Re: Too many waits on extension of relation - Mailing list pgsql-performance

From MichaelDBA
Subject Re: Too many waits on extension of relation
Date
Msg-id 7e0f9115-7200-a022-12d5-8a47984d1cad@sqlexec.com
Whole thread Raw
In response to Re: Too many waits on extension of relation  (Sushant Pawar <sushant.pawar@ashnik.com>)
Responses Re: Too many waits on extension of relation
List pgsql-performance
Are you having locks where the type = extend?

If so, this is a symptom of slow inserts
due to many concurrent connections trying to insert into the same table at the same time. Each insert request may result in an extend lock (8k extension), which blocks other writers. What normally happens is that these extend locks happen so fast that you hardly ever see them in the pg_locks table, except in the case where many concurrent connections are trying to do inserts into the same table.

Regards,
Michael Vitale


Sushant Pawar wrote on 10/5/2020 1:38 PM:
We are also getting similar warning messages in the log file, for Insert operation as it is blocking concurrent inserts on the same table. As per the online documents, I have come across, suggest is because the Postgres process takes time to search for the relevant buffer in the shared_buffer area if shared_buffer is too big.

In the highly transactional system, there may not be enough free buffers to allocate for incoming transactions.  In our case allocated shared buffer is 24GB and has RAM 120GB, not sure whether we can call it too big but while querying pg_buffercache  has always given indication that 12-13GB shared_buffers would be appropriate in our case. I have used the below URL to evaluate the shared buffer sizing.




Best Regards,

Sushant Pawar 



On Mon, Oct 5, 2020 at 10:14 PM Michael Lewis <mlewis@entrata.com> wrote:
What is relation 266775 of database 196511? Is it cms_c207c1e2_0ce7_422c_aafb_77d43f61e563.cms_item or some system catalog table?

When I search google for "ExclusiveLock on extension of relation" I find one thread about shared_buffers being very high but not big enough to fit the entire data in the cluster. How much ram, what is shared buffers and what is the total size of the database(s) on that Postgres instance?

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