Message-ID: <CAM9d7cg4ErddXRXJWg7sAgSY=wzej8e4SO6NhsXJNDj69DyqCw@mail.gmail.com>
Date: Tue, 7 May 2024 15:27:21 -0700
From: Namhyung Kim <namhyung@...nel.org>
To: Andrii Nakryiko <andrii.nakryiko@...il.com>
Cc: Ian Rogers <irogers@...gle.com>, Greg KH <gregkh@...uxfoundation.org>, 
	Andrii Nakryiko <andrii@...nel.org>, linux-fsdevel@...r.kernel.org, brauner@...nel.org, 
	viro@...iv.linux.org.uk, akpm@...ux-foundation.org, 
	linux-kernel@...r.kernel.org, bpf@...r.kernel.org, linux-mm@...ck.org, 
	Arnaldo Carvalho de Melo <acme@...nel.org>, "linux-perf-use." <linux-perf-users@...r.kernel.org>
Subject: Re: [PATCH 5/5] selftests/bpf: a simple benchmark tool for
 /proc/<pid>/maps APIs

On Tue, May 7, 2024 at 10:29 AM Andrii Nakryiko
<andrii.nakryiko@...il.com> wrote:
>
> On Mon, May 6, 2024 at 10:06 PM Andrii Nakryiko
> <andrii.nakryiko@...il.com> wrote:
> >
> > On Mon, May 6, 2024 at 11:43 AM Ian Rogers <irogers@...gle.com> wrote:
> > >
> > > On Mon, May 6, 2024 at 11:32 AM Andrii Nakryiko
> > > <andrii.nakryiko@...il.com> wrote:
> > > >
> > > > On Sat, May 4, 2024 at 10:09 PM Ian Rogers <irogers@...gle.com> wrote:
> > > > >
> > > > > On Sat, May 4, 2024 at 2:57 PM Andrii Nakryiko
> > > > > <andrii.nakryiko@...il.com> wrote:
> > > > > >
> > > > > > On Sat, May 4, 2024 at 8:29 AM Greg KH <gregkh@...uxfoundation.org> wrote:
> > > > > > >
> > > > > > > On Fri, May 03, 2024 at 05:30:06PM -0700, Andrii Nakryiko wrote:
> > > > > > > > Implement a simple tool/benchmark for comparing address "resolution"
> > > > > > > > logic based on textual /proc/<pid>/maps interface and new binary
> > > > > > > > ioctl-based PROCFS_PROCMAP_QUERY command.
> > > > > > >
> > > > > > > Of course an artificial benchmark of "read a whole file" vs. "a tiny
> > > > > > > ioctl" is going to be different, but step back and show how this is
> > > > > > > going to be used in the real world overall.  Pounding on this file is
> > > > > > > not a normal operation, right?
> > > > > > >
> > > > > >
> > > > > > It's not artificial at all. It's *exactly* what, say, blazesym library
> > > > > > is doing (see [0], it's Rust and part of the overall library API, I
> > > > > > think C code in this patch is way easier to follow for someone not
> > > > > > familiar with implementation of blazesym, but both implementations are
> > > > > > doing exactly the same sequence of steps). You can do it even less
> > > > > > efficiently by parsing the whole file, building an in-memory lookup
> > > > > > table, then looking up addresses one by one. But that's even slower
> > > > > > and more memory-hungry. So I didn't even bother implementing that, it
> > > > > > would put /proc/<pid>/maps at even more disadvantage.
> > > > > >
> > > > > > Other applications that deal with stack traces (including perf) would
> > > > > > be doing one of those two approaches, depending on circumstances and
> > > > > > level of sophistication of code (and sensitivity to performance).
> > > > >
> > > > > The code in perf doing this is here:
> > > > > https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/tree/tools/perf/util/synthetic-events.c#n440
> > > > > The code is using the api/io.h code:
> > > > > https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/tree/tools/lib/api/io.h
> > > > > Using perf to profile perf it was observed time was spent allocating
> > > > > buffers and locale related activities when using stdio, so io is a
> > > > > lighter weight alternative, albeit with more verbose code than fscanf.
> > > > > You could add this as an alternate /proc/<pid>/maps reader, we have a
> > > > > similar benchmark in `perf bench internals synthesize`.
> > > > >
> > > >
> > > > If I add a new implementation using this ioctl() into
> > > > perf_event__synthesize_mmap_events(), will it be tested from this
> > > > `perf bench internals synthesize`? I'm not too familiar with perf code
> > > > organization, sorry if it's a stupid question. If not, where exactly
> > > > is the code that would be triggered from benchmark?
