munro wrote: > On Fri, Sep 28, 2018 at 11:09 AM Andres Freund wrote: >> On 2018-09-28 10:55:13 +1200, Thomas Munro wrote: >>> Matteo Beccati reported a 5-10% performance drop on a >>> low-end Celeron NetBSD box which we have no explanation for, and we >>> have no reports from server-class machines on that OS -- so perhaps we >>> (or the NetBSD port?) should consider building with WAIT_USE_POLL on >>> NetBSD until someone can figure out what needs to be fixed there >>> (possibly on the NetBSD side)? >> >> Yea, I'm not too worried about that. It'd be great to test that, but >> otherwise I'm also ok to just plonk that into the template. > > Thanks for the review! Ok, if we don't get a better idea I'll put > this in src/template/netbsd: > > CPPFLAGS="$CPPFLAGS -DWAIT_USE_POLL" A quick test on a 8 vCPU / 4GB RAM virtual machine running a fresh install of NetBSD 8.0 again shows that kqueue is consistently slower running pgbench vs unpatched master on tcp-b like pgbench workloads: ~1200tps vs ~1400tps w/ 96 clients and threads, scale factor 10 while on select only benchmarks the difference is below the noise floor, with both doing roughly the same ~30k tps. Out of curiosity, I've installed FreBSD on an identically specced VM, and the select benchmark was ~75k tps for kqueue vs ~90k tps on unpatched master, so maybe there's something wrong I'm doing when benchmarking. Could you please provide proper instructions? Cheers -- Matteo Beccati Development & Consulting - http://www.beccati.com/
Re: [HACKERS] kqueue
От:
Rui DeSousa <rui@crazybean.net>
Дата:
On Jan 22, 2020, at 2:19 PM, Tom Lane <tgl@sss.pgh.pa.us> wrote:
I cannot see any improvement on either FreeBSD 12 or NetBSD 8.1,
either as to net TPS or as to CPU load. If anything, the TPS
rate is a bit lower with the patch, though I'm not sure that
that effect is above the noise level.
It's certainly possible that to see any benefit you need stress
levels above what I can manage on the small box I've got these
OSes on. Still, it'd be nice if a performance patch could show
some improved performance, before we take any portability risks
for it.
Tom,
Here is two charts comparing a patched and unpatched system. These systems are very large and have just shy of thousand connections each with averages of 20 to 30 active queries concurrently running at times including hundreds if not thousand of queries hitting the database in rapid succession. The effect is the unpatched system generates a lot of system load just handling idle connections where as the patched version is not impacted by idle sessions or sessions that have already received data.
Re: [HACKERS] kqueue
От:
Matteo Beccati <php@beccati.com>
Дата:
Hi Thomas, On 28/09/2018 00:55, Thomas Munro wrote: > I would like to commit this patch for PostgreSQL 12, based on this > report. We know it helps performance on macOS developer machines and > big FreeBSD servers, and it is the right kernel interface for the job > on principle. Matteo Beccati reported a 5-10% performance drop on a > low-end Celeron NetBSD box which we have no explanation for, and we > have no reports from server-class machines on that OS -- so perhaps we > (or the NetBSD port?) should consider building with WAIT_USE_POLL on > NetBSD until someone can figure out what needs to be fixed there > (possibly on the NetBSD side)? Thanks for keeping me in the loop. Out of curiosity (and time permitting) I'll try to spin up a NetBSD 8 VM and run some benchmarks, but I guess we should leave it up to the pkgsrc people to eventually change the build flags. Cheers -- Matteo Beccati Development & Consulting - http://www.beccati.com/
Re: [HACKERS] kqueue
От:
Tom Lane <tgl@sss.pgh.pa.us>
Дата:
Matteo Beccati writes: > On 21/01/2020 02:06, Thomas Munro wrote: >> [1] https://www.postgresql.org/message-id/CA%2BhUKGJAC4Oqao%3DqforhNey20J8CiG2R%3DoBPqvfR0vOJrFysGw%40mail.gmail.com > I had a NetBSD 8.0 VM lying around and I gave the patch a spin on latest > master. > With the kqueue patch, a pgbench -c basically hangs the whole postgres > instance. Not sure if it's a kernel issue, HyperVM issue o what, but > when it hangs, I can't even kill -9 the postgres processes or get the VM > to properly shutdown. The same doesn't happen, of course, with vanilla > postgres. I'm a bit confused about what you are testing --- the kqueue patch as per this thread, or that plus the WaitLatch refactorizations in the other thread you point to above? I've gotten through check-world successfully with the v14 kqueue patch atop yesterday's HEAD on: * macOS Catalina 10.15.2 (current release) * FreeBSD/amd64 12.0-RELEASE-p12 * NetBSD/amd64 8.1 * NetBSD/arm 8.99.41 * OpenBSD/amd64 6.5 (These OSes are all on bare metal, no VMs involved) This just says it doesn't lock up, of course. I've not attempted any performance-oriented tests. regards, tom lane
Re: [HACKERS] kqueue
От:
Peter Eisentraut <peter.eisentraut@2ndquadrant.com>
Дата:
On 2019-12-20 01:26, Thomas Munro wrote: > It's still my intention to get this committed eventually, but I got a > bit frazzled by conflicting reports on several operating systems. For > FreeBSD, performance was improved in many cases, but there were also > some regressions that seemed to be related to ongoing work in the > kernel that seemed worth waiting for. I don't have the details > swapped into my brain right now, but there was something about a big > kernel lock for Unix domain sockets which possibly explained some > local pgbench problems, and there was also a problem relating to > wakeup priority with some test parameters, which I'd need to go and > dig up. If you want to test this and let us know how you get on, > that'd be great! Here's a rebase against PostgreSQL's master branch, I took this patch for a quick spin on macOS. The result was that the test suite hangs in the test src/test/recovery/t/017_shm.pl. I didn't see any mentions of this anywhere in the thread, but that test is newer than the beginning of this thread. Can anyone confirm or deny this issue? Is it specific to macOS perhaps? -- Peter Eisentraut http://www.2ndQuadrant.com/ PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services
Re: [HACKERS] kqueue
От:
Rui DeSousa <rui@crazybean.net>
Дата:
Thanks Thomas, Just a quick update. I just deployed this patch into a lower environment yesterday running FreeBSD 12.1 and PostgreSQL 11.6. I see a significant reduction is CPU/system load from load highs of 500+ down to the low 20’s. System CPU time has been reduced to practically nothing. I’m working with our support vendor in testing the patch and will continue to let it burn in. Hopefully, we can get the patched committed. Thanks. > On Dec 19, 2019, at 7:26 PM, Thomas Munro wrote: > > It's still my intention to get this committed eventually, but I got a > bit frazzled by conflicting reports on several operating systems. For > FreeBSD, performance was improved in many cases, but there were also > some regressions that seemed to be related to ongoing work in the > kernel that seemed worth waiting for. I don't have the details > swapped into my brain right now, but there was something about a big > kernel lock for Unix domain sockets which possibly explained some > local pgbench problems, and there was also a problem relating to > wakeup priority with some test parameters, which I'd need to go and > dig up. If you want to test this and let us know how you get on, > that'd be great! Here's a rebase against PostgreSQL's master branch, > and since you mentioned PostgreSQL 11, here's a rebased version for > REL_11_STABLE in case that's easier for you to test/build via ports or > whatever and test with your production workload (eg on a throwaway > copy of your production system). You can see it's working by looking > in top: instead of state "select" (which is how poll() is reported) > you see "kqread", which on its own isn't exciting enough to get this > committed :-) >
Re: [HACKERS] kqueue
От:
Matteo Beccati <php@beccati.com>
Дата:
Hi Thomas,
On 30/09/2018 04:36, Thomas Munro wrote:
> On Sat, Sep 29, 2018 at 7:51 PM Matteo Beccati wrote:
>> Out of curiosity, I've installed FreBSD on an identically specced VM,
>> and the select benchmark was ~75k tps for kqueue vs ~90k tps on
>> unpatched master, so maybe there's something wrong I'm doing when
>> benchmarking. Could you please provide proper instructions?
>
> Ouch. What kind of virtualisation is this? Which version of FreeBSD?
> Not sure if it's relevant, but do you happen to see gettimeofday()
> showing up as a syscall, if you truss a backend running pgbench?
I downloaded 11.2 as VHD file in order to run on MS Hyper-V / Win10 Pro.
