Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2008-01-03 Thread Robert Lor

Greg,

Gregory Stark wrote:

I don't think DTrace is overkill either. The programmatic interface is
undocumented (but I've gotten Sun people to admit it exists -- I just have to
reverse engineer it from the existing code samples) but should be more or less
exactly what we need.

  
You  probably know this already. There are existing commands that use 
the programmatic interface and would provide a good starting point. Here 
are a couple:


http://cvs.opensolaris.org/source/xref/onnv/onnv-gate/usr/src/cmd/lockstat/lockstat.c
http://cvs.opensolaris.org/source/xref/onnv/onnv-gate/usr/src/cmd/dtrace/dtrace.c

One of my colleagues is in the process of putting a tutorial together 
for how to do this, so if you decided to pursue this approach and need 
assistance, please let me know.


Regards,
Robert

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Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-18 Thread Gregory Stark
Decibel! [EMAIL PROTECTED] writes:

 Also, has anyone looked into adding a class of system calls that  would
 actually tell us if the kernel issued physical IO? I find it  hard to believe
 that other RDBMSes wouldn't like to have that info...

Yeah, I think that's called DTrace

-- 
  Gregory Stark
  EnterpriseDB  http://www.enterprisedb.com
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Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-18 Thread Gregory Stark

Decibel! [EMAIL PROTECTED] writes:

 When a read() call returns, surely the kernel knows whether it  actually 
 issued
 a physical read request to satisfy that. I don't see  any reason why you
 couldn't have a version of read() that returns  that information. I also 
 rather
 doubt that we're the only userland  software that would make use of that.

I'm told this exists on Windows for the async interface. But AFAIK it doesn't
on Unix. The visibility into things like this is what makes DTrace so
remarkable.

I think there aren't many userland software interested in this. The only two
cases I can think of are databases -- which use direct I/O partly because of
this issue -- and real-time software like multimedia software -- which use
aren't so much interested in measuring it as forcing things to be preloaded
with stuff like posix_fadvise() or mlock().

I don't think DTrace is overkill either. The programmatic interface is
undocumented (but I've gotten Sun people to admit it exists -- I just have to
reverse engineer it from the existing code samples) but should be more or less
exactly what we need.

But the lowest-common-denominator of just timing read() and seeing if it took
long enough to involve either a context switch or sleeping on physical i/o
should be a pretty close approximation. The case where it would be least
accurate is when most or all of the data is actually in the cache. Then even
with a low false-positive rate detecting cache misses it'll still dominate the
true near-zero rate of cache misses.

We could mitigate that somewhat by describing it in the plan as something like

... (... I/O fast=nnn slow=nnn)

instead of the more descriptive physical and logical

-- 
  Gregory Stark
  EnterpriseDB  http://www.enterprisedb.com
  Ask me about EnterpriseDB's 24x7 Postgres support!

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Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-17 Thread Decibel!

On Dec 14, 2007, at 11:10 PM, Neil Conway wrote:
But it occurred to me just now that the hardware instruction  
counter available
on just about every platform would be good enough for a heuristic  
guess at

whether the read(2) was cached.


I'm skeptical that this would be reliable enough to be very useful,
especially in the face of concurrent, unpredictable system activity  
on a

busy system. I agree that it would be useful information, though.
Perhaps a useful first step would be to teach EXPLAIN ANALYZE to  
report
the number of logical and physical I/Os from Postgres' perspective  
(i.e.

physical I/O just means we need to go to the kernel).



*watches hands wave*

If we assume that what we *really* want to see the difference of is a  
cache IO vs one that truly hits a platter, I don't see how you could  
come up with enough variation to account for that. Unless you're  
super lucky and the sector you need is just about to hit the head  
when you issue the request, you're going to have a delay measured in  
milliseconds. 1ms on a modern CPU is over 100,000 cycles. That's a  
lot of instructions...


Someone want to throw together some code that actually measures this?  
Maybe something that keeps a histogram of how many instructions take  
place per I/O request? If it turns out that counters do vary too much  
between CPUs, there might be ways that we can account for that.


Also, has anyone looked into adding a class of system calls that  
would actually tell us if the kernel issued physical IO? I find it  
hard to believe that other RDBMSes wouldn't like to have that info...

--
Decibel!, aka Jim C. Nasby, Database Architect  [EMAIL PROTECTED]
Give your computer some brain candy! www.distributed.net Team #1828




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Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-17 Thread Greg Smith

On Mon, 17 Dec 2007, Decibel! wrote:

Someone want to throw together some code that actually measures this? Maybe 
something that keeps a histogram of how many instructions take place per I/O 
request? If it turns out that counters do vary too much between CPUs, there 
might be ways that we can account for that.


