here; autovac treats toast tables as just another table, with their
> own stats and their own freeze needs. If you're generating a lot of toast
> records that might make a difference.
>
I do not anticipate TOAST entering the picture. No single column or record
> 8KB or even approaching it. We have a few databases that (ab)use pg_toast
and I want to avoid those complications.
-Greg
On Wed, Sep 28, 2016 at 11:27 AM, Stephen Frost <sfr...@snowman.net> wrote:
> Greg,
>
> * Greg Spiegelberg (gspiegelb...@gmail.com) wrote:
> > Bigger buckets mean a wider possibility of response times. Some buckets
> > may contain 140k records and some 100X more.
>
dy allows for many database servers. 40 is okay,
100 isn't terrible but if it's thousands then operations might lynch me.
-Greg
On Tue, Sep 27, 2016 at 10:15 AM, Terry Schmitt <tschm...@schmittworks.com>
wrote:
>
>
> On Sun, Sep 25, 2016 at 7:50 PM, Greg Spiegelberg <gspiegelb...@gmail.com>
> wrote:
>
>> Hey all,
>>
>> Obviously everyone who's been in PostgreSQL or almost
On Tue, Sep 27, 2016 at 9:42 AM, Mike Sofen <mso...@runbox.com> wrote:
> *From:* Mike Sofen *Sent:* Tuesday, September 27, 2016 8:10 AM
>
> *From:* Greg Spiegelberg *Sent:* Monday, September 26, 2016 7:25 AM
> I've gotten more responses than anticipated and have answere
On Tue, Sep 27, 2016 at 8:30 AM, Craig James <cja...@emolecules.com> wrote:
> On Sun, Sep 25, 2016 at 7:50 PM, Greg Spiegelberg <gspiegelb...@gmail.com>
> wrote:
>
>> Hey all,
>>
>> Obviously everyone who's been in PostgreSQL or almost any RDBMS for
On Sun, Sep 25, 2016 at 8:50 PM, Greg Spiegelberg <gspiegelb...@gmail.com>
wrote:
> Hey all,
>
> Obviously everyone who's been in PostgreSQL or almost any RDBMS for a time
> has said not to have millions of tables. I too have long believed it until
> recently.
>
&
10M rows in a table is not a problem for the query
> times you are referring to. So instead of millions of tables, unless I'm
> doing my math wrong, you probably only need thousands of tables.
>
>
>
> On Mon, Sep 26, 2016 at 5:43 AM, Stuart Bishop <stu...@stuartbishop.net>
&
larger group and the option to
reduce the 8M tables to ~4000 is an option however the problem then becomes
rather than having an anticipated 140k records/table to 140M to 500M
records/table. I'm concerned read access times will go out the window. It
is on the docket to test.
-Greg
options. :)
-Greg
On Mon, Sep 26, 2016 at 6:54 AM, Yves Dorfsman <y...@zioup.com> wrote:
> Something that is not talked about at all in this thread is caching. A
> bunch
> of memcache servers in front of the DB should be able to help with the 30ms
> constraint (doesn't have to
On Mon, Sep 26, 2016 at 3:43 AM, Stuart Bishop <stu...@stuartbishop.net>
wrote:
> On 26 September 2016 at 11:19, Greg Spiegelberg <gspiegelb...@gmail.com>
> wrote:
>
>> I did look at PostgresXL and CitusDB. Both are admirable however neither
>> could support
Following list etiquette response inline ;)
On Mon, Sep 26, 2016 at 2:28 AM, Álvaro Hernández Tortosa <a...@8kdata.com>
wrote:
>
>
> On 26/09/16 05:50, Greg Spiegelberg wrote:
>
>> Hey all,
>>
>> Obviously everyone who's been in PostgreSQL or almost any RDBM
lake you must accept the possibility of scanning the
entire lake. However, if all fish were in barrels where each barrel had a
particular kind of fish of specific length, size, color then the problem
is far simpler.
-Greg
On Sun, Sep 25, 2016 at 9:04 PM, julyanto SUTANDANG <julya...@equni
chema and it's intended use is complete. You'll have to trust me on
that one.
-Greg
On Sun, Sep 25, 2016 at 9:23 PM, Mike Sofen <mso...@runbox.com> wrote:
> *From:* Greg Spiegelberg *Sent:* Sunday, September 25, 2016 7:50 PM
> … Over the weekend, I created 8M tables with 1
inheritance (I am abusing
it in my test case) are no-no's. A system or database crash could take
potentially hours to days to recover. There are likely other issues ahead.
You may wonder, "why is Greg attempting such a thing?" I looked at
DynamoDB, BigTable, and Cassandra. I like Greenplum
and nobody else has complained, it's
probably not too important as far as day to day pgbouncer use. :)
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that
algorithm is needed at all.