Yes, I saw plenty of gettimeofday calls when running truss:
> gettimeofday({ 1538297117.071344 },0x0) = 0 (0x0)
> gettimeofday({ 1538297117.071743 },0x0) = 0 (0x0)
> gettimeofday({ 1538297117.072021 },0x0) = 0 (0x0)
> getpid() = 766 (0x2fe)
> __sysctl(0x7fffffffce90,0x4,0x0,0x0,0x801891000,0x2b) = 0 (0x0)
> gettimeofday({ 1538297117.072944 },0x0) = 0 (0x0)
> getpid() = 766 (0x2fe)
> __sysctl(0x7fffffffce90,0x4,0x0,0x0,0x801891000,0x29) = 0 (0x0)
> gettimeofday({ 1538297117.073682 },0x0) = 0 (0x0)
> sendto(9,"2\0\0\0\^DT\0\0\0!\0\^Aabalance"...,71,0,NULL,0) = 71 (0x47)
> recvfrom(9,"B\0\0\0\^\\0P0_1\0\0\0\0\^A\0\0"...,8192,0,NULL,0x0) = 51 (0x33)
> gettimeofday({ 1538297117.074955 },0x0) = 0 (0x0)
> gettimeofday({ 1538297117.075308 },0x0) = 0 (0x0)
> getpid() = 766 (0x2fe)
> __sysctl(0x7fffffffce90,0x4,0x0,0x0,0x801891000,0x29) = 0 (0x0)
> gettimeofday({ 1538297117.076252 },0x0) = 0 (0x0)
> gettimeofday({ 1538297117.076431 },0x0) = 0 (0x0)
> gettimeofday({ 1538297117.076678 },0x0^C) = 0 (0x0)
Cheers
--
Matteo Beccati
Development & Consulting - http://www.beccati.com/
Re: [HACKERS] kqueue
От:
Matteo Beccati <php@beccati.com>
Дата:
On 22/01/2020 17:06, Tom Lane wrote: > Matteo Beccati writes: >> On 21/01/2020 02:06, Thomas Munro wrote: >>> [1] https://www.postgresql.org/message-id/CA%2BhUKGJAC4Oqao%3DqforhNey20J8CiG2R%3DoBPqvfR0vOJrFysGw%40mail.gmail.com > >> I had a NetBSD 8.0 VM lying around and I gave the patch a spin on latest >> master. >> With the kqueue patch, a pgbench -c basically hangs the whole postgres >> instance. Not sure if it's a kernel issue, HyperVM issue o what, but >> when it hangs, I can't even kill -9 the postgres processes or get the VM >> to properly shutdown. The same doesn't happen, of course, with vanilla >> postgres. > > I'm a bit confused about what you are testing --- the kqueue patch > as per this thread, or that plus the WaitLatch refactorizations in > the other thread you point to above? my bad, I tested the v14 patch attached to the email. The quoted url was just above the patch name in the email client and somehow my brain thought I was quoting the v14 patch name. Cheers -- Matteo Beccati Development & Consulting - http://www.beccati.com/
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@gmail.com>
Дата:
On Tue, Jan 21, 2020 at 2:34 AM Peter Eisentraut wrote: > I took this patch for a quick spin on macOS. The result was that the > test suite hangs in the test src/test/recovery/t/017_shm.pl. I didn't > see any mentions of this anywhere in the thread, but that test is newer > than the beginning of this thread. Can anyone confirm or deny this > issue? Is it specific to macOS perhaps? Thanks for testing, and sorry I didn't run a full check-world after that rebase. What happened here is that after commit cfdf4dc4 landed on master, every implementation now needs to check for exit_on_postmaster_death, and this patch didn't get the message. Those processes are stuck in their main loops having detected postmaster death, but not having any handling for it. Will fix.
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@gmail.com>
Дата:
On Tue, Jan 21, 2020 at 8:03 AM Tom Lane wrote: > I observe very similar behavior on FreeBSD/amd64 12.0-RELEASE-p12, > so it's not just macOS. Thanks for testing. Fixed by handling the new exit_on_postmaster_death flag from commit cfdf4dc4. On Tue, Jan 21, 2020 at 5:55 AM Tom Lane wrote: > Thomas Munro writes: > > [ 0001-Add-kqueue-2-support-for-WaitEventSet-v13.patch ] > > I haven't read this patch in any detail, but a couple quick notes: > > * It needs to be rebased over the removal of pg_config.h.win32 > --- it should be touching Solution.pm instead, I believe. Done. > * I'm disturbed by the addition of a hunk to the supposedly > system-API-independent WaitEventSetWait() function. Is that > a generic bug fix? If not, can we either get rid of it, or > at least wrap it in "#ifdef WAIT_USE_KQUEUE" so that this > patch isn't inflicting a performance penalty on everyone else? Here's a version that adds no new code to non-WAIT_USE_KQUEUE paths. That code deals with the fact that we sometimes discover the postmaster is gone before we're in a position to report an event, so we need an inter-function memory of some kind. The new coding also handles a race case where someone reuses the postmaster's pid before we notice it went away. In theory, the need for that could be entirely removed by collapsing the 'adjust' call into the 'wait' call (a single kevent() invocation can do both things), but I'm not sure if it's worth the complexity. As for generally reducing syscalls noise, for both kqueue and epoll, I think that should be addressed separately by better reuse of WaitEventSet objects[1]. [1] https://www.postgresql.org/message-id/CA%2BhUKGJAC4Oqao%3DqforhNey20J8CiG2R%3DoBPqvfR0vOJrFysGw%40mail.gmail.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@gmail.com>
Дата:
On Fri, Dec 20, 2019 at 12:41 PM Rui DeSousa wrote: > I’m instrested in the kqueue patch and would like to know its current state and possible timeline for inclusion in the base code. I have several large FreeBSD systems running PostgreSQL 11 that I believe currently displays this issue. The system has 88 vCPUs, 512GB Ram, and very active application with over 1000 connections to the database. The system exhibits high kernel CPU usage servicing poll() for connections that are idle. Hi Rui, It's still my intention to get this committed eventually, but I got a bit frazzled by conflicting reports on several operating systems. For FreeBSD, performance was improved in many cases, but there were also some regressions that seemed to be related to ongoing work in the kernel that seemed worth waiting for. I don't have the details swapped into my brain right now, but there was something about a big kernel lock for Unix domain sockets which possibly explained some local pgbench problems, and there was also a problem relating to wakeup priority with some test parameters, which I'd need to go and dig up. If you want to test this and let us know how you get on, that'd be great! Here's a rebase against PostgreSQL's master branch, and since you mentioned PostgreSQL 11, here's a rebased version for REL_11_STABLE in case that's easier for you to test/build via ports or whatever and test with your production workload (eg on a throwaway copy of your production system). You can see it's working by looking in top: instead of state "select" (which is how poll() is reported) you see "kqread", which on its own isn't exciting enough to get this committed :-) PS Here's a list of slow burner PostgreSQL/FreeBSD projects: https://wiki.postgresql.org/wiki/FreeBSD
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@gmail.com>
Дата:
On Fri, Dec 20, 2019 at 1:26 PM Thomas Munro wrote: > On Fri, Dec 20, 2019 at 12:41 PM Rui DeSousa wrote: > > PostgreSQL 11 BTW, PostgreSQL 12 has an improvement that may be relevant for your case: it suppresses a bunch of high frequency reads on the "postmaster death" pipe in some scenarios, mainly the streaming replica replay loop (if you build on a system new enough to have PROC_PDEATHSIG_CTL, namely FreeBSD 11.2+, it doesn't bother reading the pipe unless it's received a signal). That pipe is inherited by every process and included in every poll() set. The kqueue patch doesn't even bother to add it to the wait event set, preferring to use an EVFILT_PROC event, so in theory we could get rid of the death pipe completely on FreeBSD and rely on EVFILT_PROC (sleeping) and PDEATHSIG (while awake), but I wouldn't want to make the code diverge from the Linux code too much, so I figured we should leave the pipe in place but just avoid accessing it when possible, if that makes sense.
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@gmail.com>
Дата:
On Wed, Jan 29, 2020 at 11:54 AM Thomas Munro wrote: > If there are no further objections, I'm planning to commit this sooner > rather than later, so that it gets plenty of air time on developer and > build farm machines. If problems are discovered on a particular > platform, there's a pretty good escape hatch: you can define > WAIT_USE_POLL, and if it turns out to be necessary, we could always do > something in src/template similar to what we do for semaphores. I updated the error messages to match the new "unified" style, adjust a couple of comments, and pushed. Thanks to all the people who tested. I'll keep an eye on the build farm.
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@gmail.com>
Дата:
On Thu, Jan 23, 2020 at 9:38 AM Rui DeSousa wrote: > On Jan 22, 2020, at 2:19 PM, Tom Lane wrote: >> It's certainly possible that to see any benefit you need stress >> levels above what I can manage on the small box I've got these >> OSes on. Still, it'd be nice if a performance patch could show >> some improved performance, before we take any portability risks >> for it. You might need more than one CPU socket, or at least lots more cores so that you can create enough contention. That was needed to see the regression caused by commit ac1d794 on Linux[1]. > Here is two charts comparing a patched and unpatched system. > These systems are very large and have just shy of thousand > connections each with averages of 20 to 30 active queries concurrently > running at times including hundreds if not thousand of queries hitting > the database in rapid succession. The effect is the unpatched system > generates a lot of system load just handling idle connections where as > the patched version is not impacted by idle sessions or sessions that > have already received data. Thanks. I can reproduce something like this on an Azure 72-vCPU system, using pgbench -S -c800 -j32. The point of those settings is to have many backends, but they're all alternating between work and sleep. That creates a stream of poll() syscalls, and system time goes through the roof (all CPUs pegged, but it's ~half system). Profiling the kernel with dtrace, I see the most common stack (by a long way) is in a poll-related lock, similar to a profile Rui sent me off-list from his production system. Patched, there is very little system time and the TPS number goes from 539k to 781k. [1] https://www.postgresql.org/message-id/flat/CAB-SwXZh44_2ybvS5Z67p_CDz%3DXFn4hNAD%3DCnMEF%2BQqkXwFrGg%40mail.gmail.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@gmail.com>
Дата:
On Sat, Jan 25, 2020 at 11:29 AM Thomas Munro wrote: > On Thu, Jan 23, 2020 at 9:38 AM Rui DeSousa wrote: > > Here is two charts comparing a patched and unpatched system. > > These systems are very large and have just shy of thousand > > connections each with averages of 20 to 30 active queries concurrently > > running at times including hundreds if not thousand of queries hitting > > the database in rapid succession. The effect is the unpatched system > > generates a lot of system load just handling idle connections where as > > the patched version is not impacted by idle sessions or sessions that > > have already received data. > > Thanks. I can reproduce something like this on an Azure 72-vCPU > system, using pgbench -S -c800 -j32. The point of those settings is > to have many backends, but they're all alternating between work and > sleep. That creates a stream of poll() syscalls, and system time goes > through the roof (all CPUs pegged, but it's ~half system). Profiling > the kernel with dtrace, I see the most common stack (by a long way) is > in a poll-related lock, similar to a profile Rui sent me off-list from > his production system. Patched, there is very little system time and > the TPS number goes from 539k to 781k. If there are no further objections, I'm planning to commit this sooner rather than later, so that it gets plenty of air time on developer and build farm machines. If problems are discovered on a particular platform, there's a pretty good escape hatch: you can define WAIT_USE_POLL, and if it turns out to be necessary, we could always do something in src/template similar to what we do for semaphores.
