RE: Never Ending query in PostgreSQL

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Hi Tomas , 

Thanks for replying , We have identified a Join condition which is creating a problem for that query.

Accept my apologies for pasting the plan twice. I am attaching the query again in this mail

We have found that by evicting the View paymenttransdetails_view from the attached query runs in approx. 10 secs and the view contains multiple conditions and 1 jojn as well.

I am attaching the View definition as well.

Please suggest if there is a work around for this query to run faster without evicting the above from the query.



Thanks and Regards, 
Mukesh Kumar

-----Original Message-----
From: Tomas Vondra <tomas.vondra@xxxxxxxxxxxxxxxx> 
Sent: Tuesday, March 1, 2022 7:35 PM
To: Jeff Janes <jeff.janes@xxxxxxxxx>; Kumar, Mukesh <MKumar@xxxxxxxxxxxxxxxxx>
Cc: pgsql-performance@xxxxxxxxxxxxxx
Subject: Re: Never Ending query in PostgreSQL

On 2/27/22 18:20, Jeff Janes wrote:
> 
> On Sun, Feb 27, 2022 at 7:09 AM Kumar, Mukesh 
> <MKumar@xxxxxxxxxxxxxxxxx <mailto:MKumar@xxxxxxxxxxxxxxxxx>> wrote:
> 
>     Hi Team,
> 
>     Can you please help in tunning the attached query as , i am trying
>     to run this query and it runs for several hours and it did not give
>     any output.
> 
> 
> Several hours is not all that long.  Without an EXPLAIN ANALYZE, we 
> could easily spend several hours scratching our heads and still get 
> nowhere.  So unless having this running cripples the rest of your 
> system, please queue up another one and let it go longer.  But first, 
> do an ANALYZE (and preferably a VACUUM ANALYZE) on all the tables.  If 
> you have a test db which is a recent clone of production, you could do 
> it there so as not to slow down production.  The problem is that the 
> row estimates must be way off (otherwise, it shouldn't take long) and 
> if that is the case, we can't use the plan to decide much of anything, 
> since we don't trust it.
> 

I'd bet Jeff is right and poor estimates are the root cause. The pattern with a cascade of "nested loop" in the explain is fairly typical. This is likely due to the complex join conditions and correlation.


> In parallel you could start evicting table joins from the query to 
> simplify it until it gets to the point where it will run, so you can 
> then see the actual row counts.  To do that it does help if you know 
> what the intent of the query is (or for that matter, the text of the 
> query--you attached the plan twice).
> 

Right, simplify the query. Or maybe do it the other way around - start with the simplest query (the inner-most part of the explain) and add joins one by one (by following the explains) until it suddenly starts being much slower.


regards

--
Tomas Vondra
EnterpriseDB: https://urldefense.com/v3/__http://www.enterprisedb.com__;!!KupS4sW4BlfImQPd!P_2LgOrDOnTxBqFECBDdQolWyDNytft5mDbiJF_Bn827W6GdEOflXZ8a-NWSzdi6nJgewzgEJom8uFDBFgGKSETUD5VHA38$
The Enterprise PostgreSQL Company

Attachment: Tuned_Query (002).sql
Description: Tuned_Query (002).sql

Attachment: View.sql
Description: View.sql


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