Pavel, the idea of using arrays to store long time-series data sounds good, but I take your point that normalized tables might be better and are easier to query. I suppose the choice will be between normalizing or using the denormalized industry int, year smallint, emp_q1 int, emp_q2 int, emp_q3 int, emp_q4 int as suggested by Peter and Scott. We're mostly actually interested in annual numbers, but need to preserve the quarterly data for verification and for unusual analyses. So perhaps storing denormalized with an additional emp_annual int field, and a view that keeps the quarterly data out of sight. Thanks for your replies. Please feel free to comment if you think of anything else. Best, --Lee -- Lee Hachadoorian PhD Student, Geography Program in Earth & Environmental Sciences CUNY Graduate Center -- Sent via pgsql-general mailing list (pgsql-general@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-general
