Re: limiting hint bit I/O - Mailing list pgsql-hackers
From | Cédric Villemain |
---|---|
Subject | Re: limiting hint bit I/O |
Date | |
Msg-id | AANLkTimbi6BLjVbDp5NMkfEEGb7AYBMYfoh9NBFipzj1@mail.gmail.com Whole thread Raw |
In response to | Re: limiting hint bit I/O (Robert Haas <robertmhaas@gmail.com>) |
Responses |
Re: limiting hint bit I/O
|
List | pgsql-hackers |
2011/2/5 Robert Haas <robertmhaas@gmail.com>: > On Sat, Feb 5, 2011 at 10:37 AM, Cédric Villemain > <cedric.villemain.debian@gmail.com> wrote: >> Please update the commitfest with the accurate patch, there is only >> the old immature v1 of the patch in it. >> I was about reviewing it... >> >> https://commitfest.postgresql.org/action/patch_view?id=500 > > Woops, sorry about that. Here's an updated version, which I will also > add to the CommitFest application. > > The need for this patch has been somewhat ameliorated by the fsync > queue compaction patch. I tested with: > > create table s as select g, > random()::text||random()::text||random()::text||random()::text from > generate_series(1,1000000) g; > checkpoint; > > The table was large enough not to fit in shared_buffers. Then, repeatedly: > > select sum(1) from s; > > At the time I first posted this patch, running against git master, the > first run took about 1600 ms vs. ~207-216 ms for subsequent runs. But > that was actually running up against the fsync queue problem. > Retesting today, the first run took 360 ms, and subsequent runs took > 197-206 ms. I doubt that the difference in the steady-state is > significant, since the tests were done on different days and not > controlled all that carefully, but clearly the response time spike for > the first scan is far lower than previously. Setting the log level to > DEBUG1 revealed that the first scan did two fsync queue compactions. > > The patch still does help to smooth things out, though. Here are the > times for one series of selects, with the patch applied, after setting > up as described above: > > 257.108 > 259.245 > 249.181 > 245.896 > 250.161 > 241.559 > 240.538 > 241.091 > 232.727 > 232.779 > 232.543 > 226.265 > 225.029 > 222.015 > 217.106 > 216.426 > 217.724 > 210.604 > 209.630 > 203.507 > 197.521 > 204.448 > 196.809 > > Without the patch, as seen above, the first run is about ~80% slower. > With the patch applied, the first run is about 25% slower than the > steady state, and subsequent scans decline steadily from there. Runs > 21 and following flush no further data and run at full speed. These > numbers aren't representative of all real-world scenarios, though. > On a system with many concurrent clients, CLOG contention might be an > issue; on the flip side, if this table were larger than RAM (not just > larger than shared_buffers) the decrease in write traffic as we scan > through the table might actually be a more significant benefit than it > is here, where it's mostly a question of kernel time; the I/O system > isn't actually taxed. So I think this probably needs more testing > before we decide whether or not it's a good idea. I *may* have an opportunity to test that in a real world application where this hint bit was an issue. > > I adopted a few suggestions made previously in this version of the > patch. Tom Lane recommended not messing with BM_JUST_DIRTY and > leaving that for another day. yes, good. > I did that. Also, per my previous > musings, I've adjusted this version so that vacuum behaves differently > when dirtying pages rather than when flushing them. In versions 1 and > 2, vacuum would always write pages that were dirty-only-for-hint-bits > when allocating a new buffer; in this version the buffer allocation > logic is the same for vacuum, but it marks pages dirty even when only > hint bits have changed. The result is that VACUUM followed by > CHECKPOINT is enough to make sure all hint bits are set on disk, just > as is the case today. for now it looks better to reduce this impact, yes.. Keeping the logic from v1 or v2 imply vacuum freeze to 'fix' the hint bit, right ? -- Cédric Villemain 2ndQuadrant http://2ndQuadrant.fr/ PostgreSQL : Expertise, Formation et Support
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