I have created a Python script that does some calculations and then points to a DB to fill out some tables. The DB is hosted on a Ubuntu Azure VM, where I set up a MySQL database. I have been able to write tables to the DB using a local DB (in Windows) and the following code, but when I try loging into the DB using Linux and the mysql.connector package, I get a:ProgrammingError: 1045 (28000): Access denied for user 'admin'@'localhost' (using password: NO).
'admin' is the name of the Azure VM that is hosting the server. I have tried using the DB root and its p/w, as well as another DB user name & p/w combination I have created and I get the same error. Any help is kindly appreciated.
def save_df_to_mysql_db(df, database_name, table_name, username='', password='', host='', port=''): # Initialize the configparser config = configparser.ConfigParser() # Read the config.ini file config.read('config_linux.ini') # Get the database configuration values db_config = {'port': config.get('DB', 'port'),'host': config.get('DB', 'host'),'username': config.get('DB', 'username'),'password': config.get('DB', 'password') } # Connect to MySQL database conn = mysql.connector.connect(user=username, password=password, host=host, port=port, auth_plugin='mysql_native_password') cursor = conn.cursor() # Create database if it doesn't exist cursor.execute(f"CREATE DATABASE IF NOT EXISTS {database_name}") conn.database = database_name # Create SQLAlchemy engine engine = create_engine(f"mysql+mysqlconnector://{db_config['user']}:{db_config['password']}@{db_config['host']}:{db_config['port']}/{db_config['database']}") # Save DataFrame to MySQL database df.to_sql(table_name, con=engine, if_exists='replace', index=False) # Close connection cursor.close() conn.close() print(f"Dataframe {df} saved to {table_name} of {database_name}.")