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Sat, Sep 29, 2018 at 7:51 PM Matteo Beccati wrote: > On 28/09/2018 14:19, Thomas Munro wrote: > > On Fri, Sep 28, 2018 at 11:09 AM Andres Freund wrote: > >> On 2018-09-28 10:55:13 +1200, Thomas Munro wrote: > >>> Matteo Beccati reported a 5-10% performance drop on a > >>> low-end Celeron NetBSD box which we have no explanation for, and we > >>> have no reports from server-class machines on that OS -- so perhaps we > >>> (or the NetBSD port?) should consider building with WAIT_USE_POLL on > >>> NetBSD until someone can figure out what needs to be fixed there > >>> (possibly on the NetBSD side)? > >> > >> Yea, I'm not too worried about that. It'd be great to test that, but > >> otherwise I'm also ok to just plonk that into the template. > > > > Thanks for the review! Ok, if we don't get a better idea I'll put > > this in src/template/netbsd: > > > > CPPFLAGS="$CPPFLAGS -DWAIT_USE_POLL" > > A quick test on a 8 vCPU / 4GB RAM virtual machine running a fresh > install of NetBSD 8.0 again shows that kqueue is consistently slower > running pgbench vs unpatched master on tcp-b like pgbench workloads: > > ~1200tps vs ~1400tps w/ 96 clients and threads, scale factor 10 > > while on select only benchmarks the difference is below the noise floor, > with both doing roughly the same ~30k tps. > > Out of curiosity, I've installed FreBSD on an identically specced VM, > and the select benchmark was ~75k tps for kqueue vs ~90k tps on > unpatched master, so maybe there's something wrong I'm doing when > benchmarking. Could you please provide proper instructions? Ouch. What kind of virtualisation is this? Which version of FreeBSD? Not sure if it's relevant, but do you happen to see gettimeofday() showing up as a syscall, if you truss a backend running pgbench? -- Thomas Munro http://www.enterprisedb.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Fri, Sep 28, 2018 at 11:09 AM Andres Freund wrote:
> On 2018-09-28 10:55:13 +1200, Thomas Munro wrote:
> > Matteo Beccati reported a 5-10% performance drop on a
> > low-end Celeron NetBSD box which we have no explanation for, and we
> > have no reports from server-class machines on that OS -- so perhaps we
> > (or the NetBSD port?) should consider building with WAIT_USE_POLL on
> > NetBSD until someone can figure out what needs to be fixed there
> > (possibly on the NetBSD side)?
>
> Yea, I'm not too worried about that. It'd be great to test that, but
> otherwise I'm also ok to just plonk that into the template.
Thanks for the review! Ok, if we don't get a better idea I'll put
this in src/template/netbsd:
CPPFLAGS="$CPPFLAGS -DWAIT_USE_POLL"
> > @@ -576,6 +592,10 @@ CreateWaitEventSet(MemoryContext context, int nevents)
> > if (fcntl(set->epoll_fd, F_SETFD, FD_CLOEXEC) == -1)
> > elog(ERROR, "fcntl(F_SETFD) failed on epoll descriptor: %m");
> > #endif /* EPOLL_CLOEXEC */
> > +#elif defined(WAIT_USE_KQUEUE)
> > + set->kqueue_fd = kqueue();
> > + if (set->kqueue_fd < 0)
> > + elog(ERROR, "kqueue failed: %m");
> > #elif defined(WAIT_USE_WIN32)
>
> Is this automatically opened with some FD_CLOEXEC equivalent?
No. Hmm, I thought it wasn't necessary because kqueue descriptors are
not inherited and backends don't execve() directly without forking,
but I guess it can't hurt to add a fcntl() call. Done.
> > + *((WaitEvent **)(&k_ev->udata)) = event;
>
> I'm mildly inclined to hide that behind a macro, so the other places
> have a reference, via the macro definition, to this too.
Done.
> > + if (rc < 0 && event->events == WL_POSTMASTER_DEATH && errno == ESRCH)
> > + {
> > + /*
> > + * The postmaster is already dead. Defer reporting this to the caller
> > + * until wait time, for compatibility with the other implementations.
> > + * To do that we will now add the regular alive pipe.
> > + */
> > + WaitEventAdjustKqueueAdd(&k_ev[0], EVFILT_READ, EV_ADD, event);
> > + rc = kevent(set->kqueue_fd, &k_ev[0], count, NULL, 0, NULL);
> > + }
>
> That's, ... not particulary pretty. Kinda wonder if we shouldn't instead
> just add a 'pending_events' field, that we can check at wait time.
Done.
> > +/* Define to 1 if you have the `kqueue' function. */
> > +#undef HAVE_KQUEUE
> > +
> Should adjust pg_config.win32.h too.
Done.
--
Thomas Munro
http://www.enterprisedb.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Tue, Oct 2, 2018 at 6:28 AM Andres Freund wrote: > On 2018-10-01 19:25:45 +0200, Matteo Beccati wrote: > > On 01/10/2018 01:09, Thomas Munro wrote: > > > I don't know why the existence of the kqueue should make recvfrom() > > > slower on the pgbench side. That's probably something to look into > > > off-line with some FreeBSD guru help. Degraded performance for > > > clients on the same machine does seem to be a show stopper for this > > > patch for now. Thanks for testing! > > > > Glad to be helpful! > > > > I've tried running pgbench from a separate VM and in fact kqueue > > consistently takes the lead with 5-10% more tps on select/prepared pgbench > > on NetBSD too. > > > > What I have observed is that sys cpu usage is ~65% (35% idle) with kqueue, > > while unpatched master averages at 55% (45% idle): relatively speaking > > that's almost 25% less idle cpu available for a local pgbench to do its own > > stuff. > > This suggest that either the the wakeup logic between kqueue and poll, > or the internal locking could be at issue. Is it possible that poll > triggers a directed wakeup path, but kqueue doesn't? I am following up with some kernel hackers. In the meantime, here is a rebase for the new split-line configure.in, to turn cfbot green. -- Thomas Munro http://www.enterprisedb.com
Re: kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Thu, Sep 15, 2016 at 11:04 AM, Thomas Munro wrote: > On Thu, Sep 15, 2016 at 10:48 AM, Keith Fiske wrote: >> Thomas Munro brought up in #postgresql on freenode needing someone to test a >> patch on a larger FreeBSD server. I've got a pretty decent machine (3.1Ghz >> Quad Core Xeon E3-1220V3, 16GB ECC RAM, ZFS mirror on WD Red HDD) so offered >> to give it a try. >> >> Bench setup was: >> pgbench -i -s 100 -d postgres >> >> I ran this against 96rc1 instead of HEAD like most of the others in this >> thread seem to have done. Not sure if that makes a difference and can re-run >> if needed. >> With higher concurrency, this seems to cause decreased performance. You can >> tell which of the runs is the kqueue patch by looking at the path to >> pgbench. > > Thanks Keith. So to summarise, you saw no change with 1 client, but > with 4 clients you saw a significant drop in performance (~93K TPS -> > ~80K TPS), and a smaller drop for 64 clients (~72 TPS -> ~68K TPS). > These results seem to be a nail in the coffin for this patch for now. > > Thanks to everyone who tested. I might be back in a later commitfest > if I can figure out why and how to fix it. Ok, here's a version tweaked to use EVFILT_PROC for postmaster death detection instead of the pipe, as Tom Lane suggested in another thread[1]. The pipe still exists and is used for PostmasterIsAlive(), and also for the race case where kevent discovers that the PID doesn't exist when you try to add it (presumably it died already, but we want to defer the report of that until you call EventSetWait, so in that case we stick the traditional pipe into the kqueue set as before so that it'll fire a readable-because-EOF event then). Still no change measurable on my laptop. Keith, would you be able to test this on your rig and see if it sucks any less than the last one? [1] https://www.postgresql.org/message-id/13774.1473972000%40sss.pgh.pa.us -- Thomas Munro http://www.enterprisedb.com
Re: kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Fri, Jun 3, 2016 at 4:02 AM, Alvaro Herrera wrote: > Tom Lane wrote: >> Andres Freund writes: >> >> pg_strtoi? >> >> > I think that's what Thomas did upthread. Are you taking this one then? >> >> I'd go with just "strtoint". We have "strtoint64" elsewhere. > > For closure of this subthread: this rename was committed by Tom as > 0ab3595e5bb5. Thanks. And here is a new version of the kqueue patch. The previous version doesn't apply on top of recent commit a3b30763cc8686f5b4cd121ef0bf510c1533ac22, which sprinkled some MAXALIGN macros nearby. I've now done the same thing with the kevent struct because it's cheap, uniform with the other cases and could matter on some platforms for the same reason. It's in the September commitfest here: https://commitfest.postgresql.org/10/597/ -- Thomas Munro http://www.enterprisedb.com