I'd expect the easiest way to do a proof of concept here would be to use 
the Linux oprofile tool.  That's already abstracted away the differences 
in hardware counters and provides a relatively simple interface to collect 
the data without getting bogged down with implementation there.  Starting 
from scratch, going right to the hardware counters and building from 
there, is a big project--they've been hacking on oprofile for almost six 
years now and still aren't suggesting it's release quality yet.


--
* Greg Smith [EMAIL PROTECTED] http://www.gregsmith.com Baltimore, MD

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Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-17 Thread Trevor Talbot
On 12/17/07, Decibel! [EMAIL PROTECTED] wrote:

 Also, has anyone looked into adding a class of system calls that
 would actually tell us if the kernel issued physical IO? I find it
 hard to believe that other RDBMSes wouldn't like to have that info...

Non-blocking style interfaces can help here. On Windows, for instance,
a read returns data at the call site if it was satisfied by cache,
instead of invoking the asynchronous notification.

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Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-16 Thread Gokulakannan Somasundaram
On Dec 16, 2007 1:03 AM, Heikki Linnakangas [EMAIL PROTECTED] wrote:

 Gokulakannan Somasundaram wrote:
  I was going to say that I'm really only interested in physical I/O.
 Logical
  I/O which is satisfied by the kernel cache is only marginally
 interesting
  and
  buffer fetches from Postgres's shared buffer is entirely uninteresting
  from
  the point of view of trying to figure out what is slowing down a query.
 
  Ok the Physical I/Os are already visible, if you enable
 log_statement_stats.

 I think you missed the point. What log_statement_stats shows are not
 physical I/Os, they're read() system calls. Unfortunately there's no
 direct way to tell if a read() is satisfied from OS cache or not. Greg's
 suggestion was about how to do that.


Oh OK. Thanks for clarifying..

-- 
Thanks,
Gokul.
CertoSQL Project,
Allied Solution Group.
(www.alliedgroups.com)


Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-15 Thread Gregory Stark
Gokulakannan Somasundaram [EMAIL PROTECTED] writes:

 Hi,
 I already made a discussion about it. We can view the Logical I/Os. If
 we enable the log_statement_stats in the conf file and apply the following
 patch, it is possible. But putting it in Explain analyze makes more sense to
 me.

I was going to say that I'm really only interested in physical I/O. Logical
I/O which is satisfied by the kernel cache is only marginally interesting and
buffer fetches from Postgres's shared buffer is entirely uninteresting from
the point of view of trying to figure out what is slowing down a query.

However I suppose that's not true. There are other reasons why buffer fetches
could be interesting. In particular I imagine when users post explain analyzes
it would give us a good idea of whether their tables or bloated or their
tuples are extremely wide (in cases where the planner gets it wrong).

But I do think that showing logical I/Os without even an heuristic based
measurement of actual physical i/o is pretty useless. It will make people
think they want to grow their shared buffers to cover all of memory.

-- 
  Gregory Stark
  EnterpriseDB  http://www.enterprisedb.com
  Ask me about EnterpriseDB's PostGIS support!

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Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-15 Thread Gokulakannan Somasundaram
I was going to say that I'm really only interested in physical I/O. Logical
 I/O which is satisfied by the kernel cache is only marginally interesting
 and
 buffer fetches from Postgres's shared buffer is entirely uninteresting
 from
 the point of view of trying to figure out what is slowing down a query.


Ok the Physical I/Os are already visible, if you enable log_statement_stats.
Again i accept that it would be more helpful, if it gets displayed with
Explain Analyze.



 However I suppose that's not true. There are other reasons why buffer
 fetches
 could be interesting. In particular I imagine when users post explain
 analyzes
 it would give us a good idea of whether their tables or bloated or their
 tuples are extremely wide (in cases where the planner gets it wrong).


I have used it a lot for query tuning. If we re-write a query in such a way,
the logical reads will come down, then it implies lesser physical reads in
production. I think you would accept that there are some ways in which the
query can be re-written only by humans and not by the optimizer. When we do
that, instead of looking at the explain analyze time, it makes more sense
for me to look at the logical reads




 But I do think that showing logical I/Os without even an heuristic based
 measurement of actual physical i/o is pretty useless. It will make people
 think they want to grow their shared buffers to cover all of memory.


I just want to clarify that we should display both Logical reads and
physical reads together. But increasing the shared buffer by looking at the
performance of a query doesn't seem to be a good idea. But people should be
aware that Logical reads is not for shared buffer management.




 --
  Gregory Stark
  EnterpriseDB  http://www.enterprisedb.com
  Ask me about EnterpriseDB's PostGIS support!




-- 
Thanks,
Gokul.
CertoSQL Project,
Allied Solution Group.
(www.alliedgroups.com)


Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-15 Thread Heikki Linnakangas

Gokulakannan Somasundaram wrote:

I was going to say that I'm really only interested in physical I/O. Logical

I/O which is satisfied by the kernel cache is only marginally interesting
and
buffer fetches from Postgres's shared buffer is entirely uninteresting
from
the point of view of trying to figure out what is slowing down a query.


