MariaDB Connector/Python

Python developers can now connect to MariaDB Platform X4 through a native MariaDB Connector. Using MariaDB Connector/Python you can connect to MariaDB Platform to use and administer databases from within your Python application.


MariaDB Connector/Python is available through PyPI. It requires Python 3.6 or later and MariaDB Connector/C 3.1.5 or later.

To install MariaDB Connector/Python from PyPI, use the pip3 command:

$ pip3 install --pre mariadb

Note, MariaDB Connector/Python is an alpha release and requires the --pre option to install.

As an alternative method to PyPI, you can download MariaDB Connector/Python as a .tar.gz and install it on your local system.


MariaDB Connector/Python allows you to establish client connections from within your Python applications. These client connections can be made to MariaDB Platform components, such as MariaDB Enterprise Server or MariaDB MaxScale, or to other compatible services.

Connections are created using the mariadb.connect() function. This function returns an instance of the connection class.

To connect to MariaDB Platform, use the connect() function with the relevant attributes.

# Module Imports
import mariadb
import sys

# Instantiate Connection
   conn = mariadb.connect(
except mariadb.Error as e:
   print(f"Error connecting to MariaDB Platform: {e}")

Here, the mariadb package is imported with the sys package (to handle the exit in the event that the connection fails). The connection attributes are passed as keyword arguments to the connect() function. The connect() function returns a connection object, assigned to the conn variable.


Instantiating the connection class creates a single connection to MariaDB Platform. Applications that require multiple connections may benefit from pooling connections.

Closing Connections

MariaDB Connector/Python closes the connection as part of the object destruction method when it leaves the scope, such as when the program exits or the current function returns a value other than the connection instance.

To explicitly close the connection to MariaDB Platform, call the close() method on the connection:

# Close Connection

Basic Operations

Instances of the connection class handle the connection between your Python application and MariaDB Platform. To interact with and manage databases on MariaDB Platform, you must instantiate a cursor in your code.

# Instantiate Cursor
cur = conn.cursor()

The cursor provides methods for interacting with data from Python code. The cursor provides two methods for executing SQL code:




Executes a single SQL statement.


Executes the given SQL statement for each tuple in a list.

Adding Data

MariaDB Connector/Python adds data to the database using the execute() or executemany() methods with INSERT statements.

# Adds contact
def add_contact(cur, first_name, last_name, email):
   """Adds the given contact to the contacts table"""

   cur.execute("INSERT INTO users.contacts(first_name, last_name, email) VALUES (?, ?, ?)",
      (first_name, last_name, email))

Here, the execute() method is called on the cursor to add contacts to a user database. Note that the method passes in the values through a tuple, with a question mark ? marking each entry.

To add multiple rows together, you can use the executemany() method:

# Add Multiple Rows
def add_multiple_contacts(cur, data):
   """Adds multiple contacts to database from given data"""

   cur.executemany("INSERT INTO users.contacts(first_name, last_name, email) VALUES (?, ?, ?)",

# Initialize Data
data = [
   ("Howard", "Lovecraft", ""),
   ("Flannery", "O'Connor", ""),
   ("Walker", "Percy", "")

add_multiple_contacts(cur, data)

Here, for each tuple in the data list, the cursor executes an INSERT statement.

Retrieving Data

MariaDB Connector/Python retrieves data using the execute() or executemany() method with a SELECT statement. The cursor stores the results of queries internally and can be retrieve using a for loop, or fetchall() and related methods.

For instance, retrieving the contacts list from the database, this function formats the first name, last name, and email into a line and then prints the results to stdout:

# Print List of Contacts
def print_contacts(cur):
   """Retrieves the list of contacts from the database and prints to stdout"""

   # Initialize Variables
   contacts = []

   # Retrieve Contacts
   cur.execute("SELECT first_name, last_name, email FROM users.contacts")

   # Prepare Contacts
   for (first_name, last_name, email) in cur:
      contacts.append(f"{first_name} {last_name} <{email}>")

   # List Contacts

Here, the cursor executes a SELECT statement to retrieve data from MariaDB Platform. Once the query executes, it loops over the result-set, formatting each for printing.

Note that queries return a list of rows, where each row is a tuple.

Replacing Data

MariaDB Connector/Python handles replacing rows in a table using the execute() or executemany() method with REPLACE statements.

For instance, this function replaces a row with the given Primary Key with new data:

# Replace Contact
def replace_contact(cur, contact_id, first_name, last_name, email):
   """Replaces contact with the given `contact_id` with new values"""

   cur.execute("REPLACE INTO users.contacts VALUES (?, ?, ?, ?)",
      (contact_id, first_name, last_name, email))

Here, the function executes a REPLACE statement. If the given contact_id exists in the table, it replaces it with the new values.

Updating Data

MariaDB Connector/Python handles updating rows in a table using the execute() or executemany() method with UPDATE statements.

For instance, this function updates the last name of the contact with the given email address:

# Update Last Name
def update_last_name(cur, email, last_name):
   """Updates last name of a contact in the table"""

   cur.execute("UPDATE users.contacts SET last_name=? WHERE email=?",
      (last_name, email))

Removing Data

MariaDB Connector/Python removes rows from a table using the execute() or executemany() method with DELETE statements.

