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The CData API Driver for JDBC connects SparkPost 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 SparkPost data.
This article demonstrates how to use the CData API Driver for JDBC inside of a Mule project to create a Web interface for SparkPost data. The application created allows you to request SparkPost 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.
Start by setting the Profile connection property to the location of the SparkPost Profile on disk (e.g. C:\profiles\SparkPost.apip). Next, set the ProfileSettings connection property to the connection string for SparkPost (see below).
Generate an API key by navigating to Configuration > API Keys > Create API Key in your SparkPost account.
For assistance in constructing the JDBC URL, use the connection string designer built into the SparkPost JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.api.jar
Fill in the connection properties and copy the connection string to the clipboard.
SELECT Id, Name FROM ABTests WHERE Status = 'completed'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 SparkPost 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 SparkPost and see the CData difference in your Mule Applications today.
Connect to live data from SparkPost with the API Driver
Connect to SparkPost