Re: kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Fri, Apr 22, 2016 at 12:21 PM, Andres Freund wrote: > On 2016-04-21 14:25:06 -0400, Robert Haas wrote: >> On Thu, Apr 21, 2016 at 2:22 PM, Andres Freund wrote: >> > On 2016-04-21 14:15:53 -0400, Robert Haas wrote: >> >> On Tue, Mar 29, 2016 at 7:53 PM, Thomas Munro >> >> wrote: >> >> > On the WaitEventSet thread I posted a small patch to add kqueue >> >> > support[1]. Since then I peeked at how some other software[2] >> >> > interacts with kqueue and discovered that there are platforms >> >> > including NetBSD where kevent.udata is an intptr_t instead of a void >> >> > *. Here's a version which should compile there. Would any NetBSD >> >> > user be interested in testing this? (An alternative would be to make >> >> > configure to test for this with some kind of AC_COMPILE_IFELSE >> >> > incantation but the steamroller cast is simpler.) >> >> >> >> Did you code this up blind or do you have a NetBSD machine yourself? >> > >> > RMT, what do you think, should we try to get this into 9.6? It's >> > feasible that the performance problem 98a64d0bd713c addressed is also >> > present on free/netbsd. >> >> My personal opinion is that it would be a reasonable thing to do if >> somebody can demonstrate that it actually solves a real problem. >> Absent that, I don't think we should rush it in. > > On linux you needed a 2 socket machine to demonstrate the problem, but > both old ones (my 2009 workstation) and new ones were sufficient. I'd be > surprised if the situation on freebsd is any better, except that you > might hit another scalability bottleneck earlier. > > I doubt there's many real postgres instances operating on bigger > hardware on freebsd, with sufficient throughput to show the problem. So > I think the argument for including is more along trying to be "nice" to > more niche-y OSs. What has BSD ever done for us?! (Joke...) I vote to leave this patch in the next commitfest where it is, and reconsider if someone shows up with a relevant problem report on large systems. I can't see any measurable performance difference on a 4 core laptop running FreeBSD 10.3. Maybe kqueue will make more difference even on smaller systems in future releases if we start using big wait sets for distributed/asynchronous work, in-core pooling/admission control etc. Here's a new version of the patch that fixes some stupid bugs. I have run regression tests and some basic sanity checks on OSX 10.11.4, FreeBSD 10.3, NetBSD 7.0 and OpenBSD 5.8. There is still room to make an improvement that would drop the syscall from AddWaitEventToSet and ModifyWaitEvent, compressing wait set modifications and waiting into a single syscall (kqueue's claimed advantage over the competition). While doing that I discovered that unpatched master doesn't actually build on recent NetBSD systems because our static function strtoi clashes with a non-standard libc function of the same name[1] declared in inttypes.h. Maybe we should rename it, like in the attached? [1] http://netbsd.gw.com/cgi-bin/man-cgi?strtoi++NetBSD-current -- Thomas Munro http://www.enterprisedb.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Tue, Oct 11, 2016 at 8:08 PM, Torsten Zuehlsdorff wrote: > On 28.09.2016 23:39, Thomas Munro wrote: >> It's difficult to draw any conclusions at this point. > > I'm currently setting up a new FreeBSD machine. Its a FreeBSD 11 with ZFS, > 64 GB RAM and Quad Core. If you're interested in i can give you access for > more tests this week. Maybe this will help to draw any conclusion. I don't plan to resubmit this patch myself, but I was doing some spring cleaning and rebasing today and I figured it might be worth quietly leaving a working patch here just in case anyone from the various BSD communities is interested in taking the idea further. Some thoughts: We could decide to make it the default on FooBSD but not BarBSD according to experimental results... for example several people reported that macOS developer machines run pgbench a bit faster. Also, we didn't ever get to the bottom of the complaint that NetBSD and OpenBSD systems wake up every waiting backend when anyone calls PostmasterIsAlive[1], which this patch should in theory fix (by using EVFILT_PROC instead of waiting on that pipe). On the other hand, the fix for that may be to stop calling PostmasterIsAlive in loops[2]! [1] https://www.postgresql.org/message-id/CAEepm%3D27K-2AP1th97kiVvKpTuria9ocbjT0cXCJqnt4if5rJQ%40mail.gmail.com [2] https://www.postgresql.org/message-id/CAEepm%3D3FW33PeRxt0jE4N0truJqOepp72R6W-zyM5mu1bxnZRw%40mail.gmail.com -- Thomas Munro http://www.enterprisedb.com -- Sent via pgsql-hackers mailing list (pgsql-hackers@postgresql.org) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-hackers
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Sun, Sep 30, 2018 at 9:49 PM Matteo Beccati wrote:
> On 30/09/2018 04:36, Thomas Munro wrote:
> > On Sat, Sep 29, 2018 at 7:51 PM Matteo Beccati wrote:
> >> Out of curiosity, I've installed FreBSD on an identically specced VM,
> >> and the select benchmark was ~75k tps for kqueue vs ~90k tps on
> >> unpatched master, so maybe there's something wrong I'm doing when
> >> benchmarking. Could you please provide proper instructions?
> >
> > Ouch. What kind of virtualisation is this? Which version of FreeBSD?
> > Not sure if it's relevant, but do you happen to see gettimeofday()
> > showing up as a syscall, if you truss a backend running pgbench?
>
> I downloaded 11.2 as VHD file in order to run on MS Hyper-V / Win10 Pro.
>
> Yes, I saw plenty of gettimeofday calls when running truss:
>
> > gettimeofday({ 1538297117.071344 },0x0) = 0 (0x0)
> > gettimeofday({ 1538297117.071743 },0x0) = 0 (0x0)
> > gettimeofday({ 1538297117.072021 },0x0) = 0 (0x0)
Ok. Those syscalls show up depending on your
kern.timecounter.hardware setting and virtualised hardware: just like
on Linux, gettimeofday() can be a cheap userspace operation (vDSO)
that avoids the syscall path, or not. I'm not seeing any reason to
think that's relevant here.
> > getpid() = 766 (0x2fe)
> > __sysctl(0x7fffffffce90,0x4,0x0,0x0,0x801891000,0x2b) = 0 (0x0)
> > gettimeofday({ 1538297117.072944 },0x0) = 0 (0x0)
> > getpid() = 766 (0x2fe)
> > __sysctl(0x7fffffffce90,0x4,0x0,0x0,0x801891000,0x29) = 0 (0x0)
That's setproctitle(). Those syscalls go away if you use FreeBSD 12
(which has setproctitle_fast()). If you fix both of those problems,
you are left with just:
> > sendto(9,"2\0\0\0\^DT\0\0\0!\0\^Aabalance"...,71,0,NULL,0) = 71 (0x47)
> > recvfrom(9,"B\0\0\0\^\\0P0_1\0\0\0\0\^A\0\0"...,8192,0,NULL,0x0) = 51 (0x33)
These are the only syscalls I see for each pgbench -S transaction on
my bare metal machine: just the network round trip. The funny thing
is ... there are almost no kevent() calls.
I managed to reproduce the regression (~70k -> ~50k) using a prewarmed
scale 10 select-only pgbench with 2GB of shared_buffers (so it all
fits), with -j 96 -c 96 on an 8 vCPU AWS t2.2xlarge running FreeBSD 12
ALPHA8. Here is what truss -c says, capturing data from one backend
for about 10 seconds:
syscall seconds calls errors
sendto 0.396840146 3452 0
recvfrom 0.415802029 3443 6
kevent 0.000626393 6 0
gettimeofday 2.723923249 24053 0
------------- ------- -------
3.537191817 30954 6
(There's no regression with -j 8 -c 8, the problem is when
significantly overloaded, the same circumstances under which Matheusz
reported a great improvement). So... it's very rarely accessing the
kqueue directly... but its existence somehow slows things down.
Curiously, when using poll() it's actually calling poll() ~90/sec for
me:
syscall seconds calls errors
sendto 0.352784808 3226 0
recvfrom 0.614855254 4125 916
poll 0.319396480 916 0
gettimeofday 2.659035352 22456 0
------------- ------- -------
3.946071894 30723 916
I don't know what's going on here. Based on the reports so far, we
know that kqueue gives a speedup when using bare metal with pgbench
running on a different machine, but a slowdown when using
virtualisation and pgbench running on the same machine (and I just
checked that that's observable with both Unix sockets and TCP
sockets). That gave me the idea of looking at pgbench itself:
Unpatched:
syscall seconds calls errors
ppoll 0.004869268 1 0
sendto 16.489416911 7033 0
recvfrom 21.137606238 7049 0
------------- ------- -------
37.631892417 14083 0
Patched:
syscall seconds calls errors
ppoll 0.002773195 1 0
sendto 16.597880468 7217 0
recvfrom 25.646406008 7238 0
------------- ------- -------
42.247059671 14456 0
I don't know why the existence of the kqueue should make recvfrom()
slower on the pgbench side. That's probably something to look into
off-line with some FreeBSD guru help. Degraded performance for
clients on the same machine does seem to be a show stopper for this
patch for now. Thanks for testing!
--
Thomas Munro
http://www.enterprisedb.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Thu, Jun 22, 2017 at 7:19 PM, Thomas Munro
wrote:
> I don't plan to resubmit this patch myself, but I was doing some
> spring cleaning and rebasing today and I figured it might be worth
> quietly leaving a working patch here just in case anyone from the
> various BSD communities is interested in taking the idea further.
Since there was a mention of kqueue on -hackers today, here's another
rebase. I got curious just now and ran a very quick test on an AWS 64
vCPU m4.16xlarge instance running image "FreeBSD
11.1-STABLE-amd64-2017-08-08 - ami-00608178". I set shared_buffers =
10GB and ran pgbench approximately the same way Heikki and Keith did
upthread:
pgbench -i -s 200 postgres
pgbench -M prepared -j 6 -c 6 -S postgres -T60 -P1
pgbench -M prepared -j 12 -c 12 -S postgres -T60 -P1
pgbench -M prepared -j 24 -c 24 -S postgres -T60 -P1
pgbench -M prepared -j 36 -c 36 -S postgres -T60 -P1
pgbench -M prepared -j 48 -c 48 -S postgres -T60 -P1
The TPS numbers I got (including connections establishing) were:
clients master patched
6 146,215 147,535 (+0.9%)
12 273,056 280,505 (+2.7%)
24 360,751 369,965 (+2.5%)
36 413,147 420,769 (+1.8%)
48 416,189 444,537 (+6.8%)
The patch appears to be doing something positive on this particular
system and that effect was stable over a few runs.
