Dear all, We have a DB containing transactional data. There are about *50* to *100 x 10^6* rows in one *huge* table. We are using postgres 9.1.6 on linux with a *SSD card on PCIex* providing us a constant seeking time. A typical select (see below) takes about 200 secs. As the database is the backend for a web-based reporting facility 200 to 500 or even more secs response times are not acceptable for the customer. Is there any way to speed up select statements like this: SELECT SUM(T.x), SUM(T.y), SUM(T.z), AVG(T.a), AVG(T.b) FROM T GROUP BY T.c WHERE T.creation_date=$SOME_DATE; There is an Index on T.c. But would it help to partition the table by T.c? It should be mentioned, that T.c is actually a foreign key to a Table containing a tiny number of rows (15 rows representing different companies). my postgres.conf is actually the default one, despite the fact that we increased the value for work_mem=128MB Thanks in advance Houman -- View this message in context: http://postgresql.1045698.n5.nabble.com/SELECT-AND-AGG-huge-tables-tp5728306.html Sent from the PostgreSQL - performance mailing list archive at Nabble.com. -- Sent via pgsql-performance mailing list (pgsql-performance@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-performance
