Обсуждение: Short row header
I have this "poll results" table with just 3 integer fields, which is
never updated, only inserted/deleted...
Did the Devs consider an option to have VACUUM reduce the row header
sizes for tuples that are long commited and are currently visible to all
transactions ? (even if this makes the tuples non-updateable, as long as
they can be deleted, it would be OK for this type of tables).
PFC wrote: > > I have this "poll results" table with just 3 integer fields, which > is never updated, only inserted/deleted... > Did the Devs consider an option to have VACUUM reduce the row header > sizes for tuples that are long commited and are currently visible to all > transactions ? That has been suggested before, but IIRC it wasn't considered to be worth it. It would only save 4 bytes (the xmin field) per tuple, the free space would be scattered around all pages making it less useful, and having to deal with two different header formats would make accessing the header fields more complex. > (even if this makes the tuples non-updateable, as long as > they can be deleted, it would be OK for this type of tables). That would save another 6 bytes per tuple (ctid field), but we generally stay away from things that impose limitations like that. -- Heikki Linnakangas EnterpriseDB http://www.enterprisedb.com
"PFC" <lists@peufeu.com> writes: > I have this "poll results" table with just 3 integer fields, which is > never updated, only inserted/deleted... > Did the Devs consider an option to have VACUUM reduce the row header > sizes for tuples that are long commited and are currently visible to all > transactions ? (even if this makes the tuples non-updateable, as long as they > can be deleted, it would be OK for this type of tables). It wouldn't actually speed up anything unless the space it frees up was then used by something. That would mean loading one of your polls into the small bits of space freed up in every page. For most tables like this you want to do large bulk loads and want your loads stored quickly in contiguous space so it can be accessed quickly, not spread throughout the table. -- Gregory Stark EnterpriseDB http://www.enterprisedb.com