--
Thomas Munro
http://www.enterprisedb.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Tue, May 22, 2018 at 12:07 PM Thomas Munro wrote: > On Mon, May 21, 2018 at 7:27 PM, Mateusz Guzik wrote: > > I have benchmarked the change on a FreeBSD box and found an big > > performance win once the number of clients goes beyond the number of > > hardware threads on the target machine. For smaller number of clients > > the win was very modest. > > So to summarise your results: > > 32 connections: ~445k -> ~450k = +1.2% > 64 connections: ~416k -> ~544k = +30.7% > 96 connections: ~331k -> ~508k = +53.6% I would like to commit this patch for PostgreSQL 12, based on this report. We know it helps performance on macOS developer machines and big FreeBSD servers, and it is the right kernel interface for the job on principle. Matteo Beccati reported a 5-10% performance drop on a low-end Celeron NetBSD box which we have no explanation for, and we have no reports from server-class machines on that OS -- so perhaps we (or the NetBSD port?) should consider building with WAIT_USE_POLL on NetBSD until someone can figure out what needs to be fixed there (possibly on the NetBSD side)? Here's a rebased patch, which I'm adding to the to November CF to give people time to retest, object, etc if they want to. -- Thomas Munro http://www.enterprisedb.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Mon, May 21, 2018 at 7:27 PM, Mateusz Guzik wrote: > I have benchmarked the change on a FreeBSD box and found an big > performance win once the number of clients goes beyond the number of > hardware threads on the target machine. For smaller number of clients > the win was very modest. Thanks for the report! This is good news for the patch, if we can explain a few mysteries. > 3 variants were tested: > - stock 10.3 > - stock 10.3 + pdeathsig > - stock 10.3 + pdeathsig + kqueue For the record, "pdeathsig" refers to another patch of mine[1] that is not relevant to this test (it's a small change in the recovery loop, important for replication but not even reached here). > [a bunch of neat output from ministat] So to summarise your results: 32 connections: ~445k -> ~450k = +1.2% 64 connections: ~416k -> ~544k = +30.7% 96 connections: ~331k -> ~508k = +53.6% As you added more connections above your thread count, stock 10.3's TPS number went down, but with the patch it went up. So now we have to explain why you see a huge performance boost but others reported a modest gain or in some cases loss. The main things that jump out: 1. You used TCP sockets and ran pgbench on another machine, while others used Unix domain sockets. 2. You're running a newer/bleeding edge kernel. 3. You used more CPUs than most reporters. For the record, Mateusz and others discovered some fixable global lock contention in the Unix domain socket layer that is now being hacked on[2], though it's not clear if that'd affect the results reported earlier or not. [1] https://www.postgresql.org/message-id/CAEepm%3D0w9AAHAH73-tkZ8VS2Lg6JzY4ii3TG7t-R%2B_MWyUAk9g%40mail.gmail.com [2] https://reviews.freebsd.org/D15430 -- Thomas Munro http://www.enterprisedb.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Wed, Apr 11, 2018 at 1:05 PM, Thomas Munro wrote: > I heard through the grapevine of some people currently investigating > performance problems on busy FreeBSD systems, possibly related to the > postmaster pipe. I suspect this patch might be a part of the solution > (other patches probably needed to get maximum value out of this patch: > reuse WaitEventSet objects in some key places, and get rid of high > frequency PostmasterIsAlive() read() calls). The autoconf-fu in the > last version bit-rotted so it seemed like a good time to post a > rebased patch. Once I knew how to get a message resent to someone who wasn't subscribed to our mailing list at the time it was sent[1] so they could join an existing thread. I don't know how to do that with the new mailing list software, so I'm CC'ing Mateusz so he can share his results on-thread. Sorry for the noise. [1] https://www.postgresql.org/message-id/CAEepm=0-KsV4Sj-0Qd4rMCg7UYdOQA=TUjLkEZOX7h_qiQQaCA@mail.gmail.com -- Thomas Munro http://www.enterprisedb.com
kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
Hi, On the WaitEventSet thread I posted a small patch to add kqueue support[1]. Since then I peeked at how some other software[2] interacts with kqueue and discovered that there are platforms including NetBSD where kevent.udata is an intptr_t instead of a void *. Here's a version which should compile there. Would any NetBSD user be interested in testing this? (An alternative would be to make configure to test for this with some kind of AC_COMPILE_IFELSE incantation but the steamroller cast is simpler.) [1] http://www.postgresql.org/message-id/CAEepm=1dZ_mC+V3YtB79zf27280nign8MKOLxy2FKhvc1RzN=g@mail.gmail.com [2] https://github.com/libevent/libevent/commit/5602e451ce872d7d60c640590113c5a81c3fc389 -- Thomas Munro http://www.enterprisedb.com
Re: kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Wed, Sep 7, 2016 at 12:32 AM, Marko Tiikkaja wrote: > I've tested and reviewed this, and it looks good to me, other than this > part: > > + /* > + * kevent guarantees that the change list has been processed in the > EINTR > + * case. Here we are only applying a change list so EINTR counts as > + * success. > + */ > > this doesn't seem to be guaranteed on old versions of FreeBSD or any other > BSD flavors, so I don't think it's a good idea to bake the assumption into > this code. Or what do you think? Thanks for the testing and review! Hmm. Well spotted. I wrote that because the man page from FreeBSD 10.3 says: When kevent() call fails with EINTR error, all changes in the changelist have been applied. This sentence is indeed missing from the OpenBSD, NetBSD and OSX man pages. It was introduced by FreeBSD commit r280818[1] which made kevent a Pthread cancellation point. I investigated whether it is also true in older FreeBSD and the rest of the BSD family. I believe the answer is yes. 1. That commit doesn't do anything that would change the situation: it just adds thread cancellation wrapper code to libc and libthr which exits under certain conditions but otherwise lets EINTR through to the caller. So I think the new sentence is documentation of the existing behaviour of the syscall. 2. I looked at the code in FreeBSD 4.1[2] (the original kqueue implementation from which all others derive) and the four modern OSes[3][4][5][6]. They vary a bit but in all cases, the first place that can produce EINTR appears to be in kqueue_scan when the (variously named) kernel sleep routine is invoked, which can return EINTR or ERESTART (later translated to EINTR because kevent doesn't support restarting). That comes after all changes have been applied. In fact it's unreachable if nevents is 0: OSX doesn't call kqueue_scan in that case, and the others return early from kqueue_scan in that case. 3. An old email[7] from Jonathan Lemon (creator of kqueue) seems to support that at least in respect of ancient FreeBSD. He wrote: "Technically, an EINTR is returned when a signal interrupts the process after it goes to sleep (that is, after it calls tsleep). So if (as an example) you call kevent() with a zero valued timespec, you'll never get EINTR, since there's no possibility of it sleeping." So if I've understood correctly, what I wrote in the v4 patch is universally true, but it's also moot in this case: kevent cannot fail with errno == EINTR because nevents == 0. On that basis, here is a new version with the comment and special case for EINTR removed. [1] https://svnweb.freebsd.org/base?view=revision&revision=280818 [2] https://github.com/freebsd/freebsd/blob/release/4.1.0/sys/kern/kern_event.c [3] https://github.com/freebsd/freebsd/blob/master/sys/kern/kern_event.c [4] https://github.com/IIJ-NetBSD/netbsd-src/blob/master/sys/kern/kern_event.c [5] https://github.com/openbsd/src/blob/master/sys/kern/kern_event.c [6] https://github.com/opensource-apple/xnu/blob/master/bsd/kern/kern_event.c [7] http://marc.info/?l=freebsd-arch&m=98147346707952&w=2 -- Thomas Munro http://www.enterprisedb.com
Re: [HACKERS] kqueue
От:
Thomas Munro <thomas.munro@enterprisedb.com>
Дата:
On Wed, Dec 6, 2017 at 12:53 AM, Thomas Munro wrote: > On Thu, Jun 22, 2017 at 7:19 PM, Thomas Munro > wrote: >> I don't plan to resubmit this patch myself, but I was doing some >> spring cleaning and rebasing today and I figured it might be worth >> quietly leaving a working patch here just in case anyone from the >> various BSD communities is interested in taking the idea further. I heard through the grapevine of some people currently investigating performance problems on busy FreeBSD systems, possibly related to the postmaster pipe. I suspect this patch might be a part of the solution (other patches probably needed to get maximum value out of this patch: reuse WaitEventSet objects in some key places, and get rid of high frequency PostmasterIsAlive() read() calls). The autoconf-fu in the last version bit-rotted so it seemed like a good time to post a rebased patch. -- Thomas Munro http://www.enterprisedb.com
Re: kqueue
От:
Keith Fiske <keith@omniti.com>
Дата:
On Thu, Sep 15, 2016 at 11:11 PM, Thomas Munro <thomas.munro@enterprisedb.com > wrote:
Ran benchmarks on unaltered 96rc1 again just to be safe. Those are first. Decided to throw a 32 process test in there as well to see if there's anything going on between 4 and 64
~/pgsql96rc1/bin/pgbench -i -s 100 -d pgbench -p 5496
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1543809
latency average: 0.039 ms
tps = 25729.749474 (including connections establishing)
tps = 25731.006414 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1548340
latency average: 0.039 ms
tps = 25796.928387 (including connections establishing)
tps = 25798.275891 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1535072
latency average: 0.039 ms
tps = 25584.182830 (including connections establishing)
tps = 25585.487246 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5621013
latency average: 0.043 ms
tps = 93668.594248 (including connections establishing)
tps = 93674.730914 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5659929
latency average: 0.042 ms
tps = 94293.572928 (including connections establishing)
tps = 94300.500395 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5649572
latency average: 0.042 ms
tps = 94115.854165 (including connections establishing)
tps = 94123.436211 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5196336
latency average: 0.369 ms
tps = 86570.696138 (including connections establishing)
tps = 86608.648579 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5202443
latency average: 0.369 ms
tps = 86624.724577 (including connections establishing)
tps = 86664.848857 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5198412
latency average: 0.369 ms
tps = 86637.730825 (including connections establishing)
tps = 86668.706105 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4790285
latency average: 0.802 ms
tps = 79800.369679 (including connections establishing)
tps = 79941.243428 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4852921
latency average: 0.791 ms
tps = 79924.873678 (including connections establishing)
tps = 80179.182200 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4672965
latency average: 0.822 ms
tps = 77871.911528 (including connections establishing)
tps = 77961.614345 (excluding connections establishing)
~/pgsql96rc1_kqueue_v6/bin/pgbench -i -s 100 -d pgbench -p 5496
Ran more than 3 times on occasion since results were coming out differently by larger than expected values sometimes. Probably just something else running on the server at the time.