> > >
> > > Yes it would be triggered :-)
> >
> > Ok, I don't exactly know how to interpret the results (and what the
> > benchmark is doing), but numbers don't seem to be worse. They actually
> > seem to be a bit better.
> >
> > I pushed my code that adds perf integration to [0]. That commit has
> > results, but I'll post them here (with invocation parameters).
> > perf-ioctl is the version with ioctl()-based implementation,
> > perf-parse is, logically, text-parsing version. Here are the results
> > (and see my notes below the results as well):
> >
> > TEXT-BASED
> > ==========
> >
> > # ./perf-parse bench internals synthesize
> > # Running 'internals/synthesize' benchmark:
> > Computing performance of single threaded perf event synthesis by
> > synthesizing events on the perf process itself:
> >   Average synthesis took: 80.311 usec (+- 0.077 usec)
> >   Average num. events: 32.000 (+- 0.000)
> >   Average time per event 2.510 usec
> >   Average data synthesis took: 84.429 usec (+- 0.066 usec)
> >   Average num. events: 179.000 (+- 0.000)
> >   Average time per event 0.472 usec
> >
> > # ./perf-parse bench internals synthesize
> > # Running 'internals/synthesize' benchmark:
> > Computing performance of single threaded perf event synthesis by
> > synthesizing events on the perf process itself:
> >   Average synthesis took: 79.900 usec (+- 0.077 usec)
> >   Average num. events: 32.000 (+- 0.000)
> >   Average time per event 2.497 usec
> >   Average data synthesis took: 84.832 usec (+- 0.074 usec)
> >   Average num. events: 180.000 (+- 0.000)
> >   Average time per event 0.471 usec
> >
> > # ./perf-parse bench internals synthesize --mt -M 8
> > # Running 'internals/synthesize' benchmark:
> > Computing performance of multi threaded perf event synthesis by
> > synthesizing events on CPU 0:
> >   Number of synthesis threads: 1
> >     Average synthesis took: 36338.100 usec (+- 406.091 usec)
> >     Average num. events: 14091.300 (+- 7.433)
> >     Average time per event 2.579 usec
> >   Number of synthesis threads: 2
> >     Average synthesis took: 37071.200 usec (+- 746.498 usec)
> >     Average num. events: 14085.900 (+- 1.900)
> >     Average time per event 2.632 usec
> >   Number of synthesis threads: 3
> >     Average synthesis took: 33932.300 usec (+- 626.861 usec)
> >     Average num. events: 14085.900 (+- 1.900)
> >     Average time per event 2.409 usec
> >   Number of synthesis threads: 4
> >     Average synthesis took: 33822.700 usec (+- 506.290 usec)
> >     Average num. events: 14099.200 (+- 8.761)
> >     Average time per event 2.399 usec
> >   Number of synthesis threads: 5
> >     Average synthesis took: 33348.200 usec (+- 389.771 usec)
> >     Average num. events: 14085.900 (+- 1.900)
> >     Average time per event 2.367 usec
> >   Number of synthesis threads: 6
> >     Average synthesis took: 33269.600 usec (+- 350.341 usec)
> >     Average num. events: 14084.000 (+- 0.000)
> >     Average time per event 2.362 usec
> >   Number of synthesis threads: 7
> >     Average synthesis took: 32663.900 usec (+- 338.870 usec)
> >     Average num. events: 14085.900 (+- 1.900)
> >     Average time per event 2.319 usec
> >   Number of synthesis threads: 8
> >     Average synthesis took: 32748.400 usec (+- 285.450 usec)
> >     Average num. events: 14085.900 (+- 1.900)
> >     Average time per event 2.325 usec
> >
> > IOCTL-BASED
> > ===========
> > # ./perf-ioctl bench internals synthesize
> > # Running 'internals/synthesize' benchmark:
> > Computing performance of single threaded perf event synthesis by
> > synthesizing events on the perf process itself:
> >   Average synthesis took: 72.996 usec (+- 0.076 usec)
> >   Average num. events: 31.000 (+- 0.000)
> >   Average time per event 2.355 usec
> >   Average data synthesis took: 79.067 usec (+- 0.074 usec)
> >   Average num. events: 178.000 (+- 0.000)
> >   Average time per event 0.444 usec
> >
> > # ./perf-ioctl bench internals synthesize
> > # Running 'internals/synthesize' benchmark:
