From: Josh Berkus <josh@agliodbs.com>
To: pgsql-hackers@postgresql.org
Cc: Zeugswetter Andreas ADI SD <ZeugswetterA@spardat.at>
Cc: Jim C. Nasby <jim@nasby.net>
Cc: pgsql-performance@postgresql.org
Subject: Re: [HACKERS] Hints proposal
Date: Fri, 13 Oct 2006 15:59:17 -0700
Message-ID: <200610131559.18328.josh@agliodbs.com> (raw)
In-Reply-To: <E1539E0ED7043848906A8FF995BDA579016A0990@m0143.s-mxs.net>
References: <E1539E0ED7043848906A8FF995BDA579016A0990@m0143.s-mxs.net>
Andreas,
> I think we need to more precisely define the problems of our system with
> point in time statistics
>
> -- no reaction to degree of other concurrent activity
> -- no way to react to abnormal skew that only persists for a very short
> duration
> -- too late reaction to changing distribution (e.g. current date column
> when a new year starts)
> and the variant: too late adaption when a table is beeing filled
> -- missing cost/selectivity estimates for several parts of the system
How would we manage point-in-time statistics? How would we collect them &
store them? I think this is an interesting idea, but very, very hard to
do ...
--
--Josh
Josh Berkus
PostgreSQL @ Sun
San Francisco
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To: pgsql-performance@postgresql.org
Cc: josh@agliodbs.com, pgsql-hackers@postgresql.org, ZeugswetterA@spardat.at, jim@nasby.net
Subject: Re: [HACKERS] Hints proposal
In-Reply-To: <200610131559.18328.josh@agliodbs.com>
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