Re: [PoC] Non-volatile WAL buffer

From: Tomas Vondra <tomas(dot)vondra(at)enterprisedb(dot)com>
To: Heikki Linnakangas <hlinnaka(at)iki(dot)fi>, "tsunakawa(dot)takay(at)fujitsu(dot)com" <tsunakawa(dot)takay(at)fujitsu(dot)com>, Takashi Menjo <takashi(dot)menjo(at)gmail(dot)com>
Cc: Takashi Menjo <takashi(dot)menjou(dot)vg(at)hco(dot)ntt(dot)co(dot)jp>, "Deng, Gang" <gang(dot)deng(at)intel(dot)com>, "pgsql-hackers(at)postgresql(dot)org" <pgsql-hackers(at)postgresql(dot)org>
Subject: Re: [PoC] Non-volatile WAL buffer
Date: 2020-11-26 21:19:56
Message-ID: 256f6556-b517-e81e-0b5d-df60b2fcbdef@enterprisedb.com
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On 11/26/20 9:59 PM, Heikki Linnakangas wrote:
> On 26/11/2020 21:27, Tomas Vondra wrote:
>> Hi,
>>
>> Here's the "simple patch" that I'm currently experimenting with. It
>> essentially replaces open/close/write/fsync with pmem calls
>> (map/unmap/memcpy/persist variants), and it's by no means committable.
>> But it works well enough for experiments / measurements, etc.
>>
>> The numbers (5-minute pgbench runs on scale 500) look like this:
>>
>>           master/btt    master/dax           ntt        simple
>>     -----------------------------------------------------------
>>       1         5469          7402          7977          6746
>>      16        48222         80869        107025         82343
>>      32        73974        158189        214718        158348
>>      64        85921        154540        225715        164248
>>      96       150602        221159        237008        217253
>>
>> A chart illustrating these results is attached. The four columns are
>> showing unpatched master with WAL on a pmem device, in BTT or DAX modes,
>> "ntt" is the patch submitted to this thread, and "simple" is the patch
>> I've hacked together.
>>
>> As expected, the BTT case performs poorly (compared to the rest).
>>
>> The "master/dax" and "simple" perform about the same. There are some
>> differences, but those may be attributed to noise. The NTT patch does
>> outperform these cases by ~20-40% in some cases.
>>
>> The question is why. I recall suggestions this is due to page faults
>> when writing data into the WAL, but I did experiment with various
>> settings that I think should prevent that (e.g. disabling WAL reuse
>> and/or disabling zeroing the segments) but that made no measurable
>> difference.
>
> The page faults are only a problem when mmap() is used *without* DAX.
>
> Takashi tried a patch earlier to mmap() WAL segments and insert WAL to
> them directly. See 0002-Use-WAL-segments-as-WAL-buffers.patch at
> https://www.postgresql.org/message-id/000001d5dff4%24995ed180%24cc1c7480%24%40hco.ntt.co.jp_1.
> Could you test that patch too, please? Using your nomenclature, that
> patch skips wal_buffers and does:
>
>   clients -> wal segments (PMEM DAX)
>
> He got good results with that with DAX, but otherwise it performed
> worse. And then we discussed why that might be, and the page fault
> hypothesis was brought up.
>

D'oh, I haven't noticed there's a patch doing that. This thread has so
many different patches - which is good, but a bit confusing.

> I think 0002-Use-WAL-segments-as-WAL-buffers.patch is the most promising
> approach here. But because it's slower without DAX, we need to keep the
> current code for non-DAX systems. Unfortunately it means that we need to
> maintain both implementations, selectable with a GUC or some DAX
> detection magic. The question then is whether the code complexity is
> worth the performance gin on DAX-enabled systems.
>

Sure, I can give it a spin. The question is whether it applies to
current master, or whether some sort of rebase is needed. I'll try.

> Andres was not excited about mmapping the WAL segments because of
> performance reasons. I'm not sure how much of his critique applies if we
> keep supporting both methods and only use mmap() if so configured.
>

Yeah. I don't think we can just discard the current approach, there are
far too many OS variants that even if Linux is happy one of the other
critters won't be.

regards

--
Tomas Vondra
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company

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