Re: increased max_parallel_workers_per_gather results in fewerworkers?
От
Luis Carril
Тема
Re: increased max_parallel_workers_per_gather results in fewerworkers?
Дата
Msg-id
LEXPR01MB1182C770FBB48C33231CD2CAE7890@LEXPR01MB1182.DEUPRD01.PROD.OUTLOOK.DE
Ответ на
Re: increased max_parallel_workers_per_gather results in fewerworkers? (Sebastian Dressler)
Список
Дерево обсуждения
increased max_parallel_workers_per_gather results in fewer workers? Philip Semanchuk <philip@americanefficient.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Justin Pryzby <pryzby@telsasoft.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Philip Semanchuk <philip@americanefficient.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Justin Pryzby <pryzby@telsasoft.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Tomas Vondra <tomas.vondra@2ndquadrant.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Sebastian Dressler <sebastian@swarm64.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Philip Semanchuk <philip@americanefficient.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Sebastian Dressler <sebastian@swarm64.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Philip Semanchuk <philip@americanefficient.com>
Re: increased max_parallel_workers_per_gather results in fewer workers? Sebastian Dressler <sebastian@swarm64.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Philip Semanchuk <philip@americanefficient.com>
Re: increased max_parallel_workers_per_gather results in fewerworkers? Luis Carril <luis.carril@swarm64.com>
Re: increased max_parallel_workers_per_gather results in fewer workers? Magnus Hagander <magnus@hagander.net>
Hi,
on top of the settings that Sebastian suggested, you can also try disabling the participation of the leader (i.e. the main backend process for your connection) in the distribution of the parallel workload:
SET parallel_leader_participation TO false Depending on your workload the leader could be saturated if it has to do a share of the workload and aggregate the results of all the workers.
Cheers
Luis
Luis
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