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help / color / mirror / Atom feedFrom: David Mullineux <[email protected]>
To: ravi k <[email protected]>
Cc: Ramakrishna m <[email protected]>
Cc: pgsql-general <[email protected]>
Subject: Re: Performance Issue with Hash Partition Query Execution in PostgreSQL 16
Date: Fri, 8 Nov 2024 13:39:02 +0000
Message-ID: <CAGsyd8X7U07UK8hjapwYBfbtK0KnMSxLtH6BFaxe1_i2=BR-+A@mail.gmail.com> (raw)
In-Reply-To: <CAFL4M8EmboE4wXBHe2EMFcShxUAxXgWFa4TT-iVD2hJcHumetg@mail.gmail.com>
References: <CAG-eXHJ+KbQ8_k-jKSGZU9V6HkLKU2Jqz7nYMYGhHuC-Zqm7qQ@mail.gmail.com>
<CAGsyd8WqPEgoAkNO0Q7rpQpOWOZ-Z6wCM7xh5d6nXCxLH_GM_A@mail.gmail.com>
<CAFL4M8EmboE4wXBHe2EMFcShxUAxXgWFa4TT-iVD2hJcHumetg@mail.gmail.com>
Just spotted a potential problem. The indexed column is a bigint. Are you,
in your prepared statement passing a string or a big int ?
I notice your plan is doing an implicit type conversion when you run it
manually.
Sometimes the wrong type will make it not use the index.
On Fri, 8 Nov 2024, 03:07 ravi k, <[email protected]> wrote:
> Hi ,
>
> Thanks for the suggestions.
>
> Two more observations:
>
> 1) no sequence scan noticed from pg_stat_user_tables ( hope stats are
> accurate in postgres 16) if parameter sniffing happens the possibility of
> going to sequence scan is more right.
>
> 2) no blockings or IO issue during the time.
>
> 3) even with limit clause if touch all partitions also it could have been
> completed in milliseconds as this is just one record.
>
> 4) auto_explain in prod we cannot enable as this is expensive and with
> high TPS we may face latency issues and lower environment this issue cannot
> be reproduced,( this is happening out of Million one case)
>
> This looks puzzle to us, just in case anyone experianced pls share your
> experience.
>
> Regards,
> Ravi
>
> On Thu, 7 Nov, 2024, 3:41 am David Mullineux, <[email protected]> wrote:
>
>> It might be worth eliminating the use of cached plans here. Is your app
>> using prepared statements at all?
>> Point is that if the optimizer sees the same prepared query , 5 times,
>> the it locks the plan that it found at that time. This is a good trade off
>> as it avoids costly planning-time for repetitive queries. But if you are
>> manually querying, the a custom plan will be generated anew.
>> A quick analyze of the table should reset the stats and invalidate any
>> cached plans.
>> This may not be your problem just worth eliminating it from the list of
>> potential causes.
>>
>> On Wed, 6 Nov 2024, 17:14 Ramakrishna m, <[email protected]> wrote:
>>
>>> Hi Team,
>>>
>>> One of the queries, which retrieves a single record from a table with 16
>>> hash partitions, is taking more than 10 seconds to execute. In contrast,
>>> when we run the same query manually, it completes within milliseconds. This
>>> issue is causing exhaustion of the application pools. Do we have any bugs
>>> in postgrs16 hash partitions? Please find the attached log, table, and
>>> execution plan.
>>>
>>> size of the each partitions : 300GB
>>> Index Size : 12GB
>>>
>>> Postgres Version : 16.x
>>> Shared Buffers : 75 GB
>>> Effective_cache : 175 GB
>>> Work _mem : 4MB
>>> Max_connections : 3000
>>>
>>> OS : Ubuntu 22.04
>>> Ram : 384 GB
>>> CPU : 64
>>>
>>> Please let us know if you need any further information or if there are
>>> additional details required.
>>>
>>>
>>> Regards,
>>> Ram.
>>>
>>
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Subject: Re: Performance Issue with Hash Partition Query Execution in PostgreSQL 16
In-Reply-To: <CAGsyd8X7U07UK8hjapwYBfbtK0KnMSxLtH6BFaxe1_i2=BR-+A@mail.gmail.com>
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