Again, no real noticeable difference for single process
For 4 processes, things are mostly the same and only very, very slightly lower, which is better than before.
For thirty-two processes, I saw a slight increase in performance for v6.
But, again, for 64 the results were slightly worse. Although the last run did almost match, most runs were lower. They're better than they were last time, but still not as good as the unchanged 96rc1
SINGLE
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1508745
latency average: 0.040 ms
tps = 25145.524948 (including connections establishing)
tps = 25146.433564 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1346454
latency average: 0.045 ms
tps = 22440.692798 (including connections establishing)
tps = 22441.527989 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1426906
latency average: 0.042 ms
tps = 23781.710780 (including connections establishing)
tps = 23782.523744 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1546252
latency average: 0.039 ms
tps = 25770.468513 (including connections establishing)
tps = 25771.352027 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1542366
latency average: 0.039 ms
tps = 25705.706274 (including connections establishing)
tps = 25706.577285 (excluding connections establishing)
FOUR
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5606159
latency average: 0.043 ms
tps = 93435.464767 (including connections establishing)
tps = 93442.716270 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5602564
latency average: 0.043 ms
tps = 93375.528201 (including connections establishing)
tps = 93381.999147 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5608675
latency average: 0.043 ms
tps = 93474.081114 (including connections establishing)
tps = 93481.634509 (excluding connections establishing)
THIRTY-TWO
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5273952
latency average: 0.364 ms
tps = 87855.483112 (including connections establishing)
tps = 87880.762662 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5294039
latency average: 0.363 ms
tps = 88126.254862 (including connections establishing)
tps = 88151.282371 (excluding connections establishing)
[keith@corpus ~]$
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5279444
latency average: 0.364 ms
tps = 87867.500628 (including connections establishing)
tps = 87891.856414 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5286405
latency average: 0.363 ms
tps = 88049.742194 (including connections establishing)
tps = 88077.409809 (excluding connections establishing)
SIXTY-FOUR
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4426565
latency average: 0.867 ms
tps = 72142.306576 (including connections establishing)
tps = 72305.201516 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4070048
latency average: 0.943 ms
tps = 66587.264608 (including connections establishing)
tps = 66711.820878 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4478535
latency average: 0.857 ms
tps = 72768.961061 (including connections establishing)
tps = 72930.488922 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4051086
latency average: 0.948 ms
tps = 66540.741821 (including connections establishing)
tps = 66601.943062 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4374049
latency average: 0.878 ms
tps = 72093.025134 (including connections establishing)
tps = 72271.145559 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4762663
latency average: 0.806 ms
tps = 79372.610362 (including connections establishing)
tps = 79535.601194 (excluding connections establishing)
As a sanity check I went back and ran the pgbench from the v5 patch to see if it was still lower. It is. So v6 seems to have a slight improvement in some cases.
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v5/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 4618814
latency average: 0.416 ms
tps = 76960.608378 (including connections establishing)
tps = 76981.609781 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v5/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 4649745
latency average: 0.413 ms
tps = 77491.094077 (including connections establishing)
tps = 77525.443941 (excluding connections establishing)
On Thu, Sep 15, 2016 at 11:04 AM, Thomas Munro
<thomas.munro@enterprisedb.com> wrote:
> On Thu, Sep 15, 2016 at 10:48 AM, Keith Fiske <keith@omniti.com> wrote:
>> Thomas Munro brought up in #postgresql on freenode needing someone to test a
>> patch on a larger FreeBSD server. I've got a pretty decent machine (3.1Ghz
>> Quad Core Xeon E3-1220V3, 16GB ECC RAM, ZFS mirror on WD Red HDD) so offered
>> to give it a try.
>>
>> Bench setup was:
>> pgbench -i -s 100 -d postgres
>>
>> I ran this against 96rc1 instead of HEAD like most of the others in this
>> thread seem to have done. Not sure if that makes a difference and can re-run
>> if needed.
>> With higher concurrency, this seems to cause decreased performance. You can
>> tell which of the runs is the kqueue patch by looking at the path to
>> pgbench.
>
> Thanks Keith. So to summarise, you saw no change with 1 client, but
> with 4 clients you saw a significant drop in performance (~93K TPS ->
> ~80K TPS), and a smaller drop for 64 clients (~72 TPS -> ~68K TPS).
> These results seem to be a nail in the coffin for this patch for now.
>
> Thanks to everyone who tested. I might be back in a later commitfest
> if I can figure out why and how to fix it.
Ok, here's a version tweaked to use EVFILT_PROC for postmaster death
detection instead of the pipe, as Tom Lane suggested in another
thread[1].
The pipe still exists and is used for PostmasterIsAlive(), and also
for the race case where kevent discovers that the PID doesn't exist
when you try to add it (presumably it died already, but we want to
defer the report of that until you call EventSetWait, so in that case
we stick the traditional pipe into the kqueue set as before so that
it'll fire a readable-because-EOF event then).
Still no change measurable on my laptop. Keith, would you be able to
test this on your rig and see if it sucks any less than the last one?
[1] https://www.postgresql.org/message-id/13774.1473972000%40sss .pgh.pa.us
Ran benchmarks on unaltered 96rc1 again just to be safe. Those are first. Decided to throw a 32 process test in there as well to see if there's anything going on between 4 and 64
~/pgsql96rc1/bin/pgbench -i -s 100 -d pgbench -p 5496
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1543809
latency average: 0.039 ms
tps = 25729.749474 (including connections establishing)
tps = 25731.006414 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1548340
latency average: 0.039 ms
tps = 25796.928387 (including connections establishing)
tps = 25798.275891 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1535072
latency average: 0.039 ms
tps = 25584.182830 (including connections establishing)
tps = 25585.487246 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5621013
latency average: 0.043 ms
tps = 93668.594248 (including connections establishing)
tps = 93674.730914 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5659929
latency average: 0.042 ms
tps = 94293.572928 (including connections establishing)
tps = 94300.500395 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5649572
latency average: 0.042 ms
tps = 94115.854165 (including connections establishing)
tps = 94123.436211 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5196336
latency average: 0.369 ms
tps = 86570.696138 (including connections establishing)
tps = 86608.648579 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5202443
latency average: 0.369 ms
tps = 86624.724577 (including connections establishing)
tps = 86664.848857 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5198412
latency average: 0.369 ms
tps = 86637.730825 (including connections establishing)
tps = 86668.706105 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4790285
latency average: 0.802 ms
tps = 79800.369679 (including connections establishing)
tps = 79941.243428 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4852921
latency average: 0.791 ms
tps = 79924.873678 (including connections establishing)
tps = 80179.182200 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4672965
latency average: 0.822 ms
tps = 77871.911528 (including connections establishing)
tps = 77961.614345 (excluding connections establishing)
~/pgsql96rc1_kqueue_v6/bin/pgbench -i -s 100 -d pgbench -p 5496
Ran more than 3 times on occasion since results were coming out differently by larger than expected values sometimes. Probably just something else running on the server at the time.
Again, no real noticeable difference for single process
For 4 processes, things are mostly the same and only very, very slightly lower, which is better than before.
For thirty-two processes, I saw a slight increase in performance for v6.
But, again, for 64 the results were slightly worse. Although the last run did almost match, most runs were lower. They're better than they were last time, but still not as good as the unchanged 96rc1
I can try running against HEAD if you'd like.
SINGLE
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1508745
latency average: 0.040 ms
tps = 25145.524948 (including connections establishing)
tps = 25146.433564 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1346454
latency average: 0.045 ms
tps = 22440.692798 (including connections establishing)
tps = 22441.527989 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1426906
latency average: 0.042 ms
tps = 23781.710780 (including connections establishing)
tps = 23782.523744 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1546252
latency average: 0.039 ms
tps = 25770.468513 (including connections establishing)
tps = 25771.352027 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1542366
latency average: 0.039 ms
tps = 25705.706274 (including connections establishing)
tps = 25706.577285 (excluding connections establishing)
FOUR
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5606159
latency average: 0.043 ms
tps = 93435.464767 (including connections establishing)
tps = 93442.716270 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5602564
latency average: 0.043 ms
tps = 93375.528201 (including connections establishing)
tps = 93381.999147 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5608675
latency average: 0.043 ms
tps = 93474.081114 (including connections establishing)
tps = 93481.634509 (excluding connections establishing)
THIRTY-TWO
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5273952
latency average: 0.364 ms
tps = 87855.483112 (including connections establishing)
tps = 87880.762662 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5294039
latency average: 0.363 ms
tps = 88126.254862 (including connections establishing)
tps = 88151.282371 (excluding connections establishing)
[keith@corpus ~]$
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5279444
latency average: 0.364 ms
tps = 87867.500628 (including connections establishing)
tps = 87891.856414 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 5286405
latency average: 0.363 ms
tps = 88049.742194 (including connections establishing)
tps = 88077.409809 (excluding connections establishing)
SIXTY-FOUR
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4426565
latency average: 0.867 ms
tps = 72142.306576 (including connections establishing)
tps = 72305.201516 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4070048
latency average: 0.943 ms
tps = 66587.264608 (including connections establishing)
tps = 66711.820878 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4478535
latency average: 0.857 ms
tps = 72768.961061 (including connections establishing)
tps = 72930.488922 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4051086
latency average: 0.948 ms
tps = 66540.741821 (including connections establishing)
tps = 66601.943062 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4374049
latency average: 0.878 ms
tps = 72093.025134 (including connections establishing)
tps = 72271.145559 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v6/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4762663
latency average: 0.806 ms
tps = 79372.610362 (including connections establishing)
tps = 79535.601194 (excluding connections establishing)
As a sanity check I went back and ran the pgbench from the v5 patch to see if it was still lower. It is. So v6 seems to have a slight improvement in some cases.
