A TmaxSoft Tibero dialect for SQLAlchemy.
This dialect is mainly intended to offer
pandas users an easy way to save a DataFrame into an
Tibero database via to_sql.
This dialect requires SQLAlchemy and pyodbc. They are both specified as requirements so pip will install
them if they are not already in place. To install, just:
pip install sqlalchemy-tibero
Create an `ODBC DSN (Data Source Name)`_ that points to your Tibero database. (Tip: For best results, enable `ExtendedAnsiSQL`_.) Then, in your Python app, you can connect to the database via:
from sqlalchemy import create_engine
engine = create_engine("tibero+pyodbc://@your_dsn")
SQLAlchemy-tibero is part of the SQLAlchemy Project and adheres to the same standards and conventions as the core project.
Please refer to the SQLAlchemy Community Guide for guidelines on coding and participating in this project.
Above all, SQLAlchemy places great emphasis on polite, thoughtful, and constructive communication between users and developers. Please see our current Code of Conduct at Code of Conduct.
SQLAlchemy-tibero is distributed under the MIT license.