![]() The Engine expects a Database URL as input during instantiation. As of the posting of this answer, Flask-SQLAlchemy allows you to modify some of these options using the configuration file (although it appears there is an old pull request to allow you to specify ANY createengine parameter ). ![]() ![]() This is provided by SQLAlchemy by default. The following architecture diagram illustrates the structure (). So, yes, there is automatic connection pooling. These in turn work with DBAPI behind the scenes to translate data to and from our app/database. The engine internally references a Dialect object that handles communication and a Pool object that handles connections. At a high level, the engine takes input from our Python application and processes the information and converts it into output understood by our SQL database. The Engine is at the heart of the SQLAlchemy library. In this tutorial, we will look at how you can use Flask-SQLAlchemy with your AWS RDS database. It provides a clean interface for defining database schemas and mapping between those schemas and Python classes. SQLAlchemy is a powerful tool for building object oriented applications. In other words, it helps programmers build applications that interact with databases. SQLAlchemy is a Python library designed to simplify data access and manipulation.
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