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filter then do a second pass (possibly for the same
sample?) keeping counts only for values that the counting bloom filter
said hashed to the most common hash values. That might not be exactly
the most common values but should be at least a representative sample
of the most common values.
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greg
the entire table
-- and it still had pretty poor results. All the research I could find
went into how to analyze the whole table while using a reasonable
amount of scratch space and how to do it incrementally.
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To make
surprisingly far before they run into problems.
That may not be the best thing for users in the long run but that's a
problem that should be solved by better development tools to help
users identify scalability problems early.
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On 19 Sep 2014 19:40, Josh Berkus j...@agliodbs.com wrote:
On 09/19/2014 10:15 AM, Merlin Moncure wrote:
On Wed, Sep 17, 2014 at 7:11 PM, Josh Berkus j...@agliodbs.com wrote:
This is the core issue with abort-early plans; they depend on our
statistics being extremely accurate, which we
Two solutions come to mind. First possibility is table partitioning on the
column you're sorting. Second, depending on your application, is to use a
cursor. Cursor won't help with web applications however a stateful
application could benefit.
HTH
-Greg
On Wed, Aug 28, 2013 at 2:39 PM, fburg
. You will also
need to setup the postgresql.conf and pg_hba.conf on the system to allow
remote connections, the same way as this is normally done with Postgres.
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minutes:
-[ RECORD 1 ]---+---
alloc_mbps | 246.019686474412
checkpoint_mbps | 0.0621780475463596
clean_mbps | 2.38631188442859
backend_mbps| 0.777490109599045
write_mbps | 3.22598004157399
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On 6/20/13 4:32 PM, Josh Berkus wrote:
First, cc'ing Greg Smith to see if he can address this with the Fusion
folks so that they stop giving out a bad guide.
I'm working on a completely replacement of that guide, one that actually
gives out a full set of advice. Right now I'm between
Hey,
We have a search method that depending on search params will join 3-5 tables,
craft the joins and where section. Only problem is, this is done in rather
horrible java code. So using pgtap for tests is not feasible.
I want to move the database complexity back to database, almost writing the
you're seeing
there. It doesn't actually use any significant amount of memory on its own.
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, I'll be kicking off a brand new round of SSD
tests on a 24 core server here soon. All those will appear on my blog.
The 320 drive is returning as the bang for buck champ, along with a DC
S3700 and a Seagate 1TB Hybrid drive with NAND durable write cache.
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.
-Does this happen on every test run? Is it at the same time?
-You can run top -bc to dump snapshots of what the system is doing
every second. With some work you can then figure out what was actually
happening during the two seconds around when the throughput dropped.
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will look like that is
optimistic, and it sets unreasonable expectations.
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To make
data before I feel comfortable saying exactly what the worst case looks
like.
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is lucky to hit 10K TPS though, so it can't compete against
what a PCI-E card like the FusionIO drives are capable of.
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On 5/22/13 3:06 PM, Joshua D. Drake wrote:
Greg, can you elaborate on the SSD + Xlog issue? What type of burn
through are we talking about?
You're burning through flash cells at a multiple of the total WAL write
volume. The system I gave iostat snapshots from upthread (with the
Intel 710
a 710 since the
announcement. However, hit the street is still an issue. No one has
been able to keep DC S3700 drives in stock very well yet. It took me
three tries through Newegg before my S3700 drive actually shipped.
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.
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.
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written, either. Several of the SMART attributes are labeled
Vendor-specific, but you'll need to guess what they track and read the
associated values using third-party software.
That's a serious problem for most business use of this sort of drive.
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S3700 was $250. That's still not two orders of
magnitude faster though.
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;
COMMIT;
HTH.
-Greg
On Fri, May 17, 2013 at 5:26 AM, Rob Emery re-pg...@codeweavers.net wrote:
Hi All,
We've got 3 quite large tables that due to an unexpected surge in
usage (!) have grown to about 10GB each, with 72, 32 and 31 million
rows in. I've been tasked with cleaning out about
.
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on in the background.
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to disk.
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the last base backup happened.
That can easily result in a week of downtime if you're only shipping
backups once per month, for example.
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and on line_items ?
What are the stats settings for these tables ?
HTH,
Greg WIlliamson
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Joe --
From: Joe Van Dyk j...@tanga.com
To: Greg Williamson gwilliamso...@yahoo.com
Cc: pgsql-performance@postgresql.org pgsql-performance@postgresql.org
Sent: Friday, April 5, 2013 7:56 PM
Subject: Re: [PERFORM] slow joins?
