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etl.py
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etl.py
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import configparser
import psycopg2
from sql_queries import copy_table_queries, insert_table_queries
def load_staging_tables(cur, conn):
"""
Load data from s3 to Redshift Staging Tables
"""
for query in copy_table_queries:
print('Processing query: {}'.format(query))
cur.execute(query)
conn.commit()
print('{} processed!'.format(query))
print('All files copied!')
def insert_tables(cur, conn):
"""
Copy data from Redshift Staging Tables to Star Schema
"""
for query in insert_table_queries:
print('Processing query: {}'.format(query))
cur.execute(query)
conn.commit()
print('{} processed!'.format(query))
print('All files inserted!')
def main():
config = configparser.ConfigParser()
config.read('dwh.cfg')
conn = psycopg2.connect("host={} dbname={} user={} password={} port={}".format(*config['CLUSTER'].values()))
cur = conn.cursor()
print("AWS Redshift connection established!")
load_staging_tables(cur, conn)
insert_tables(cur, conn)
conn.close()
if __name__ == "__main__":
main()