Use the CData ODBC Driver for Gumroad in SAS for Real-Time Reporting and Analytics

SAS is a software suite developed for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. When you pair SAS with the CData ODBC Driver for Gumroad, you gain database-like access to live Gumroad data from SAS, expanding your reporting and analytics capabilities. This article explains how to create a library for Gumroad in SAS and create a simple report based on real-time Gumroad data.

The CData ODBC Driver offers unmatched performance for interacting with live Gumroad data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to Gumroad, the driver pushes supported SQL operations, like filters and aggregations, directly to Gumroad and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can easily visualize and analyze Gumroad data in SAS.

Connect to Gumroad as an ODBC Data Source

Information for connecting to Gumroad follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for Gumroad must be installed on the machine hosting the SAS System).

Using OAuth Authentication

To authenticate to Gumroad and connect to your own data or to allow other users to connect to their data, you can use the OAuth 2.0 standard. This is the recommended authentication method.

First you need to register an OAuth application with Gumroad. You can create an OAuth application by visiting your Gumroad account settings at https://app.gumroad.com/settings/advanced and navigating to the Applications section.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to OAuth.
• InitiateOAuth: Set this to GETANDREFRESH. The CData API Profile for Gumroad will automatically walk through the OAuth process in order to obtain the access token.
• OAuthClientID: Set this to the client_id that is specified in your app settings.
• OAuthClientSecret: Set this to the client_secret that is specified in your app settings.
• CallbackURL: Set this to the Redirect URI you specified in your app settings.

Example connection string

Profile=C:\profiles\Gumroad.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Windows

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Linux

If you are installing the CData ODBC Driver for Gumroad in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData API Sys]
Driver = CData ODBC Driver for Gumroad
Description = My Description
Profile = C:\profiles\Gumroad.apip
AuthScheme = OAuth
InitiateOAuth = GETANDREFRESH
OAuthClientId = your_client_id
OAuthClientSecret = your_client_secret
CallbackUrl = your_callback_url

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Create a Gumroad Library in SAS

Connect to Gumroad in SAS by adding a library based on the CData ODBC Driver for Gumroad.

1. Open SAS and expand Libraries in the Explorer pane.
2. In the Active Libraries window, right-click and select New.
3. Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
4. Set Data Source to the DSN you previously configured and click OK. 👁 Creating a library for Gumroad in SAS.
   

Create a View from a Gumroad Query

SAS natively supports querying data either using a low-code, point-and-click Query tool or programmatically with PROC SQL and a custom SQL query. When you create a View in SAS, the defining query is executed each time the view is queried. This means that you always query live Gumroad data for reports, charts, and analytics.

Using the Query Tool

1. In SAS, click Tools -> Query
2. Select the table sources and the table(s) you wish to pull data from. Then, click OK. 👁 Selecting table(s) to visualize.
   
3. Select columns and right-click to add filtering, ordering, grouping, etc. 👁 Selecting columns(s) to visualize and configuring the query.
   
4. Create a local view to contain the query results by right-clicking the SQL Query Tool window, selecting Show Query, and clicking Create View. Name the View and click OK. 👁 Create a local view to work with Gumroad data.
   

Using PROC SQL

1. In SAS, navigate to the Editor window.
2. Use PROC SQL to query the data and create a local view.
   NOTE: This procedure creates a view in the Work library. You can optionally specify a library in the create view statement.

   proc sql;
    create view customfields_view as
    select 
    , 
    
    from 
    odbclib.customfields 
    where 
    ProductId = 'prod_abc123xyz';
   quit;
   

3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize Gumroad Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Gumroad data using the powerful SAS features. Print a simple report using PROC PRINT and create a basic graph based on the data using PROC GCHART.

Print an HTML Report

1. In SAS, navigate to the Editor window.
2. Use PROC PRINT to print an HTML report for the Gumroad CustomFields data.

   proc print data=customfields;
    title "Gumroad CustomFields Data";
   run;
   

   👁 A simple Gumroad data report.
   

Print a Chart

1. In SAS, navigate to the Editor window.
2. Use PROC GCHART to create a chart for the CustomFields data.

   proc gchart data=customfields;
    pie / sumvar=
    value=arrow
    percent=arrow
    noheading
    percent=inside plabel=(height=12pt)
    slice=inside value=none
    name='CustomFieldsChart';
   run;
   

   👁 A simple Gumroad data chart.