Using the CData ODBC Driver for HarperDB in PyCharm

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for HarperDB from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for HarperDB as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

1. Click File -> Settings to open the project settings window.
2. Click Project Interpreter from the Project: YourProjectName menu.
3. To add pyodbc, click the + button and enter pyodbc.
4. Click Install Package to install pyodbc.

Connect to HarperDB

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

Set the Server, User, and Password connection properties to connect to HarperDB. Set UseSSL to secure connections with TLS/SSL.

Below is the syntax for a DSN:

[CData HarperDB Source]
Driver = CData ODBC Driver for HarperDB
Description = My Description
Server = 127.0.0.1
User = admin
Password = 1234

Execute SQL to HarperDB

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc

cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for HarperDB};Server = 127.0.0.1;User = admin;Password = 1234;')
cursor = cnxn.cursor()
cursor.execute("SELECT City, CompanyName FROM Customers WHERE Country = 'US'")
rows = cursor.fetchall()
for row in rows:
 print(row.City, row.CompanyName)

After connecting to HarperDB in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to HarperDB data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].