Re: [HACKERS] Moving relation extension locks out of heavyweight lock manager

Amit Kapila <amit.kapila16@gmail.com>

From: Amit Kapila <amit.kapila16@gmail.com>
To: Masahiko Sawada <sawada.mshk@gmail.com>
Cc: Robert Haas <robertmhaas@gmail.com>, Andres Freund <andres@anarazel.de>, Michael Paquier <michael@paquier.xyz>, Mithun Cy <mithun.cy@enterprisedb.com>, Tom Lane <tgl@sss.pgh.pa.us>, Thomas Munro <thomas.munro@enterprisedb.com>, PostgreSQL-development <pgsql-hackers@postgresql.org>
Date: 2020-02-03T11:03:22Z
Lists: pgsql-hackers

Commits

Same data as JSON: GET /api/v1/messages/:b64id/commits the thread's linked commits as JSON, with link sources. API reference →
  1. Allow page lock to conflict among parallel group members.

  2. Allow relation extension lock to conflict among parallel group members.

  3. Add assert to ensure that page locks don't participate in deadlock cycle.

  4. Assert that we don't acquire a heavyweight lock on another object after

  5. Fix unsafe usage of strerror(errno) within ereport().

On Tue, Jun 26, 2018 at 12:47 PM Masahiko Sawada <sawada.mshk@gmail.com> wrote:
>
> On Fri, Apr 27, 2018 at 4:25 AM, Robert Haas <robertmhaas@gmail.com> wrote:
> > On Thu, Apr 26, 2018 at 3:10 PM, Andres Freund <andres@anarazel.de> wrote:
> >>> I think the real question is whether the scenario is common enough to
> >>> worry about.  In practice, you'd have to be extremely unlucky to be
> >>> doing many bulk loads at the same time that all happened to hash to
> >>> the same bucket.
> >>
> >> With a bunch of parallel bulkloads into partitioned tables that really
> >> doesn't seem that unlikely?
> >
> > It increases the likelihood of collisions, but probably decreases the
> > number of cases where the contention gets really bad.
> >
> > For example, suppose each table has 100 partitions and you are
> > bulk-loading 10 of them at a time.  It's virtually certain that you
> > will have some collisions, but the amount of contention within each
> > bucket will remain fairly low because each backend spends only 1% of
> > its time in the bucket corresponding to any given partition.
> >
>
> I share another result of performance evaluation between current HEAD
> and current HEAD with v13 patch(N_RELEXTLOCK_ENTS = 1024).
>
> Type of table: normal table, unlogged table
> Number of child tables : 16, 64 (all tables are located on the same tablespace)
> Number of clients : 32
> Number of trials : 100
> Duration: 180 seconds for each trials
>
> The hardware spec of server is Intel Xeon 2.4GHz (HT 160cores), 256GB
> RAM, NVMe SSD 1.5TB.
> Each clients load 10kB random data across all partitioned tables.
>
> Here is the result.
>
>  childs |   type   | target  |  avg_tps   | diff with HEAD
> --------+----------+---------+------------+------------------
>      16 | normal   | HEAD    |   1643.833 |
>      16 | normal   | Patched |  1619.5404 |      0.985222
>      16 | unlogged | HEAD    |  9069.3543 |
>      16 | unlogged | Patched |  9368.0263 |      1.032932
>      64 | normal   | HEAD    |   1598.698 |
>      64 | normal   | Patched |  1587.5906 |      0.993052
>      64 | unlogged | HEAD    |  9629.7315 |
>      64 | unlogged | Patched | 10208.2196 |      1.060073
> (8 rows)
>
> For normal tables, loading tps decreased 1% ~ 2% with this patch
> whereas it increased 3% ~ 6% for unlogged tables. There were
> collisions at 0 ~ 5 relation extension lock slots between 2 relations
> in the 64 child tables case but it didn't seem to affect the tps.
>

AFAIU, this resembles the workload that Andres was worried about.   I
think we should once run this test in a different environment, but
considering this to be correct and repeatable, where do we go with
this patch especially when we know it improves many workloads [1] as
well.  We know that on a pathological case constructed by Mithun [2],
this causes regression as well.  I am not sure if the test done by
Mithun really mimics any real-world workload as he has tested by
making N_RELEXTLOCK_ENTS = 1 to hit the worst case.

Sawada-San, if you have a script or data for the test done by you,
then please share it so that others can also try to reproduce it.

[1] - https://www.postgresql.org/message-id/4c171ffe-e3ee-acc5-9066-a40d52bc5ae9%40postgrespro.ru
[2] - https://www.postgresql.org/message-id/CAD__Oug52j%3DDQMoP2b%3DVY7wZb0S9wMNu4irXOH3-ZjFkzWZPGg%40mail.gmail.com

-- 
With Regards,
Amit Kapila.
EnterpriseDB: http://www.enterprisedb.com