Re: [HACKERS] Using Small Size SSDs to improve performance?

2010-08-04 Thread Merlin Moncure
On Wed, Aug 4, 2010 at 5:09 PM, Nilson nilson.bra...@gmail.com wrote:
 The prices of large capacity Solid State Disks (SLCs of course) are still
 too high to most of us.

 But it´s already possible to find SSDs of small size (8 to 32 GB) today with
 affordable prices and good performance (0,1ms access time and at least
 150MB/s r/w transfer rate).

 So, would it possible to use these Small Size SSDs (S5Ds) as a buffer to
 improve postgreSQL's write performance?

 For now, I detected two opportunities:

 1) usage of a S5D to temporarily store the WAL log files until a deamon
 process copy them to the regular HD.

 2) usage of a S5D to store instructions to a make a checkpoint. Instead of
 write the dirty pages directly to database files, postgreSQL could dump to
 SSD the dirty pages and the instructions of how update the data files.
 Later, a deamon process would update the files following these instructions
 and erase the instruction files after that.  I guess that MVCC induces the
 spread of writes along the file area, requiring lots of seeks to find the
 correct disk block. So SSDs will produce a good performance in burst
 situation.

 I guess these ideas could improve the write performance significantly (3x to
 50x) in databases systems that perform writes with SYNC and have many write
 bursts or handle large (20MB+) BLOBs (many WAL segments and pages to write
 on checkpoint).

 Of course, postgreSQL should be patched to handle, not only with the new
 behaviours, but to handle a possible SSD full.

 One solution to (1) could be a fast/main volume scheme. In case of the fast
 volume full condition, postgreSQL should use the main volume.

 The (2) solution is more delicate because introduce a new type of file to
 hold data. But, if the gain worths, it should be examinated ...

 Well, that´s it.

This is offtopic for -hackers...better -general or -performance. In
fact, there is a long highly informative topic on SSDs going on right
now which you might be interested in reading.  The real short answer
to your question is that $/gb is not the only metric, and the current
situation with flash SSD is much more complex than it appears on the
surface (for example, they basically suck without write buffering).

merlin

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Re: [HACKERS] Using Small Size SSDs to improve performance?

2010-08-04 Thread Greg Smith

Nilson wrote:
1) usage of a S5D to temporarily store the WAL log files until a 
deamon process copy them to the regular HD.


The WAL is rarely as much of a bottleneck as people think it is.  
Because it's all sequential writes, so long as you put it onto a 
dedicated disk there's minimal advantage to be had using an SSD for it.  
Lots of small sequential writes is really not the place where SSD shines 
compared with regular disk.


2) usage of a S5D to store instructions to a make a checkpoint. 
Instead of write the dirty pages directly to database files, 
postgreSQL could dump to SSD the dirty pages and the instructions of 
how update the data files. Later, a deamon process would update the 
files following these instructions and erase the instruction files 
after that.


This is essentially what happens with the operating system cache:  it 
buffers writes into memory as the checkpoint does them, and then later 
does the actual I/O to write them to disk--hopefully before the sync 
call that pushes it out comes in.  There are plenty of problems with how 
that's done right now.  But I don't feel there's enough benefit to 
optimize specifically for SSD when a more general improvement could be 
done instead in that area instead.


I guess these ideas could improve the write performance significantly 
(3x to 50x) in databases systems that perform writes with SYNC and 
have many write bursts or handle large (20MB+) BLOBs (many WAL 
segments and pages to write on checkpoint).


That's optimistic.  Right now heavy write systems get a battery-backed 
cache in the RAID card that typically absorbs 256MB to 512MB worth of 
activity.  You really need to reference SSD acceleration against that as 
your reference.  If you do that, the SSD gains stop looking so big.  
Checkpoint writes right now go:


shared_buffers - OS cache - RAID BBWC - disk

And those two layers in the middle are already providing a significant 
speedup on burst workloads.  Ultimately, all the burst stuff has to make 
it onto regular disks eventually though, if you can't fit the whole 
thing on SSD, and then you're back to solving the non-SSD problem 
again.  That's the problem with these things that keeps them from being 
magic bullets; if you have a database large enough that you can't fit 
the working set in RAM nowadays, you probably can't fit whole thing on 
SSD either.


