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help / color / mirror / Atom feedFrom: Andrei Lepikhov <[email protected]>
To: Ba Jinsheng <[email protected]>
To: [email protected] <[email protected]>
Subject: Re: Performance of Query 4 on TPC-DS Benchmark
Date: Tue, 12 Nov 2024 17:40:59 +0700
Message-ID: <[email protected]> (raw)
In-Reply-To: <SEZPR06MB649449C88C484B0BDE17A9C28A582@SEZPR06MB6494.apcprd06.prod.outlook.com>
References: <SEZPR06MB6494F6A2837995BDD4E0BF9A8A5F2@SEZPR06MB6494.apcprd06.prod.outlook.com>
<[email protected]>
<SEZPR06MB649449C88C484B0BDE17A9C28A582@SEZPR06MB6494.apcprd06.prod.outlook.com>
On 11/11/24 17:49, Ba Jinsheng wrote:
>
> >It is all the time a challenge for PostgreSQL to estimate such a filter
> >because of absent information on joint column distribution.
> >Can you research this way by building extended statistics on these
> >clauses? It could move the plan to the more optimal direction.
>
> Thanks a lot for your effort to analyze this issue, and we really
> appreciate your suggestions! Currently, we focus on exposing these
> issues that affect performance. In the future, we may consider to look
> into such a direction as you suggested.
It would be better to participate in further analysis - at least, to
find out general solution and classify your findings.
For example in your query, if you replace CTE with a table (see in the
attachment) and execute vacuum analyze on this table you will have
well-estimated query which executes fast.
>
>
> > Have you tried any tools to improve the cardinality yet, like aqo [0]?
> Yes, but it takes nearly 1 hour to run this query at a time, so I only
> run "EXPLAIN ANALYZE" once, and the performance seems slightly improved.
Hmm, AQO iteratively approaches optimal decision. Sometimes it is a
local optimum, but we still don't have a method practical enough to kick
its out of the trap of local optimum.
--
regards, Andrei Lepikhov
Attachments:
[application/sql] tpcds-1.sql (14.5K, ../[email protected]/2-tpcds-1.sql)
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[application/sql] year_total.sql (2.2K, ../[email protected]/3-year_total.sql)
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