question about parallel. i read document and i can't solve it. provide the solution please.

Started by PG Bug reporting form6 months ago2 messagesdocs
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#1PG Bug reporting form
noreply@postgresql.org

The following documentation comment has been logged on the website:

Page: https://www.postgresql.org/docs/18/when-can-parallel-query-be-used.html
Description:

I'm inquiring because I have some problem getting parallel processing to run
effectively in PostgreSQL.

My current parameter settings.
max_parallel_apply_workers_per_subscription = 2
max_parallel_maintenance_workers = 8
max_parallel_workers = 8
max_parallel_workers_per_gather = 4
max_worker_processes = 8

We are using a 4core CPU. When I set the table's parallel_workers to 8 or
use a hint like /* + Parallel (a 8) */, the EXPLAIN ANALYZE output shows: ->
Gather immediately followed by Workers Planned: 8 and Workers Launched: 2.

It seems the performance is not different when I use parallel because the
Workers Launched value is only 2.

How can I increase the Workers Launched value to match the Workers Planned
value, or at least raise it to 4?

I want to use parallel to speed up for index creation and data insertion

#2David G. Johnston
david.g.johnston@gmail.com
In reply to: PG Bug reporting form (#1)
Re: question about parallel. i read document and i can't solve it. provide the solution please.

On Sunday, November 9, 2025, PG Doc comments form <noreply@postgresql.org>
wrote:

The following documentation comment has been logged on the website:

Page: https://www.postgresql.org/docs/18/when-can-parallel-
query-be-used.html
Description:

I'm inquiring because I have some problem getting parallel processing to
run
effectively in PostgreSQL.

This is not the right place to seek support. We have a -general mailing
list for that.

How can I increase the Workers Launched value to match the Workers Planned
value, or at least raise it to 4?

That level of control is not provided.

I want to use parallel to speed up for index creation and data insertion

This page clearly states that data writing is not parallelized.

David J.