MariaDB Connector for Python The MariaDB Connector enables you to connect to MariaDB, a very powerful relational database engine, whether it's the free and open-source Community Server or Enterprise Platform. In this article you will learn how to quickly and efficiently integrate MariaDB data in Python. We will use high-performance MariaDB Connector to easily connect to MariaDB and then access the data inside Python. Let's follow the steps below to see how we can accomplish that! Download Documentation MariaDB Connector for Python is based on ZappySys JDBC Bridge Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Connect to MariaDB in other apps Connect to MariaDB in SSIS Connect to MariaDB in SQL Server Connect to MariaDB in Power BI Connect to MariaDB in SSRS Connect to MariaDB in Informatica Connect to MariaDB in MS Access Connect to MariaDB in MS Excel Connect to MariaDB in SSAS Connect to MariaDB in C# Connect to MariaDB in JAVA Connect to MariaDB in Tableau Connect to MariaDB in SAP Crystal Reports Connect to MariaDB in Azure Data Factory (Pipeline) Connect to MariaDB in Azure Data Factory (SSIS) Connect to MariaDB in Talend Studio Connect to MariaDB in UiPath Connect to MariaDB in PowerShell Connect to MariaDB in ODBC

Prerequisites

Before we begin, make sure you meet the following prerequisite:

• Java 8 Runtime Environment (JRE) installed. It is recommended to use these distributions:

  • Amazon Corretto 8
  • Oracle JRE 8

Download MariaDB JDBC driver

To connect to MariaDB in Python, you will have to download JDBC driver for it, which we will use in later steps. Let's perform these little steps right away:

1. Visit MariaDB website.
2. Follow the instructions there, download the JDBC driver, and save it locally, e.g. to D:\Drivers\JDBC\mariadb-java-client.jar.
   It is recommended to use JDBC driver compiled for Java 8, if possible.
3. Done! That was easy, wasn't it? Let's proceed to the next step.

Create ODBC Data Source (DSN) based on ZappySys JDBC Bridge Driver

Step-by-step instructions

To get data from MariaDB using Python we first need to create a DSN (Data Source) which will access data from MariaDB. We will later be able to read data using Python. Perform these steps:

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys JDBC Bridge Driver

   ZappySys JDBC Bridge Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.

4. Now, we need to configure the JDBC connection in the new ODBC data source. Simply enter the Connection string, credentials, configure other settings, and then click Test Connection button to test the connection:

   MariadbDSN

   jdbc:mariadb://mariadb-instance-host-name:3306/MyDatabase

   D:\Drivers\JDBC\mariadb-java-client.jar

   root

   ****************

   []

   

   Use these values when setting parameters:

   • Connection string: jdbc:mariadb://mariadb-instance-host-name:3306/MyDatabase
   • JDBC driver file(s): D:\Drivers\JDBC\mariadb-java-client.jar
   • User name: root
   • User password: ****************
   • Connection parameters: []

5. You should see a message saying that connection test is successful:

   

   Otherwise, if you are getting an error, check out our Community for troubleshooting tips.

6. We are at the point where we can preview a SQL query. For more SQL query examples visit JDBC Bridge documentation:

   MariadbDSN

   SELECT * FROM orders

   

   SELECT * FROM orders

   You can also click on the <Select Table> dropdown and select a table from the list.

   The ZappySys JDBC Bridge Driver acts as a transparent intermediary, passing SQL queries directly to the Trino JDBC driver, which then handles the query execution. This means the Bridge Driver simply relays the SQL query without altering it.

   Some JDBC drivers don't support INSERT/UPDATE/DELETE statements, so you may get an error saying "action is not supported" or a similar one. Please, be aware, this is not the limitation of ZappySys JDBC Bridge Driver, but is a limitation of the specific JDBC driver you are using.

7. Click OK to finish creating the data source.

Video Tutorial

Read data in Python

Using ODBC DSN

1. Python code to get the data:
   

   MariadbDSN')

   

2. When you run the code it will make the API call and read the data:
   

3. Here is Python program's code in text format:

   
       import pyodbc
       conn = pyodbc.connect('DSN=MariadbDSN')
   
       cursor = conn.cursor()
   
       #execute query to fetch data from API service
       cursor.execute("SELECT id,title FROM products")
   
       row = cursor.fetchone()
       while row:
           print(row)
           row = cursor.fetchone()
   
       ##For loop example
       #for row in cursor:
       #    print(row)
   

Using a full ODBC connection string

If you want to avoid being dependent on a DSN and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String:

1. Open ODBC data source configuration and click Copy settings:
   

   ZappySys JDBC Bridge Driver - MariaDB

   The MariaDB Connector enables you to connect to MariaDB, a very powerful relational database engine, whether it's the free and open-source Community Server or Enterprise Platform.

   MariadbDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:

3. Then in your Python code use Connection String when initializing OdbcConnection object, for example:

   conn = pyodbc.connect('DRIVER={ZappySys JDBC Bridge Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')

How to install `pyodbc` in the Python?

Conclusion

In this article we showed you how to connect to MariaDB in Python and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys JDBC Bridge Driver allows you to connect not only to MariaDB, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download MariaDB Connector for Python and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download MariaDB Connector for Python Documentation

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