Using the CData ODBC Driver for Oracle Sales 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 Sales 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 Sales 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 Sales

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.

Oracle Sales uses Basic authentication over SSL; after setting the following connection properties, you are ready to connect:

• Username: Set this to the user name that you use to log into your Oracle Cloud service.
• Password: Set this to your password.
• HostURL: Set this to the Web address (URL) of your Oracle Cloud service.

Below is the syntax for a DSN:

[CData OracleSalesCloud Source]
Driver = CData ODBC Driver for Oracle Sales
Description = My Description
HostURL = https://my.host.oraclecloud.com
 Username = abc123
 Password = abcdef

Execute SQL to Oracle Sales

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 OracleSalesCloud};HostURL = https://my.host.oraclecloud.com; Username = abc123; Password = abcdef;')
cursor = cnxn.cursor()
cursor.execute("SELECT OptyId, Name FROM Opportunities WHERE CreatedBy = 'Jack'")
rows = cursor.fetchall()
for row in rows:
 print(row.OptyId, row.Name)

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