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The CData JDBC Driver for Confluence connects Confluence data to Mule applications enabling read functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze Confluence data.
This article demonstrates how to use the CData JDBC Driver for Confluence inside of a Mule project to create a Web interface for Confluence data. The application created allows you to request Confluence data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the hundreds of available data sources.
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.
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.):
To connect to a Server instance, provide the following:
For assistance in constructing the JDBC URL, use the connection string designer built into the Confluence JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.confluence.jar
Fill in the connection properties and copy the connection string to the clipboard.
SELECT Key, Name FROM Pages WHERE Id = '10000'๐ Configure the Select object (Salesforce is Shown)
%dw 2.0 output application/json --- payload๐ Add the Transform Message Component to the Flow
At this point, you have a simple Web interface for working with Confluence data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for Confluence and see the CData difference in your Mule Applications today.
Download a free trial of the Confluence Driver to get started:
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๐ Confluence IconRapidly create and deploy powerful Java applications that integrate with Confluence.