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ingest_data_copy.py
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ingest_data_copy.py
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#!/usr/bin/env python
# coding: utf-8
import os
import argparse
from time import time
import pandas as pd
from sqlalchemy import create_engine
def main(params):
user = params.user
password = params.password
host = params.host
port = params.port
db = params.db
table_name = params.table_name
url = params.url
# the backup files are gzipped, and it's important to keep the correct extension
# for pandas to be able to open the file
if url.endswith('.csv.gz'):
csv_name = 'output.csv.gz'
else:
csv_name = 'output.csv'
os.system(f"wget {url} -O {csv_name}")
engine = create_engine(f'postgresql://{user}:{password}@{host}:{port}/{db}')
df_iter = pd.read_csv(csv_name, iterator=True, chunksize=100000)
df = next(df_iter)
df.tpep_pickup_datetime = pd.to_datetime(df.tpep_pickup_datetime)
df.tpep_dropoff_datetime = pd.to_datetime(df.tpep_dropoff_datetime)
df.head(n=0).to_sql(name=table_name, con=engine, if_exists='replace')
df.to_sql(name=table_name, con=engine, if_exists='append')
while True:
try:
t_start = time()
df = next(df_iter)
df.tpep_pickup_datetime = pd.to_datetime(df.tpep_pickup_datetime)
df.tpep_dropoff_datetime = pd.to_datetime(df.tpep_dropoff_datetime)
df.to_sql(name=table_name, con=engine, if_exists='append')
t_end = time()
print('inserted another chunk, took %.3f second' % (t_end - t_start))
except StopIteration:
print("Finished ingesting data into the postgres database")
break
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Ingest CSV data to Postgres')
parser.add_argument('--user', required=True, help='user name for postgres')
parser.add_argument('--password', required=True, help='password for postgres')
parser.add_argument('--host', required=True, help='host for postgres')
parser.add_argument('--port', required=True, help='port for postgres')
parser.add_argument('--db', required=True, help='database name for postgres')
parser.add_argument('--table_name', required=True, help='name of the table where we will write the results to')
parser.add_argument('--url', required=True, help='url of the csv file')
args = parser.parse_args()
main(args)