JDBC-ODBC Bridge Connector for 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.

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.

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

Download Documentation

JDBC-ODBC Bridge 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 JDBC-ODBC Bridge in other apps

Connect to JDBC-ODBC Bridge in SSIS

Connect to JDBC-ODBC Bridge in SQL Server

Connect to JDBC-ODBC Bridge in Power BI

Connect to JDBC-ODBC Bridge in SSRS

Connect to JDBC-ODBC Bridge in Informatica

Connect to JDBC-ODBC Bridge in MS Access

Connect to JDBC-ODBC Bridge in MS Excel

Connect to JDBC-ODBC Bridge in SSAS

Connect to JDBC-ODBC Bridge in C#

Connect to JDBC-ODBC Bridge in JAVA

Connect to JDBC-ODBC Bridge in Tableau

Connect to JDBC-ODBC Bridge in SAP Crystal Reports

Connect to JDBC-ODBC Bridge in Azure Data Factory (Pipeline)

Connect to JDBC-ODBC Bridge in Azure Data Factory (SSIS)

Connect to JDBC-ODBC Bridge in Talend Studio

Connect to JDBC-ODBC Bridge in UiPath

Connect to JDBC-ODBC Bridge in PowerShell

Connect to JDBC-ODBC Bridge 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

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 little steps right away:

Visit your Java application website or MVN Repository.
Download the JDBC driver, and save it locally, e.g. to D:\Drivers\JDBC\app-jdbc.jar.
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 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:

Download and install ODBC PowerPack.
Open ODBC Data Sources (x64):
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.
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"}]

Use these values when setting parameters:
- Connection string: jdbc:exampleApp://app-service-host-name.com:1234
- Driver class: com.provider.exampleApp.jdbc.AppDriver
- JDBC driver file(s): D:\Drivers\JDBC\app-jdbc.jar
- User name: admin
- User password: *************
- Connection parameters: [{"Name":"AppParameter","Value":"12345"}]
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.
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
```
```
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.
Click OK to finish creating the data source.

Video Tutorial

Watch this video on YouTube

Read data in Python

Using ODBC DSN

Python code to get the data:

JdbcOdbcBridgeDSN')
When you run the code it will make the API call and read the data:

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:

Open ODBC data source configuration and click Copy settings:

ZappySys JDBC Bridge Driver - Configuration [Version: 2.0.1.10418]

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

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:

Ensure you have Python installed on your system. If not, download it from the official Python website and follow the installation instructions.
Open your terminal or command prompt.
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.

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. ZappySys JDBC Bridge Driver allows you to connect to any Java application that supports JDBC.

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