Ok the Physical I/Os are already visible, if you enable log_statement_stats.


I think you missed the point. What log_statement_stats shows are not 
physical I/Os, they're read() system calls. Unfortunately there's no 
direct way to tell if a read() is satisfied from OS cache or not. Greg's 
suggestion was about how to do that.


--
  Heikki Linnakangas
  EnterpriseDB   http://www.enterprisedb.com

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Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-14 Thread Neil Conway
On Fri, 2007-12-14 at 15:47 +, Gregory Stark wrote:
 I've wanted for a long time to have EXPLAIN ANALYZE output per-node I/O usage.
 This would be especially useful if we could distinguish hardware versus
 logical I/O though. And I always thought that would be very hard.
 
 My thought in the past was that would could do it on Solaris by having
 Postgres use DTrace directly via its (undocumented but existing) programmatic
 interface.
 
 For other operating systems it was tempting to suggest just timing the read(2)
 call to see if it took too long to be a logical operation. The problem there
 is that gettimeofday would impose far too much overhead to make that practical
 (or even be precise enough to work properly).
 
 But it occurred to me just now that the hardware instruction counter available
 on just about every platform would be good enough for a heuristic guess at
 whether the read(2) was cached.

I'm skeptical that this would be reliable enough to be very useful,
especially in the face of concurrent, unpredictable system activity on a
busy system. I agree that it would be useful information, though.
Perhaps a useful first step would be to teach EXPLAIN ANALYZE to report
the number of logical and physical I/Os from Postgres' perspective (i.e.
physical I/O just means we need to go to the kernel).

  The problem generally with using the hardware
 instruction counter is that it's not necessarily in sync between processors
 and might therefore run backwards or skip time forwards. This is a problem for
 profiling but if all we care about is a boolean guess at whether the request
 was satisfied quickly from cache then any such skipping forward or backward
 would represent a context switch which we could just toss in the hardware i/o
 bucket. It doesn't matter exactly how long the hardware i/o took, only that
 there was one.
 
 To that end I would love to see something like:
 
  QUERY PLAN   

 -
  Bitmap Heap Scan on h  (cost=8.52..16.45 rows=2 width=512) (actual 
 time=78.926..87.708 rows=2 loops=1 logical-I/O=2 physical-I/O=1)
Recheck Cond: (i = ANY ('{100,1000}'::integer[]))
-  Bitmap Index Scan on hi  (cost=0.00..8.52 rows=2 width=0) (actual 
 time=74.539..74.539 rows=2 loops=1 logical-I/O=2 physical-I/O=2))
  Index Cond: (i = ANY ('{100,1000}'::integer[]))
  Total runtime: 87.820 ms
 
 


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Re: [HACKERS] EXPLAIN ANALYZE printing logical and hardware I/O per-node

2007-12-14 Thread Gokulakannan Somasundaram
Hi,
I already made a discussion about it. We can view the Logical I/Os. If
we enable the log_statement_stats in the conf file and apply the following
patch, it is possible. But putting it in Explain analyze makes more sense to
me.



*** postgresql-8.3beta1/src/backend/storage/buffer/bufmgr.c Tue Sep 25
18:11:48 2007
--- postgresql-8.3patch/src/backend/storage/buffer/bufmgr.c Fri Oct 19
23:18:36 2007
***
*** 1470,1477 
   localhitrate = (float) LocalBufferHitCount *100.0 /
ReadLocalBufferCount;

   appendStringInfo(str,
!   !\tShared blocks: %10ld read, %10ld written, buffer hit rate =
%.2f%%\n,
!   ReadBufferCount - BufferHitCount,
BufferFlushCount, hitrate);
   appendStringInfo(str,
   !\tLocal  blocks: %10ld read, %10ld written, buffer hit rate =
%.2f%%\n,
ReadLocalBufferCount -
LocalBufferHitCount,
LocalBufferFlushCount, localhitrate);
--- 1470,1477 
   localhitrate = (float) LocalBufferHitCount *100.0 /
ReadLocalBufferCount;

   appendStringInfo(str,
!   !\tShared blocks: %10ld Logical Reads, %10ld Physical Reads, %10ld
written, buffer hit rate = %.2f%%\n,
!   ReadBufferCount, ReadBufferCount -
BufferHitCount,
BufferFlushCount, hitrate);
   appendStringInfo(str,
   !\tLocal  blocks: %10ld read, %10ld written, buffer hit rate =
%.2f%%\n,
ReadLocalBufferCount -
LocalBufferHitCount,
LocalBufferFlushCount, localhitrate);





-- 
Thanks,
Gokul.
CertoSQL Project,
Allied Solution Group.
(www.alliedgroups.com)