--
Greg Smith  2ndQuadrant US  Baltimore, MD
PostgreSQL Training, Services and Support
g...@2ndquadrant.com   www.2ndQuadrant.us


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Re: [HACKERS] Using Small Size SSDs to improve performance?

2010-08-04 Thread Josh Berkus

 And those two layers in the middle are already providing a significant
 speedup on burst workloads.  Ultimately, all the burst stuff has to make
 it onto regular disks eventually though, if you can't fit the whole
 thing on SSD, and then you're back to solving the non-SSD problem
 again.  That's the problem with these things that keeps them from being
 magic bullets; if you have a database large enough that you can't fit
 the working set in RAM nowadays, you probably can't fit whole thing on
 SSD either.

The only times we've seen real gains from using SSD's in production was
when we lavished money on a lot of them for data warehousing.  There the
speedup in both throughput and random seeks really boosted performance.
 In the other use cases I've tested, the only real advantage to SSDs was
keeping your form factor down.

I haven't been able to test things like putting a hot table on a
specific SSD.

-- 
  -- Josh Berkus
 PostgreSQL Experts Inc.
 http://www.pgexperts.com

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Re: [HACKERS] Using Small Size SSDs to improve performance?

2010-08-04 Thread Greg Smith

Josh Berkus wrote:

I haven't been able to test things like putting a hot table on a
specific SSD.
  


Putting a hot table or even better an index on them, where that relation 
fits on SSD but the whole database doesn't, can work well.  But it 
doesn't give the speedup levels people expect because hot stuff tends 
to already be in memory, too.  I've deflated multiple SSD will fix our 
problems! meetings with output from pg_buffercache, showing everything 
they were planning to put on there was already in the hottest part of 
database RAM:  shared_buffers.  Indexes of heavily written tables are 
the thing I've seen the most actual improvement on like this.


--
Greg Smith  2ndQuadrant US  Baltimore, MD
PostgreSQL Training, Services and Support
g...@2ndquadrant.com   www.2ndQuadrant.us


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Re: [HACKERS] Using Small Size SSDs to improve performance?

2010-08-04 Thread Robert Haas
On Wed, Aug 4, 2010 at 7:43 PM, Greg Smith g...@2ndquadrant.com wrote:
 2) usage of a S5D to store instructions to a make a checkpoint. Instead of
 write the dirty pages directly to database files, postgreSQL could dump to
 SSD the dirty pages and the instructions of how update the data files.
 Later, a deamon process would update the files following these instructions
 and erase the instruction files after that.

 This is essentially what happens with the operating system cache:  it
 buffers writes into memory as the checkpoint does them, and then later does
 the actual I/O to write them to disk--hopefully before the sync call that
 pushes it out comes in.  There are plenty of problems with how that's done
 right now.  But I don't feel there's enough benefit to optimize specifically
 for SSD when a more general improvement could be done instead in that area
 instead.

One of the tricky parts here is that we don't actually handle large
values of shared_buffers that well.  If I recall your previous posts
correctly, the benefit dries up at a level no higher than about 10GB.
We'd probably need to try to understand what underlies that effect
before thinking too hard about ways to effectively enlarge shared
buffers even more.

Another thought I had was whether there would be any benefit to
attempting to tune the buffer management algorithm to improve cache
locality.  In other words, if we don't really need all of
shared_buffers, maybe there would be some benefit in trying to use
only as much of it as we actually need; or maybe provide some
mechanism for individual backends to have a weak preference for
reusing the same pages that they've used before.  But maybe this
doesn't actually matter: even a L3 cache isn't big enough to hold a
significant percentage of a large shared_buffers setting, I think.

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

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