Automated Continuous Gumroad Replication to Amazon Redshift

Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Sync for automated, continuous, customizable Gumroad replication to Amazon Redshift.

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Gumroad data into your Amazon Redshift instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.

Configure Amazon Redshift as a Replication Destination

Using CData Sync, you can replicate Gumroad data to Amazon Redshift. To add a replication destination, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select the Destinations tab and locate the Amazon Redshift connector.
  3. Click the Configure Connection icon at the end of that row to open the New Connection page. If the Configure Connection icon is not available, click the Download Connector icon to install the Amazon Redshift connector. For more information about installing new connectors, see Connections in the Help documentation.
  4. To connect to Amazon Redshift, set the following connection properties:
    • Connection Name: Enter a connection name of your choice for the Amazon Redshift connection.
    • Server: Enter the host name or IP of the server that hosts the Amazon Redshift database (for example, example.us-west-2.redshift.amazonaws.com).
    • Database: Enter the name of the database that you create for your Amazon Redshift cluster.
    • AuthScheme: Select the authentication scheme.
    • User: Set this to the username you want to use to authenticate to the Server.
    • Password: Set this to the password you want to use to authenticate to the Server.
    • Port: Set this to the port of the cluster.

    You can obtain these values in the AWS Management Console:

    1. Open the Amazon Redshift console.
    2. On the Clusters page, click the name of the cluster.
    3. On the Configuration tab, obtain the properties from the Cluster Database Properties section. The connection property values will be the same as the values set in the ODBC URL.

  5. Once connected, click Create & Test to create, test and save the connection.

You are now connected to Amazon Redshift and can use it as both a source and a destination.

NOTE: You can use the Label feature to add a label for a source or a destination.

In this article, we will demonstrate how to load Gumroad data into Amazon Redshift and utilize it as a destination.

Configure the Gumroad Connection

You can configure a connection to Gumroad from the Connections tab. To add a connection to your Gumroad account, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select a source (Gumroad).
  3. Configure the connection properties.

    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;
    

  4. Click Connect to Gumroad to ensure that the connection is configured properly.
  5. Click Save & Test to save the changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

Replicate Entire Tables

To replicate an entire table, navigate to the Task tab in the Job, click Add Tasks, choose the table(s) from the list of Gumroad tables you wish to replicate into Amazon Redshift, and click Add Tasks again.

Customize Your Replication

You can use the Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to the replication with the help of SQL queries.

Schedule Your Replication

Select the Overview tab in the Job, and click Configure under Schedule. You can schedule a job to run automatically by configuring it to run at specified intervals, ranging from once every 10 minutes to once every month.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Gumroad data to Amazon Redshift.

Run the Replication Job

Once all the required configurations are made for the job, select the Gumroad table you wish to replicate and click Run. After the replication completes successfully, a notification appears, showing the time taken to run the job and the number of rows replicated.

Free Trial & More Information

Now that you have seen how to replicate Gumroad data into Amazon Redshift, visit our CData Sync page to explore more about CData Sync and download a free 30-day trial. Start consolidating your enterprise data today!

As always, our world-class Support Team is ready to answer any questions you may have.

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