Code Postal New Folder 582.rar -

-- Delete obsolete codes DELETE FROM postal_codes p USING postal_codes_stg s WHERE p.code = s.code AND s.is_active = FALSE; -- assuming a flag in the new file

df = pd.read_csv('postal_codes.csv', dtype=str) # keep leading zeros print(df.head()) print(df['postal_code'].nunique(), "unique postal codes") If GIS data is present ( postal_codes.geojson ): Code postal new folder 582.rar

-- Update changed rows UPDATE postal_codes p SET city = s.city, lat = s.lat, lng = s.lng FROM postal_codes_stg s WHERE p.code = s.code AND (p.city <> s.city OR p.lat <> s.lat OR p.lng <> s.lng); -- Delete obsolete codes DELETE FROM postal_codes p

import pandas as pd

-- Insert new codes INSERT INTO postal_codes (code, city, lat, lng) SELECT s.code, s.city, s.lat, s.lng FROM postal_codes_stg s LEFT JOIN postal_codes p ON p.code = s.code WHERE p.code IS NULL; lat = s.lat

1. Introduction The term “code postal” (French for postal code ) denotes the series of digits (and sometimes letters) that identify a specific geographic area for the purpose of sorting and delivering mail. While the concept is universal, each country has developed its own conventions, lengths, and hierarchical structures.