Simple script to turn my homework's CSV file to a SQL file based on a Relational Database Schema ... Just Refreshing my Python Knowledge.
(schema provided by my professor)
csv uploaded by @rgriff23: https://www.kaggle.com/datasets/heesoo37/120-years-of-olympic-history-athletes-and-results
Input file: athlete_events.csv
Created sql: done.sql
Due to the Equestrian events in the Summer of 1956 the database includes 2 cities with the keys (1956, 'Summer') so deleting the following line will remove the error.
INSERT INTO Games (Year, Period, City, HostedInCountry) VALUES (1956, 'Summer', 'Stockholm', 'SWE');
set feedback off
set define off
ALTER SESSION SET NLS_DATE_FORMAT = 'DD/MM/YYYY';
INSERT INTO Country (NOC, Name) VALUES ('CHN', 'China');
INSERT INTO Country (NOC, Name) VALUES ('DEN', 'Denmark');
INSERT INTO Country (NOC, Name) VALUES ('NED', 'Netherlands');
INSERT INTO Country (NOC, Name) VALUES ('USA', 'United States');
INSERT INTO Country (NOC, Name) VALUES ('FIN', 'Finland');
...................
INSERT INTO Event (Ename, Sport, Gender, Category) VALUES ('Basketball Men Basketball', 'Basketball', 'Men', 'Basketball');
INSERT INTO Event (Ename, Sport, Gender, Category) VALUES ('Judo Men Extra-Lightweight', 'Judo', 'Men', 'Extra-Lightweight');
INSERT INTO Event (Ename, Sport, Gender, Category) VALUES ('Football Men Football', 'Football', 'Men', 'Football');
INSERT INTO Event (Ename, Sport, Gender, Category) VALUES ('Tug-Of-War Men Tug-Of-War', 'Tug-Of-War', 'Men', 'Tug-Of-War');
INSERT INTO Event (Ename, Sport, Gender, Category) VALUES ('Speed Skating Women 500 metres', 'Speed Skating', 'Women', '500 metres');
...................
INSERT INTO Games (Year, Period, City, HostedInCountry) VALUES (1992, 'Summer', 'Barcelona', 'ESP');
INSERT INTO Games (Year, Period, City, HostedInCountry) VALUES (2012, 'Summer', 'London', 'GBR');
INSERT INTO Games (Year, Period, City, HostedInCountry) VALUES (1920, 'Summer', 'Antwerpen', 'BEL');
INSERT INTO Games (Year, Period, City, HostedInCountry) VALUES (1900, 'Summer', 'Paris', 'FRA');
INSERT INTO Games (Year, Period, City, HostedInCountry) VALUES (1988, 'Winter', 'Calgary', 'CAN');
...................
INSERT INTO Athlete (AthleteID, Name, DateOfBirth, Sex, HasTeam) VALUES (1, 'A Dijiang', '06-09-1968', 'M', 'CHN');
INSERT INTO Athlete (AthleteID, Name, DateOfBirth, Sex, HasTeam) VALUES (2, 'A Lamusi', '14-05-1989', 'M', 'CHN');
INSERT INTO Athlete (AthleteID, Name, DateOfBirth, Sex, HasTeam) VALUES (3, 'Gunnar Nielsen Aaby', '17-07-1896', 'M', 'DEN');
INSERT INTO Athlete (AthleteID, Name, DateOfBirth, Sex, HasTeam) VALUES (4, 'Edgar Lindenau Aabye', '25-10-1866', 'M', 'DEN');
INSERT INTO Athlete (AthleteID, Name, DateOfBirth, Sex, HasTeam) VALUES (5, 'Christine Jacoba Aaftink', '22-01-1967', 'F', 'NED');
...................
INSERT INTO Participation (AthleteID, Year, Period, Event, Medal) VALUES (1, 1992, 'Summer', 'Basketball Men Basketball', 'NA');
INSERT INTO Participation (AthleteID, Year, Period, Event, Medal) VALUES (2, 2012, 'Summer', 'Judo Men Extra-Lightweight', 'NA');
INSERT INTO Participation (AthleteID, Year, Period, Event, Medal) VALUES (3, 1920, 'Summer', 'Football Men Football', 'NA');
INSERT INTO Participation (AthleteID, Year, Period, Event, Medal) VALUES (4, 1900, 'Summer', 'Tug-Of-War Men Tug-Of-War', 'Gold');
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