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Re: Waiting on ExclusiveLock on extension

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On 4/19/15 4:24 AM, Andomar wrote:
To put the top question first:

How can table extension locks explain a a massive spike in CPU usage?

I can imagine 400 connections waiting on disk I/O, but then, wouldn't
they all be sleeping?

Not necessarily. Spinlocks don't put the process to sleep, but they're also supposed to be very short lived.

 > Ok, that's a MAJOR hint, because relation 1249 is a system catalog;
 > namely pg_attribute. So I think what's happening here is that your
 > catalog has become horrifically bloated. I'm 99% certain that VACUUM ALL
 > will not vacuum the catalog tables.
 >
 > Do you by chance have autovacuum turned off?
 >
 > A manual VACUUM VERBOSE pg_attribute might provide some immediate
relief.
 >
Autovacuum is turned on.  In addition, we do a manual VACUUM ALL at
night.  VACUUM VERBOSE pg_attribute ran in 0 seconds and processed a few
hundred rows.

 > Are you using a connection pool? Establishing 50 new database
 > connections per second won't do anything to help performance...
 >
As I understand it, a pool reduces network and CPU load.  We have never
seen any issues with those.  So the extra monitoring and maintenance
cost of a pool seems hard to justify.

Well, it sounds like you are CPU bound here... :P I don't know if this is related or not, but it wouldn't hurt. If you install pg_bouncer on the database server itself (which it's designed for) it shouldn't add much maintenance cost.

 > I think what that means is that there was suddenly a big spike in memory
 > demand at the OS level, so now the OS is frantically dumping cached
 > pages. That in itself won't explain this, but it may be a clue.
 >
We monitor memory usage with Cacti.  It's a dedicated server and nearly
all memory is used as cache.  If a script runs and demands memory, that
becomes visible as cache is cleared out.  There is no change in the
amount of memory used as cache around the outage.

 > In order to extend a relation we need to ask the filesystem to actually
 > extend the file (which presumably means at least writing some metadata
 > to disk), and then I think we create a WAL record. Creating the WAL
 > record won't by itself write to disk... *unless* the wal_buffers are all
 > already full.
 >
I have a question here, we have "synchronous_commit = off".  So when
Postgres extends a page, would it do that just in memory, or does part
of the extend operation require synchronous I/O?

Turning that off doesn't mean there will never be an fsync, it just means that we don't wait for one before returning from COMMIT. I don't think relation extension itself requires a fsnyc, but see below.

 > So if you also see an I/O spike when this happens you could well
 > just be starved from the I/O system (though obviously it'd be
 > better if we handled that situation more elegantly than this).

The SAR data shows no increase in pgpgin/s and pgpgout/s, which if I
understand it correctly, means that there is no I/O spike.  There is
however an enormous increase in CPU usage.

I'm not familiar enough with SAR to know if that's correct or not; iostat would be a good way to confirm it.

 > I do suspect your pgfree/s is very high though; putting 200k pages/s on
 > the free list seems like something's broken.
 >
The system has constant and considerable load of small writes.  The
pg_activity tool shows 300 IOPs sustained (it claims max IPs above
11000.)  Postgres 9.3 had a comparable pgfree/s.

That leads me to a new theory... you may be running into problems finding free buffers in the buffer pool. We need to have a buffer before we can extend a relation, and if you have a lot of pressure on shared buffers it can take quite a bit of CPU to find one. To make matters worse, that search for a buffer takes place while holding the extension lock.

Would you be able to get a stack trace of a backend that's holding an extension lock? Or maybe perf would provide some insight.

Would you know a good resource to get more knowledgeable about pgfree,
pgpin, pgsteal?

Unfortunately I'm not strong on the system tools.
--
Jim Nasby, Data Architect, Blue Treble Consulting
Data in Trouble? Get it in Treble! http://BlueTreble.com


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