> > Computing performance of single threaded perf event synthesis by
> > synthesizing events on the perf process itself:
> >   Average synthesis took: 73.921 usec (+- 0.073 usec)
> >   Average num. events: 31.000 (+- 0.000)
> >   Average time per event 2.385 usec
> >   Average data synthesis took: 80.545 usec (+- 0.070 usec)
> >   Average num. events: 178.000 (+- 0.000)
> >   Average time per event 0.453 usec
> >
> > # ./perf-ioctl bench internals synthesize --mt -M 8
> > # Running 'internals/synthesize' benchmark:
> > Computing performance of multi threaded perf event synthesis by
> > synthesizing events on CPU 0:
> >   Number of synthesis threads: 1
> >     Average synthesis took: 35609.500 usec (+- 428.576 usec)
> >     Average num. events: 14040.700 (+- 1.700)
> >     Average time per event 2.536 usec
> >   Number of synthesis threads: 2
> >     Average synthesis took: 34293.800 usec (+- 453.811 usec)
> >     Average num. events: 14040.700 (+- 1.700)
> >     Average time per event 2.442 usec
> >   Number of synthesis threads: 3
> >     Average synthesis took: 32385.200 usec (+- 363.106 usec)
> >     Average num. events: 14040.700 (+- 1.700)
> >     Average time per event 2.307 usec
> >   Number of synthesis threads: 4
> >     Average synthesis took: 33113.100 usec (+- 553.931 usec)
> >     Average num. events: 14054.500 (+- 11.469)
> >     Average time per event 2.356 usec
> >   Number of synthesis threads: 5
> >     Average synthesis took: 31600.600 usec (+- 297.349 usec)
> >     Average num. events: 14012.500 (+- 4.590)
> >     Average time per event 2.255 usec
> >   Number of synthesis threads: 6
> >     Average synthesis took: 32309.900 usec (+- 472.225 usec)
> >     Average num. events: 14004.000 (+- 0.000)
> >     Average time per event 2.307 usec
> >   Number of synthesis threads: 7
> >     Average synthesis took: 31400.100 usec (+- 206.261 usec)
> >     Average num. events: 14004.800 (+- 0.800)
> >     Average time per event 2.242 usec
> >   Number of synthesis threads: 8
> >     Average synthesis took: 31601.400 usec (+- 303.350 usec)
> >     Average num. events: 14005.700 (+- 1.700)
> >     Average time per event 2.256 usec
> >
> > I also double-checked (using strace) that it does what it is supposed
> > to do, and it seems like everything checks out. Here's text-based
> > strace log:
> >
> > openat(AT_FDCWD, "/proc/35876/task/35876/maps", O_RDONLY) = 3
> > read(3, "00400000-0040c000 r--p 00000000 "..., 8192) = 3997
> > read(3, "7f519d4d3000-7f519d516000 r--p 0"..., 8192) = 4025
> > read(3, "7f519dc3d000-7f519dc44000 r-xp 0"..., 8192) = 4048
> > read(3, "7f519dd2d000-7f519dd2f000 r--p 0"..., 8192) = 4017
> > read(3, "7f519dff6000-7f519dff8000 r--p 0"..., 8192) = 2744
> > read(3, "", 8192)                       = 0
> > close(3)                                = 0
> >
> >
> > BTW, note how the kernel doesn't serve more than 4KB of data, even
> > though perf provides 8KB buffer (that's to Greg's question about
> > optimizing using bigger buffers, I suspect without seq_file changes,
> > it won't work).
> >
> > And here's an abbreviated log for ioctl version, it has lots more (but
> > much faster) ioctl() syscalls, given it dumps everything:
> >
> > openat(AT_FDCWD, "/proc/36380/task/36380/maps", O_RDONLY) = 3
> > ioctl(3, _IOC(_IOC_READ|_IOC_WRITE, 0x9f, 0x1, 0x60), 0x7fff6b603d50) = 0
> > ioctl(3, _IOC(_IOC_READ|_IOC_WRITE, 0x9f, 0x1, 0x60), 0x7fff6b603d50) = 0
> >
> >  ... 195 ioctl() calls in total ...
> >
> > ioctl(3, _IOC(_IOC_READ|_IOC_WRITE, 0x9f, 0x1, 0x60), 0x7fff6b603d50) = 0
> > ioctl(3, _IOC(_IOC_READ|_IOC_WRITE, 0x9f, 0x1, 0x60), 0x7fff6b603d50) = 0
> > ioctl(3, _IOC(_IOC_READ|_IOC_WRITE, 0x9f, 0x1, 0x60), 0x7fff6b603d50) = 0
> > ioctl(3, _IOC(_IOC_READ|_IOC_WRITE, 0x9f, 0x1, 0x60), 0x7fff6b603d50)
> > = -1 ENOENT (No such file or directory)
> > close(3)                                = 0
> >
> >
> > So, it's not the optimal usage of this API, and yet it's still better
> > (or at least not worse) than text-based API.

