To create a global database connection that you can use in your tasks or flows, you should consider using Prefect's integration with SQLAlchemy. You can manage this by leveraging the

SqlAlchemyConnector

block. Here’s a high-level approach to how you can create such a connection: 1. Define your database connection credentials using

SqlAlchemyConnector

. 2. Utilize the connection by loading the credentials block you created and using it within a context manager to ensure the connection is closed properly when the block of code is exited. For example:

python
from prefect_sqlalchemy import SqlAlchemyConnector

# Load stored database credentials
with SqlAlchemyConnector.load("MY_BLOCK") as database:
    # Use the database connection
    database.execute("CREATE TABLE IF NOT EXISTS customers (name varchar, address varchar);")
    # ... Other database operations

It is recommended that the

SqlAlchemyConnector

block is loaded and consumed within a single task or flow because if the block is passed across separate tasks and flows, the state of the block's connection and cursor could be lost. You can find more detailed examples and documentation here: - Prefect SQLAlchemy Examples Catalog - Prefect SQLAlchemy Database Tasks Remember that for all db operations, you should manage the connections and sessions carefully to prevent leaks and other issues that can arise from improper handling of persistent connections. Below is an additional code example of a basic flow:

python
from prefect import flow

@flow(log_prints=True)
def my_workflow():
    print("I can call any python code here, including prefect tasks or flows")

if __name__ == "__main__":
    my_workflow() # call it like a normal python function

You can integrate the database connections within such flows accordingly. For more detailed guidance, please visit the provided links or let me know if you need further assistance.