Hey everyone,
I have a bunch of text files that each have a bunch of columns in common. I
plan to import these files into PostgreSQL tables. The website user will be
able to send a GET request to query a table and get back data from it.
Since most of the tables will have a bunch of columns in common, how should
I structure them in my `models.py`?
Here's a couple examples of tab-delimited text files I'll import.
NAME S1903_C02_001E state county tract State-County-Tract-ID
Census Tract 201, Autauga County, Alabama 66000 01 001 020100
01001020100
Census Tract 202, Autauga County, Alabama 41107 01 001 020200
01001020200
Census Tract 203, Autauga County, Alabama 51250 01 001 020300
01001020300
and
NAME S1903_C02_001F S1903_C02_001G state county tract State-County-Tract
-ID
Census Tract 201, Autauga County, Alabama 66000 4040 01 001 020100
01001020100
Census Tract 202, Autauga County, Alabama 41107 192837 01 001 020200
01001020200
Census Tract 203, Autauga County, Alabama 51250 39482 01 001 020300
01001020300
As you can see, they have several columns in common. I wouldn't want to
repeat myself in `models.py` by listing the same columns over and over.
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