It's surprising that more ioctl is cheaper than less read and parse.

> >
>
> In another reply to Arnaldo on patch #2 I mentioned the idea of
> allowing to iterate only file-backed VMAs (as it seems like what
> symbolizers would only care about, but I might be wrong here). So I

Yep, I think it's enough to get file-backed VMAs only.


> tried that quickly, given it's a trivial addition to my code. See
> results below (it is slightly faster, but not much, because most of
> VMAs in that benchmark seem to be indeed file-backed anyways), just
> for completeness. I'm not sure if that would be useful/used by perf,
> so please let me know.

Thanks for doing this.  It'd be useful as it provides better synthesizing
performance.  The startup latency of perf record is a problem, I need
to take a look if it can be improved more.

Thanks,
Namhyung


>
> As I mentioned above, it's not radically faster in this perf
> benchmark, because we still request about 170 VMAs (vs ~195 if we
> iterate *all* of them), so not a big change. The ratio will vary
> depending on what the process is doing, of course. Anyways, just for
> completeness, I'm not sure if I have to add this "filter" to the
> actual implementation.
>
> # ./perf-filebacked bench internals synthesize
> # Running 'internals/synthesize' benchmark:
> Computing performance of single threaded perf event synthesis by
> synthesizing events on the perf process itself:
>   Average synthesis took: 65.759 usec (+- 0.063 usec)
>   Average num. events: 30.000 (+- 0.000)
>   Average time per event 2.192 usec
>   Average data synthesis took: 73.840 usec (+- 0.080 usec)
>   Average num. events: 153.000 (+- 0.000)
>   Average time per event 0.483 usec
>
> # ./perf-filebacked bench internals synthesize
> # Running 'internals/synthesize' benchmark:
> Computing performance of single threaded perf event synthesis by
> synthesizing events on the perf process itself:
>   Average synthesis took: 66.245 usec (+- 0.059 usec)
>   Average num. events: 30.000 (+- 0.000)
>   Average time per event 2.208 usec
>   Average data synthesis took: 70.627 usec (+- 0.074 usec)
>   Average num. events: 153.000 (+- 0.000)
>   Average time per event 0.462 usec
>
> # ./perf-filebacked bench internals synthesize --mt -M 8
> # Running 'internals/synthesize' benchmark:
> Computing performance of multi threaded perf event synthesis by
> synthesizing events on CPU 0:
>   Number of synthesis threads: 1
>     Average synthesis took: 33477.500 usec (+- 556.102 usec)
>     Average num. events: 10125.700 (+- 1.620)
>     Average time per event 3.306 usec
>   Number of synthesis threads: 2
>     Average synthesis took: 30473.700 usec (+- 221.933 usec)
>     Average num. events: 10127.000 (+- 0.000)
>     Average time per event 3.009 usec
>   Number of synthesis threads: 3
>     Average synthesis took: 29775.200 usec (+- 315.212 usec)
>     Average num. events: 10128.700 (+- 0.667)
>     Average time per event 2.940 usec
>   Number of synthesis threads: 4
>     Average synthesis took: 29477.100 usec (+- 621.258 usec)
>     Average num. events: 10129.000 (+- 0.000)
>     Average time per event 2.910 usec
>   Number of synthesis threads: 5
>     Average synthesis took: 29777.900 usec (+- 294.710 usec)
>     Average num. events: 10144.700 (+- 11.597)
>     Average time per event 2.935 usec
>   Number of synthesis threads: 6
>     Average synthesis took: 27774.700 usec (+- 357.569 usec)
>     Average num. events: 10158.500 (+- 14.710)
>     Average time per event 2.734 usec
>   Number of synthesis threads: 7
>     Average synthesis took: 27437.200 usec (+- 233.626 usec)
>     Average num. events: 10135.700 (+- 2.700)
>     Average time per event 2.707 usec
>   Number of synthesis threads: 8
>     Average synthesis took: 28784.600 usec (+- 477.630 usec)
>     Average num. events: 10133.000 (+- 0.000)
>     Average time per event 2.841 usec
>
> >   [0] https://github.com/anakryiko/linux/commit/0841fe675ed30f5605c5b228e18f5612ea253b35
> >
> > >
> > > Thanks,
> > > Ian
> > >
> > > > > Thanks,
> > > > > Ian
> > > > >
> > > > > >   [0] https://github.com/libbpf/blazesym/blob/ee9b48a80c0b4499118a1e8e5d901cddb2b33ab1/src/normalize/user.rs#L193
> > > > > >
> > > > > > > thanks,
> > > > > > >
> > > > > > > greg k-h
> > > > > >
>

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