Postgresql – Is it possible to load data into Postgres using COPY, where the data includes a SELECT statement

Your problem is that when you add a new column to the_person, its child, the_person_two will have this field appended at the end of columns list (4th position), so after has_default column. See:

db=> \d temp_person
  Column   |       Type        |                            Modifiers                            
-----------+-------------------+-----------------------------------------------------------------
 person_id | integer           | not null default nextval('temp_person_person_id_seq'::regclass)
 name      | character varying | 
 foo       | text              | 

db=> \d temp_person_two 
   Column    |         Type         |                            Modifiers                            
-------------+----------------------+-----------------------------------------------------------------
 person_id   | integer              | not null default nextval('temp_person_person_id_seq'::regclass)
 name        | character varying    | 
 has_default | character varying(4) | not null default 'en'::character varying
 foo         | text                 | 

So, when you execute this:

INSERT INTO temp_person_two VALUES ( NEW.* );

PostgreSQL will actually understand that you want to insert on the first three columns of temp_person_two (as NEW.* will expand to three values), generating something similar to this:

INSERT INTO temp_person_two(person_id,name,has_default)
VALUES ( NEW.person_id, NEW.name, NEW.foo );

So, temp_person_two.has_default will get the value of NEW.foo, which is NULL in your case.

The solution is to simply expand the column names:

INSERT INTO temp_person_two(person_id,name,foo)
VALUES ( NEW.person_id, NEW.name, NEW.foo );

or, you could also use this:

INSERT INTO temp_person_two(person_id,name,foo)
VALUES ( NEW.* );

But this is weak, as any changes on column positions may break your statements, so I'd recommend the first one.

EDIT:

So the conclusion and the lesson learned here is:

Always explicitly type the names of the columns and the values when issuing an INSERT command, in fact, when issuing any SQL command at all... =D

This will save you a lot of time solving problems like that in future.

Option 2 would be the fastest. You are loading it directly, append-only. Option 3 would be similar except that you are updating data.

Option #4: Create a staging table (UNLOGGED) and COPY the CSV into that. After loading, use straight SQL or PLPGSQL to INSERT-INTO-CHILD--SELECT--FROM-. That allows fast bulk loading, with optional transformation steps after the load. If you have few indexes on the staging table (which you ideally add after the bulk load), you can have the whole ETL process work quite rapidly. Using plpgsql to load your child partition from the staging table allows gives you error-handling capabilities.