On Fri, Apr 5, 2013 at 6:54 PM
On 13 Mar 2013, at 15:33, John Lister john.lis...@kickstone.com wrote:
On 12/03/2013 21:41, Gregg Jaskiewicz wrote:
Whilst on the hardware subject, someone mentioned throwing ssd into the mix.
I.e. combining spinning HDs with SSD, apparently some raid cards can use
small-ish (80GB+) SSDs
8.4 only has a little over a year before it won't get bug fixes
anymore. Also, your server would really appreciate the performance
gains added to 9.2. If that's a bit too leading edge for you, I don't
recommend deploying at version below 9.1 anymore.
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be, 2ndQuadrant
does offer a hardware benchmarking service to do that sort of thing:
http://www.2ndquadrant.com/en/hardware-benchmarking/ I think we're even
generating those reports in German now.
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what they thought they were buying. The potential
downside of HT isn't so big that its worth opening that can of worms,
unless you've run real application level tests to prove it hurts.
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there really is no
reason to consider running pgbench on a system with a smaller scale than
that. I normally get a rough idea of things by running with scales 100,
250, 500, 1000, 2000.
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queries a second to the readonly
boxes, about the same to a beefier read / write master.
This is a slightly old pgbouncer at that ... used is a fairly basic mode.
Greg Williamson
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that are bigger than 1 hour
-- too many partitions doesn't help.
Greg Williamson
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of the siblings was one of the challenges I kept butting into
then. Making the GUC settings even more complicated for this doesn't
seem a productive step forward for the average user.
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runs will give
you an idea if write cache filling is actually an issue here. If that
number just keeps going up and speeds keep on dropping, that's at least
one cause here. This could easily be both that and an autovacuum
related too though.
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Thanks for this description--we have index bloat problems on a massively active
(but small) database.This may help shed light on our problems.
Sorry for top-posting--challenged email reader.
Greg W.
From: Jeff Janes jeff.ja...@gmail.com
To: Strahinja
Midge --
Sorry for top-quoting -- challenged mail.
Perhaps a difference in the stats estimates -- default_statistics_target ?
Can you show us a diff between the postgres config files for each instance ?
Maybe something there ...
Greg Williamson
From: Midge
? to protect databases, and
the standby server for that doesn't need to be an expensive system.
That said, there is no reason to set things up so that they only work
with that Intel RAID controller, given that it's not a very good piece
of hardware anyway.
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, where the memory it needs is at, and whether the
server wants to reclaim memory (and just what that means its own
complicated topic) as part of that.
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recommended.
-Greg
page count.
Luck.
-Greg
in.
Anyway, guessing at causes here is premature speculation. When there's
some code for the test kit published, at that point discussing the
particulars of why it's not running well will get interesting.
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? and how can we
get them sponsored to focus on it? I can tell from your comments yet
what role(s) in that process VMWare wants to take on internally, and
which it's looking for help with. The job of convincing people it's a
useful feature isn't necessary--we know that's true.
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, their TPS numbers are useless without a contest of how big each
transaction is, and we don't know. I can take MemSQL seriously when
there's a press release describing how to replicate their benchmark
independently. Then it's useful to look at the absolute number.
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.
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even matter. Or that the bottleneck is
somewhere else entirely.
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To make changes
that are done more efficiently in terms of
flash longevity (710). You can't get both at the same time. The 710
may ultimately throttle its speed back to meet lifetime specifications
as the drive fills, it's really hard to benchmark the differences
between the two series.
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On Fri, May 25, 2012 at 9:04 AM, Craig James cja...@emolecules.com wrote:
On Fri, May 25, 2012 at 4:58 AM, Greg Spiegelberg gspiegelb...@gmail.com
wrote:
On Sun, May 13, 2012 at 10:01 AM, Craig James cja...@emolecules.com
wrote:
On Sun, May 13, 2012 at 1:12 AM, Віталій Тимчишин tiv
fsync = off ;)
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can prepare the data ahead of time as it changes via a
trigger or client-side code then your problem will go away pretty quickly.
-Greg
, separating pg_xlog, etc.
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for the indexes
for the OLTP but we ran out of drives to create a RAID Group D and the
above configuration works well enough.
Before going with RAID 5, please review http://www.baarf.com/.
-Greg
but with the LOCK it should be safe.
This transaction took perhaps 30 minutes and removed 100k rows and once
the table was VACUUM'd afterward it freed up close to 20 GB on the file
system.
HTH
-Greg
On Thu, Feb 23, 2012 at 11:11 AM, Andy Colson a...@squeakycode.net wrote:
On 2/23/2012 12:05 PM, Shaun Thomas wrote:
On 02/23/2012 11:56 AM, Greg Spiegelberg wrote:
I know there are perils in using ctid but with the LOCK it should be
safe. This transaction took perhaps 30 minutes
decrement rpc slowly and find out at one points it changes,
which would be more interesting than testing arbitrary numbers.
