From: | Amitabh Kant <amitabhkant(at)gmail(dot)com> |
---|---|
To: | Ranjith Paliyath <ranjithp(at)suntecgroup(dot)com> |
Cc: | "pgsql-general(at)lists(dot)postgresql(dot)org" <pgsql-general(at)lists(dot)postgresql(dot)org> |
Subject: | Re: Purging few months old data and vacuuming in production |
Date: | 2022-12-30 07:18:17 |
Message-ID: | CAPTAQBKxq3y6M5Oot1c55UoKjmu-7XaRmcCRM56=aGnb8M=_LA@mail.gmail.com |
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On Fri, Dec 30, 2022 at 12:09 PM Ranjith Paliyath <ranjithp(at)suntecgroup(dot)com>
wrote:
> Hi,
>
> We have a PostgreSQL (slightly old version, something like - PostgreSQL
> 11.2 on x86_64-pc-linux-gnu, compiled by gcc (GCC) 4.8.5 20150623 (Red Hat
> 4.8.5-36), 64-bit) production, where one particular table and its related 5
> tables need to be purged of 3 months prior data. Each of these tables'
> daily record increment is on an average 2 to 3 million.
>
> Approach needed is to do a daily purge of 90days prior data. Probable
> purge processing window is expected to be 2hrs. Observed test timing for
> deletion is exceeding 2-3hrs and we are trying to do vacuuming after the
> deletes, which is again taking exceeding another 2hrs.
> There is a suggestion for re-creating the tables with partitions, and as
> purge approach could then be a deletion/dropping of these partitions, which
> would not really require a vacuuming later on.
>
> When we go for a Daily purge approach it should not put a strain on other
> processes which could be affecting this same set of tables, like these
> tables should not get locked because of the purge.
>
> Questions are -
> (a) Should we recommend PostgreSQL upgrade, if possible, to v15.1? Could
> this bring in some benefits related to vacuuming?
> (b) Would partitioning be an optimal approach?
>
> Thank you,
> Regards
>
>
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>
Partitioning would definitely help, if you partition by date .. Also, if my
memory serves me right, v 15 would definitely help if you have large number
of partitions, which in your case it's most likely to be the case.
Deleting from single table would be putting a strain on your existing table.
Amitabh
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