Re: Automatic function replanning

Oh, OK, so you are logging prepared queries where the plan generates a
significantly different number of rows from previous runs.  I am not
sure why that is better, or easier, than just invalidating the  cached
plan if the cardinality changes.

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Jim C. Nasby wrote:
> On Wed, Dec 21, 2005 at 11:00:31PM -0500, Bruce Momjian wrote:
> > > Track normal resource consumption (ie: tuples read) for planned queries
> > > and record parameter values that result in drastically different
> > > resource consumption.
> > > 
> > > This would at least make it easy for admins to identify prepared queries
> > > that have a highly variable execution cost.
> > 
> > We have that TODO already:
> > 
> >     * Log statements where the optimizer row estimates were dramatically
> >       different from the number of rows actually found?
> 
> Does the stored plan also save how many rows were expected? Otherwise
> I'm not sure how that TODO covers it... If it does then please ignore my
> ramblings below. :)
> 
> My idea has nothing to do with row estimates. It has to do with the
> amount of work actually done to perform a query. Consider this example:
> 
> CREATE TABLE queue (status char NOT NULL, queue_item text NOT NULL);
> CREATE INDEX queue__status ON queue (status);
> 
> Obviously, to process this you'll need a query like:
> SELECT * FROM queue WHERE status='N' -- N for New;
> 
> Say you also occasionally need to see a list of items that have been
> processed:
> SELECT * FROM queue WHERE status='D' -- D for Done;
> 
> And let's say you need to keep done items around for 30 days.
> 
> Now, if both of these are done using a prepared statement, it's going to
> look like:
> 
> SELECT * FROM queue WHERE status='?';
> 
> If the first one to run is the queue processing one, the planner will
> probably choose the index. This means that when we're searching on 'N',
> there will be a fairly small number of tuples read to execute the query,
> but when searching for 'D' a very large number of tuples will be read.
> 
> What I'm proposing is to keep track of the 'normal' number of tuples
> read when executing a prepared query, and logging any queries that are
> substantially different. So, if you normally have to read 50 tuples to
> find all 'N' records, when the query looking for 'D' records comes along
> and has to read 5000 tuples instead, we want to log that. Probably the
> easiest way to accomplish this is to store a moving average of tuples
> read with each prepared statement entry.
> -- 
> Jim C. Nasby, Sr. Engineering Consultant      jnasby@pervasive.com
> Pervasive Software      http://pervasive.com    work: 512-231-6117
> vcard: http://jim.nasby.net/pervasive.vcf       cell: 512-569-9461
> 
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