How to build an SQLAlchemy engine that uses psycopg3 as its foundation?

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To build an SQLAlchemy engine that uses psycopg3 as its foundation, follow these steps:

1. Install psycopg3: First, install psycopg3 using pip with the following command:

pip install psycopg3

1. Import SQLAlchemy and psycopg3: Import SQLAlchemy and psycopg3 in your Python script as follows:

import sqlalchemy as db
import psycopg3

1. Create a database URL: Next, create a database URL that contains the details of the PostgreSQL server that you want to connect to. The database URL has the following format:

postgresql+psycopg3://<username>:<password>@<host>:<port>/<database>

• <username>: The username of the PostgreSQL account that you want to use to connect to the server.
• <password>: The password of the PostgreSQL account.
• <host>: The hostname or IP address of the PostgreSQL server.
• <port>: The port number on which the PostgreSQL server is listening.
• <database>: The name of the database that you want to connect to.

db_url = 'postgresql+psycopg3://<username>:<password>@<host>:<port>/<database>'

1. Create the engine: Now, create the SQLAlchemy engine by passing the database URL to the create_engine function.

engine = db.create_engine(db_url)

1. Connect to the database: Use the connect method of the engine object to connect to the PostgreSQL server.

conn = engine.connect()

You can now use the conn object to execute SQL queries against the PostgreSQL database.