From: | "Euler Taveira" <euler(at)eulerto(dot)com> |
---|---|
To: | "Tomas Vondra" <tomas(dot)vondra(at)enterprisedb(dot)com>, "Gayatri Singh" <gayatripremselvi(at)gmail(dot)com>, pgsql-hackers(at)lists(dot)postgresql(dot)org |
Subject: | Re: Identify transactions causing highest wal generation |
Date: | 2024-03-08 16:32:47 |
Message-ID: | 184db881-c676-4212-a035-6c5da5dc7053@app.fastmail.com |
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Thread: | |
Lists: | pgsql-hackers |
On Fri, Mar 8, 2024, at 12:40 PM, Tomas Vondra wrote:
> On 3/8/24 15:50, Gayatri Singh wrote:
> > Hello Team,
> >
> > Can you help me with steps to identify transactions which caused wal
> > generation to surge ?
> >
>
> You should probably take a look at pg_waldump, which prints information
> about WAL contents, including which XID generated each record.
You can also use pg_stat_statements to obtain this information.
postgres=# select * from pg_stat_statements order by wal_bytes desc;
-[ RECORD 1 ]----------+---------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------
userid | 10
dbid | 16385
toplevel | t
queryid | -8403979585082616547
query | UPDATE pgbench_accounts SET abalance = abalance + $1 WHERE aid = $2
plans | 0
total_plan_time | 0
min_plan_time | 0
max_plan_time | 0
mean_plan_time | 0
stddev_plan_time | 0
calls | 238260
total_exec_time | 4642.599296000018
min_exec_time | 0.011094999999999999
max_exec_time | 0.872748
mean_exec_time | 0.01948543312347807
stddev_exec_time | 0.006370786385582063
rows | 238260
.
.
.
wal_records | 496659
wal_fpi | 19417
wal_bytes | 208501147
.
.
.
--
Euler Taveira
EDB https://www.enterprisedb.com/
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