From: | Scott Marlowe <scott(dot)marlowe(at)gmail(dot)com> |
---|---|
To: | Peter van Hardenberg <pvh(at)pvh(dot)ca> |
Cc: | Josh Berkus <josh(at)agliodbs(dot)com>, pgsql-performance(at)postgresql(dot)org |
Subject: | Re: random_page_cost = 2.0 on Heroku Postgres |
Date: | 2012-02-09 04:38:34 |
Message-ID: | CAOR=d=2RcQuLhLZvLFx9nWJ4REfMTCnyjegLoEsLgUHOnNBzLg@mail.gmail.com |
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Lists: | pgsql-performance |
On Wed, Feb 8, 2012 at 7:54 PM, Peter van Hardenberg <pvh(at)pvh(dot)ca> wrote:
> On Wed, Feb 8, 2012 at 6:47 PM, Peter van Hardenberg <pvh(at)pvh(dot)ca> wrote:
>> On Wed, Feb 8, 2012 at 6:28 PM, Scott Marlowe <scott(dot)marlowe(at)gmail(dot)com> wrote:
>>> On Wed, Feb 8, 2012 at 6:45 PM, Peter van Hardenberg <pvh(at)pvh(dot)ca> wrote:
>>>> That said, I have access to a very large fleet in which to can collect
>>>> data so I'm all ears for suggestions about how to measure and would
>>>> gladly share the results with the list.
>>>
>>> I wonder if some kind of script that grabbed random queries and ran
>>> them with explain analyze and various random_page_cost to see when
>>> they switched and which plans are faster would work?
>>
>> We aren't exactly in a position where we can adjust random_page_cost
>> on our users' databases arbitrarily to see what breaks. That would
>> be... irresponsible of us.
>>
>
> Oh, of course we could do this on the session, but executing
> potentially expensive queries would still be unneighborly.
>
> Perhaps another way to think of this problem would be that we want to
> find queries where the cost estimate is inaccurate.
Yeah, have a script the user runs for you heroku guys in their spare
time to see what queries are using the most time and then to jangle
the random_page_cost while running them to get an idea what's faster
and why.
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