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Locks analysis after-the-fact

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Hello all,

PostgreSQL version 9.4.17

We have a number of queries running on the same DB from many systems. Among other things, we need to INSERT / UPDATE on a table based on external events - this is done via a pool of 5 SQL connections which process an average of 500 events / second. The table is used by other systems as well...

We have more and more locks on this table, which prevents it to be updated as it should - and I'm trying to see how to improve things without setting up an external queue system just to manage those events.

I've enabled "log_lock_waits = on" in the configuration, which generates the following kind of log entries:

2018-04-27 07:48:07 CEST [1419.269] "[unknown]" xx@yy LOG:  process 1419 still waiting for ExclusiveLock on advisory lock [16417,1653339453,2672182422,2] after 1000.166 ms
2018-04-27 07:48:07 CEST [1419.270] "[unknown]" xx@yy DETAIL:  Process holding the lock: 16418. Wait queue: 1419.
2018-04-27 07:48:07 CEST [1419.271] "[unknown]" xx@yy STATEMENT:  SELECT pg_advisory_xact_lock(1653339453,  -1622784874);
2018-04-27 07:48:07 CEST [1419.272] "[unknown]" xx@yy LOG:  process 1419 acquired ExclusiveLock on advisory lock [16417,1653339453,2672182422,2] after 1318.721 ms
2018-04-27 07:48:07 CEST [1419.273] "[unknown]" xx@yy STATEMENT:  SELECT pg_advisory_xact_lock(1653339453,  -1622784874);

I can easily identify the session owner of the different processes, but the process holding the lock belong to an ERP which generates a lot of different kind of queries - I'd like to identify precisely which one is causing this long-lasting lock.

It doesn't look like this is possible via the PostgreSQL logging features, and doing the usual lock troubleshooting "on the spot" using pg_locks is not practical due to the short duration and odd timing of those locks.

Does anyone have an idea on how to process in such a case?

Thank you,

Olivier

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