Python JDBC-ODBC Bridge Connector In this article you will learn how to integrate JDBC-ODBC Bridge data to Python (live / bi-directional connection to 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.. Using JDBC-ODBC Bridge Connector you will be able to connect, read, and write data from within Python. Follow the steps below to see how we would accomplish that. Download  Help File  Buy  Driver mentioned in this article is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

See also Connect JDBC-ODBC Bridge in SSIS Connect JDBC-ODBC Bridge in SQL Server Connect JDBC-ODBC Bridge in Power BI Connect JDBC-ODBC Bridge in SSRS Connect JDBC-ODBC Bridge in Informatica Connect JDBC-ODBC Bridge in MS Access Connect JDBC-ODBC Bridge in MS Excel Connect JDBC-ODBC Bridge in SSAS Connect JDBC-ODBC Bridge in C# Connect JDBC-ODBC Bridge in JAVA Connect JDBC-ODBC Bridge in Tableau Connect JDBC-ODBC Bridge in SAP Crystal Reports Connect JDBC-ODBC Bridge in Azure Data Factory (ADF) Connect JDBC-ODBC Bridge in ODBC

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

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

1. Install ZappySys 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

   
   You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.

4. Now, we need JDBC Bridge Connection. Lets create it. When you see DSN Config Editor with zappysys logo first thing you need to do is change default DSN Name at the top and Configure JDBC Bridge Driver. Enter Credentials (In this Example We have used PostgreSQL Credentials) and then Click on Test Connection to verify your credentials.

   Note: Enter suitable JDBC Driver Credentials, You can read data from any JDBC Driver
   

5. This example shows how to write simple SOQL query (JDBC Bridge Object Query Language). It uses WHERE clause. For more SOQL Queries click here.
   SOQL is similar to database SQL query language but much simpler and many features you use in database query may not be supported in SOQL (Such as JOIN clause not supported). But you can use following Queries for Insert, Update, Delete and Upsert(Update or Insert record if not found).

   SELECT orderid, customerid, orderdate, orderamount FROM "public"."zappysys"
   

6. Click OK to finish creating the data source

Read data in Python from the DSN

1. Python code to get the data:
   

   JdbC-OdbcBridgeDSN')

   

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=JdbC-OdbcBridgeDSN')
   
       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)
   

4. If you want to avoid to be dependent on a DSN name 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 . 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 get ZappySys Driver Connection String?

   Please follow the instructions below to retrieve the connection string for the ZappySys driver.

   1. Click on the Windows Start menu.

   2. In the search bar, type ODBC and press Enter.

   3. From the search results, choose ODBC Data Sources or ODBC Data Sources (32-bit) or a similar option depending on your system architecture and ODBC driver configuration.

   4. Choose your data source from the list, then click on the Configure button.
   5. After opening the Data Source UI, you should copy the connection string to a Notepad or text file for reference.
   6. Click on Copy Connection String button.
      When you click 'Copy Connection String,' you may encounter the following option:
      Choose the third option All Settings to copy everything and click on OK button.
      
      

   That's it connection string has been successfully copied.

How to install `pyodbc` in the Python?

Conclusion

In this article we discussed how to connect to JDBC-ODBC Bridge in Python and integrate data without any coding. Click here to Download JDBC-ODBC Bridge Connector for Python and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download JDBC-ODBC Bridge Connector for Python Documentation 

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