Why Does Pandas to_sql Show a SQLite Error When Writing to MySQL?

Writing to MySQL Database with Pandas and SQLAlchemy's to_sql

When attempting to write a Pandas dataframe to a MySQL table using the to_sql method, users may encounter an error suggesting that SQLite is being used. This behavior is commonly caused when the SQLAlchemy engine is improperly configured for MySQL.

Correct Use of SQLAlchemy Engine for MySQL with mysql.connector

To establish a proper connection to a MySQL database using SQLAlchemy and the mysql.connector module, the following steps are necessary:

1. Import the necessary modules:

   import pandas as pd
   import mysql.connector
   from sqlalchemy import create_engine

2. Create an SQLAlchemy engine:

   engine = create_engine('mysql+mysqlconnector://[user]:[pass]@[host]:[port]/[schema]', echo=False)

   Replace [user], [pass], [host], [port], and [schema] with your MySQL credentials and database information.

3. Use the engine as the connection parameter for to_sql:

   data.to_sql(name='sample_table2', con=engine, if_exists='append', index=False)

Troubleshooting:

If you previously attempted this method and encountered an error referencing a missing cursor object, ensure that you are using the engine, rather than the raw connection, as the connection parameter. The correct syntax is shown above.

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