converting pandas to sql and sending it to a sql-server

henry :

I would like to convert a pandas data-frame df to an sql database and sent it to a sql-server. This is what I have done so far...

import sqlalchemy
import pickle
import os


server = 'HostAddres'
db = 'test_db'
login =  'Username'
passwd = 'Password'
engine_str = 'mysql+pymysql://{}:{}@{}/{}'.format(login, passwd, server, db)
engine = sqlalchemy.create_engine(engine_str, echo=False, encoding='utf-8')


df.to_sql(con=engine, name = "df_test", if_exists='replace', index=False)

OperationalError: (pymysql.err.OperationalError) (1045, "Access denied for user 'USER'@'HostAdress' (using password: YES)") (Background on this error at: http://sqlalche.me/e/e3q8)

Anyone knows how to fix this or what I am doing wrong ?

Gorlomi :

the create engine string should look like:

dialect+driver://username:password@host :port /database (don't include the spaces)

so theoretically your script should be:

server = 'HostAddres'
db = 'test_db'
login =  'Username'
passwd = 'Password'

port = '8888'

engine_str = 'mysql+pymysql://{}:{}@{}:{}/{}'.format(login, passwd, server,port, db)
engine = sqlalchemy.create_engine(engine_str, echo=False, encoding='utf-8')


df.to_sql(con=engine, name = "df_test", if_exists='replace', index=False)

As for the "to_sql" part itself there seems to be nothing wrong with it.

It's probably what i said in the comments and you only need to make sure you have permission to create or modify that database.