Using the CData ODBC Driver for Streak in PyCharm

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Streak ODBC Driver

The Streak ODBC Driver is a powerful tool that allows you to connect with live data from Streak, directly from any applications that support ODBC connectivity.

Access Streak data like you would a database - read, write, and update Streak Contacts, Pipelines, Tasks, etc. through a standard ODBC Driver interface.



Connect to Streak as an ODBC data source in PyCharm using the CData ODBC Driver for Streak.

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 Streak 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 Streak 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 Streak

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.

Use the following steps to generate a new API key for authenticating to Streak.

  1. Navigate to Gmail
  2. Click on the Streak dropdown to the right of the search bar
  3. Select the Integrations button. This will open a window where you can view existing integrations and create new API keys.
  4. Under the Streak API section of integrations, click the button to Create New Key.

Below is the syntax for a DSN:

[CData Streak Source] Driver = CData ODBC Driver for Streak Description = My Description ApiKey = 8c84j9b4j54762ce809ej6a782d776j3

Execute SQL to Streak

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 Streak};ApiKey = 8c84j9b4j54762ce809ej6a782d776j3;') cursor = cnxn.cursor() cursor.execute("SELECT UserKey, Email FROM Users WHERE Email = 'user@domain.com'") rows = cursor.fetchall() for row in rows: print(row.UserKey, row.Email)

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