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From: Andrei Lepikhov <[email protected]>
To: Frédéric Yhuel <[email protected]>
To: Tom Lane <[email protected]>
Cc: [email protected] <[email protected]>
Cc: Jehan-Guillaume de Rorthais <[email protected]>
Cc: Christophe Courtois <[email protected]>
Cc: Laurenz Albe <[email protected]>
Subject: Re: Indexes on expressions with multiple columns and operators
Date: Mon, 22 Sep 2025 23:15:52 +0200
Message-ID: <[email protected]> (raw)
In-Reply-To: <[email protected]>
References: <[email protected]>
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On 22/9/2025 18:09, Frédéric Yhuel wrote:
> On 9/22/25 15:57, Andrei Lepikhov wrote:
> I wonder if we could devise another kind of extended statistic that 
> would provide these "partitioned statistics" without actually partitioning.I'm not sure I fully understand your case, but SQL Server demonstrates 
an interesting approach: they have a WHERE clause attached to 
statistics. So, having implemented this, you may separate the whole 
range of values inside the table into 'partitions' by such a WHERE 
condition.
It may solve at least one issue with the 'dependencies' statistics: a 
single number describing the dependency between any two values in the 
columns often leads to incorrect estimations, as I see.

-- 
regards, Andrei Lepikhov

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