Re: Performance issues migrating from 743 to 826 - Mailing list pgsql-performance

From Gregory Stark
Subject Re: Performance issues migrating from 743 to 826
Date
Msg-id 87sl0iqg0w.fsf@oxford.xeocode.com
Whole thread Raw
In response to Performance issues migrating from 743 to 826  (Matthew Lunnon <mlunnon@rwa-net.co.uk>)
Responses Re: Performance issues migrating from 743 to 826  (Matthew Lunnon <mlunnon@rwa-net.co.uk>)
List pgsql-performance
"Matthew Lunnon" <mlunnon@rwa-net.co.uk> writes:

> In this case the query takes 6.037 ms to run on 862 and 2.332 to run on 743.

The difference between 2ms and 6ms is pretty negligable. A single context
switch or disk cache miss could throw the results off by that margin in either
direction.

But what plan does 7.4.3 come up with if you set enable_hashjoins = off? I'm
curious whether it comes up with the same nested loops plan as 8.2 and what
cost it says it has.

I think you need to find queries which take longer to have any reliable
performance comparisons. Note that the configuration parameters here aren't
the same at all, it's possible the change of effective_cache_size from 800k to
2GB is what's changing the cost estimation. I seem to recall a change in the
arithmetic for calculatin Nested loop costs too which made it more aggressive
in estimating cache effectiveness.

Incidentally, default_statistics_target=1000 is awfully aggressive. I found in
the past that that caused the statistics table to become much larger and much
slower to access. It may have caused some statistics to be toasted or it may
have just been the sheer volume of data present. It will also make your
ANALYZEs take a lot longer. I would suggest trying 100 first and incrementally
raising it rather than jumping straight to 1000. And preferably only on the
columns which really matter.

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

pgsql-performance by date:

Previous
From: Dean Rasheed
Date:
Subject: Re: Slow set-returning functions
Next
From: Alex Hochberger
Date:
Subject: Hard Drive Usage for Speeding up Big Queries