Re: [HACKERS] Speed up Clog Access by increasing CLOG buffers

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От Robert Haas
Тема Re: [HACKERS] Speed up Clog Access by increasing CLOG buffers
Дата
Msg-id CA+TgmoYsGdXbfmT5-YCnP=RbSuKzw9WHErDB66F4vJ_nDYn+Gg@mail.gmail.com
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Ответ на Re: [HACKERS] Speed up Clog Access by increasing CLOG buffers  (Amit Kapila <amit.kapila16@gmail.com>)
Ответы Re: [HACKERS] Speed up Clog Access by increasing CLOG buffers  (Amit Kapila <amit.kapila16@gmail.com>)
Список pgsql-hackers
On Tue, Jul 4, 2017 at 12:33 AM, Amit Kapila <amit.kapila16@gmail.com> wrote:
> I have updated the patch to support wait events and moved it to upcoming CF.

This patch doesn't apply any more, but I made it apply with a hammer
and then did a little benchmarking (scylla, EDB server, Intel Xeon
E5-2695 v3 @ 2.30GHz, 2 sockets, 14 cores/socket, 2 threads/core).
The results were not impressive.  There's basically no clog contention
to remove, so the patch just doesn't really do anything.  For example,
here's a wait event profile with master and using Ashutosh's test
script with 5 savepoints:
     1  Lock            | tuple     2  IO              | SLRUSync     5  LWLock          | wal_insert     5  LWLock
    | XidGenLock     9  IO              | DataFileRead    12  LWLock          | lock_manager    16  IO              |
SLRURead   20  LWLock          | CLogControlLock    97  LWLock          | buffer_content   216  Lock            |
transactionid  237  LWLock          | ProcArrayLock  1238  IPC             | ProcArrayGroupUpdate  2266  Client
| ClientRead
 

This is just a 5-minute test; maybe things would change if we ran it
for longer, but if only 0.5% of the samples are blocked on
CLogControlLock without the patch, obviously the patch can't help
much.  I did some other experiments too, but I won't bother
summarizing the results here because they're basically boring.  I
guess I should have used a bigger machine.

Given that we've changed the approach here somewhat, I think we need
to validate that we're still seeing a substantial reduction in
CLogControlLock contention on big machines.

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



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