Hello, I have a table of rows which partially duplicate one another and need to be merged and moved into a table with a primary key.
As an additional complication, some of the duplicates contain different information, ex.: schema1.datatable: key1 None None 3 4 schema2.datatable: key1 1 2 7 None desired result: schema1.datatable: key1 1 2 3 4 I looked for a specific function that would do this sort of merge and failed. So I tried: UPDATE schema1.datatable SET schema1.datatable.field1 = schema2.datatable.field1 FROM schema2.datatable WHERE schema2.datatable.keyfield = schema1.datatable.keyfield AND schema1.datatable.field1 = None; Which is suboptimal because I'd need a command for each field, but it would be a start. However, the schema names are not recognised. I get error messages to the effect that "cross-database references are not implemented" or "relation "schema1/2" does not exist.Even the much simpler SELECT DISTINCT schema2.datatable INTO schema1.datatable; ...gives me these messages. Qualifying right up to the database level produces "improper qualified name (too many dotted names)". I'm pretty sure that this isn't a capitalization/quoting problem as described in the FAQ. Is it not possible to use these functions between schemas? Or am I misusing the functions in a more basic way? The problem is somewhat similar to this one: http://archives.postgresql.org/pgsql-sql/2007-02/msg00055.php Namely, Regards, H.Jenkins ---------------------------(end of broadcast)--------------------------- TIP 5: don't forget to increase your free space map settings
