- 1 year ago
Python3.6 How to setup a connection with SQLAlchemy to SQL Lite Studio?
To set up a connection with SQLAlchemy to a SQLite database, you can use the create_engine
function provided by SQLAlchemy. Here's a step-by-step guide to get you started:
Install SQLAlchemy:
Before you can use SQLAlchemy, you need to install it. Open a terminal or command prompt and run the following command:pip install sqlalchemy
Import the necessary modules in your Python script:
In your Python script, import thecreate_engine
function from SQLAlchemy.pythonfrom sqlalchemy import create_engine
Create a connection string:
The connection string tells SQLAlchemy how to connect to the SQLite database. It should start with the prefixsqlite:///
followed by the path to your SQLite database file. For example:pythonconnection_string = 'sqlite:///path/to/your/database.db'
Create the engine:
Use thecreate_engine
function to create an engine object that represents the connection to the database.pythonengine = create_engine(connection_string)
Establish a connection:
To connect to the database, call theconnect
method of the engine.pythonconnection = engine.connect()
Execute SQL queries (optional):
Now that you have a connection, you can use it to execute SQL queries. For example, to fetch data from a table:pythonresult = connection.execute('SELECT * FROM your_table_name')
for row in result:
print(row)
Close the connection:
Remember to close the connection when you are done using it.pythonconnection.close()
Here's the complete example:
pythonfrom sqlalchemy import create_engine
connection_string = 'sqlite:///path/to/your/database.db'
engine = create_engine(connection_string)
connection = engine.connect()
result = connection.execute('SELECT * FROM your_table_name')
for row in result:
print(row)
connection.close()
Replace 'path/to/your/database.db'
with the actual path to your SQLite database file, and 'your_table_name'
with the name of the table you want to query.
With these steps, you should be able to establish a connection with SQLAlchemy to your SQLite database and interact with it using SQL queries.