devart-sqlite-connector

Python Connector for SQLite

Python Connector for SQLite is a connectivity solution for accessing SQLite databases from Python applications. It fully implements the Python DB API 2.0 specification. The connector is distributed as a wheel package for Windows, macOS, and Linux.

Direct connection

The connector supports two SQLite library linking modes: static linking and dynamic linking. Static linking enables a direct connection to SQLite, so you don't have to deploy the SQLite libraries on user workstations. You can use the built-in encryption capabilities in the Direct mode to protect your data from unauthorized access?the statically linked library provides SQLite database encryption without requiring you to purchase an encryption extension.

Connecting

To establish a connection to an SQLite database, import the connector and use the connect() method with your connection parameters.

Import the connector

First, import the SQLite connector module:

import devart.sqlite

Establish a connection

Connect to a database using the connect() module method and obtain a connection object.

You can connect in Direct mode or by using a dynamically linked SQLite client library.

Direct mode

In Direct mode, the connector works without requiring an external SQLite client library. Provide the path to your database file:

my_connection = sqlite.connect(
    Direct=True,
    Database="your_database"
)

Replace the example value with the path to your actual database file.

Dynamically linked SQLite client library

You can also connect using a dynamically linked SQLite client library. Provide the path to the client library file along with the database file:

my_connection = devart.sqlite.connect(
    Direct=False,
    Database="your_database",
    ClientLibrary="your_sqlite_lib"
)

Replace the example values with your actual database and client library paths.

Querying data

Once connected to SQLite, you can execute SQL queries to retrieve data from your SQLite database.

Execute a query

Create a cursor object using the cursor() connection method.

my_cursor = my_connection.cursor()

Execute a SQL query using the execute() cursor method.

my_cursor.execute("SELECT * FROM employees")

Retrieve results using one of the fetch*() methods.

for row in my_cursor.fetchall():
    print(row)

Parameterized queries

You can use parameterized queries to pass variable values to your SQL statements. This allows you to reuse the same query with different data and helps to prevent SQL injection attacks.

Pass parameters as a list or tuple to the

execute()

method:

query = "SELECT Id, Name FROM Contact WHERE Name = ? AND Email = ?"
params = ["Jordan Sanders", "[e-mail]"]
my_cursor.execute(query, params)
results = my_cursor.fetchall()
for row in results:
    print(row)

Each placeholder ? in the query is replaced with a corresponding value from the parameter list.

Ordering and activating the license

You can purchase a license for the connector on the ordering page:
https://www.devart.com/python/sqlite/ordering.html

To activate the license, follow the instructions in the documentation:
https://docs.devart.com/python/sqlite/activate-a-license.htm

What's new

Python Connector for SQLite 1.3

• Added support for Python 3.14