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help / color / mirror / Atom feedFrom: Adrian Klaver <[email protected]>
To: veem v <[email protected]>
To: Greg Sabino Mullane <[email protected]>
Cc: Christophe Pettus <[email protected]>
Cc: pgsql-general <[email protected]>
Subject: Re: IO related waits
Date: Tue, 17 Sep 2024 16:37:28 -0700
Message-ID: <[email protected]> (raw)
In-Reply-To: <CAB+=1TV-b8=RGKVFN0qj5Nxdgbj-JYCNh4ZqFjxxmQPpFD6=PQ@mail.gmail.com>
References: <CAB+=1TWZNvMhVthJ2iKs_Q4qBzMw-v_oaSz7HbFE_P_qC5jMFA@mail.gmail.com>
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On 9/17/24 12:34, veem v wrote:
>
> On Tue, 17 Sept 2024 at 21:24, Adrian Klaver <[email protected]
> <mailto:[email protected]>> wrote:
>
>
> Which means you need to on Flink end:
>
> 1) Use Flink async I/O .
>
> 2) Find a client that supports async or fake it by using multiple
> synchronous clients.
>
> On Postgres end there is this:
>
> https://www.postgresql.org/docs/current/wal-async-commit.html
> <https://www.postgresql.org/docs/current/wal-async-commit.html;
>
> That will return a success signal to the client quicker if
> synchronous_commit is set to off. Though the point of the Flink async
> I/O is not to wait for the response before moving on, so I am not sure
> how much synchronous_commit = off would help.
>
>
> Got it. So it means their suggestion was to set the asynch_io at flink
> level but not DB level, so that the application will not wait for the
> commit response from the database. But in that case , won't it overload
> the DB with more and more requests if database will keep doing the
> commit ( with synchronous_commit=ON) and waiting for getting the
> response back from its storage for the WAL's to be flushed to the disk,
> while the application will not wait for its response back(for those
> inserts) and keep flooding the database with more and more incoming
> Insert requests?
My point is this is a multi-layer cake with layers:
1) Flink asycnc io
2) Database client async/sync
3) Postgres sync status.
That is a lot of moving parts and determining whether it is suitable is
going to require rigorous testing over a representative data load.
See more below.
>
> Additionally as I mentioned before, we see that from "pg_stat_database"
> from the column "xact_commit" , it's almost matching with the sum of
> "tup_inserted", "tup_updated", "tup_deleted" column. And also we
> verified in pg_stats_statements the "calls" column is same as the
> "rows" column for the INSERT queries, so it means also we are inserting
> exactly same number of rows as the number of DB calls, so doesn't it
> suggest that we are doing row by row operations/dmls.
>
> Also after seeing above and asking application team to do the batch
> commit ,we are still seeing the similar figures from pg_stat_database
> and pg_stat_statements, so does it mean that we are looking into wrong
> stats? or the application code change has not been done accurately? and
> we see even when no inserts are running from the application side, we do
> see "xact_commit" keep increasing along with "tup_fetched" , why so?
>
> Finally we see in postgres here, even if we just write a DML statement
> it does commit that by default, until we explicitly put it in a
> "begin... end" block. Can that be the difference between how a "commit"
> gets handled in postgres vs other databases?
It does if autocommit is set in the client, that is common to other
databases also:
https://dev.mysql.com/doc/refman/8.4/en/commit.html
https://docs.oracle.com/en/database/oracle/developer-tools-for-vscode/getting-started/disabling-and-...
https://learn.microsoft.com/en-us/sql/t-sql/statements/set-implicit-transactions-transact-sql?view=s...
You probably need to take a closer look at the client/driver you are
using and the code that interacting with it.
In fact I would say you need to review the entire data transfer process
to see if there are performance gains that can be obtained without
adding an entirely new async component.
>
>
--
Adrian Klaver
[email protected]
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