Does pandas need to close connection?
Question:
When using pandas “read_sql_query”, do I need to close the connection? Or should I use a “with” statement? Or can I just use the following and be good?
from sqlalchemy import create_engine
import pandas as pd
sql = """
SELECT * FROM Table_Name;
"""
engine = create_engine('blah')
df = pd.read_sql_query(sql, engine)
print df.head()
Answers:
Looking at the source code, I can’t find a con.close() method on any SQL connection object, only the cursor objects for the queries.
I’d close for safe-measure. Whether you do that using with or not is up to you.
For anyone who finds this question and wonders how to close the connection in this example, the following method worked for me: engine.dispose()
When using pandas “read_sql_query”, do I need to close the connection? Or should I use a “with” statement? Or can I just use the following and be good?
from sqlalchemy import create_engine
import pandas as pd
sql = """
SELECT * FROM Table_Name;
"""
engine = create_engine('blah')
df = pd.read_sql_query(sql, engine)
print df.head()
Looking at the source code, I can’t find a con.close() method on any SQL connection object, only the cursor objects for the queries.
I’d close for safe-measure. Whether you do that using with or not is up to you.
For anyone who finds this question and wonders how to close the connection in this example, the following method worked for me: engine.dispose()