JDBC-ODBC Bridge Connector for Python

In this article you will learn how to quickly and efficiently integrate JDBC-ODBC Bridge data in Python. We will use high-performance JDBC-ODBC Bridge Connector to easily connect to JDBC-ODBC Bridge and then access the data inside Python.

JDBC-ODBC Bridge driver can be used to consume data from any JDBC Driver in non JAVA apps (i.e. Excel, Power BI, C#). Many apps written in C++ or .net (e.g. Excel, Power BI, Informatica) which don’t have direct support for using JAVA based JDBC driver technology.

Let's follow the steps below to see how we can accomplish that!

Download Documentation

Prerequisites

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

If you already have a JRE installed, you can try using it too. However, if you experience any issues, we recommend using one of the distributions mentioned above (you can install an additional JRE next to the existing one; just don't forget to configure the default Java in the Windows Environment Variables).

Download your Java application JDBC driver

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

  1. Visit Maven Repository portal, which is a central location for downloading Java libraries.
  2. Download your Java application JDBC driver matching your running instance version and save it locally, e.g. to D:\Drivers\JDBC\app-jdbc.jar.
  3. Done! That was easy, wasn't it? Let's proceed to the next step.
It is recommended to use JDBC driver compiled for Java 8, if possible.

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

Step-by-step instructions

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

  1. Install ZappySys ODBC PowerPack.

  2. Open ODBC Data Sources (x64):

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

    ZappySys JDBC Bridge Driver
    Create new User DSN for 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:

    JdbcOdbcBridgeDSN
    jdbc:exampleApp://app-service-host-name.com:1234
    com.provider.exampleApp.jdbc.AppDriver
    D:\Drivers\JDBC\app-jdbc.jar
    admin
    *************
    [{"Name":"AppParameter","Value":"12345"}]
    JDBC-ODBC Bridge driver data source settings
    ZappySys JDBC Bridge Driver allows you to connect to any Java application that supports JDBC.
  5. You should see a message saying that connection test is successful:

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

    JdbcOdbcBridgeDSN
    SELECT * FROM orders
    JDBC ODBC Bridge data source preview
    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 instructions

Read data in Python

Using ODBC DSN

  1. Python code to get the data:

    JdbcOdbcBridgeDSN')
    Python code to get the data from ZappySys DSN

  2. When you run the code it will make the API call and read the data:
    Python - Extracted data from ZappySys DSN

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

    
        import pyodbc
        conn = pyodbc.connect('DSN=JdbcOdbcBridgeDSN')
    
        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 - JDBC-ODBC Bridge
    JDBC-ODBC Bridge driver can be used to consume data from any JDBC Driver in non JAVA apps (i.e. Excel, Power BI, C#). Many apps written in C++ or .net (e.g. Excel, Power BI, Informatica) which don’t have direct support for using JAVA based JDBC driver technology.
    JdbcOdbcBridgeDSN
    Copy connection string for ODBC application
  2. The window opens, telling us the connection string was successfully copied to the clipboard: Successful connection string copying for ODBC application
  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?

You would need to install pyodbc in Python if you intend to establish connections to databases that support ODBC (Open Database Connectivity). This module facilitates communication between Python applications and various database management systems, enabling you to perform operations such as querying, retrieving data, and managing databases. Here's how you can install pyodbc in Python:

Installation Steps:

  1. Ensure you have Python installed on your system. If not, download it from the official Python website and follow the installation instructions.

  2. Open your terminal or command prompt.

  3. Use the following command to install pyodbc using pip, the Python package installer:

    python -m pip install "pyodbc"

    Make sure you have a stable internet connection and the necessary permissions to install Python packages.


    Python - pip install pyodbc

Reasons to Install:

  • If pyodbc is not installed, your Python script will generate the following error:
    "ModuleNotFoundError: No module named 'pyodbc'"
    .
  • Database Connectivity: pyodbc allows Python to connect to various databases that support ODBC, such as Microsoft SQL Server, PostgreSQL, MySQL, and more.

  • Data Operations: It facilitates the execution of SQL queries, retrieval of data, and other database operations from within Python scripts.

  • Cross-Platform Support: pyodbc is designed to work across different operating systems, including Windows, macOS, and various Linux distributions.

  • Simplicity and Efficiency: The module provides an intuitive interface for managing database transactions and connections, simplifying the process of working with databases in Python.

By installing pyodbc, you can seamlessly integrate your Python applications with a wide range of ODBC-supported databases, enabling efficient and effective data management and analysis.

Conclusion

In this article we showed you how to connect to JDBC-ODBC Bridge in Python and integrate data without any coding, saving you time and effort. We encourage you to download JDBC-ODBC Bridge 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 JDBC-ODBC Bridge Connector for Python Documentation

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