Hi I'm pretty sure PostgreSQL can handle this. But since you asked with a theoretic background, it's probably worthwhile to look at column stores (like [1]). -S. [*] http://citusdata.github.io/cstore_fdw/ 2015-01-19 22:47 GMT+01:00 Jonathan Vanasco <postgres@xxxxxxxx>: > This is really a theoretical/anecdotal question, as I'm not at a scale yet where this would measurable. I want to investigate while this is fresh in my mind... > > I recall reading that unless a row has columns that are TOASTed, an `UPDATE` is essentially an `INSERT + DELETE`, with the previous row marked for vacuuming. > > A few of my tables have the following characteristics: > - The Primary Key has many other tables/columns that FKEY onto it. > - Many columns (30+) of small data size > - Most columns (90%) are 1 WRITE(UPDATE) for 1000 READS > - Some columns (10%) do a bit of internal bookkeeping and are 1 WRITE(UPDATE) for 50 READS > > Has anyone done testing/benchmarking on potential efficiency/savings by consolidating the frequent UPDATE columns into their own table? > > > > > -- > Sent via pgsql-general mailing list (pgsql-general@xxxxxxxxxxxxxx) > To make changes to your subscription: > http://www.postgresql.org/mailpref/pgsql-general -- Sent via pgsql-general mailing list (pgsql-general@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-general
