Using the CData ODBC Driver for Oracle HCM Cloud 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 Oracle HCM Cloud 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 Oracle HCM Cloud 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 Oracle HCM Cloud

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.

Using Basic Authentication

You must set the following to authenticate to Oracle HCM Cloud:

• Url: The Url of your account.
• User: The user of your account.
• Password: The password of your account.

Below is the syntax for a DSN:

[CData OracleHCM Source]
Driver = CData ODBC Driver for Oracle HCM Cloud
Description = My Description
Url = https://abc.oraclecloud.com
User = user
Password = password

Execute SQL to Oracle HCM Cloud

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 OracleHCM};Url = https://abc.oraclecloud.com;User = user;Password = password;')
cursor = cnxn.cursor()
cursor.execute("SELECT SiteId, SiteName FROM RecruitingCESites WHERE Language = 'English'")
rows = cursor.fetchall()
for row in rows:
 print(row.SiteId, row.SiteName)

After connecting to Oracle HCM Cloud in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Oracle HCM Cloud 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].