Re: [HACKERS][PATCH] Applying PMDK to WAL operations for persistent memory

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От Robert Haas
Тема Re: [HACKERS][PATCH] Applying PMDK to WAL operations for persistent memory
Дата
Msg-id CA+TgmoZygQO3EC4mMdf-b=UuY3HZz6+-Y2w5_s9bLtH4NPw6Bg@mail.gmail.com
обсуждение исходный текст
Ответ на Re: [HACKERS][PATCH] Applying PMDK to WAL operations for persistent memory  (Yoshimi Ichiyanagi <ichiyanagi.yoshimi@lab.ntt.co.jp>)
Ответы Re: [HACKERS][PATCH] Applying PMDK to WAL operations for persistent memory
Список pgsql-hackers
On Fri, Jan 19, 2018 at 4:56 AM, Yoshimi Ichiyanagi
<ichiyanagi.yoshimi@lab.ntt.co.jp> wrote:
>>Was the only non-default configuration setting wal_sync_method?  i.e.
>>synchronous_commit=on?  No change to max_wal_size?
> No, I used the following parameter in postgresql.conf to prevent
> checkpoints from occurring while running the tests.

I think that you really need to include the checkpoints in the tests.
I would suggest setting max_wal_size and/or checkpoint_timeout so that
you reliably complete 2 checkpoints in a 30-minute test, and then do a
comparison on that basis.

> Do you know any good WAL I/O intensive benchmarks? DBT2?

pgbench is quite a WAL-intensive benchmark; it is much more
write-heavy than what most systems experience in real life, at least
in my experience.  Your comparison of DAX FS to DAX FS + PMDK is very
interesting, but in real life the bandwidth of DAX FS is already so
high -- and the latency so low -- that I think most real-world
workloads won't gain very much.  At least, that is my impression based
on internal testing EnterpriseDB did a few months back.  (Thanks to
Mithun and Kuntal for that work.)

That's not necessarily an argument against this patch, which by the
way I have not reviewed.  Even a 5% speedup on this kind of workload
is potentially worthwhile; everyone likes it when things go faster.
I'm just not convinced you can get very much more than that on a
realistic workload.  Of course, I might be wrong.

-- 
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company


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