Build Pipelines with Live Confluence Data in Google Cloud Data Fusion (via CData Connect Cloud)

Google Cloud Data Fusion simplifies building and managing data pipelines by offering a visual interface to connect, transform, and move data across various sources and destinations, streamlining data integration processes. When combined with CData Connect Cloud, it provides access to Confluence data for building and managing ELT/ETL data pipelines. This article explains how to use CData Connect Cloud to create a live connection to Confluence and how to connect and access live Confluence data from the Cloud Data Fusion platform.

Configure Confluence Connectivity for Cloud Data Fusion

Connectivity to Confluence from Cloud Data Fusion is made possible through CData Connect Cloud. To work with Confluence data from Cloud Data Fusion, we start by creating and configuring a Confluence connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Confluence" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Confluence.

   Obtaining an API Token

   An API token is necessary for account authentication. To generate one, login to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.

   Connect Using a Confluence Cloud Account

   To connect to a Cloud account, provide the following (Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.):

   • User: The user which will be used to authenticate with the Confluence server.
   • APIToken: The API Token associated with the currently authenticated user.
   • Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.

   Connect Using a Confluence Server Instance

   To connect to a Server instance, provide the following:

   • User: The user which will be used to authenticate with the Confluence instance.
   • Password: The password which will be used to authenticate with the Confluence server.
   • Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.
4. Click Create & Test
5. Navigate to the Permissions tab in the Add Confluence Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to Confluence data from Cloud Data Fusion.

Connecting to Confluence from Cloud Data Fusion

Follow these steps to establish a connection from Cloud Data Fusion to Confluence through the CData Connect Cloud JDBC driver:

1. Download and install the CData Connect Cloud JDBC driver:
   1. Open the Client Tools page of CData Connect Cloud.
   2. Search for JDBC or Cloud Data Fusion.
   3. Click on Download and select your operating system (Mac/Windows/Linux).
   4. Once the download is complete, run the setup file.
   5. When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).
2. Log into Cloud Data Fusion.
3. Click the green "+" button at the top right to add an entity.
4. Under Driver, click Upload.
5. Now, upload the CData Connect Cloud JDBC driver (JAR file).
6. Enter the driver settings:
   • Name: Enter the name of the driver
   • Class name: Enter "cdata.jdbc.connect.ConnectDriver"
   • Version: Enter the driver version
   • Description (optional): Enter a description for the driver
7. Click on Finish.
8. Enter source configuration settings:
   • Label: Helps to identify the connection
   • JDBC driver name: Enter the JDBC driver name to identify the driver configured in Step 6.
   • Connection string: Enter the JDBC connection string and include the following parameters in it: jdbc:connect:AuthScheme=Basic;User=[User];Password=[Password];
   • User: Enter your CData Connect Cloud username, displayed in the top-right corner of the CData Connect Cloud interface. For example, "[email protected]"
   • Password: Enter the PAT you generated on the Settings page.
9. Click Validate in the top right corner.
10. If the connection is successful, you can manage the pipeline by editing it through the UI.
11. Run the pipepline created.

Troubleshooting

Please be aware that there is a known issue in Cloud Data Fusion where "int" types from source data are automatically cast as "long".

Live Access to Confluence Data from Cloud Applications

Now you have a direct connection to live Confluence data from from Google Cloud Data Fusion. You can create more connections to ensure a smooth movement of data across various sources and destinations, thereby streamlining data integration processes - all without replicating Confluence data.

To get real-time data access to 100+ SaaS, Big Data, and NoSQL sources (including Confluence) directly from your cloud applications, explore the CData Connect Cloud.