On Wed, 20 Nov 2019 at 17:02, Amit Kapila <amit.kapil...@gmail.com> wrote: > > On Wed, Nov 20, 2019 at 11:01 AM Masahiko Sawada > <masahiko.saw...@2ndquadrant.com> wrote: > > > > I've attached the latest version patch set. The patch set includes all > > discussed points regarding index AM options as well as shared cost > > balance. Also I added some test cases used all types of index AM. > > > > During developments I had one concern about the number of parallel > > workers to launch. In current design each index AMs can choose the > > participation of parallel bulk-deletion and parallel cleanup. That > > also means the number of parallel worker to launch might be different > > for each time of parallel bulk-deletion and parallel cleanup. In > > current patch the leader will always launch the number of indexes that > > support either one but it would not be efficient in some cases. For > > example, if we have 3 indexes supporting only parallel bulk-deletion > > and 2 indexes supporting only parallel index cleanup, we would launch > > 5 workers for each execution but some workers will do nothing at all. > > To deal with this problem, I wonder if we can improve the parallel > > query so that the leader process creates a parallel context with the > > maximum number of indexes and can launch a part of workers instead of > > all of them. > > > > Can't we choose the number of workers as a maximum of > "num_of_indexes_that_support_bulk_del" and > "num_of_indexes_that_support_cleanup"? If we can do that, then we can > always launch the required number of workers for each phase (bulk_del, > cleanup). In your above example, it should choose 3 workers while > creating a parallel context. Do you see any problem with that?
I might be missing something but if we create the parallel context with 3 workers the leader process always launches 3 workers. Therefore in the above case it launches 3 workers even in cleanup although 2 workers is enough. Regards, -- Masahiko Sawada http://www.2ndQuadrant.com/ PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services