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v5/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 4618814
latency average: 0.416 ms
tps = 76960.608378 (including connections establishing)
tps = 76981.609781 (excluding connections establishing)
[keith@corpus ~]$ /home/keith/pgsql96rc1_kqueue_v5/bin/pgbench -T 60 -j 32 -c 32 -M prepared -S -p 5496 pgbench
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 32
number of threads: 32
duration: 60 s
number of transactions actually processed: 4649745
latency average: 0.413 ms
tps = 77491.094077 (including connections establishing)
tps = 77525.443941 (excluding connections establishing)
Re: kqueue
От:
Keith Fiske <keith@omniti.com>
Дата:
On Wed, Sep 14, 2016 at 9:09 AM, Matteo Beccati <php@beccati.com> wrote:
Hi,
On 14/09/2016 00:06, Tom Lane wrote:I'm inclined to think the kqueue patch is worth applying just on the
grounds that it makes things better on OS X and doesn't seem to hurt
on FreeBSD. Whether anyone would ever get to the point of seeing
intra-kernel contention on these platforms is hard to predict, but
we'd be ahead of the curve if so.
It would be good for someone else to reproduce my results though.
For one thing, 5%-ish is not that far above the noise level; maybe
what I'm measuring here is just good luck from relocation of critical
loops into more cache-line-friendly locations.
FWIW, I've tested HEAD vs patch on a 2-cpu low end NetBSD 7.0 i386 machine.
HEAD: 1890/1935/1889 tps
kqueue: 1905/1957/1932 tps
no weird surprises, and basically no differences either.
Cheers
--
Matteo Beccati
Development & Consulting - http://www.beccati.com/
Thomas Munro brought up in #postgresql on freenode needing someone to test a patch on a larger FreeBSD server. I've got a pretty decent machine (3.1Ghz Quad Core Xeon E3-1220V3, 16GB ECC RAM, ZFS mirror on WD Red HDD) so offered to give it a try.
Bench setup was:
pgbench -i -s 100 -d postgres
pgbench -i -s 100 -d postgres
I ran this against 96rc1 instead of HEAD like most of the others in this thread seem to have done. Not sure if that makes a difference and can re-run if needed.
With higher concurrency, this seems to cause decreased performance. You can tell which of the runs is the kqueue patch by looking at the path to pgbench.
With higher concurrency, this seems to cause decreased performance. You can tell which of the runs is the kqueue patch by looking at the path to pgbench.
SINGLE PROCESS
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1547387
latency average: 0.039 ms
tps = 25789.750236 (including connections establishing)
tps = 25791.018293 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1549442
latency average: 0.039 ms
tps = 25823.981255 (including connections establishing)
tps = 25825.189871 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1547936
latency average: 0.039 ms
tps = 25798.572583 (including connections establishing)
tps = 25799.917170 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1520722
latency average: 0.039 ms
tps = 25343.122533 (including connections establishing)
tps = 25344.357116 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496~
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1549282
latency average: 0.039 ms
tps = 25821.107595 (including connections establishing)
tps = 25822.407310 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496~
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1541907
latency average: 0.039 ms
tps = 25698.025983 (including connections establishing)
tps = 25699.270663 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1547387
latency average: 0.039 ms
tps = 25789.750236 (including connections establishing)
tps = 25791.018293 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1549442
latency average: 0.039 ms
tps = 25823.981255 (including connections establishing)
tps = 25825.189871 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1547936
latency average: 0.039 ms
tps = 25798.572583 (including connections establishing)
tps = 25799.917170 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1520722
latency average: 0.039 ms
tps = 25343.122533 (including connections establishing)
tps = 25344.357116 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496~
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1549282
latency average: 0.039 ms
tps = 25821.107595 (including connections establishing)
tps = 25822.407310 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 1 -c 1 -M prepared -S postgres -p 5496~
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 1
number of threads: 1
duration: 60 s
number of transactions actually processed: 1541907
latency average: 0.039 ms
tps = 25698.025983 (including connections establishing)
tps = 25699.270663 (excluding connections establishing)
FOUR
/home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 4282185
latency average: 0.056 ms
tps = 71369.146931 (including connections establishing)
tps = 71372.646243 (excluding connections establishing)
[keith@corpus ~/postgresql-9.6rc1_kqueue]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 4777596
latency average: 0.050 ms
tps = 79625.214521 (including connections establishing)
tps = 79629.800123 (excluding connections establishing)
[keith@corpus ~/postgresql-9.6rc1_kqueue]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 4809132
latency average: 0.050 ms
tps = 80151.803249 (including connections establishing)
tps = 80155.903203 (excluding connections establishing)
/home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5114286
latency average: 0.047 ms
tps = 85236.858383 (including connections establishing)
tps = 85241.847800 (excluding connections establishing)
/home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5600194
latency average: 0.043 ms
tps = 93335.508864 (including connections establishing)
tps = 93340.970416 (excluding connections establishing)
/home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5606962
latency average: 0.043 ms
tps = 93447.905764 (including connections establishing)
tps = 93454.077142 (excluding connections establishing)
/home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 4282185
latency average: 0.056 ms
tps = 71369.146931 (including connections establishing)
tps = 71372.646243 (excluding connections establishing)
[keith@corpus ~/postgresql-9.6rc1_kqueue]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 4777596
latency average: 0.050 ms
tps = 79625.214521 (including connections establishing)
tps = 79629.800123 (excluding connections establishing)
[keith@corpus ~/postgresql-9.6rc1_kqueue]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 4809132
latency average: 0.050 ms
tps = 80151.803249 (including connections establishing)
tps = 80155.903203 (excluding connections establishing)
/home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5114286
latency average: 0.047 ms
tps = 85236.858383 (including connections establishing)
tps = 85241.847800 (excluding connections establishing)
/home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5600194
latency average: 0.043 ms
tps = 93335.508864 (including connections establishing)
tps = 93340.970416 (excluding connections establishing)
/home/keith/pgsql96rc1/bin/pgbench -T 60 -j 4 -c 4 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 4
number of threads: 4
duration: 60 s
number of transactions actually processed: 5606962
latency average: 0.043 ms
tps = 93447.905764 (including connections establishing)
tps = 93454.077142 (excluding connections establishing)
SIXTY-FOUR
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4084213
latency average: 0.940 ms
tps = 67633.476871 (including connections establishing)
tps = 67751.865998 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4119994
latency average: 0.932 ms
tps = 68474.847365 (including connections establishing)
tps = 68540.221835 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4068071
latency average: 0.944 ms
tps = 67192.603129 (including connections establishing)
tps = 67254.760177 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4281302
latency average: 0.897 ms
tps = 70147.847337 (including connections establishing)
tps = 70389.283564 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4573114
latency average: 0.840 ms
tps = 74848.884475 (including connections establishing)
tps = 75102.862539 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4341447
latency average: 0.884 ms
tps = 72350.152281 (including connections establishing)
tps = 72421.831179 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4084213
latency average: 0.940 ms
tps = 67633.476871 (including connections establishing)
tps = 67751.865998 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4119994
latency average: 0.932 ms
tps = 68474.847365 (including connections establishing)
tps = 68540.221835 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1_kqueue/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4068071
latency average: 0.944 ms
tps = 67192.603129 (including connections establishing)
tps = 67254.760177 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4281302
latency average: 0.897 ms
tps = 70147.847337 (including connections establishing)
tps = 70389.283564 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4573114
latency average: 0.840 ms
tps = 74848.884475 (including connections establishing)
tps = 75102.862539 (excluding connections establishing)
[keith@corpus /tank/pgdata]$ /home/keith/pgsql96rc1/bin/pgbench -T 60 -j 64 -c 64 -M prepared -S postgres -p 5496
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 100
query mode: prepared
number of clients: 64
number of threads: 64
duration: 60 s
number of transactions actually processed: 4341447
latency average: 0.884 ms
tps = 72350.152281 (including connections establishing)
tps = 72421.831179 (excluding connections establishing)
Re: [HACKERS] kqueue
От:
Mateusz Guzik <mjguzik@gmail.com>
Дата:
On Mon, May 21, 2018 at 9:03 AM, Thomas Munro <thomas.munro@enterprisedb.com> wrote:
The test was performed few weeks ago.
For convenience PostgreSQL 10.3 as found in the ports tree was used.
3 variants were tested:
- stock 10.3
- stock 10.3 + pdeathsig
- stock 10.3 + pdeathsig + kqueue
Appropriate patches were provided by Thomas.