Would lead to some really sweet graphs as well. :)
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http
acceleration here and
b) on Solaris. You won't find a compelling performance improvement
listed at
https://ext4.wiki.kernel.org/articles/c/l/a/Clarifying_Direct_IO%27s_Semantics_fd79.html
and Linux has generally ignored direct I/O as something important to
optimize for.
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archive
To make sure the difference wasn't some variation on gets slower after
each run. pgbench suffers a lot from problems in that class.
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pg_locks for this 12634 shows all granted ones, nothing exciting there.
I asked how well this executes with enable_nestloop turned off, hoping
to see that next.
This all seems odd, and I get interested and concerned when that start
showing up specifically on newer hardware.
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several of them.
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Looks good to me. I built PG with this change, no kernel warnings after
~10 minutes of running. I'll continue to monitor but I think this fixes
the syndrome. Thanks Tom.
-Greg
On Fri, 18 Nov 2011, Tom Lane wrote:
Claudio Freire klaussfre...@gmail.com writes:
On Thu, Nov 17, 2011 at 10:07
as you'd like though.
http://www.2ndquadrant.com/en/talks/ has some updated material about
things discovered since the book was published. The Bottom-Up Database
Benchmarking there shows the tests I'm running nowadays, which have
evolved a bit in the last year.
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on that
program's page is to help people navigate this whole maze, and have some
data points to set expectations against. See
https://github.com/gregs1104/stream-scaling for the code and the samples.
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, and the extra floating point handling may affect some other
process(es).
-Greg
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changes. In just about every other way but commit
performance, ext4 is faster than most other filesystems.
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of their servers if I try
to make that problem bad, you're only seeing the middle range of latency
issues so far.
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to see how it's doing soon, just haven't had
time/requests for it.
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To make
in the section that talks about parameters to configure; there
really should be.
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To make
as well set it to a large number, say 128, and let checkpoints
get driven by time instead. The existing limit isn't working
effectively anyway, and having more segments lets the checkpoint
spreading code work more evenly.
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On 19 Oct 2011, at 17:51, Anibal David Acosta wrote:
For example:
Table A
-id (PK)
-name
Table B
-table_a_id (PK, FK)
-address
When I do an insert on table B, the database check if value for column
“table_a_id” exists in table A
But, if I do an update of column “address” of
. There are plenty of times that the reason
behind why isn't it using my index? is the index is too fat to
navigate efficiently, because the actual number of blocks involved is
factored into the cost computations.
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with this
unusual vmstat output.
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enough that it's hard to innovate in this area within
Postgres.
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To make
this earlier this year, and that
was as much documentation as I could justify at the time. If there's a
user-visible behavior changes here, that's the point where an update to
the manual would be in order.
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that in the position you're in now though.
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be useful.
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Greg Smith 2ndQuadrant USg...@2ndquadrant.com Baltimore, MD
PostgreSQL Training, Services, and 24x7 Support www.2ndQuadrant.us
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. The advantage to making them happen less often is that
you get less total writes. People need to be careful about going a long
*time* between checkpoints. But there's very few cases where you need
to worry about the segment count going too high before another one is
triggered.
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Greg
rough to use.
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Greg Smith 2ndQuadrant USg...@2ndquadrant.com Baltimore, MD
PostgreSQL Training, Services, and 24x7 Support www.2ndQuadrant.us
attachment: array-vs-ssd.png
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across someone yet who wants to fund that size of project
for this purpose yet.
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Greg Smith 2ndQuadrant USg...@2ndquadrant.com Baltimore, MD
PostgreSQL Training, Services, and 24x7 Support www.2ndQuadrant.us
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can be useful
for determining if bloat is likely increasing or decreasing--which is
the purpose of that query. The value returned is a rough estimate, and
should not be considered useful as any sort of absolute measurement.
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Greg Smith 2ndQuadrant USg...@2ndquadrant.com Baltimore, MD
that. A multi-gigabyte table can
easily be unavailable for several hours if you execute VACUUM FULL
against it. CLUSTER is almost always faster.
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Greg Smith 2ndQuadrant USg...@2ndquadrant.com Baltimore, MD
PostgreSQL Training, Services, and 24x7 Support www.2ndQuadrant.us
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can't figure out if you're
running into a basic error here, where constraint exclusion just isn't
working at all, or if you are only having this problem because the query
is too complicated. Figuring that out will narrow the potential solutions.
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Greg Smith 2ndQuadrant USg
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