For instance, this function removes contacts from the table:

# Remove Contact from Database
def remove_contact(cur, email):
   """Removes contacts from the database"""

   cur.execute("DELETE FROM users.contacts WHERE email = ?", (email, ))

Here, the function removes all contacts that share the given email address.

To remove all data from a table, you can do so using the TRUNCATE statement.

# Truncate Contacts
def truncate_contacts(cur):
   """Removes all data from contacts table"""

   cur.execute("TRUNCATE users.contacts")


By default, the connection class is configured to auto-commit SQL statements. In cases where you would like to manage transactions from your application, set the autocommit configuration value to False:

# Disable Auto-commit
conn.autocommit = False

In addition to the transaction support available in MariaDB SQL (through BEGIN, ROLLBACK, and COMMIT statements), the connection class also provides methods for committing and rolling back transactions.

# Close Connection
def close(conn):
   """Commit open transactions and close connections,
   if commit encounters conflicts, roll back transaction."""

   except Exception as e:
      print(f"Error commiting transaction: {e}")


   # Close Connection

Connection Pooling

Connection pools enable reuse of database connections to minimize the performance overhead of connecting to the database and the churn of opening and closing connections.

Connection pools hold connections open in a pool. When a process is done with the connection, it is returned to the pool rather than closed, allowing MariaDB Connector/Python to reacquire a connection as need.

Creating Connection Pools

Connection pools are created by instantiating the ConnectionPool class in your Python code.

Each pool is given a name, which MariaDB Connector/Python uses to identify the connections to MariaDB Platform as part of the pool.

The number of connections available in a pool is controlled by the pool_size attribute. You can set the size of the pool when you create it, but not after. Set it to the number of concurrent connections you expect your application to need.

Here, a connection pool is instantiated with twenty connections on the pool variable:

# Module Imports
import mariadb

# Create Connection Pool
pool = mariadb.ConnectionPool(

Getting Connections

When working with a connection pool, connections are retrieved from the pool rather than by creating a new instance of the connection class.

To establish a connection from the pool, use the get_connection() method:

# Establish Pool Connection
    pconn = pool.get_connection()

except mariadb.PoolError as e:

   # Report Error
   print(f"Error opening connection from pool: {e}")

   # Create New Connection as Alternate
   pconn = mariadb.connection(

Here, the method returns a connection instance from the pool, which is assigned to the pconn variable.

When the connection pool has reached the maximum pool size, the get_connection() method raises a PoolError exception. In the example, when this exception is raised the application instead creates a new connection to MariaDB Platform.

Once you have a connection instance from the connection pool, you can retrieve the cursor using the cursor() method:

# Get Cursor
cur = pconn.cursor()

cur.execute("SELECT first_name, last_name, email FROM users.contacts")

for (first_name, last_name, email) in cur:
   print(f"{first_name} {last_name} <{email}>")

Closing Connections

Closing connections from a connection pool returns the connection to the pool where it becomes available to other threads.

Connections retrieved from a connection pool can be closed using the close() method:

# Return Connection to Pool

Unlike normal connections, closing a connection from a connection pool does not close it altogether. Instead the connection is returned to the pool, where it becomes available to other threads.

Adding Connections

In cases where you configure the connection pool using set_config(), you need to add connections to the pool through the add_connection() method.

# Module Import
import mariadb

# Create Connection Pool
def create_connection_pool():
   """Creates and returns a Connection Pool"""
   pool = mariadb.ConnectionPool(pool_name="web-app")

   # Configure Connection Pool

   # Return Connection Pool
   return pool

# Add Connection to Pool
def add_connection(pool):
   """Adds a connection to the connection pool"""
   conn = None

   except mariadb.PoolError as e:

      conn = pool.get_connection()
   except mariadb.PoolError as e:
      print(f"No pool connection available: {e}")

      # Create Fallback Connection
      conn = mariadb.connection(

   # Return Connection
   return conn

When the connection pool has reached the maximum pool size, the add_connection() method raises a PoolError exception.

Field Information

MariaDB Connector/Python provides the fieldinfo class for retrieving data type and flag information on table columns in the database.

For instance, to print the field information on each table in the database, you could loop over the SHOW TABLES statement and then loop over the description from a SELECT statement run against each table:

# Module Imports
import mariadb

# Initialize Variables
database_info = []
field_info = mariadb.fieldinfo()

# Get Table List
cur.execute("SHOW TABLES")

for (table,) in cur.fetchall():

   # Fetch Table Information
   cur.execute(f"SELECT * FROM {table} LIMIT 1")

   table_info = [f"{conn.database}.{table}"]

   # Retrieve Column Information
   for column in cur.description:
      column_name = column[0]
      column_type = field_info.type(column)
      column_flags = field_info.flag(column)

      table_info.append("f{column_name}: {column_type} {column_flags}")

   # Log Table Info
   database_info.append("\n - ".join(table_info))

# Report

Here, the cursor runs SHOW TABLES to retrieve the table names in the current database. The first loop calls the fetchall() method retrieving all rows from the cursor to make room for the subsequent queries.

For each table in the database, the cursor executes a SELECT statement with a LIMIT clause to retrieve the column information. It then uses the fieldinfo methods to get the data type and flags from each column and constructs a block of text for the table. Lastly, it prints the data to stdout.