In order to keep this message PG-13 I'm not going to show the actual
script, but a mere outline:
for i in $(seq 1 10): do
for t in vanilla pdeathsig pdeathsig_kqueue; do
start up the relevant version
for c in 32 64 96; do
pgbench -j 96 -c $c -T 120 -M prepared -S -U bench -h 172.16.0.2 -P1 bench > ${t}-${c}-out-warmup 2>&1
pgbench -j 96 -c $c -T 120 -M prepared -S -U bench -h 172.16.0.2 -P1 bench > ${t}-${c}-out 2>&1
done
shutdown the relevant version
done
Data from the warmup is not used. All the data was pre-read prior to the
test.
PostgreSQL was configured with 32GB of shared buffers and 200 max
connections, otherwise it was the default.
The server is:
Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz
2 package(s) x 8 core(s) x 2 hardware threads
i.e. 32 threads in total.
running FreeBSD -head with 'options NUMA' in kernel config and
sysctl net.inet.tcp.per_cpu_timers=1 on top of zfs.
The load was generated from a different box over a 100Gbit ethernet link.
x cumulative-tps-vanilla-32
+ cumulative-tps-pdeathsig-32
* cumulative-tps-pdeathsig_kqueue-32
+------------------------------------------------------------------------+
|+ + x+* x+ * x * + * * * * ** * ** *|
| |_____|__M_A___M_A_____|____| |________MA________| |
+------------------------------------------------------------------------+
N Min Max Median Avg Stddev
x 10 442898.77 448476.81 444805.17 445062.08 1679.7169
+ 10 442057.2 447835.46 443840.28 444235.01 1771.2254
No difference proven at 95.0% confidence
* 10 448138.07 452786.41 450274.56 450311.51 1387.2927
Difference at 95.0% confidence
5249.43 +/- 1447.41
1.17948% +/- 0.327501%
(Student's t, pooled s = 1540.46)
x cumulative-tps-vanilla-64
+ cumulative-tps-pdeathsig-64
* cumulative-tps-pdeathsig_kqueue-64
+------------------------------------------------------------------------+
| ** |
| ** |
| xx x + ***|
|++**x *+*++ ***|
| ||_A|M_| |A |
+------------------------------------------------------------------------+
N Min Max Median Avg Stddev
x 10 411849.26 422145.5 416043.77 416061.9 3763.2545
+ 10 407123.74 425727.84 419908.73 417480.7 6817.5549
No difference proven at 95.0% confidence
* 10 542032.71 546106.93 543948.05 543874.06 1234.1788
Difference at 95.0% confidence
127812 +/- 2631.31
30.7195% +/- 0.809892%
(Student's t, pooled s = 2800.47)
x cumulative-tps-vanilla-96
+ cumulative-tps-pdeathsig-96
* cumulative-tps-pdeathsig_kqueue-96
+------------------------------------------------------------------------+
| * |
| * |
| * |
| * |
| + x * |
| *xxx+ **|
|+ *****+ * **|
| |MA|| |A||
+------------------------------------------------------------------------+
N Min Max Median Avg Stddev
x 10 325263.7 336338 332399.16 331321.82 3571.2478
+ 10 321213.33 338669.66 329553.78 330903.58 5652.008
No difference proven at 95.0% confidence
* 10 503877.22 511449.96 508708.41 508808.51 2016.9483
Difference at 95.0% confidence
177487 +/- 2724.98
53.5693% +/- 1.17178%
(Student's t, pooled s = 2900.16)
--
On Wed, Apr 11, 2018 at 1:05 PM, Thomas Munro
<thomas.munro@enterprisedb.com> wrote:
> I heard through the grapevine of some people currently investigating
> performance problems on busy FreeBSD systems, possibly related to the
> postmaster pipe. I suspect this patch might be a part of the solution
> (other patches probably needed to get maximum value out of this patch:
> reuse WaitEventSet objects in some key places, and get rid of high
> frequency PostmasterIsAlive() read() calls). The autoconf-fu in the
> last version bit-rotted so it seemed like a good time to post a
> rebased patch.
Hi everyone,
I have benchmarked the change on a FreeBSD box and found an big
performance win once the number of clients goes beyond the number of
hardware threads on the target machine. For smaller number of clients
I have benchmarked the change on a FreeBSD box and found an big
performance win once the number of clients goes beyond the number of
hardware threads on the target machine. For smaller number of clients
the win was very modest.
The test was performed few weeks ago.
For convenience PostgreSQL 10.3 as found in the ports tree was used.
3 variants were tested:
- stock 10.3
- stock 10.3 + pdeathsig
- stock 10.3 + pdeathsig + kqueue
Appropriate patches were provided by Thomas.
In order to keep this message PG-13 I'm not going to show the actual
script, but a mere outline:
for i in $(seq 1 10): do
for t in vanilla pdeathsig pdeathsig_kqueue; do
start up the relevant version
for c in 32 64 96; do
pgbench -j 96 -c $c -T 120 -M prepared -S -U bench -h 172.16.0.2 -P1 bench > ${t}-${c}-out-warmup 2>&1
pgbench -j 96 -c $c -T 120 -M prepared -S -U bench -h 172.16.0.2 -P1 bench > ${t}-${c}-out 2>&1
done
shutdown the relevant version
done
Data from the warmup is not used. All the data was pre-read prior to the
test.
PostgreSQL was configured with 32GB of shared buffers and 200 max
connections, otherwise it was the default.
The server is:
Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz
2 package(s) x 8 core(s) x 2 hardware threads
i.e. 32 threads in total.
running FreeBSD -head with 'options NUMA' in kernel config and
sysctl net.inet.tcp.per_cpu_timers=1 on top of zfs.
The load was generated from a different box over a 100Gbit ethernet link.
x cumulative-tps-vanilla-32
+ cumulative-tps-pdeathsig-32
* cumulative-tps-pdeathsig_kqueue-32
+------------------------------------------------------------------------+
|+ + x+* x+ * x * + * * * * ** * ** *|
| |_____|__M_A___M_A_____|____| |________MA________| |
+------------------------------------------------------------------------+
N Min Max Median Avg Stddev
x 10 442898.77 448476.81 444805.17 445062.08 1679.7169
+ 10 442057.2 447835.46 443840.28 444235.01 1771.2254
No difference proven at 95.0% confidence
* 10 448138.07 452786.41 450274.56 450311.51 1387.2927
Difference at 95.0% confidence
5249.43 +/- 1447.41
1.17948% +/- 0.327501%
(Student's t, pooled s = 1540.46)
x cumulative-tps-vanilla-64
+ cumulative-tps-pdeathsig-64
* cumulative-tps-pdeathsig_kqueue-64
+------------------------------------------------------------------------+
| ** |
| ** |
| xx x + ***|
|++**x *+*++ ***|
| ||_A|M_| |A |
+------------------------------------------------------------------------+
N Min Max Median Avg Stddev
x 10 411849.26 422145.5 416043.77 416061.9 3763.2545
+ 10 407123.74 425727.84 419908.73 417480.7 6817.5549
No difference proven at 95.0% confidence
* 10 542032.71 546106.93 543948.05 543874.06 1234.1788
Difference at 95.0% confidence
127812 +/- 2631.31
30.7195% +/- 0.809892%
(Student's t, pooled s = 2800.47)
x cumulative-tps-vanilla-96
+ cumulative-tps-pdeathsig-96
* cumulative-tps-pdeathsig_kqueue-96
+------------------------------------------------------------------------+
| * |
| * |
| * |
| * |
| + x * |
| *xxx+ **|
|+ *****+ * **|
| |MA|| |A||
+------------------------------------------------------------------------+
N Min Max Median Avg Stddev
x 10 325263.7 336338 332399.16 331321.82 3571.2478
+ 10 321213.33 338669.66 329553.78 330903.58 5652.008
No difference proven at 95.0% confidence
* 10 503877.22 511449.96 508708.41 508808.51 2016.9483
Difference at 95.0% confidence
177487 +/- 2724.98
53.5693% +/- 1.17178%
(Student's t, pooled s = 2900.16)
--
Mateusz Guzik <mjguzik gmail.com>
Re: [HACKERS] kqueue
От:
Matteo Beccati <php@beccati.com>
Дата:
Hi, On 21/01/2020 02:06, Thomas Munro wrote: > [1] https://www.postgresql.org/message-id/CA%2BhUKGJAC4Oqao%3DqforhNey20J8CiG2R%3DoBPqvfR0vOJrFysGw%40mail.gmail.com I had a NetBSD 8.0 VM lying around and I gave the patch a spin on latest master. With the kqueue patch, a pgbench -c basically hangs the whole postgres instance. Not sure if it's a kernel issue, HyperVM issue o what, but when it hangs, I can't even kill -9 the postgres processes or get the VM to properly shutdown. The same doesn't happen, of course, with vanilla postgres. If the patch gets merged, I'd say it's safer not to enable it on NetBSD and eventually leave it up to the pkgsrc team. Cheers -- Matteo Beccati Development & Consulting - http://www.beccati.com/
Re: [HACKERS] kqueue
От:
Matteo Beccati <php@beccati.com>
Дата:
Hi Thomas, On 01/10/2018 01:09, Thomas Munro wrote: > I don't know why the existence of the kqueue should make recvfrom() > slower on the pgbench side. That's probably something to look into > off-line with some FreeBSD guru help. Degraded performance for > clients on the same machine does seem to be a show stopper for this > patch for now. Thanks for testing! Glad to be helpful! I've tried running pgbench from a separate VM and in fact kqueue consistently takes the lead with 5-10% more tps on select/prepared pgbench on NetBSD too. What I have observed is that sys cpu usage is ~65% (35% idle) with kqueue, while unpatched master averages at 55% (45% idle): relatively speaking that's almost 25% less idle cpu available for a local pgbench to do its own stuff. Running pgbench locally shows an average 47% usr / 53% sys cpu distribution w/ kqueue vs more like 50-50 w/ vanilla, so I'm inclined to think that's the reason why we see a performance drop instead. Thoguhts? Cheers -- Matteo Beccati Development & Consulting - http://www.beccati.com/