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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):
"""
Copies data to staging tables using the queries in `copy_table_queries`.
"""
for query in copy_table_queries:
try:
cur.execute(query)
conn.commit()
except psycopg2.Error:
print("Error: Copying into staging tables")
raise
def insert_tables(cur, conn):
"""
Inserts data to target tables using the queries in `insert_table_queries`.
"""
for query in insert_table_queries:
try:
cur.execute(query)
conn.commit()
except psycopg2.Error:
print("Error: Inserting into target tables")
raise
def main():
"""
- Reads configuration file.
- Establishes connection with the sparkify database and gets
cursor to it.
- Copies logfiles and songfiles from S3 bucket into sparkify
staging tables: stg_events, stg_songs
- Inserts data from staging files into sparkify database target tables.
- Finally, closes the connection.
"""
# read config
config = configparser.ConfigParser()
config.read('dwh.cfg')
# set process status
success = False
conn = None
try:
# connect database
conn = psycopg2.connect("host={} dbname={} user={} password={} \
port={}".format(*config['CLUSTER'].values()))
# create cursor
cur = conn.cursor()
# copy data to staging tables
load_staging_tables(cur, conn)
# insert data from staging to final tables
insert_tables(cur, conn)
# change process status
success = True
except psycopg2.Error as e:
print(e)
finally:
if conn is not None:
conn.close()
if success:
print('Process suceeded')
else:
print('Process failed')
if __name__ == "__main__":
main()